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Significance of the Study – Examples and Writing Guide

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Significance of the Study

Definition:

Significance of the study in research refers to the potential importance, relevance, or impact of the research findings. It outlines how the research contributes to the existing body of knowledge, what gaps it fills, or what new understanding it brings to a particular field of study.

In general, the significance of a study can be assessed based on several factors, including:

• Originality : The extent to which the study advances existing knowledge or introduces new ideas and perspectives.
• Practical relevance: The potential implications of the study for real-world situations, such as improving policy or practice.
• Theoretical contribution: The extent to which the study provides new insights or perspectives on theoretical concepts or frameworks.
• Methodological rigor : The extent to which the study employs appropriate and robust methods and techniques to generate reliable and valid data.
• Social or cultural impact : The potential impact of the study on society, culture, or public perception of a particular issue.

Types of Significance of the Study

The significance of the Study can be divided into the following types:

Theoretical Significance

Theoretical significance refers to the contribution that a study makes to the existing body of theories in a specific field. This could be by confirming, refuting, or adding nuance to a currently accepted theory, or by proposing an entirely new theory.

Practical Significance

Practical significance refers to the direct applicability and usefulness of the research findings in real-world contexts. Studies with practical significance often address real-life problems and offer potential solutions or strategies. For example, a study in the field of public health might identify a new intervention that significantly reduces the spread of a certain disease.

Significance for Future Research

This pertains to the potential of a study to inspire further research. A study might open up new areas of investigation, provide new research methodologies, or propose new hypotheses that need to be tested.

How to Write Significance of the Study

Here’s a guide to writing an effective “Significance of the Study” section in research paper, thesis, or dissertation:

• Background : Begin by giving some context about your study. This could include a brief introduction to your subject area, the current state of research in the field, and the specific problem or question your study addresses.
• Identify the Gap : Demonstrate that there’s a gap in the existing literature or knowledge that needs to be filled, which is where your study comes in. The gap could be a lack of research on a particular topic, differing results in existing studies, or a new problem that has arisen and hasn’t yet been studied.
• State the Purpose of Your Study : Clearly state the main objective of your research. You may want to state the purpose as a solution to the problem or gap you’ve previously identified.
• Contributes to the existing body of knowledge.
• Addresses a significant research gap.
• Offers a new or better solution to a problem.
• Impacts policy or practice.
• Leads to improvements in a particular field or sector.
• Identify Beneficiaries : Identify who will benefit from your study. This could include other researchers, practitioners in your field, policy-makers, communities, businesses, or others. Explain how your findings could be used and by whom.
• Future Implications : Discuss the implications of your study for future research. This could involve questions that are left open, new questions that have been raised, or potential future methodologies suggested by your study.

Significance of the Study in Research Paper

The Significance of the Study in a research paper refers to the importance or relevance of the research topic being investigated. It answers the question “Why is this research important?” and highlights the potential contributions and impacts of the study.

The significance of the study can be presented in the introduction or background section of a research paper. It typically includes the following components:

• Importance of the research problem: This describes why the research problem is worth investigating and how it relates to existing knowledge and theories.
• Potential benefits and implications: This explains the potential contributions and impacts of the research on theory, practice, policy, or society.
• Originality and novelty: This highlights how the research adds new insights, approaches, or methods to the existing body of knowledge.
• Scope and limitations: This outlines the boundaries and constraints of the research and clarifies what the study will and will not address.

Suppose a researcher is conducting a study on the “Effects of social media use on the mental health of adolescents”.

The significance of the study may be:

“The present study is significant because it addresses a pressing public health issue of the negative impact of social media use on adolescent mental health. Given the widespread use of social media among this age group, understanding the effects of social media on mental health is critical for developing effective prevention and intervention strategies. This study will contribute to the existing literature by examining the moderating factors that may affect the relationship between social media use and mental health outcomes. It will also shed light on the potential benefits and risks of social media use for adolescents and inform the development of evidence-based guidelines for promoting healthy social media use among this population. The limitations of this study include the use of self-reported measures and the cross-sectional design, which precludes causal inference.”

Significance of the Study In Thesis

The significance of the study in a thesis refers to the importance or relevance of the research topic and the potential impact of the study on the field of study or society as a whole. It explains why the research is worth doing and what contribution it will make to existing knowledge.

For example, the significance of a thesis on “Artificial Intelligence in Healthcare” could be:

• With the increasing availability of healthcare data and the development of advanced machine learning algorithms, AI has the potential to revolutionize the healthcare industry by improving diagnosis, treatment, and patient outcomes. Therefore, this thesis can contribute to the understanding of how AI can be applied in healthcare and how it can benefit patients and healthcare providers.
• AI in healthcare also raises ethical and social issues, such as privacy concerns, bias in algorithms, and the impact on healthcare jobs. By exploring these issues in the thesis, it can provide insights into the potential risks and benefits of AI in healthcare and inform policy decisions.
• Finally, the thesis can also advance the field of computer science by developing new AI algorithms or techniques that can be applied to healthcare data, which can have broader applications in other industries or fields of research.

Significance of the Study in Research Proposal

The significance of a study in a research proposal refers to the importance or relevance of the research question, problem, or objective that the study aims to address. It explains why the research is valuable, relevant, and important to the academic or scientific community, policymakers, or society at large. A strong statement of significance can help to persuade the reviewers or funders of the research proposal that the study is worth funding and conducting.

Here is an example of a significance statement in a research proposal:

Title : The Effects of Gamification on Learning Programming: A Comparative Study

Significance Statement:

This proposed study aims to investigate the effects of gamification on learning programming. With the increasing demand for computer science professionals, programming has become a fundamental skill in the computer field. However, learning programming can be challenging, and students may struggle with motivation and engagement. Gamification has emerged as a promising approach to improve students’ engagement and motivation in learning, but its effects on programming education are not yet fully understood. This study is significant because it can provide valuable insights into the potential benefits of gamification in programming education and inform the development of effective teaching strategies to enhance students’ learning outcomes and interest in programming.

Examples of Significance of the Study

Here are some examples of the significance of a study that indicates how you can write this into your research paper according to your research topic:

Research on an Improved Water Filtration System : This study has the potential to impact millions of people living in water-scarce regions or those with limited access to clean water. A more efficient and affordable water filtration system can reduce water-borne diseases and improve the overall health of communities, enabling them to lead healthier, more productive lives.

Study on the Impact of Remote Work on Employee Productivity : Given the shift towards remote work due to recent events such as the COVID-19 pandemic, this study is of considerable significance. Findings could help organizations better structure their remote work policies and offer insights on how to maximize employee productivity, wellbeing, and job satisfaction.

Investigation into the Use of Solar Power in Developing Countries : With the world increasingly moving towards renewable energy, this study could provide important data on the feasibility and benefits of implementing solar power solutions in developing countries. This could potentially stimulate economic growth, reduce reliance on non-renewable resources, and contribute to global efforts to combat climate change.

Research on New Learning Strategies in Special Education : This study has the potential to greatly impact the field of special education. By understanding the effectiveness of new learning strategies, educators can improve their curriculum to provide better support for students with learning disabilities, fostering their academic growth and social development.

Examination of Mental Health Support in the Workplace : This study could highlight the impact of mental health initiatives on employee wellbeing and productivity. It could influence organizational policies across industries, promoting the implementation of mental health programs in the workplace, ultimately leading to healthier work environments.

Evaluation of a New Cancer Treatment Method : The significance of this study could be lifesaving. The research could lead to the development of more effective cancer treatments, increasing the survival rate and quality of life for patients worldwide.

When to Write Significance of the Study

The Significance of the Study section is an integral part of a research proposal or a thesis. This section is typically written after the introduction and the literature review. In the research process, the structure typically follows this order:

• Title – The name of your research.
• Abstract – A brief summary of the entire research.
• Introduction – A presentation of the problem your research aims to solve.
• Literature Review – A review of existing research on the topic to establish what is already known and where gaps exist.
• Significance of the Study – An explanation of why the research matters and its potential impact.

In the Significance of the Study section, you will discuss why your study is important, who it benefits, and how it adds to existing knowledge or practice in your field. This section is your opportunity to convince readers, and potentially funders or supervisors, that your research is valuable and worth undertaking.

Advantages of Significance of the Study

The Significance of the Study section in a research paper has multiple advantages:

• Establishes Relevance: This section helps to articulate the importance of your research to your field of study, as well as the wider society, by explicitly stating its relevance. This makes it easier for other researchers, funders, and policymakers to understand why your work is necessary and worth supporting.
• Guides the Research: Writing the significance can help you refine your research questions and objectives. This happens as you critically think about why your research is important and how it contributes to your field.
• Attracts Funding: If you are seeking funding or support for your research, having a well-written significance of the study section can be key. It helps to convince potential funders of the value of your work.
• Opens up Further Research: By stating the significance of the study, you’re also indicating what further research could be carried out in the future, based on your work. This helps to pave the way for future studies and demonstrates that your research is a valuable addition to the field.
• Provides Practical Applications: The significance of the study section often outlines how the research can be applied in real-world situations. This can be particularly important in applied sciences, where the practical implications of research are crucial.
• Enhances Understanding: This section can help readers understand how your study fits into the broader context of your field, adding value to the existing literature and contributing new knowledge or insights.

Limitations of Significance of the Study

The Significance of the Study section plays an essential role in any research. However, it is not without potential limitations. Here are some that you should be aware of:

• Subjectivity: The importance and implications of a study can be subjective and may vary from person to person. What one researcher considers significant might be seen as less critical by others. The assessment of significance often depends on personal judgement, biases, and perspectives.
• Predictability of Impact: While you can outline the potential implications of your research in the Significance of the Study section, the actual impact can be unpredictable. Research doesn’t always yield the expected results or have the predicted impact on the field or society.
• Difficulty in Measuring: The significance of a study is often qualitative and can be challenging to measure or quantify. You can explain how you think your research will contribute to your field or society, but measuring these outcomes can be complex.
• Possibility of Overstatement: Researchers may feel pressured to amplify the potential significance of their study to attract funding or interest. This can lead to overstating the potential benefits or implications, which can harm the credibility of the study if these results are not achieved.
• Overshadowing of Limitations: Sometimes, the significance of the study may overshadow the limitations of the research. It is important to balance the potential significance with a thorough discussion of the study’s limitations.
• Dependence on Successful Implementation: The significance of the study relies on the successful implementation of the research. If the research process has flaws or unexpected issues arise, the anticipated significance might not be realized.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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What is the Significance of a Study? Examples and Guide

If you’re reading this post you’re probably wondering: what is the significance of a study?

No matter where you’re at with a piece of research, it is a good idea to think about the potential significance of your work. And sometimes you’ll have to explicitly write a statement of significance in your papers, it addition to it forming part of your thesis.

In this post I’ll cover what the significance of a study is, how to measure it, how to describe it with examples and add in some of my own experiences having now worked in research for over nine years.

If you’re reading this because you’re writing up your first paper, welcome! You may also like my how-to guide for all aspects of writing your first research paper .

Looking for guidance on writing the statement of significance for a paper or thesis? Click here to skip straight to that section.

What is the Significance of a Study?

For research papers, theses or dissertations it’s common to explicitly write a section describing the significance of the study. We’ll come onto what to include in that section in just a moment.

However the significance of a study can actually refer to several different things.

Working our way from the most technical to the broadest, depending on the context, the significance of a study may refer to:

• Within your study: Statistical significance. Can we trust the findings?
• Wider research field: Research significance. How does your study progress the field?
• Commercial / economic significance: Could there be business opportunities for your findings?
• Societal significance: What impact could your study have on the wider society.
• And probably other domain-specific significance!

We’ll shortly cover each of them in turn, including how they’re measured and some examples for each type of study significance.

But first, let’s touch on why you should consider the significance of your research at an early stage.

Why Care About the Significance of a Study?

No matter what is motivating you to carry out your research, it is sensible to think about the potential significance of your work. In the broadest sense this asks, how does the study contribute to the world?

After all, for many people research is only worth doing if it will result in some expected significance. For the vast majority of us our studies won’t be significant enough to reach the evening news, but most studies will help to enhance knowledge in a particular field and when research has at least some significance it makes for a far more fulfilling longterm pursuit.

Furthermore, a lot of us are carrying out research funded by the public. It therefore makes sense to keep an eye on what benefits the work could bring to the wider community.

Often in research you’ll come to a crossroads where you must decide which path of research to pursue. Thinking about the potential benefits of a strand of research can be useful for deciding how to spend your time, money and resources.

It’s worth noting though, that not all research activities have to work towards obvious significance. This is especially true while you’re a PhD student, where you’re figuring out what you enjoy and may simply be looking for an opportunity to learn a new skill.

However, if you’re trying to decide between two potential projects, it can be useful to weigh up the potential significance of each.

Let’s now dive into the different types of significance, starting with research significance.

Research Significance

What is the research significance of a study.

Unless someone specifies which type of significance they’re referring to, it is fair to assume that they want to know about the research significance of your study.

Research significance describes how your work has contributed to the field, how it could inform future studies and progress research.

Where should I write about my study’s significance in my thesis?

Typically you should write about your study’s significance in the Introduction and Conclusions sections of your thesis.

It’s important to mention it in the Introduction so that the relevance of your work and the potential impact and benefits it could have on the field are immediately apparent. Explaining why your work matters will help to engage readers (and examiners!) early on.

It’s also a good idea to detail the study’s significance in your Conclusions section. This adds weight to your findings and helps explain what your study contributes to the field.

On occasion you may also choose to include a brief description in your Abstract.

What is expected when submitting an article to a journal

It is common for journals to request a statement of significance, although this can sometimes be called other things such as:

• Impact statement
• Significance statement
• Advances in knowledge section

Here is one such example of what is expected:

Impact Statement:  An Impact Statement is required for all submissions.  Your impact statement will be evaluated by the Editor-in-Chief, Global Editors, and appropriate Associate Editor. For your manuscript to receive full review, the editors must be convinced that it is an important advance in for the field. The Impact Statement is not a restating of the abstract. It should address the following: Why is the work submitted important to the field? How does the work submitted advance the field? What new information does this work impart to the field? How does this new information impact the field? Experimental Biology and Medicine journal, author guidelines

Typically the impact statement will be shorter than the Abstract, around 150 words.

Defining the study’s significance is helpful not just for the impact statement (if the journal asks for one) but also for building a more compelling argument throughout your submission. For instance, usually you’ll start the Discussion section of a paper by highlighting the research significance of your work. You’ll also include a short description in your Abstract too.

How to describe the research significance of a study, with examples

Whether you’re writing a thesis or a journal article, the approach to writing about the significance of a study are broadly the same.

I’d therefore suggest using the questions above as a starting point to base your statements on.

• Why is the work submitted important to the field?
• How does the work submitted advance the field?
• What new information does this work impart to the field?
• How does this new information impact the field?

Answer those questions and you’ll have a much clearer idea of the research significance of your work.

When describing it, try to clearly state what is novel about your study’s contribution to the literature. Then go on to discuss what impact it could have on progressing the field along with recommendations for future work.

Potential sentence starters

If you’re not sure where to start, why not set a 10 minute timer and have a go at trying to finish a few of the following sentences. Not sure on what to put? Have a chat to your supervisor or lab mates and they may be able to suggest some ideas.

• This study is important to the field because…
• These findings advance the field by…
• Our results highlight the importance of…
• Our discoveries impact the field by…

Now you’ve had a go let’s have a look at some real life examples.

Statement of significance examples

A statement of significance / impact:

Impact Statement This review highlights the historical development of the concept of “ideal protein” that began in the 1950s and 1980s for poultry and swine diets, respectively, and the major conceptual deficiencies of the long-standing concept of “ideal protein” in animal nutrition based on recent advances in amino acid (AA) metabolism and functions. Nutritionists should move beyond the “ideal protein” concept to consider optimum ratios and amounts of all proteinogenic AAs in animal foods and, in the case of carnivores, also taurine. This will help formulate effective low-protein diets for livestock, poultry, and fish, while sustaining global animal production. Because they are not only species of agricultural importance, but also useful models to study the biology and diseases of humans as well as companion (e.g. dogs and cats), zoo, and extinct animals in the world, our work applies to a more general readership than the nutritionists and producers of farm animals. Wu G, Li P. The “ideal protein” concept is not ideal in animal nutrition.  Experimental Biology and Medicine . 2022;247(13):1191-1201. doi: 10.1177/15353702221082658

And the same type of section but this time called “Advances in knowledge”:

Advances in knowledge: According to the MY-RADs criteria, size measurements of focal lesions in MRI are now of relevance for response assessment in patients with monoclonal plasma cell disorders. Size changes of 1 or 2 mm are frequently observed due to uncertainty of the measurement only, while the actual focal lesion has not undergone any biological change. Size changes of at least 6 mm or more in  T 1  weighted or  T 2  weighted short tau inversion recovery sequences occur in only 5% or less of cases when the focal lesion has not undergone any biological change. Wennmann M, Grözinger M, Weru V, et al. Test-retest, inter- and intra-rater reproducibility of size measurements of focal bone marrow lesions in MRI in patients with multiple myeloma [published online ahead of print, 2023 Apr 12].  Br J Radiol . 2023;20220745. doi: 10.1259/bjr.20220745

Other examples of research significance

Moving beyond the formal statement of significance, here is how you can describe research significance more broadly within your paper.

Describing research impact in an Abstract of a paper:

Three-dimensional visualisation and quantification of the chondrocyte population within articular cartilage can be achieved across a field of view of several millimetres using laboratory-based micro-CT. The ability to map chondrocytes in 3D opens possibilities for research in fields from skeletal development through to medical device design and treatment of cartilage degeneration. Conclusions section of the abstract in my first paper .

In the Discussion section of a paper:

We report for the utility of a standard laboratory micro-CT scanner to visualise and quantify features of the chondrocyte population within intact articular cartilage in 3D. This study represents a complimentary addition to the growing body of evidence supporting the non-destructive imaging of the constituents of articular cartilage. This offers researchers the opportunity to image chondrocyte distributions in 3D without specialised synchrotron equipment, enabling investigations such as chondrocyte morphology across grades of cartilage damage, 3D strain mapping techniques such as digital volume correlation to evaluate mechanical properties  in situ , and models for 3D finite element analysis  in silico  simulations. This enables an objective quantification of chondrocyte distribution and morphology in three dimensions allowing greater insight for investigations into studies of cartilage development, degeneration and repair. One such application of our method, is as a means to provide a 3D pattern in the cartilage which, when combined with digital volume correlation, could determine 3D strain gradient measurements enabling potential treatment and repair of cartilage degeneration. Moreover, the method proposed here will allow evaluation of cartilage implanted with tissue engineered scaffolds designed to promote chondral repair, providing valuable insight into the induced regenerative process. The Discussion section of the paper is laced with references to research significance.

How is longer term research significance measured?

Looking beyond writing impact statements within papers, sometimes you’ll want to quantify the long term research significance of your work. For instance when applying for jobs.

The most obvious measure of a study’s long term research significance is the number of citations it receives from future publications. The thinking is that a study which receives more citations will have had more research impact, and therefore significance , than a study which received less citations. Citations can give a broad indication of how useful the work is to other researchers but citations aren’t really a good measure of significance.

Bear in mind that us researchers can be lazy folks and sometimes are simply looking to cite the first paper which backs up one of our claims. You can find studies which receive a lot of citations simply for packaging up the obvious in a form which can be easily found and referenced, for instance by having a catchy or optimised title.

Likewise, research activity varies wildly between fields. Therefore a certain study may have had a big impact on a particular field but receive a modest number of citations, simply because not many other researchers are working in the field.

Nevertheless, citations are a standard measure of significance and for better or worse it remains impressive for someone to be the first author of a publication receiving lots of citations.

Other measures for the research significance of a study include:

• Accolades: best paper awards at conferences, thesis awards, “most downloaded” titles for articles, press coverage.
• How much follow-on research the study creates. For instance, part of my PhD involved a novel material initially developed by another PhD student in the lab. That PhD student’s research had unlocked lots of potential new studies and now lots of people in the group were using the same material and developing it for different applications. The initial study may not receive a high number of citations yet long term it generated a lot of research activity.

That covers research significance, but you’ll often want to consider other types of significance for your study and we’ll cover those next.

Statistical Significance

What is the statistical significance of a study.

Often as part of a study you’ll carry out statistical tests and then state the statistical significance of your findings: think p-values eg <0.05. It is useful to describe the outcome of these tests within your report or paper, to give a measure of statistical significance.

Effectively you are trying to show whether the performance of your innovation is actually better than a control or baseline and not just chance. Statistical significance deserves a whole other post so I won’t go into a huge amount of depth here.

Things that make publication in  The BMJ  impossible or unlikely Internal validity/robustness of the study • It had insufficient statistical power, making interpretation difficult; • Lack of statistical power; The British Medical Journal’s guide for authors

Calculating statistical significance isn’t always necessary (or valid) for a study, such as if you have a very small number of samples, but it is a very common requirement for scientific articles.

Writing a journal article? Check the journal’s guide for authors to see what they expect. Generally if you have approximately five or more samples or replicates it makes sense to start thinking about statistical tests. Speak to your supervisor and lab mates for advice, and look at other published articles in your field.

How is statistical significance measured?

Statistical significance is quantified using p-values . Depending on your study design you’ll choose different statistical tests to compute the p-value.

A p-value of 0.05 is a common threshold value. The 0.05 means that there is a 1/20 chance that the difference in performance you’re reporting is just down to random chance.

• p-values above 0.05 mean that the result isn’t statistically significant enough to be trusted: it is too likely that the effect you’re showing is just luck.
• p-values less than or equal to 0.05 mean that the result is statistically significant. In other words: unlikely to just be chance, which is usually considered a good outcome.

Low p-values (eg p = 0.001) mean that it is highly unlikely to be random chance (1/1000 in the case of p = 0.001), therefore more statistically significant.

It is important to clarify that, although low p-values mean that your findings are statistically significant, it doesn’t automatically mean that the result is scientifically important. More on that in the next section on research significance.

How to describe the statistical significance of your study, with examples

In the first paper from my PhD I ran some statistical tests to see if different staining techniques (basically dyes) increased how well you could see cells in cow tissue using micro-CT scanning (a 3D imaging technique).

In your methods section you should mention the statistical tests you conducted and then in the results you will have statements such as:

Between mediums for the two scan protocols C/N [contrast to noise ratio] was greater for EtOH than the PBS in both scanning methods (both  p  < 0.0001) with mean differences of 1.243 (95% CI [confidence interval] 0.709 to 1.778) for absorption contrast and 6.231 (95% CI 5.772 to 6.690) for propagation contrast. … Two repeat propagation scans were taken of samples from the PTA-stained groups. No difference in mean C/N was found with either medium: PBS had a mean difference of 0.058 ( p  = 0.852, 95% CI -0.560 to 0.676), EtOH had a mean difference of 1.183 ( p  = 0.112, 95% CI 0.281 to 2.648). From the Results section of my first paper, available here . Square brackets added for this post to aid clarity.

From this text the reader can infer from the first paragraph that there was a statistically significant difference in using EtOH compared to PBS (really small p-value of <0.0001). However, from the second paragraph, the difference between two repeat scans was statistically insignificant for both PBS (p = 0.852) and EtOH (p = 0.112).

By conducting these statistical tests you have then earned your right to make bold statements, such as these from the discussion section:

Propagation phase-contrast increases the contrast of individual chondrocytes [cartilage cells] compared to using absorption contrast. From the Discussion section from the same paper.

Without statistical tests you have no evidence that your results are not just down to random chance.

Beyond describing the statistical significance of a study in the main body text of your work, you can also show it in your figures.

In figures such as bar charts you’ll often see asterisks to represent statistical significance, and “n.s.” to show differences between groups which are not statistically significant. Here is one such figure, with some subplots, from the same paper:

In this example an asterisk (*) between two bars represents p < 0.05. Two asterisks (**) represents p < 0.001 and three asterisks (***) represents p < 0.0001. This should always be stated in the caption of your figure since the values that each asterisk refers to can vary.

Now that we know if a study is showing statistically and research significance, let’s zoom out a little and consider the potential for commercial significance.

Commercial and Industrial Significance

What are commercial and industrial significance.

Moving beyond significance in relation to academia, your research may also have commercial or economic significance.

Simply put:

• Commercial significance: could the research be commercialised as a product or service? Perhaps the underlying technology described in your study could be licensed to a company or you could even start your own business using it.
• Industrial significance: more widely than just providing a product which could be sold, does your research provide insights which may affect a whole industry? Such as: revealing insights or issues with current practices, performance gains you don’t want to commercialise (e.g. solar power efficiency), providing suggested frameworks or improvements which could be employed industry-wide.

I’ve grouped these two together because there can certainly be overlap. For instance, perhaps your new technology could be commercialised whilst providing wider improvements for the whole industry.

Commercial and industrial significance are not relevant to most studies, so only write about it if you and your supervisor can think of reasonable routes to your work having an impact in these ways.

How are commercial and industrial significance measured?

Unlike statistical and research significances, the measures of commercial and industrial significance can be much more broad.

Here are some potential measures of significance:

Commercial significance:

• How much value does your technology bring to potential customers or users?
• How big is the potential market and how much revenue could the product potentially generate?
• Is the intellectual property protectable? i.e. patentable, or if not could the novelty be protected with trade secrets: if so publish your method with caution!
• If commercialised, could the product bring employment to a geographical area?

Industrial significance:

What impact could it have on the industry? For instance if you’re revealing an issue with something, such as unintended negative consequences of a drug , what does that mean for the industry and the public? This could be:

• Reduced overhead costs
• Better safety
• Faster production methods
• Improved scaleability

How to describe the commercial and industrial significance of a study, with examples

Commercial significance.

If your technology could be commercially viable, and you’ve got an interest in commercialising it yourself, it is likely that you and your university may not want to immediately publish the study in a journal.

You’ll probably want to consider routes to exploiting the technology and your university may have a “technology transfer” team to help researchers navigate the various options.

However, if instead of publishing a paper you’re submitting a thesis or dissertation then it can be useful to highlight the commercial significance of your work. In this instance you could include statements of commercial significance such as:

The measurement technology described in this study provides state of the art performance and could enable the development of low cost devices for aerospace applications. An example of commercial significance I invented for this post

Industrial significance

First, think about the industrial sectors who could benefit from the developments described in your study.

For example if you’re working to improve battery efficiency it is easy to think of how it could lead to performance gains for certain industries, like personal electronics or electric vehicles. In these instances you can describe the industrial significance relatively easily, based off your findings.

For example:

By utilising abundant materials in the described battery fabrication process we provide a framework for battery manufacturers to reduce dependence on rare earth components. Again, an invented example

For other technologies there may well be industrial applications but they are less immediately obvious and applicable. In these scenarios the best you can do is to simply reframe your research significance statement in terms of potential commercial applications in a broad way.

As a reminder: not all studies should address industrial significance, so don’t try to invent applications just for the sake of it!

Societal Significance

What is the societal significance of a study.

The most broad category of significance is the societal impact which could stem from it.

If you’re working in an applied field it may be quite easy to see a route for your research to impact society. For others, the route to societal significance may be less immediate or clear.

Studies can help with big issues facing society such as:

• Medical applications : vaccines, surgical implants, drugs, improving patient safety. For instance this medical device and drug combination I worked on which has a very direct route to societal significance.
• Political significance : Your research may provide insights which could contribute towards potential changes in policy or better understanding of issues facing society.
• Public health : for instance COVID-19 transmission and related decisions.
• Climate change : mitigation such as more efficient solar panels and lower cost battery solutions, and studying required adaptation efforts and technologies. Also, better understanding around related societal issues, for instance this study on the effects of temperature on hate speech.

How is societal significance measured?

Societal significance at a high level can be quantified by the size of its potential societal effect. Just like a lab risk assessment, you can think of it in terms of probability (or how many people it could help) and impact magnitude.

Societal impact = How many people it could help x the magnitude of the impact

Think about how widely applicable the findings are: for instance does it affect only certain people? Then think about the potential size of the impact: what kind of difference could it make to those people?

Between these two metrics you can get a pretty good overview of the potential societal significance of your research study.

How to describe the societal significance of a study, with examples

Quite often the broad societal significance of your study is what you’re setting the scene for in your Introduction. In addition to describing the existing literature, it is common to for the study’s motivation to touch on its wider impact for society.

For those of us working in healthcare research it is usually pretty easy to see a path towards societal significance.

Our CLOUT model has state-of-the-art performance in mortality prediction, surpassing other competitive NN models and a logistic regression model … Our results show that the risk factors identified by the CLOUT model agree with physicians’ assessment, suggesting that CLOUT could be used in real-world clinicalsettings. Our results strongly support that CLOUT may be a useful tool to generate clinical prediction models, especially among hospitalized and critically ill patient populations. Learning Latent Space Representations to Predict Patient Outcomes: Model Development and Validation

In other domains the societal significance may either take longer or be more indirect, meaning that it can be more difficult to describe the societal impact.

Even so, here are some examples I’ve found from studies in non-healthcare domains:

We examined food waste as an initial investigation and test of this methodology, and there is clear potential for the examination of not only other policy texts related to food waste (e.g., liability protection, tax incentives, etc.; Broad Leib et al., 2020) but related to sustainable fishing (Worm et al., 2006) and energy use (Hawken, 2017). These other areas are of obvious relevance to climate change… AI-Based Text Analysis for Evaluating Food Waste Policies

The continued development of state-of-the art NLP tools tailored to climate policy will allow climate researchers and policy makers to extract meaningful information from this growing body of text, to monitor trends over time and administrative units, and to identify potential policy improvements. BERT Classification of Paris Agreement Climate Action Plans

Top Tips For Identifying & Writing About the Significance of Your Study

• Writing a thesis? Describe the significance of your study in the Introduction and the Conclusion .
• Submitting a paper? Read the journal’s guidelines. If you’re writing a statement of significance for a journal, make sure you read any guidance they give for what they’re expecting.
• Take a step back from your research and consider your study’s main contributions.
• Read previously published studies in your field . Use this for inspiration and ideas on how to describe the significance of your own study
• Discuss the study with your supervisor and potential co-authors or collaborators and brainstorm potential types of significance for it.

Now you’ve finished reading up on the significance of a study you may also like my how-to guide for all aspects of writing your first research paper .

Writing an academic journal paper

I hope that you’ve learned something useful from this article about the significance of a study. If you have any more research-related questions let me know, I’m here to help.

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How To Write a Significance Statement for Your Research

A significance statement is an essential part of a research paper. It explains the importance and relevance of the study to the academic community and the world at large. To write a compelling significance statement, identify the research problem, explain why it is significant, provide evidence of its importance, and highlight its potential impact on future research, policy, or practice. A well-crafted significance statement should effectively communicate the value of the research to readers and help them understand why it matters.

Updated on May 4, 2023

A significance statement is a clearly stated, non-technical paragraph that explains why your research matters. It’s central in making the public aware of and gaining support for your research.

Write it in jargon-free language that a reader from any field can understand. Well-crafted, easily readable significance statements can improve your chances for citation and impact and make it easier for readers outside your field to find and understand your work.

Read on for more details on what a significance statement is, how it can enhance the impact of your research, and, of course, how to write one.

What is a significance statement in research?

A significance statement answers the question: How will your research advance scientific knowledge and impact society at large (as well as specific populations)? 

You might also see it called a “Significance of the study” statement. Some professional organizations in the STEM sciences and social sciences now recommended that journals in their disciplines make such statements a standard feature of each published article. Funding agencies also consider “significance” a key criterion for their awards.

Read some examples of significance statements from the Proceedings of the National Academy of Sciences (PNAS) here .

Depending upon the specific journal or funding agency’s requirements, your statement may be around 100 words and answer these questions:

1. What’s the purpose of this research?

2. What are its key findings?

3. Why do they matter?

4. Who benefits from the research results?

Readers will want to know: “What is interesting or important about this research?” Keep asking yourself that question.

Where to place the significance statement in your manuscript

Most journals ask you to place the significance statement before or after the abstract, so check with each journal’s guide. 

This article is focused on the formal significance statement, even though you’ll naturally highlight your project’s significance elsewhere in your manuscript. (In the introduction, you’ll set out your research aims, and in the conclusion, you’ll explain the potential applications of your research and recommend areas for future research. You’re building an overall case for the value of your work.)

Developing the significance statement

The main steps in planning and developing your statement are to assess the gaps to which your study contributes, and then define your work’s implications and impact.

Identify what gaps your study fills and what it contributes

Your literature review was a big part of how you planned your study. To develop your research aims and objectives, you identified gaps or unanswered questions in the preceding research and designed your study to address them.

Go back to that lit review and look at those gaps again. Review your research proposal to refresh your memory. Ask:

• How have my research findings advanced knowledge or provided notable new insights?
• How has my research helped to prove (or disprove) a hypothesis or answer a research question?
• Why are those results important?

Consider your study’s potential impact at two levels: 

• What contribution does my research make to my field?
• How does it specifically contribute to knowledge; that is, who will benefit the most from it?

Define the implications and potential impact

As you make notes, keep the reasons in mind for why you are writing this statement. Whom will it impact, and why?

The first audience for your significance statement will be journal reviewers when you submit your article for publishing. Many journals require one for manuscript submissions. Study the author’s guide of your desired journal to see its criteria ( here’s an example ). Peer reviewers who can clearly understand the value of your research will be more likely to recommend publication. 

Second, when you apply for funding, your significance statement will help justify why your research deserves a grant from a funding agency . The U.S. National Institutes of Health (NIH), for example, wants to see that a project will “exert a sustained, powerful influence on the research field(s) involved.” Clear, simple language is always valuable because not all reviewers will be specialists in your field.

Third, this concise statement about your study’s importance can affect how potential readers engage with your work. Science journalists and interested readers can promote and spread your work, enhancing your reputation and influence. Help them understand your work.

You’re now ready to express the importance of your research clearly and concisely. Time to start writing.

How to write a significance statement: Key elements 

When drafting your statement, focus on both the content and writing style.

• In terms of content, emphasize the importance, timeliness, and relevance of your research results. 
• Write the statement in plain, clear language rather than scientific or technical jargon. Your audience will include not just your fellow scientists but also non-specialists like journalists, funding reviewers, and members of the public. 

Follow the process we outline below to build a solid, well-crafted, and informative statement. 

Get started

Some suggested opening lines to help you get started might be:

• The implications of this study are… 
• Building upon previous contributions, our study moves the field forward because…
• Our study furthers previous understanding about…

Alternatively, you may start with a statement about the phenomenon you’re studying, leading to the problem statement.

Include these components

Next, draft some sentences that include the following elements. A good example, which we’ll use here, is a significance statement by Rogers et al. (2022) published in the Journal of Climate .

1. Briefly situate your research study in its larger context . Start by introducing the topic, leading to a problem statement. Here’s an example:

‘Heatwaves pose a major threat to human health, ecosystems, and human systems.”

2. State the research problem.

“Simultaneous heatwaves affecting multiple regions can exacerbate such threats. For example, multiple food-producing regions simultaneously undergoing heat-related crop damage could drive global food shortages.”

3. Tell what your study does to address it.

“We assess recent changes in the occurrence of simultaneous large heatwaves.”

4. Provide brief but powerful evidence to support the claims your statement is making , Use quantifiable terms rather than vague ones (e.g., instead of “This phenomenon is happening now more than ever,” see below how Rogers et al. (2022) explained it). This evidence intensifies and illustrates the problem more vividly:

“Such simultaneous heatwaves are 7 times more likely now than 40 years ago. They are also hotter and affect a larger area. Their increasing occurrence is mainly driven by warming baseline temperatures due to global heating, but changes in weather patterns contribute to disproportionate increases over parts of Europe, the eastern United States, and Asia.

5. Relate your study’s impact to the broader context , starting with its general significance to society—then, when possible, move to the particular as you name specific applications of your research findings. (Our example lacks this second level of application.) 

“Better understanding the drivers of weather pattern changes is therefore important for understanding future concurrent heatwave characteristics and their impacts.”

Refine your English

Don’t understate or overstate your findings – just make clear what your study contributes. When you have all the elements in place, review your draft to simplify and polish your language. Even better, get an expert AJE edit . Be sure to use “plain” language rather than academic jargon.

• Avoid acronyms, scientific jargon, and technical terms 
• Use active verbs in your sentence structure rather than passive voice (e.g., instead of “It was found that...”, use “We found...”)
• Make sentence structures short, easy to understand – readable
• Try to address only one idea in each sentence and keep sentences within 25 words (15 words is even better)
• Eliminate nonessential words and phrases (“fluff” and wordiness)

Enhance your significance statement’s impact

Always take time to review your draft multiple times. Make sure that you:

• Keep your language focused
• Provide evidence to support your claims
• Relate the significance to the broader research context in your field

After revising your significance statement, request feedback from a reading mentor about how to make it even clearer. If you’re not a native English speaker, seek help from a native-English-speaking colleague or use an editing service like AJE to make sure your work is at a native level.

Understanding the significance of your study

Your readers may have much less interest than you do in the specific details of your research methods and measures. Many readers will scan your article to learn how your findings might apply to them and their own research. 

Different types of significance

Your findings may have different types of significance, relevant to different populations or fields of study for different reasons. You can emphasize your work’s statistical, clinical, or practical significance. Editors or reviewers in the social sciences might also evaluate your work’s social or political significance.

Statistical significance means that the results are unlikely to have occurred randomly. Instead, it implies a true cause-and-effect relationship.

Clinical significance means that your findings are applicable for treating patients and improving quality of life.

Practical significance is when your research outcomes are meaningful to society at large, in the “real world.” Practical significance is usually measured by the study’s  effect size . Similarly, evaluators may attribute social or political significance to research that addresses “real and immediate” social problems.

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What is the Significance of the Study?

• By DiscoverPhDs
• August 25, 2020

• what the significance of the study means,
• why it’s important to include in your research work,
• where you would include it in your paper, thesis or dissertation,
• how you write one
• and finally an example of a well written section about the significance of the study.

What does Significance of the Study mean?

The significance of the study is a written statement that explains why your research was needed. It’s a justification of the importance of your work and impact it has on your research field, it’s contribution to new knowledge and how others will benefit from it.

Why is the Significance of the Study important?

The significance of the study, also known as the rationale of the study, is important to convey to the reader why the research work was important. This may be an academic reviewer assessing your manuscript under peer-review, an examiner reading your PhD thesis, a funder reading your grant application or another research group reading your published journal paper. Your academic writing should make clear to the reader what the significance of the research that you performed was, the contribution you made and the benefits of it.

How do you write the Significance of the Study?

When writing this section, first think about where the gaps in knowledge are in your research field. What are the areas that are poorly understood with little or no previously published literature? Or what topics have others previously published on that still require further work. This is often referred to as the problem statement.

The introduction section within the significance of the study should include you writing the problem statement and explaining to the reader where the gap in literature is.

Then think about the significance of your research and thesis study from two perspectives: (1) what is the general contribution of your research on your field and (2) what specific contribution have you made to the knowledge and who does this benefit the most.

For example, the gap in knowledge may be that the benefits of dumbbell exercises for patients recovering from a broken arm are not fully understood. You may have performed a study investigating the impact of dumbbell training in patients with fractures versus those that did not perform dumbbell exercises and shown there to be a benefit in their use. The broad significance of the study would be the improvement in the understanding of effective physiotherapy methods. Your specific contribution has been to show a significant improvement in the rate of recovery in patients with broken arms when performing certain dumbbell exercise routines.

This statement should be no more than 500 words in length when written for a thesis. Within a research paper, the statement should be shorter and around 200 words at most.

Significance of the Study: An example

Building on the above hypothetical academic study, the following is an example of a full statement of the significance of the study for you to consider when writing your own. Keep in mind though that there’s no single way of writing the perfect significance statement and it may well depend on the subject area and the study content.

Here’s another example to help demonstrate how a significance of the study can also be applied to non-technical fields:

The significance of this research lies in its potential to inform clinical practices and patient counseling. By understanding the psychological outcomes associated with non-surgical facial aesthetics, practitioners can better guide their patients in making informed decisions about their treatment plans. Additionally, this study contributes to the body of academic knowledge by providing empirical evidence on the effects of these cosmetic procedures, which have been largely anecdotal up to this point.

The statement of the significance of the study is used by students and researchers in academic writing to convey the importance of the research performed; this section is written at the end of the introduction and should describe the specific contribution made and who it benefits.

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• Writing Tips

How to Discuss the Significance of Your Research

• 6-minute read
• 10th April 2023

Introduction

Research papers can be a real headache for college students . As a student, your research needs to be credible enough to support your thesis statement. You must also ensure you’ve discussed the literature review, findings, and results.

However, it’s also important to discuss the significance of your research . Your potential audience will care deeply about this. It will also help you conduct your research. By knowing the impact of your research, you’ll understand what important questions to answer.

If you’d like to know more about the impact of your research, read on! We’ll talk about why it’s important and how to discuss it in your paper.

What Is the Significance of Research?

This is the potential impact of your research on the field of study. It includes contributions from new knowledge from the research and those who would benefit from it. You should present this before conducting research, so you need to be aware of current issues associated with the thesis before discussing the significance of the research.

Why Does the Significance of Research Matter?

Potential readers need to know why your research is worth pursuing. Discussing the significance of research answers the following questions:

●  Why should people read your research paper ?

●  How will your research contribute to the current knowledge related to your topic?

●  What potential impact will it have on the community and professionals in the field?

Not including the significance of research in your paper would be like a knight trying to fight a dragon without weapons.

Where Do I Discuss the Significance of Research in My Paper?

As previously mentioned, the significance of research comes before you conduct it. Therefore, you should discuss the significance of your research in the Introduction section. Your reader should know the problem statement and hypothesis beforehand.

Steps to Discussing the Significance of Your Research

Discussing the significance of research might seem like a loaded question, so we’ve outlined some steps to help you tackle it.

Step 1: The Research Problem

The problem statement can reveal clues about the outcome of your research. Your research should provide answers to the problem, which is beneficial to all those concerned. For example, imagine the problem statement is, “To what extent do elementary and high school teachers believe cyberbullying affects student performance?”

Learning teachers’ opinions on the effects of cyberbullying on student performance could result in the following:

●  Increased public awareness of cyberbullying in elementary and high schools

●  Teachers’ perceptions of cyberbullying negatively affecting student performance

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●  Whether cyberbullying is more prevalent in elementary or high schools

The research problem will steer your research in the right direction, so it’s best to start with the problem statement.

Step 2: Existing Literature in the Field

Think about current information on your topic, and then find out what information is missing. Are there any areas that haven’t been explored? Your research should add new information to the literature, so be sure to state this in your discussion. You’ll need to know the current literature on your topic anyway, as this is part of your literature review section .

Step 3: Your Research’s Impact on Society

Inform your readers about the impact on society your research could have on it. For example, in the study about teachers’ opinions on cyberbullying, you could mention that your research will educate the community about teachers’ perceptions of cyberbullying as it affects student performance. As a result, the community will know how many teachers believe cyberbullying affects student performance.

You can also mention specific individuals and institutions that would benefit from your study. In the example of cyberbullying, you might indicate that school principals and superintendents would benefit from your research.

Step 4: Future Studies in the Field

Next, discuss how the significance of your research will benefit future studies, which is especially helpful for future researchers in your field. In the example of cyberbullying affecting student performance, your research could provide further opportunities to assess teacher perceptions of cyberbullying and its effects on students from larger populations. This prepares future researchers for data collection and analysis.

Discussing the significance of your research may sound daunting when you haven’t conducted it yet. However, an audience might not read your paper if they don’t know the significance of the research. By focusing on the problem statement and the research benefits to society and future studies, you can convince your audience of the value of your research.

Remember that everything you write doesn’t have to be set in stone. You can go back and tweak the significance of your research after conducting it. At first, you might only include general contributions of your study, but as you research, your contributions will become more specific.

You should have a solid understanding of your topic in general, its associated problems, and the literature review before tackling the significance of your research. However, you’re not trying to prove your thesis statement at this point. The significance of research just convinces the audience that your study is worth reading.

Finally, we always recommend seeking help from your research advisor whenever you’re struggling with ideas. For a more visual idea of how to discuss the significance of your research, we suggest checking out this video .

1. Do I need to do my research before discussing its significance?

No, you’re discussing the significance of your research before you conduct it. However, you should be knowledgeable about your topic and the related literature.

2. Is the significance of research the same as its implications?

No, the research implications are potential questions from your study that justify further exploration, which comes after conducting the research.

 3. Discussing the significance of research seems overwhelming. Where should I start?

We recommend the problem statement as a starting point, which reveals clues to the potential outcome of your research.

4. How can I get feedback on my discussion of the significance of my research?

Our proofreading experts can help. They’ll check your writing for grammar, punctuation errors, spelling, and concision. Submit a 500-word document for free today!

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A Practical Guide to Writing Quantitative and Qualitative Research Questions and Hypotheses in Scholarly Articles

Edward barroga.

1 Department of General Education, Graduate School of Nursing Science, St. Luke’s International University, Tokyo, Japan.

Glafera Janet Matanguihan

2 Department of Biological Sciences, Messiah University, Mechanicsburg, PA, USA.

The development of research questions and the subsequent hypotheses are prerequisites to defining the main research purpose and specific objectives of a study. Consequently, these objectives determine the study design and research outcome. The development of research questions is a process based on knowledge of current trends, cutting-edge studies, and technological advances in the research field. Excellent research questions are focused and require a comprehensive literature search and in-depth understanding of the problem being investigated. Initially, research questions may be written as descriptive questions which could be developed into inferential questions. These questions must be specific and concise to provide a clear foundation for developing hypotheses. Hypotheses are more formal predictions about the research outcomes. These specify the possible results that may or may not be expected regarding the relationship between groups. Thus, research questions and hypotheses clarify the main purpose and specific objectives of the study, which in turn dictate the design of the study, its direction, and outcome. Studies developed from good research questions and hypotheses will have trustworthy outcomes with wide-ranging social and health implications.

INTRODUCTION

Scientific research is usually initiated by posing evidenced-based research questions which are then explicitly restated as hypotheses. 1 , 2 The hypotheses provide directions to guide the study, solutions, explanations, and expected results. 3 , 4 Both research questions and hypotheses are essentially formulated based on conventional theories and real-world processes, which allow the inception of novel studies and the ethical testing of ideas. 5 , 6

It is crucial to have knowledge of both quantitative and qualitative research 2 as both types of research involve writing research questions and hypotheses. 7 However, these crucial elements of research are sometimes overlooked; if not overlooked, then framed without the forethought and meticulous attention it needs. Planning and careful consideration are needed when developing quantitative or qualitative research, particularly when conceptualizing research questions and hypotheses. 4

There is a continuing need to support researchers in the creation of innovative research questions and hypotheses, as well as for journal articles that carefully review these elements. 1 When research questions and hypotheses are not carefully thought of, unethical studies and poor outcomes usually ensue. Carefully formulated research questions and hypotheses define well-founded objectives, which in turn determine the appropriate design, course, and outcome of the study. This article then aims to discuss in detail the various aspects of crafting research questions and hypotheses, with the goal of guiding researchers as they develop their own. Examples from the authors and peer-reviewed scientific articles in the healthcare field are provided to illustrate key points.

DEFINITIONS AND RELATIONSHIP OF RESEARCH QUESTIONS AND HYPOTHESES

A research question is what a study aims to answer after data analysis and interpretation. The answer is written in length in the discussion section of the paper. Thus, the research question gives a preview of the different parts and variables of the study meant to address the problem posed in the research question. 1 An excellent research question clarifies the research writing while facilitating understanding of the research topic, objective, scope, and limitations of the study. 5

On the other hand, a research hypothesis is an educated statement of an expected outcome. This statement is based on background research and current knowledge. 8 , 9 The research hypothesis makes a specific prediction about a new phenomenon 10 or a formal statement on the expected relationship between an independent variable and a dependent variable. 3 , 11 It provides a tentative answer to the research question to be tested or explored. 4

Hypotheses employ reasoning to predict a theory-based outcome. 10 These can also be developed from theories by focusing on components of theories that have not yet been observed. 10 The validity of hypotheses is often based on the testability of the prediction made in a reproducible experiment. 8

Conversely, hypotheses can also be rephrased as research questions. Several hypotheses based on existing theories and knowledge may be needed to answer a research question. Developing ethical research questions and hypotheses creates a research design that has logical relationships among variables. These relationships serve as a solid foundation for the conduct of the study. 4 , 11 Haphazardly constructed research questions can result in poorly formulated hypotheses and improper study designs, leading to unreliable results. Thus, the formulations of relevant research questions and verifiable hypotheses are crucial when beginning research. 12

CHARACTERISTICS OF GOOD RESEARCH QUESTIONS AND HYPOTHESES

Excellent research questions are specific and focused. These integrate collective data and observations to confirm or refute the subsequent hypotheses. Well-constructed hypotheses are based on previous reports and verify the research context. These are realistic, in-depth, sufficiently complex, and reproducible. More importantly, these hypotheses can be addressed and tested. 13

There are several characteristics of well-developed hypotheses. Good hypotheses are 1) empirically testable 7 , 10 , 11 , 13 ; 2) backed by preliminary evidence 9 ; 3) testable by ethical research 7 , 9 ; 4) based on original ideas 9 ; 5) have evidenced-based logical reasoning 10 ; and 6) can be predicted. 11 Good hypotheses can infer ethical and positive implications, indicating the presence of a relationship or effect relevant to the research theme. 7 , 11 These are initially developed from a general theory and branch into specific hypotheses by deductive reasoning. In the absence of a theory to base the hypotheses, inductive reasoning based on specific observations or findings form more general hypotheses. 10

TYPES OF RESEARCH QUESTIONS AND HYPOTHESES

Research questions and hypotheses are developed according to the type of research, which can be broadly classified into quantitative and qualitative research. We provide a summary of the types of research questions and hypotheses under quantitative and qualitative research categories in Table 1 .

Research questions in quantitative research

In quantitative research, research questions inquire about the relationships among variables being investigated and are usually framed at the start of the study. These are precise and typically linked to the subject population, dependent and independent variables, and research design. 1 Research questions may also attempt to describe the behavior of a population in relation to one or more variables, or describe the characteristics of variables to be measured ( descriptive research questions ). 1 , 5 , 14 These questions may also aim to discover differences between groups within the context of an outcome variable ( comparative research questions ), 1 , 5 , 14 or elucidate trends and interactions among variables ( relationship research questions ). 1 , 5 We provide examples of descriptive, comparative, and relationship research questions in quantitative research in Table 2 .

Hypotheses in quantitative research

In quantitative research, hypotheses predict the expected relationships among variables. 15 Relationships among variables that can be predicted include 1) between a single dependent variable and a single independent variable ( simple hypothesis ) or 2) between two or more independent and dependent variables ( complex hypothesis ). 4 , 11 Hypotheses may also specify the expected direction to be followed and imply an intellectual commitment to a particular outcome ( directional hypothesis ) 4 . On the other hand, hypotheses may not predict the exact direction and are used in the absence of a theory, or when findings contradict previous studies ( non-directional hypothesis ). 4 In addition, hypotheses can 1) define interdependency between variables ( associative hypothesis ), 4 2) propose an effect on the dependent variable from manipulation of the independent variable ( causal hypothesis ), 4 3) state a negative relationship between two variables ( null hypothesis ), 4 , 11 , 15 4) replace the working hypothesis if rejected ( alternative hypothesis ), 15 explain the relationship of phenomena to possibly generate a theory ( working hypothesis ), 11 5) involve quantifiable variables that can be tested statistically ( statistical hypothesis ), 11 6) or express a relationship whose interlinks can be verified logically ( logical hypothesis ). 11 We provide examples of simple, complex, directional, non-directional, associative, causal, null, alternative, working, statistical, and logical hypotheses in quantitative research, as well as the definition of quantitative hypothesis-testing research in Table 3 .

Research questions in qualitative research

Unlike research questions in quantitative research, research questions in qualitative research are usually continuously reviewed and reformulated. The central question and associated subquestions are stated more than the hypotheses. 15 The central question broadly explores a complex set of factors surrounding the central phenomenon, aiming to present the varied perspectives of participants. 15

There are varied goals for which qualitative research questions are developed. These questions can function in several ways, such as to 1) identify and describe existing conditions ( contextual research question s); 2) describe a phenomenon ( descriptive research questions ); 3) assess the effectiveness of existing methods, protocols, theories, or procedures ( evaluation research questions ); 4) examine a phenomenon or analyze the reasons or relationships between subjects or phenomena ( explanatory research questions ); or 5) focus on unknown aspects of a particular topic ( exploratory research questions ). 5 In addition, some qualitative research questions provide new ideas for the development of theories and actions ( generative research questions ) or advance specific ideologies of a position ( ideological research questions ). 1 Other qualitative research questions may build on a body of existing literature and become working guidelines ( ethnographic research questions ). Research questions may also be broadly stated without specific reference to the existing literature or a typology of questions ( phenomenological research questions ), may be directed towards generating a theory of some process ( grounded theory questions ), or may address a description of the case and the emerging themes ( qualitative case study questions ). 15 We provide examples of contextual, descriptive, evaluation, explanatory, exploratory, generative, ideological, ethnographic, phenomenological, grounded theory, and qualitative case study research questions in qualitative research in Table 4 , and the definition of qualitative hypothesis-generating research in Table 5 .

Qualitative studies usually pose at least one central research question and several subquestions starting with How or What . These research questions use exploratory verbs such as explore or describe . These also focus on one central phenomenon of interest, and may mention the participants and research site. 15

Hypotheses in qualitative research

Hypotheses in qualitative research are stated in the form of a clear statement concerning the problem to be investigated. Unlike in quantitative research where hypotheses are usually developed to be tested, qualitative research can lead to both hypothesis-testing and hypothesis-generating outcomes. 2 When studies require both quantitative and qualitative research questions, this suggests an integrative process between both research methods wherein a single mixed-methods research question can be developed. 1

FRAMEWORKS FOR DEVELOPING RESEARCH QUESTIONS AND HYPOTHESES

Research questions followed by hypotheses should be developed before the start of the study. 1 , 12 , 14 It is crucial to develop feasible research questions on a topic that is interesting to both the researcher and the scientific community. This can be achieved by a meticulous review of previous and current studies to establish a novel topic. Specific areas are subsequently focused on to generate ethical research questions. The relevance of the research questions is evaluated in terms of clarity of the resulting data, specificity of the methodology, objectivity of the outcome, depth of the research, and impact of the study. 1 , 5 These aspects constitute the FINER criteria (i.e., Feasible, Interesting, Novel, Ethical, and Relevant). 1 Clarity and effectiveness are achieved if research questions meet the FINER criteria. In addition to the FINER criteria, Ratan et al. described focus, complexity, novelty, feasibility, and measurability for evaluating the effectiveness of research questions. 14

The PICOT and PEO frameworks are also used when developing research questions. 1 The following elements are addressed in these frameworks, PICOT: P-population/patients/problem, I-intervention or indicator being studied, C-comparison group, O-outcome of interest, and T-timeframe of the study; PEO: P-population being studied, E-exposure to preexisting conditions, and O-outcome of interest. 1 Research questions are also considered good if these meet the “FINERMAPS” framework: Feasible, Interesting, Novel, Ethical, Relevant, Manageable, Appropriate, Potential value/publishable, and Systematic. 14

As we indicated earlier, research questions and hypotheses that are not carefully formulated result in unethical studies or poor outcomes. To illustrate this, we provide some examples of ambiguous research question and hypotheses that result in unclear and weak research objectives in quantitative research ( Table 6 ) 16 and qualitative research ( Table 7 ) 17 , and how to transform these ambiguous research question(s) and hypothesis(es) into clear and good statements.

a These statements were composed for comparison and illustrative purposes only.

b These statements are direct quotes from Higashihara and Horiuchi. 16

a This statement is a direct quote from Shimoda et al. 17

The other statements were composed for comparison and illustrative purposes only.

CONSTRUCTING RESEARCH QUESTIONS AND HYPOTHESES

To construct effective research questions and hypotheses, it is very important to 1) clarify the background and 2) identify the research problem at the outset of the research, within a specific timeframe. 9 Then, 3) review or conduct preliminary research to collect all available knowledge about the possible research questions by studying theories and previous studies. 18 Afterwards, 4) construct research questions to investigate the research problem. Identify variables to be accessed from the research questions 4 and make operational definitions of constructs from the research problem and questions. Thereafter, 5) construct specific deductive or inductive predictions in the form of hypotheses. 4 Finally, 6) state the study aims . This general flow for constructing effective research questions and hypotheses prior to conducting research is shown in Fig. 1 .

Research questions are used more frequently in qualitative research than objectives or hypotheses. 3 These questions seek to discover, understand, explore or describe experiences by asking “What” or “How.” The questions are open-ended to elicit a description rather than to relate variables or compare groups. The questions are continually reviewed, reformulated, and changed during the qualitative study. 3 Research questions are also used more frequently in survey projects than hypotheses in experiments in quantitative research to compare variables and their relationships.

Hypotheses are constructed based on the variables identified and as an if-then statement, following the template, ‘If a specific action is taken, then a certain outcome is expected.’ At this stage, some ideas regarding expectations from the research to be conducted must be drawn. 18 Then, the variables to be manipulated (independent) and influenced (dependent) are defined. 4 Thereafter, the hypothesis is stated and refined, and reproducible data tailored to the hypothesis are identified, collected, and analyzed. 4 The hypotheses must be testable and specific, 18 and should describe the variables and their relationships, the specific group being studied, and the predicted research outcome. 18 Hypotheses construction involves a testable proposition to be deduced from theory, and independent and dependent variables to be separated and measured separately. 3 Therefore, good hypotheses must be based on good research questions constructed at the start of a study or trial. 12

In summary, research questions are constructed after establishing the background of the study. Hypotheses are then developed based on the research questions. Thus, it is crucial to have excellent research questions to generate superior hypotheses. In turn, these would determine the research objectives and the design of the study, and ultimately, the outcome of the research. 12 Algorithms for building research questions and hypotheses are shown in Fig. 2 for quantitative research and in Fig. 3 for qualitative research.

EXAMPLES OF RESEARCH QUESTIONS FROM PUBLISHED ARTICLES

• EXAMPLE 1. Descriptive research question (quantitative research)
• - Presents research variables to be assessed (distinct phenotypes and subphenotypes)
• “BACKGROUND: Since COVID-19 was identified, its clinical and biological heterogeneity has been recognized. Identifying COVID-19 phenotypes might help guide basic, clinical, and translational research efforts.
• RESEARCH QUESTION: Does the clinical spectrum of patients with COVID-19 contain distinct phenotypes and subphenotypes? ” 19
• EXAMPLE 2. Relationship research question (quantitative research)
• - Shows interactions between dependent variable (static postural control) and independent variable (peripheral visual field loss)
• “Background: Integration of visual, vestibular, and proprioceptive sensations contributes to postural control. People with peripheral visual field loss have serious postural instability. However, the directional specificity of postural stability and sensory reweighting caused by gradual peripheral visual field loss remain unclear.
• Research question: What are the effects of peripheral visual field loss on static postural control ?” 20
• EXAMPLE 3. Comparative research question (quantitative research)
• - Clarifies the difference among groups with an outcome variable (patients enrolled in COMPERA with moderate PH or severe PH in COPD) and another group without the outcome variable (patients with idiopathic pulmonary arterial hypertension (IPAH))
• “BACKGROUND: Pulmonary hypertension (PH) in COPD is a poorly investigated clinical condition.
• RESEARCH QUESTION: Which factors determine the outcome of PH in COPD?
• STUDY DESIGN AND METHODS: We analyzed the characteristics and outcome of patients enrolled in the Comparative, Prospective Registry of Newly Initiated Therapies for Pulmonary Hypertension (COMPERA) with moderate or severe PH in COPD as defined during the 6th PH World Symposium who received medical therapy for PH and compared them with patients with idiopathic pulmonary arterial hypertension (IPAH) .” 21
• EXAMPLE 4. Exploratory research question (qualitative research)
• - Explores areas that have not been fully investigated (perspectives of families and children who receive care in clinic-based child obesity treatment) to have a deeper understanding of the research problem
• “Problem: Interventions for children with obesity lead to only modest improvements in BMI and long-term outcomes, and data are limited on the perspectives of families of children with obesity in clinic-based treatment. This scoping review seeks to answer the question: What is known about the perspectives of families and children who receive care in clinic-based child obesity treatment? This review aims to explore the scope of perspectives reported by families of children with obesity who have received individualized outpatient clinic-based obesity treatment.” 22
• EXAMPLE 5. Relationship research question (quantitative research)
• - Defines interactions between dependent variable (use of ankle strategies) and independent variable (changes in muscle tone)
• “Background: To maintain an upright standing posture against external disturbances, the human body mainly employs two types of postural control strategies: “ankle strategy” and “hip strategy.” While it has been reported that the magnitude of the disturbance alters the use of postural control strategies, it has not been elucidated how the level of muscle tone, one of the crucial parameters of bodily function, determines the use of each strategy. We have previously confirmed using forward dynamics simulations of human musculoskeletal models that an increased muscle tone promotes the use of ankle strategies. The objective of the present study was to experimentally evaluate a hypothesis: an increased muscle tone promotes the use of ankle strategies. Research question: Do changes in the muscle tone affect the use of ankle strategies ?” 23

EXAMPLES OF HYPOTHESES IN PUBLISHED ARTICLES

• EXAMPLE 1. Working hypothesis (quantitative research)
• - A hypothesis that is initially accepted for further research to produce a feasible theory
• “As fever may have benefit in shortening the duration of viral illness, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response when taken during the early stages of COVID-19 illness .” 24
• “In conclusion, it is plausible to hypothesize that the antipyretic efficacy of ibuprofen may be hindering the benefits of a fever response . The difference in perceived safety of these agents in COVID-19 illness could be related to the more potent efficacy to reduce fever with ibuprofen compared to acetaminophen. Compelling data on the benefit of fever warrant further research and review to determine when to treat or withhold ibuprofen for early stage fever for COVID-19 and other related viral illnesses .” 24
• EXAMPLE 2. Exploratory hypothesis (qualitative research)
• - Explores particular areas deeper to clarify subjective experience and develop a formal hypothesis potentially testable in a future quantitative approach
• “We hypothesized that when thinking about a past experience of help-seeking, a self distancing prompt would cause increased help-seeking intentions and more favorable help-seeking outcome expectations .” 25
• “Conclusion
• Although a priori hypotheses were not supported, further research is warranted as results indicate the potential for using self-distancing approaches to increasing help-seeking among some people with depressive symptomatology.” 25
• EXAMPLE 3. Hypothesis-generating research to establish a framework for hypothesis testing (qualitative research)
• “We hypothesize that compassionate care is beneficial for patients (better outcomes), healthcare systems and payers (lower costs), and healthcare providers (lower burnout). ” 26
• Compassionomics is the branch of knowledge and scientific study of the effects of compassionate healthcare. Our main hypotheses are that compassionate healthcare is beneficial for (1) patients, by improving clinical outcomes, (2) healthcare systems and payers, by supporting financial sustainability, and (3) HCPs, by lowering burnout and promoting resilience and well-being. The purpose of this paper is to establish a scientific framework for testing the hypotheses above . If these hypotheses are confirmed through rigorous research, compassionomics will belong in the science of evidence-based medicine, with major implications for all healthcare domains.” 26
• EXAMPLE 4. Statistical hypothesis (quantitative research)
• - An assumption is made about the relationship among several population characteristics ( gender differences in sociodemographic and clinical characteristics of adults with ADHD ). Validity is tested by statistical experiment or analysis ( chi-square test, Students t-test, and logistic regression analysis)
• “Our research investigated gender differences in sociodemographic and clinical characteristics of adults with ADHD in a Japanese clinical sample. Due to unique Japanese cultural ideals and expectations of women's behavior that are in opposition to ADHD symptoms, we hypothesized that women with ADHD experience more difficulties and present more dysfunctions than men . We tested the following hypotheses: first, women with ADHD have more comorbidities than men with ADHD; second, women with ADHD experience more social hardships than men, such as having less full-time employment and being more likely to be divorced.” 27
• “Statistical Analysis
• ( text omitted ) Between-gender comparisons were made using the chi-squared test for categorical variables and Students t-test for continuous variables…( text omitted ). A logistic regression analysis was performed for employment status, marital status, and comorbidity to evaluate the independent effects of gender on these dependent variables.” 27

EXAMPLES OF HYPOTHESIS AS WRITTEN IN PUBLISHED ARTICLES IN RELATION TO OTHER PARTS

• EXAMPLE 1. Background, hypotheses, and aims are provided
• “Pregnant women need skilled care during pregnancy and childbirth, but that skilled care is often delayed in some countries …( text omitted ). The focused antenatal care (FANC) model of WHO recommends that nurses provide information or counseling to all pregnant women …( text omitted ). Job aids are visual support materials that provide the right kind of information using graphics and words in a simple and yet effective manner. When nurses are not highly trained or have many work details to attend to, these job aids can serve as a content reminder for the nurses and can be used for educating their patients (Jennings, Yebadokpo, Affo, & Agbogbe, 2010) ( text omitted ). Importantly, additional evidence is needed to confirm how job aids can further improve the quality of ANC counseling by health workers in maternal care …( text omitted )” 28
• “ This has led us to hypothesize that the quality of ANC counseling would be better if supported by job aids. Consequently, a better quality of ANC counseling is expected to produce higher levels of awareness concerning the danger signs of pregnancy and a more favorable impression of the caring behavior of nurses .” 28
• “This study aimed to examine the differences in the responses of pregnant women to a job aid-supported intervention during ANC visit in terms of 1) their understanding of the danger signs of pregnancy and 2) their impression of the caring behaviors of nurses to pregnant women in rural Tanzania.” 28
• EXAMPLE 2. Background, hypotheses, and aims are provided
• “We conducted a two-arm randomized controlled trial (RCT) to evaluate and compare changes in salivary cortisol and oxytocin levels of first-time pregnant women between experimental and control groups. The women in the experimental group touched and held an infant for 30 min (experimental intervention protocol), whereas those in the control group watched a DVD movie of an infant (control intervention protocol). The primary outcome was salivary cortisol level and the secondary outcome was salivary oxytocin level.” 29
• “ We hypothesize that at 30 min after touching and holding an infant, the salivary cortisol level will significantly decrease and the salivary oxytocin level will increase in the experimental group compared with the control group .” 29
• EXAMPLE 3. Background, aim, and hypothesis are provided
• “In countries where the maternal mortality ratio remains high, antenatal education to increase Birth Preparedness and Complication Readiness (BPCR) is considered one of the top priorities [1]. BPCR includes birth plans during the antenatal period, such as the birthplace, birth attendant, transportation, health facility for complications, expenses, and birth materials, as well as family coordination to achieve such birth plans. In Tanzania, although increasing, only about half of all pregnant women attend an antenatal clinic more than four times [4]. Moreover, the information provided during antenatal care (ANC) is insufficient. In the resource-poor settings, antenatal group education is a potential approach because of the limited time for individual counseling at antenatal clinics.” 30
• “This study aimed to evaluate an antenatal group education program among pregnant women and their families with respect to birth-preparedness and maternal and infant outcomes in rural villages of Tanzania.” 30
• “ The study hypothesis was if Tanzanian pregnant women and their families received a family-oriented antenatal group education, they would (1) have a higher level of BPCR, (2) attend antenatal clinic four or more times, (3) give birth in a health facility, (4) have less complications of women at birth, and (5) have less complications and deaths of infants than those who did not receive the education .” 30

Research questions and hypotheses are crucial components to any type of research, whether quantitative or qualitative. These questions should be developed at the very beginning of the study. Excellent research questions lead to superior hypotheses, which, like a compass, set the direction of research, and can often determine the successful conduct of the study. Many research studies have floundered because the development of research questions and subsequent hypotheses was not given the thought and meticulous attention needed. The development of research questions and hypotheses is an iterative process based on extensive knowledge of the literature and insightful grasp of the knowledge gap. Focused, concise, and specific research questions provide a strong foundation for constructing hypotheses which serve as formal predictions about the research outcomes. Research questions and hypotheses are crucial elements of research that should not be overlooked. They should be carefully thought of and constructed when planning research. This avoids unethical studies and poor outcomes by defining well-founded objectives that determine the design, course, and outcome of the study.

Disclosure: The authors have no potential conflicts of interest to disclose.

Author Contributions:

• Conceptualization: Barroga E, Matanguihan GJ.
• Methodology: Barroga E, Matanguihan GJ.
• Writing - original draft: Barroga E, Matanguihan GJ.
• Writing - review & editing: Barroga E, Matanguihan GJ.

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11.1 The Purpose of Research Writing

Learning objectives.

• Identify reasons to research writing projects.
• Outline the steps of the research writing process.

Why was the Great Wall of China built? What have scientists learned about the possibility of life on Mars? What roles did women play in the American Revolution? How does the human brain create, store, and retrieve memories? Who invented the game of football, and how has it changed over the years?

You may know the answers to these questions off the top of your head. If you are like most people, however, you find answers to tough questions like these by searching the Internet, visiting the library, or asking others for information. To put it simply, you perform research.

Whether you are a scientist, an artist, a paralegal, or a parent, you probably perform research in your everyday life. When your boss, your instructor, or a family member asks you a question that you do not know the answer to, you locate relevant information, analyze your findings, and share your results. Locating, analyzing, and sharing information are key steps in the research process, and in this chapter, you will learn more about each step. By developing your research writing skills, you will prepare yourself to answer any question no matter how challenging.

Reasons for Research

When you perform research, you are essentially trying to solve a mystery—you want to know how something works or why something happened. In other words, you want to answer a question that you (and other people) have about the world. This is one of the most basic reasons for performing research.

But the research process does not end when you have solved your mystery. Imagine what would happen if a detective collected enough evidence to solve a criminal case, but she never shared her solution with the authorities. Presenting what you have learned from research can be just as important as performing the research. Research results can be presented in a variety of ways, but one of the most popular—and effective—presentation forms is the research paper . A research paper presents an original thesis, or purpose statement, about a topic and develops that thesis with information gathered from a variety of sources.

If you are curious about the possibility of life on Mars, for example, you might choose to research the topic. What will you do, though, when your research is complete? You will need a way to put your thoughts together in a logical, coherent manner. You may want to use the facts you have learned to create a narrative or to support an argument. And you may want to show the results of your research to your friends, your teachers, or even the editors of magazines and journals. Writing a research paper is an ideal way to organize thoughts, craft narratives or make arguments based on research, and share your newfound knowledge with the world.

Write a paragraph about a time when you used research in your everyday life. Did you look for the cheapest way to travel from Houston to Denver? Did you search for a way to remove gum from the bottom of your shoe? In your paragraph, explain what you wanted to research, how you performed the research, and what you learned as a result.

Research Writing and the Academic Paper

No matter what field of study you are interested in, you will most likely be asked to write a research paper during your academic career. For example, a student in an art history course might write a research paper about an artist’s work. Similarly, a student in a psychology course might write a research paper about current findings in childhood development.

Having to write a research paper may feel intimidating at first. After all, researching and writing a long paper requires a lot of time, effort, and organization. However, writing a research paper can also be a great opportunity to explore a topic that is particularly interesting to you. The research process allows you to gain expertise on a topic of your choice, and the writing process helps you remember what you have learned and understand it on a deeper level.

Research Writing at Work

Knowing how to write a good research paper is a valuable skill that will serve you well throughout your career. Whether you are developing a new product, studying the best way to perform a procedure, or learning about challenges and opportunities in your field of employment, you will use research techniques to guide your exploration. You may even need to create a written report of your findings. And because effective communication is essential to any company, employers seek to hire people who can write clearly and professionally.

Writing at Work

Take a few minutes to think about each of the following careers. How might each of these professionals use researching and research writing skills on the job?

• Medical laboratory technician
• Small business owner
• Information technology professional
• Freelance magazine writer

A medical laboratory technician or information technology professional might do research to learn about the latest technological developments in either of these fields. A small business owner might conduct research to learn about the latest trends in his or her industry. A freelance magazine writer may need to research a given topic to write an informed, up-to-date article.

Think about the job of your dreams. How might you use research writing skills to perform that job? Create a list of ways in which strong researching, organizing, writing, and critical thinking skills could help you succeed at your dream job. How might these skills help you obtain that job?

Steps of the Research Writing Process

How does a research paper grow from a folder of brainstormed notes to a polished final draft? No two projects are identical, but most projects follow a series of six basic steps.

These are the steps in the research writing process:

• Choose a topic.
• Plan and schedule time to research and write.
• Conduct research.
• Organize research and ideas.
• Draft your paper.
• Revise and edit your paper.

Each of these steps will be discussed in more detail later in this chapter. For now, though, we will take a brief look at what each step involves.

Step 1: Choosing a Topic

As you may recall from Chapter 8 “The Writing Process: How Do I Begin?” , to narrow the focus of your topic, you may try freewriting exercises, such as brainstorming. You may also need to ask a specific research question —a broad, open-ended question that will guide your research—as well as propose a possible answer, or a working thesis . You may use your research question and your working thesis to create a research proposal . In a research proposal, you present your main research question, any related subquestions you plan to explore, and your working thesis.

Step 2: Planning and Scheduling

Before you start researching your topic, take time to plan your researching and writing schedule. Research projects can take days, weeks, or even months to complete. Creating a schedule is a good way to ensure that you do not end up being overwhelmed by all the work you have to do as the deadline approaches.

During this step of the process, it is also a good idea to plan the resources and organizational tools you will use to keep yourself on track throughout the project. Flowcharts, calendars, and checklists can all help you stick to your schedule. See Chapter 11 “Writing from Research: What Will I Learn?” , Section 11.2 “Steps in Developing a Research Proposal” for an example of a research schedule.

Step 3: Conducting Research

When going about your research, you will likely use a variety of sources—anything from books and periodicals to video presentations and in-person interviews.

Your sources will include both primary sources and secondary sources . Primary sources provide firsthand information or raw data. For example, surveys, in-person interviews, and historical documents are primary sources. Secondary sources, such as biographies, literary reviews, or magazine articles, include some analysis or interpretation of the information presented. As you conduct research, you will take detailed, careful notes about your discoveries. You will also evaluate the reliability of each source you find.

Step 4: Organizing Research and the Writer’s Ideas

When your research is complete, you will organize your findings and decide which sources to cite in your paper. You will also have an opportunity to evaluate the evidence you have collected and determine whether it supports your thesis, or the focus of your paper. You may decide to adjust your thesis or conduct additional research to ensure that your thesis is well supported.

Remember, your working thesis is not set in stone. You can and should change your working thesis throughout the research writing process if the evidence you find does not support your original thesis. Never try to force evidence to fit your argument. For example, your working thesis is “Mars cannot support life-forms.” Yet, a week into researching your topic, you find an article in the New York Times detailing new findings of bacteria under the Martian surface. Instead of trying to argue that bacteria are not life forms, you might instead alter your thesis to “Mars cannot support complex life-forms.”

Step 5: Drafting Your Paper

Now you are ready to combine your research findings with your critical analysis of the results in a rough draft. You will incorporate source materials into your paper and discuss each source thoughtfully in relation to your thesis or purpose statement.

When you cite your reference sources, it is important to pay close attention to standard conventions for citing sources in order to avoid plagiarism , or the practice of using someone else’s words without acknowledging the source. Later in this chapter, you will learn how to incorporate sources in your paper and avoid some of the most common pitfalls of attributing information.

Step 6: Revising and Editing Your Paper

In the final step of the research writing process, you will revise and polish your paper. You might reorganize your paper’s structure or revise for unity and cohesion, ensuring that each element in your paper flows into the next logically and naturally. You will also make sure that your paper uses an appropriate and consistent tone.

Once you feel confident in the strength of your writing, you will edit your paper for proper spelling, grammar, punctuation, mechanics, and formatting. When you complete this final step, you will have transformed a simple idea or question into a thoroughly researched and well-written paper you can be proud of!

Review the steps of the research writing process. Then answer the questions on your own sheet of paper.

• In which steps of the research writing process are you allowed to change your thesis?
• In step 2, which types of information should you include in your project schedule?
• What might happen if you eliminated step 4 from the research writing process?

Key Takeaways

• People undertake research projects throughout their academic and professional careers in order to answer specific questions, share their findings with others, increase their understanding of challenging topics, and strengthen their researching, writing, and analytical skills.
• The research writing process generally comprises six steps: choosing a topic, scheduling and planning time for research and writing, conducting research, organizing research and ideas, drafting a paper, and revising and editing the paper.

Writing for Success Copyright © 2015 by University of Minnesota is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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How to Write a Research Paper Introduction (with Examples)

The research paper introduction section, along with the Title and Abstract, can be considered the face of any research paper. The following article is intended to guide you in organizing and writing the research paper introduction for a quality academic article or dissertation.

The research paper introduction aims to present the topic to the reader. A study will only be accepted for publishing if you can ascertain that the available literature cannot answer your research question. So it is important to ensure that you have read important studies on that particular topic, especially those within the last five to ten years, and that they are properly referenced in this section. 1 What should be included in the research paper introduction is decided by what you want to tell readers about the reason behind the research and how you plan to fill the knowledge gap. The best research paper introduction provides a systemic review of existing work and demonstrates additional work that needs to be done. It needs to be brief, captivating, and well-referenced; a well-drafted research paper introduction will help the researcher win half the battle.

The introduction for a research paper is where you set up your topic and approach for the reader. It has several key goals:

• Present your research topic
• Capture reader interest
• Summarize existing research
• Position your own approach
• Define your specific research problem and problem statement
• Highlight the novelty and contributions of the study
• Give an overview of the paper’s structure

The research paper introduction can vary in size and structure depending on whether your paper presents the results of original empirical research or is a review paper. Some research paper introduction examples are only half a page while others are a few pages long. In many cases, the introduction will be shorter than all of the other sections of your paper; its length depends on the size of your paper as a whole.

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Table of Contents

What is the introduction for a research paper, why is the introduction important in a research paper, craft a compelling introduction section with paperpal. try now, 1. introduce the research topic:, 2. determine a research niche:, 3. place your research within the research niche:, craft accurate research paper introductions with paperpal. start writing now, frequently asked questions on research paper introduction, key points to remember.

The introduction in a research paper is placed at the beginning to guide the reader from a broad subject area to the specific topic that your research addresses. They present the following information to the reader

• Scope: The topic covered in the research paper
• Context: Background of your topic
• Importance: Why your research matters in that particular area of research and the industry problem that can be targeted

The research paper introduction conveys a lot of information and can be considered an essential roadmap for the rest of your paper. A good introduction for a research paper is important for the following reasons:

• It stimulates your reader’s interest: A good introduction section can make your readers want to read your paper by capturing their interest. It informs the reader what they are going to learn and helps determine if the topic is of interest to them.
• It helps the reader understand the research background: Without a clear introduction, your readers may feel confused and even struggle when reading your paper. A good research paper introduction will prepare them for the in-depth research to come. It provides you the opportunity to engage with the readers and demonstrate your knowledge and authority on the specific topic.
• It explains why your research paper is worth reading: Your introduction can convey a lot of information to your readers. It introduces the topic, why the topic is important, and how you plan to proceed with your research.
• It helps guide the reader through the rest of the paper: The research paper introduction gives the reader a sense of the nature of the information that will support your arguments and the general organization of the paragraphs that will follow. It offers an overview of what to expect when reading the main body of your paper.

What are the parts of introduction in the research?

A good research paper introduction section should comprise three main elements: 2

• What is known: This sets the stage for your research. It informs the readers of what is known on the subject.
• What is lacking: This is aimed at justifying the reason for carrying out your research. This could involve investigating a new concept or method or building upon previous research.
• What you aim to do: This part briefly states the objectives of your research and its major contributions. Your detailed hypothesis will also form a part of this section.

How to write a research paper introduction?

The first step in writing the research paper introduction is to inform the reader what your topic is and why it’s interesting or important. This is generally accomplished with a strong opening statement. The second step involves establishing the kinds of research that have been done and ending with limitations or gaps in the research that you intend to address. Finally, the research paper introduction clarifies how your own research fits in and what problem it addresses. If your research involved testing hypotheses, these should be stated along with your research question. The hypothesis should be presented in the past tense since it will have been tested by the time you are writing the research paper introduction.

The following key points, with examples, can guide you when writing the research paper introduction section:

• Highlight the importance of the research field or topic
• Describe the background of the topic
• Present an overview of current research on the topic

Example: The inclusion of experiential and competency-based learning has benefitted electronics engineering education. Industry partnerships provide an excellent alternative for students wanting to engage in solving real-world challenges. Industry-academia participation has grown in recent years due to the need for skilled engineers with practical training and specialized expertise. However, from the educational perspective, many activities are needed to incorporate sustainable development goals into the university curricula and consolidate learning innovation in universities.

• Reveal a gap in existing research or oppose an existing assumption
• Formulate the research question

Example: There have been plausible efforts to integrate educational activities in higher education electronics engineering programs. However, very few studies have considered using educational research methods for performance evaluation of competency-based higher engineering education, with a focus on technical and or transversal skills. To remedy the current need for evaluating competencies in STEM fields and providing sustainable development goals in engineering education, in this study, a comparison was drawn between study groups without and with industry partners.

• State the purpose of your study
• Highlight the key characteristics of your study
• Describe important results
• Highlight the novelty of the study.
• Offer a brief overview of the structure of the paper.

Example: The study evaluates the main competency needed in the applied electronics course, which is a fundamental core subject for many electronics engineering undergraduate programs. We compared two groups, without and with an industrial partner, that offered real-world projects to solve during the semester. This comparison can help determine significant differences in both groups in terms of developing subject competency and achieving sustainable development goals.

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The purpose of the research paper introduction is to introduce the reader to the problem definition, justify the need for the study, and describe the main theme of the study. The aim is to gain the reader’s attention by providing them with necessary background information and establishing the main purpose and direction of the research.

The length of the research paper introduction can vary across journals and disciplines. While there are no strict word limits for writing the research paper introduction, an ideal length would be one page, with a maximum of 400 words over 1-4 paragraphs. Generally, it is one of the shorter sections of the paper as the reader is assumed to have at least a reasonable knowledge about the topic. 2 For example, for a study evaluating the role of building design in ensuring fire safety, there is no need to discuss definitions and nature of fire in the introduction; you could start by commenting upon the existing practices for fire safety and how your study will add to the existing knowledge and practice.

When deciding what to include in the research paper introduction, the rest of the paper should also be considered. The aim is to introduce the reader smoothly to the topic and facilitate an easy read without much dependency on external sources. 3 Below is a list of elements you can include to prepare a research paper introduction outline and follow it when you are writing the research paper introduction. Topic introduction: This can include key definitions and a brief history of the topic. Research context and background: Offer the readers some general information and then narrow it down to specific aspects. Details of the research you conducted: A brief literature review can be included to support your arguments or line of thought. Rationale for the study: This establishes the relevance of your study and establishes its importance. Importance of your research: The main contributions are highlighted to help establish the novelty of your study Research hypothesis: Introduce your research question and propose an expected outcome. Organization of the paper: Include a short paragraph of 3-4 sentences that highlights your plan for the entire paper

Cite only works that are most relevant to your topic; as a general rule, you can include one to three. Note that readers want to see evidence of original thinking. So it is better to avoid using too many references as it does not leave much room for your personal standpoint to shine through. Citations in your research paper introduction support the key points, and the number of citations depend on the subject matter and the point discussed. If the research paper introduction is too long or overflowing with citations, it is better to cite a few review articles rather than the individual articles summarized in the review. A good point to remember when citing research papers in the introduction section is to include at least one-third of the references in the introduction.

The literature review plays a significant role in the research paper introduction section. A good literature review accomplishes the following: Introduces the topic – Establishes the study’s significance – Provides an overview of the relevant literature – Provides context for the study using literature – Identifies knowledge gaps However, remember to avoid making the following mistakes when writing a research paper introduction: Do not use studies from the literature review to aggressively support your research Avoid direct quoting Do not allow literature review to be the focus of this section. Instead, the literature review should only aid in setting a foundation for the manuscript.

Remember the following key points for writing a good research paper introduction: 4

• Avoid stuffing too much general information: Avoid including what an average reader would know and include only that information related to the problem being addressed in the research paper introduction. For example, when describing a comparative study of non-traditional methods for mechanical design optimization, information related to the traditional methods and differences between traditional and non-traditional methods would not be relevant. In this case, the introduction for the research paper should begin with the state-of-the-art non-traditional methods and methods to evaluate the efficiency of newly developed algorithms.
• Avoid packing too many references: Cite only the required works in your research paper introduction. The other works can be included in the discussion section to strengthen your findings.
• Avoid extensive criticism of previous studies: Avoid being overly critical of earlier studies while setting the rationale for your study. A better place for this would be the Discussion section, where you can highlight the advantages of your method.
• Avoid describing conclusions of the study: When writing a research paper introduction remember not to include the findings of your study. The aim is to let the readers know what question is being answered. The actual answer should only be given in the Results and Discussion section.

To summarize, the research paper introduction section should be brief yet informative. It should convince the reader the need to conduct the study and motivate him to read further. If you’re feeling stuck or unsure, choose trusted AI academic writing assistants like Paperpal to effortlessly craft your research paper introduction and other sections of your research article.

1. Jawaid, S. A., & Jawaid, M. (2019). How to write introduction and discussion. Saudi Journal of Anaesthesia, 13(Suppl 1), S18.

2. Dewan, P., & Gupta, P. (2016). Writing the title, abstract and introduction: Looks matter!. Indian pediatrics, 53, 235-241.

3. Cetin, S., & Hackam, D. J. (2005). An approach to the writing of a scientific Manuscript1. Journal of Surgical Research, 128(2), 165-167.

4. Bavdekar, S. B. (2015). Writing introduction: Laying the foundations of a research paper. Journal of the Association of Physicians of India, 63(7), 44-6.

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How to Write the Rationale of the Study in Research (Examples)

What is the Rationale of the Study?

The rationale of the study is the justification for taking on a given study. It explains the reason the study was conducted or should be conducted. This means the study rationale should explain to the reader or examiner why the study is/was necessary. It is also sometimes called the “purpose” or “justification” of a study. While this is not difficult to grasp in itself, you might wonder how the rationale of the study is different from your research question or from the statement of the problem of your study, and how it fits into the rest of your thesis or research paper. 

The rationale of the study links the background of the study to your specific research question and justifies the need for the latter on the basis of the former. In brief, you first provide and discuss existing data on the topic, and then you tell the reader, based on the background evidence you just presented, where you identified gaps or issues and why you think it is important to address those. The problem statement, lastly, is the formulation of the specific research question you choose to investigate, following logically from your rationale, and the approach you are planning to use to do that.

Table of Contents:

How to write a rationale for a research paper , how do you justify the need for a research study.

• Study Rationale Example: Where Does It Go In Your Paper?

The basis for writing a research rationale is preliminary data or a clear description of an observation. If you are doing basic/theoretical research, then a literature review will help you identify gaps in current knowledge. In applied/practical research, you base your rationale on an existing issue with a certain process (e.g., vaccine proof registration) or practice (e.g., patient treatment) that is well documented and needs to be addressed. By presenting the reader with earlier evidence or observations, you can (and have to) convince them that you are not just repeating what other people have already done or said and that your ideas are not coming out of thin air. 

Once you have explained where you are coming from, you should justify the need for doing additional research–this is essentially the rationale of your study. Finally, when you have convinced the reader of the purpose of your work, you can end your introduction section with the statement of the problem of your research that contains clear aims and objectives and also briefly describes (and justifies) your methodological approach. 

When is the Rationale for Research Written?

The author can present the study rationale both before and after the research is conducted. 

• Before conducting research : The study rationale is a central component of the research proposal . It represents the plan of your work, constructed before the study is actually executed.
• Once research has been conducted : After the study is completed, the rationale is presented in a research article or  PhD dissertation  to explain why you focused on this specific research question. When writing the study rationale for this purpose, the author should link the rationale of the research to the aims and outcomes of the study.

What to Include in the Study Rationale

Although every study rationale is different and discusses different specific elements of a study’s method or approach, there are some elements that should be included to write a good rationale. Make sure to touch on the following:

• A summary of conclusions from your review of the relevant literature
• What is currently unknown (gaps in knowledge)
• Inconclusive or contested results  from previous studies on the same or similar topic
• The necessity to improve or build on previous research, such as to improve methodology or utilize newer techniques and/or technologies

There are different types of limitations that you can use to justify the need for your study. In applied/practical research, the justification for investigating something is always that an existing process/practice has a problem or is not satisfactory. Let’s say, for example, that people in a certain country/city/community commonly complain about hospital care on weekends (not enough staff, not enough attention, no decisions being made), but you looked into it and realized that nobody ever investigated whether these perceived problems are actually based on objective shortages/non-availabilities of care or whether the lower numbers of patients who are treated during weekends are commensurate with the provided services.

In this case, “lack of data” is your justification for digging deeper into the problem. Or, if it is obvious that there is a shortage of staff and provided services on weekends, you could decide to investigate which of the usual procedures are skipped during weekends as a result and what the negative consequences are. 

In basic/theoretical research, lack of knowledge is of course a common and accepted justification for additional research—but make sure that it is not your only motivation. “Nobody has ever done this” is only a convincing reason for a study if you explain to the reader why you think we should know more about this specific phenomenon. If there is earlier research but you think it has limitations, then those can usually be classified into “methodological”, “contextual”, and “conceptual” limitations. To identify such limitations, you can ask specific questions and let those questions guide you when you explain to the reader why your study was necessary:

Methodological limitations

• Did earlier studies try but failed to measure/identify a specific phenomenon?
• Was earlier research based on incorrect conceptualizations of variables?
• Were earlier studies based on questionable operationalizations of key concepts?
• Did earlier studies use questionable or inappropriate research designs?

Contextual limitations

• Have recent changes in the studied problem made previous studies irrelevant?
• Are you studying a new/particular context that previous findings do not apply to?

Conceptual limitations

• Do previous findings only make sense within a specific framework or ideology?

Study Rationale Examples

Let’s look at an example from one of our earlier articles on the statement of the problem to clarify how your rationale fits into your introduction section. This is a very short introduction for a practical research study on the challenges of online learning. Your introduction might be much longer (especially the context/background section), and this example does not contain any sources (which you will have to provide for all claims you make and all earlier studies you cite)—but please pay attention to how the background presentation , rationale, and problem statement blend into each other in a logical way so that the reader can follow and has no reason to question your motivation or the foundation of your research.

Background presentation

Since the beginning of the Covid pandemic, most educational institutions around the world have transitioned to a fully online study model, at least during peak times of infections and social distancing measures. This transition has not been easy and even two years into the pandemic, problems with online teaching and studying persist (reference needed) . 

While the increasing gap between those with access to technology and equipment and those without access has been determined to be one of the main challenges (reference needed) , others claim that online learning offers more opportunities for many students by breaking down barriers of location and distance (reference needed) .  

Rationale of the study

Since teachers and students cannot wait for circumstances to go back to normal, the measures that schools and universities have implemented during the last two years, their advantages and disadvantages, and the impact of those measures on students’ progress, satisfaction, and well-being need to be understood so that improvements can be made and demographics that have been left behind can receive the support they need as soon as possible.

Statement of the problem

To identify what changes in the learning environment were considered the most challenging and how those changes relate to a variety of student outcome measures, we conducted surveys and interviews among teachers and students at ten institutions of higher education in four different major cities, two in the US (New York and Chicago), one in South Korea (Seoul), and one in the UK (London). Responses were analyzed with a focus on different student demographics and how they might have been affected differently by the current situation.

How long is a study rationale?

In a research article bound for journal publication, your rationale should not be longer than a few sentences (no longer than one brief paragraph). A  dissertation or thesis  usually allows for a longer description; depending on the length and nature of your document, this could be up to a couple of paragraphs in length. A completely novel or unconventional approach might warrant a longer and more detailed justification than an approach that slightly deviates from well-established methods and approaches.

Consider Using Professional Academic Editing Services

Now that you know how to write the rationale of the study for a research proposal or paper, you should make use of our free AI grammar checker , Wordvice AI, or receive professional academic proofreading services from Wordvice, including research paper editing services and manuscript editing services to polish your submitted research documents.

You can also find many more articles, for example on writing the other parts of your research paper , on choosing a title , or on making sure you understand and adhere to the author instructions before you submit to a journal, on the Wordvice academic resources pages.

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The conclusion is intended to help the reader understand why your research should matter to them after they have finished reading the paper. A conclusion is not merely a summary of the main topics covered or a re-statement of your research problem, but a synthesis of key points derived from the findings of your study and, if applicable, where you recommend new areas for future research. For most college-level research papers, two or three well-developed paragraphs is sufficient for a conclusion, although in some cases, more paragraphs may be required in describing the key findings and their significance.

Conclusions. The Writing Center. University of North Carolina; Conclusions. The Writing Lab and The OWL. Purdue University.

Importance of a Good Conclusion

A well-written conclusion provides you with important opportunities to demonstrate to the reader your understanding of the research problem. These include:

• Presenting the last word on the issues you raised in your paper . Just as the introduction gives a first impression to your reader, the conclusion offers a chance to leave a lasting impression. Do this, for example, by highlighting key findings in your analysis that advance new understanding about the research problem, that are unusual or unexpected, or that have important implications applied to practice.
• Summarizing your thoughts and conveying the larger significance of your study . The conclusion is an opportunity to succinctly re-emphasize  your answer to the "So What?" question by placing the study within the context of how your research advances past research about the topic.
• Identifying how a gap in the literature has been addressed . The conclusion can be where you describe how a previously identified gap in the literature [first identified in your literature review section] has been addressed by your research and why this contribution is significant.
• Demonstrating the importance of your ideas . Don't be shy. The conclusion offers an opportunity to elaborate on the impact and significance of your findings. This is particularly important if your study approached examining the research problem from an unusual or innovative perspective.
• Introducing possible new or expanded ways of thinking about the research problem . This does not refer to introducing new information [which should be avoided], but to offer new insight and creative approaches for framing or contextualizing the research problem based on the results of your study.

Bunton, David. “The Structure of PhD Conclusion Chapters.” Journal of English for Academic Purposes 4 (July 2005): 207–224; Conclusions. The Writing Center. University of North Carolina; Kretchmer, Paul. Twelve Steps to Writing an Effective Conclusion. San Francisco Edit, 2003-2008; Conclusions. The Writing Lab and The OWL. Purdue University; Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8.

Structure and Writing Style

I.  General Rules

The general function of your paper's conclusion is to restate the main argument . It reminds the reader of the strengths of your main argument(s) and reiterates the most important evidence supporting those argument(s). Do this by clearly summarizing the context, background, and necessity of pursuing the research problem you investigated in relation to an issue, controversy, or a gap found in the literature. However, make sure that your conclusion is not simply a repetitive summary of the findings. This reduces the impact of the argument(s) you have developed in your paper.

When writing the conclusion to your paper, follow these general rules:

• Present your conclusions in clear, concise language. Re-state the purpose of your study, then describe how your findings differ or support those of other studies and why [i.e., what were the unique, new, or crucial contributions your study made to the overall research about your topic?].
• Do not simply reiterate your findings or the discussion of your results. Provide a synthesis of arguments presented in the paper to show how these converge to address the research problem and the overall objectives of your study.
• Indicate opportunities for future research if you haven't already done so in the discussion section of your paper. Highlighting the need for further research provides the reader with evidence that you have an in-depth awareness of the research problem but that further investigations should take place beyond the scope of your investigation.

Consider the following points to help ensure your conclusion is presented well:

• If the argument or purpose of your paper is complex, you may need to summarize the argument for your reader.
• If, prior to your conclusion, you have not yet explained the significance of your findings or if you are proceeding inductively, use the end of your paper to describe your main points and explain their significance.
• Move from a detailed to a general level of consideration that returns the topic to the context provided by the introduction or within a new context that emerges from the data [this is opposite of the introduction, which begins with general discussion of the context and ends with a detailed description of the research problem]. 

The conclusion also provides a place for you to persuasively and succinctly restate the research problem, given that the reader has now been presented with all the information about the topic . Depending on the discipline you are writing in, the concluding paragraph may contain your reflections on the evidence presented. However, the nature of being introspective about the research you have conducted will depend on the topic and whether your professor wants you to express your observations in this way. If asked to think introspectively about the topics, do not delve into idle speculation. Being introspective means looking within yourself as an author to try and understand an issue more deeply, not to guess at possible outcomes or make up scenarios not supported by the evidence.

II.  Developing a Compelling Conclusion

Although an effective conclusion needs to be clear and succinct, it does not need to be written passively or lack a compelling narrative. Strategies to help you move beyond merely summarizing the key points of your research paper may include any of the following:

• If your essay deals with a critical, contemporary problem, warn readers of the possible consequences of not attending to the problem proactively.
• Recommend a specific course or courses of action that, if adopted, could address a specific problem in practice or in the development of new knowledge leading to positive change.
• Cite a relevant quotation or expert opinion already noted in your paper in order to lend authority and support to the conclusion(s) you have reached [a good source would be from your literature review].
• Explain the consequences of your research in a way that elicits action or demonstrates urgency in seeking change.
• Restate a key statistic, fact, or visual image to emphasize the most important finding of your paper.
• If your discipline encourages personal reflection, illustrate your concluding point by drawing from your own life experiences.
• Return to an anecdote, an example, or a quotation that you presented in your introduction, but add further insight derived from the findings of your study; use your interpretation of results from your study to recast it in new or important ways.
• Provide a "take-home" message in the form of a succinct, declarative statement that you want the reader to remember about your study.

III. Problems to Avoid

Failure to be concise Your conclusion section should be concise and to the point. Conclusions that are too lengthy often have unnecessary information in them. The conclusion is not the place for details about your methodology or results. Although you should give a summary of what was learned from your research, this summary should be relatively brief, since the emphasis in the conclusion is on the implications, evaluations, insights, and other forms of analysis that you make. Strategies for writing concisely can be found here .

Failure to comment on larger, more significant issues In the introduction, your task was to move from the general [the field of study] to the specific [the research problem]. However, in the conclusion, your task is to move from a specific discussion [your research problem] back to a general discussion framed around the implications and significance of your findings [i.e., how your research contributes new understanding or fills an important gap in the literature]. In short, the conclusion is where you should place your research within a larger context [visualize your paper as an hourglass--start with a broad introduction and review of the literature, move to the specific analysis and discussion, conclude with a broad summary of the study's implications and significance].

Failure to reveal problems and negative results Negative aspects of the research process should never be ignored. These are problems, deficiencies, or challenges encountered during your study. They should be summarized as a way of qualifying your overall conclusions. If you encountered negative or unintended results [i.e., findings that are validated outside the research context in which they were generated], you must report them in the results section and discuss their implications in the discussion section of your paper. In the conclusion, use negative results as an opportunity to explain their possible significance and/or how they may form the basis for future research.

Failure to provide a clear summary of what was learned In order to be able to discuss how your research fits within your field of study [and possibly the world at large], you need to summarize briefly and succinctly how it contributes to new knowledge or a new understanding about the research problem. This element of your conclusion may be only a few sentences long.

Failure to match the objectives of your research Often research objectives in the social and behavioral sciences change while the research is being carried out. This is not a problem unless you forget to go back and refine the original objectives in your introduction. As these changes emerge they must be documented so that they accurately reflect what you were trying to accomplish in your research [not what you thought you might accomplish when you began].

Resist the urge to apologize If you've immersed yourself in studying the research problem, you presumably should know a good deal about it [perhaps even more than your professor!]. Nevertheless, by the time you have finished writing, you may be having some doubts about what you have produced. Repress those doubts! Don't undermine your authority as a researcher by saying something like, "This is just one approach to examining this problem; there may be other, much better approaches that...." The overall tone of your conclusion should convey confidence to the reader about the study's validity and realiability.

Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8; Concluding Paragraphs. College Writing Center at Meramec. St. Louis Community College; Conclusions. The Writing Center. University of North Carolina; Conclusions. The Writing Lab and The OWL. Purdue University; Freedman, Leora  and Jerry Plotnick. Introductions and Conclusions. The Lab Report. University College Writing Centre. University of Toronto; Leibensperger, Summer. Draft Your Conclusion. Academic Center, the University of Houston-Victoria, 2003; Make Your Last Words Count. The Writer’s Handbook. Writing Center. University of Wisconsin Madison; Miquel, Fuster-Marquez and Carmen Gregori-Signes. “Chapter Six: ‘Last but Not Least:’ Writing the Conclusion of Your Paper.” In Writing an Applied Linguistics Thesis or Dissertation: A Guide to Presenting Empirical Research . John Bitchener, editor. (Basingstoke,UK: Palgrave Macmillan, 2010), pp. 93-105; Tips for Writing a Good Conclusion. Writing@CSU. Colorado State University; Kretchmer, Paul. Twelve Steps to Writing an Effective Conclusion. San Francisco Edit, 2003-2008; Writing Conclusions. Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Writing: Considering Structure and Organization. Institute for Writing Rhetoric. Dartmouth College.

Writing Tip

Don't Belabor the Obvious!

Avoid phrases like "in conclusion...," "in summary...," or "in closing...." These phrases can be useful, even welcome, in oral presentations. But readers can see by the tell-tale section heading and number of pages remaining that they are reaching the end of your paper. You'll irritate your readers if you belabor the obvious.

Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8.

Another Writing Tip

New Insight, Not New Information!

Don't surprise the reader with new information in your conclusion that was never referenced anywhere else in the paper. This why the conclusion rarely has citations to sources. If you have new information to present, add it to the discussion or other appropriate section of the paper. Note that, although no new information is introduced, the conclusion, along with the discussion section, is where you offer your most "original" contributions in the paper; the conclusion is where you describe the value of your research, demonstrate that you understand the material that you’ve presented, and position your findings within the larger context of scholarship on the topic, including describing how your research contributes new insights to that scholarship.

Assan, Joseph. "Writing the Conclusion Chapter: The Good, the Bad and the Missing." Liverpool: Development Studies Association (2009): 1-8; Conclusions. The Writing Center. University of North Carolina.

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Significance of the Study: Research Paper

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Significance of the Study on the Impact of Remote Work on Employee Productivity in the Tech Industry

1. Introduction : The shift to remote work due to the COVID-19 pandemic has significantly altered workplace dynamics, particularly in the tech industry. This research paper explores the impact of remote work on employee productivity, offering comprehensive insights through both qualitative and quantitative analysis.

2. Purpose of the Study : The primary objective is to assess how remote work influences productivity among tech employees. This study examines various productivity metrics, such as task completion rates, quality of work, and employee satisfaction, using surveys and interviews.

3. Importance to the Field : This study contributes to the academic field by integrating empirical data and personal experiences to provide a holistic view of remote work’s impact on productivity. It enhances theoretical models and validates current theories with robust data, offering new insights for scholars and practitioners.

4. Practical Implications : The findings have substantial practical implications for tech companies. Managers and HR departments can use these insights to develop effective remote work policies that enhance employee performance and well-being. Understanding the challenges and benefits of remote work helps in designing targeted interventions and support systems.

5. Advancement of Future Research : This research provides a foundation for future studies on remote work. It addresses gaps in the literature by combining quantitative and qualitative approaches, encouraging further exploration of remote work’s long-term effects and its implications across different industries and cultural contexts.

6. Societal Impact : The study highlights broader societal benefits, such as improved work-life balance, reduced urban congestion, and lower environmental pollution. These findings can influence public policy and corporate strategies, promoting flexible and sustainable working conditions and contributing to societal well-being.

7. Conclusion : Understanding the impact of remote work on productivity is crucial for developing effective work policies and fostering healthier work environments. This research provides valuable insights that can guide tech companies in optimizing their remote work strategies. Future research should continue to explore the long-term effects across various sectors to gain a comprehensive understanding of remote work’s implications.

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In this article, we study the motivation and performance of researchers. More specifically, we investigate what motivates researchers across different research fields and countries and how this motivation influences their research performance. The basis for our study is a large-N survey of economists, cardiologists, and physicists in Denmark, Norway, Sweden, the Netherlands, and the UK. The analysis shows that researchers are primarily motivated by scientific curiosity and practical application and less so by career considerations. There are limited differences across fields and countries, suggesting that the mix of motivational aspects has a common academic core less influenced by disciplinary standards or different national environments. Linking motivational factors to research performance, through bibliometric data on publication productivity and citation impact, our data show that those driven by practical application aspects of motivation have a higher probability for high productivity. Being driven by career considerations also increases productivity but only to a certain extent before it starts having a detrimental effect.

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Introduction

Motivation and abilities are known to be as important factors in explaining employees’ job performance of employees (Van Iddekinge et al. 2018 ), and in the vast scientific literature on motivation, it is common to differentiate between intrinsic and extrinsic motivation factors (Ryan and Deci 2000 ). In this context, path-breaking individuals are said to often be intrinsically motivated (Jindal-Snape and Snape 2006 ; Thomas and Nedeva 2012 ; Vallerand et al. 1992 ), and it has been found that the importance of these of types of motivations differs across occupations and career stages (Duarte and Lopes 2018 ).

In this article, we address the issue of motivation for one specific occupation, namely: researchers working at universities. Specifically, we investigate what motivates researchers across fields and countries (RQ1) and how this motivation is linked to their research performance (RQ2). The question of why people are motivated to do their jobs is interesting to address in an academic context, where work is usually harder to control, and individuals tend to have a lot of much freedom in structuring their work. Moreover, there have been indications that academics possess an especially high level of motivation for their tasks that is not driven by a search for external rewards but by an intrinsic satisfaction from academic work (Evans and Meyer 2003 ; Leslie 2002 ). At the same time, elements of researchers’ performance are measurable through indicators of their publication activity: their productivity through the number of outputs they produce and the impact of their research through the number of citations their publications receive (Aksnes and Sivertsen 2019 ; Wilsdon et al. 2015 ).

Elevating research performance is high on the agenda of many research organisations (Hazelkorn 2015 ). How such performance may be linked to individuals’ motivational aspects has received little attention. Thus, a better understanding of this interrelation may be relevant for developing institutional strategies to foster environments that promote high-quality research and research productivity.

Previous qualitative research has shown that scientists are mainly intrinsically motivated (Jindal-Snape and Snape 2006 ). Other survey-based contributions suggest that there can be differences in motivations across disciplines (Atta-Owusu and Fitjar 2021 ; Lam 2011 ). Furthermore, the performance of individual scientists has been shown to be highly skewed in terms of publication productivity and citation rates (Larivière et al. 2010 ; Ruiz-Castillo and Costas 2014 ). There is a large body of literature explaining these differences. Some focus on national and institutional funding schemes (Hammarfelt and de Rijcke 2015 ; Melguizo and Strober 2007 ) and others on the research environment, such as the presence of research groups and international collaboration (Jeong et al. 2014 ), while many studies address the role of academic rank, age, and gender (see e.g. Baccini et al. 2014 ; Rørstad and Aksnes 2015 ). Until recently, less emphasis has been placed on the impact of researchers’ motivation. Some studies have found that different types of motivations drive high levels of research performance (see e.g. Horodnic and Zaiţ 2015 ; Ryan and Berbegal-Mirabent 2016 ). However, researchers are only starting to understand how this internal drive relates to research performance.

While some of the prior research on the impact of motivation depends on self-reported research performance evaluations (Ryan 2014 ), the present article combines survey responses with actual bibliometric data. To investigate variation in research motivation across scientific fields and countries, we draw on a large-N survey of economists, cardiologists, and physicists in Denmark, Norway, Sweden, the Netherlands, and the UK. To investigate how this motivation is linked to their research performance, we map the survey respondents’ publication and citation data from the Web of Science (WoS).

This article is organised as follows. First, we present relevant literature on research performance and motivation. Next, the scientific fields and countries are then presented before elaborating on our methodology. In the empirical analysis, we investigate variations in motivation across fields, gender, age, and academic position and then relate motivation to publications and citations as our two measures of research performance. In the concluding section, we discuss our findings and implications for national decision-makers and individual researchers.

Motivation and research performance

As noted above, the concepts of intrinsic and extrinsic motivation play an important role in the literature on motivation and performance. Here, intrinsic motivation refers to doing something for its inherent satisfaction rather than for some separable consequence. Extrinsic motivation refers to doing something because it leads to a separable outcome (Ryan and Deci 2000 ).

Some studies have found that scientists are mainly intrinsically motivated (Jindal-Snape and Snape 2006 ; Lounsbury et al. 2012 ). Research interests, curiosity, and a desire to contribute to new knowledge are examples of such motivational factors. Intrinsic motives have also been shown to be crucial when people select research as a career choice (Roach and Sauermann 2010 ). Nevertheless, scientists are also motivated by extrinsic factors. Several European countries have adopted performance-based research funding systems (Zacharewicz et al. 2019 ). In these systems, researchers do not receive direct financial bonuses when they publish, although such practices may occur at local levels (Stephan et al. 2017 ). Therefore, extrinsic motivation for such researchers may include salary increases, peer recognitions, promotion, or expanded access to research resources (Lam 2011 ). According to Tien and Blackburn ( 1996 ), both types of motivations operate simultaneously, and their importance vary and may depend on the individual’s circumstances, personal situation, and values.

The extent to which different kinds of motivations play a role in scientists’ performance has been investigated in several studies. In these studies, bibliometric indicators based on the number of publications are typically used as outcome measures. Such indicators play a critical role in various contexts in the research system (Wilsdon et al. 2015 ), although it has also been pointed out that individuals can have different motivations to publish (Hangel and Schmidt-Pfister 2017 ).

Based on a survey of Romanian economics and business administration academics combined with bibliometric data, Horodnic and Zait ( 2015 ) found that intrinsic motivation was positively correlated with research productivity, while extrinsic motivation was negatively correlated. Their interpretations of the results are that researchers motivated by scientific interest are more productive, while researchers motivated by extrinsic forces will shift their focus to more financially profitable activities. Similarly, based on the observation that professors continue to publish even after they have been promoted to full professor, Finkelstein ( 1984 ) concluded that intrinsic rather than extrinsic motivational factors have a decisive role regarding the productivity of academics.

Drawing on a survey of 405 research scientists working in biological, chemical, and biomedical research departments in UK universities, Ryan ( 2014 ) found that (self-reported) variations in research performance can be explained by instrumental motivation based on financial incentives and internal motivation based on the individual’s view of themselves (traits, competencies, and values). In the study, instrumental motivation was found to have a negative impact on research performance: As the desire for financial rewards increase, the level of research performance decreases. In other words, researchers mainly motivated by money will be less productive and effective in their research. Contrarily, internal motivation was found to have a positive impact on research performance. This was explained by highlighting that researchers motivated by their self-concept set internal standards that become a reference point that reinforces perceptions of competency in their environments.

Nevertheless, it has also been argued that intrinsic and extrinsic motivations for publishing are intertwined (Ma 2019 ). According to Tien and Blackburn ( 1996 ), research productivity is neither purely intrinsically nor purely extrinsically motivated. Publication activity is often a result of research, which may be intrinsically motivated or motivated by extrinsic factors such as a wish for promotion, where the number of publications is often a part of the assessment (Cruz-Castro and Sanz-Menendez 2021 ; Tien 2000 , 2008 ).

The negative relationship between external/instrumental motivation and performance and the positive relationship between internal/self-concept motivation and performance are underlined by Ryan and Berbegal-Mirabent ( 2016 ). Drawing on a fuzzy set qualitative comparative analysis of a random sampling of 300 of the original respondents from Ryan ( 2014 ), they find that scientists working towards the standards and values they identify with, combined with a lack of concern for instrumental rewards, contribute to higher levels of research performance.

Based on the above, this article will address two research questions concerning different forms of motivation and the relationship between motivation and research performance.

How does the motivation of researchers vary across fields and countries?

How do different types of motivations affect research performance?

In this study, the roles of three different motivational factors are analysed. These are scientific curiosity, practical and societal applications, and career progress. The study aims to assess the role of these specific motivational factors and not the intrinsic-extrinsic distinction more generally. Of the three factors, scientific curiosity most strongly relates to intrinsic motivation; practical and societal applications also entail strong intrinsic aspects. On the other hand, career progress is linked to extrinsic motivation.

In addition to variation in researchers’ motivations by field and country, we consider differences in relation to age, position and gender. Additionally, when investigating how motivation relates to scientific performance we control for the influence of age, gender, country and funding. These are dimensions where differences might be found in motivational factors given that scientific performance, particularly publication productivity, has been shown to differ along these dimensions (Rørstad and Aksnes 2015 ).

Research context: three fields, five countries

To address the research question about potential differences across fields and countries, the study is based on a sample consisting of researchers in three different fields (cardiology, economics, and physics) and five countries (Denmark, Norway, Sweden, the Netherlands, and the UK). Below, we describe this research context in greater detail.

The fields represent three different domains of science: medicine, social sciences, and the natural sciences, where different motivational factors may be at play. This means that the fields cover three main areas of scientific investigations: the understanding of the world, the functioning of the human body, and societies and their functions. The societal role and mission of the fields also differ. While a primary aim of cardiology research and practice is to reduce the burden of cardiovascular disease, physics research may drive technology advancements, which impacts society. Economics research may contribute to more effective use of limited resources and the management of people, businesses, markets, and governments. In addition, the fields also differ in publication patterns (Piro et al. 2013 ). The average number of publications per researcher is generally higher in cardiology and physics than in economics (Piro et al. 2013 ). Moreover, cardiologists and physicists mainly publish in international scientific journals (Moed 2005 ; Van Leeuwen 2013 ). In economics, researchers also tend to publish books, chapters, and articles in national languages, in addition to international journal articles (Aksnes and Sivertsen 2019 ; van Leeuwen et al. 2016 ).

We sampled the countries with a twofold aim. On the one hand, we wanted to have countries that are comparable so that differences in the development of the science systems, working conditions, or funding availability would not be too large. On the other hand, we also wanted to assure variation among the countries regarding these relevant framework conditions to ensure that our findings are not driven by a specific contextual condition.

The five countries in the study are all located in the northwestern part of Europe, with science systems that are foremost funded by block grant funding from the national governments (unlike, for example, the US, where research grants by national funding agencies are the most important funding mechanism) (Lepori et al. 2023 ).

In all five countries, the missions of the universities are composed of a blend of education, research, and outreach. Furthermore, the science systems in Norway, Denmark, Sweden, and the Netherlands have a relatively strong orientation towards the Anglo-Saxon world in the sense that publishing in the national language still exists, but publishing in English in internationally oriented journals in which English is the language of publications is the norm (Kulczycki et al. 2018 ). These framework conditions ensure that those working in the five countries have somewhat similar missions to fulfil in their professions while also belonging to a common mainly Anglophone science system.

However, in Norway, Denmark, Sweden, and the Netherlands, research findings in some social sciences, law, and the humanities are still oriented on publishing in various languages. Hence, we avoided selecting the humanities field for this study due to a potential issue with cross-country comparability (Sivertsen 2019 ; Sivertsen and Van Leeuwen 2014 ; Van Leeuwen 2013 ).

Finally, the chosen countries vary regarding their level of university autonomy. When combining the scores for organisational, financial, staffing, and academic autonomy presented in the latest University Autonomy in Europe Scorecard presented by the European University Association (EUA), the UK, the Netherlands, and Denmark have higher levels of autonomy compared to Norway and Sweden, with Swedish universities having less autonomy than their Norwegian counterparts (Pruvot et al. 2023 ). This variation is relevant for our study, as it ensures that our findings are not driven by response from a higher education system with especially high or low autonomy, which can influence the motivation and satisfaction of academics working in it (Daumiller et al. 2020 ).

Data and methods

The data used in this article are a combination of survey data and bibliometric data retrieved from the WoS. The WoS database was chosen for this study due to its comprehensive coverage of research literature across all disciplines, encompassing the three specific research areas under analysis. Additionally, the WoS database is well-suited for bibliometric analyses, offering citation counts essential for this study.

Two approaches were used to identify the sample for the survey. Initially, a bibliometric analysis of the WoS using journal categories (‘Cardiac & cardiovascular systems’, ‘Economics’, and ‘Physics’) enabled the identification of key institutions with a minimum number of publications within these journal categories. Following this, relevant organisational units and researchers within these units were identified through available information on the units’ webpages. Included were employees in relevant academic positions (tenured academic personnel, post-docs, and researchers, but not PhD students, adjunct positions, guest researchers, or administrative and technical personnel).

Second, based on the WoS data, people were added to this initial sample if they had a minimum number of publications within the field and belonged to any of the selected institutions, regardless of unit affiliation. For economics, the minimum was five publications within the selected period (2011–2016). For cardiology and physics, where the individual publication productivity is higher, the minimum was 10 publications within the same period. The selection of the minimum publication criteria was based on an analysis of publication outputs in these fields between 2011 and 2016. The thresholds were applied to include individuals who are more actively engaged in research while excluding those with more peripheral involvement. The higher thresholds for cardiology and physics reflect the greater frequency of publications (and co-authorship) observed in these fields.

The benefit of this dual-approach strategy to sampling is that we obtain a more comprehensive sample: the full scope of researchers within a unit and the full scope of researchers that publish within the relevant fields. Overall, 59% of the sample were identified through staff lists and 41% through the second step involving WoS data.

The survey data were collected through an online questionnaire first sent out in October 2017 and closed in December 2018. In this period, several reminders were sent to increase the response rate. Overall, the survey had a response rate of 26.1% ( N  = 2,587 replies). There were only minor variations in response rates between scientific fields; the variations were larger between countries. Tables  1 and 2 provide an overview of the response rate by country and field.

Operationalisation of motivation

Motivation was measured by a question in the survey asking respondents what motivates or inspires them to conduct research, of which three dimensions are analysed in the present paper. The two first answer categories were related to intrinsic motivation (‘Curiosity/scientific discovery/understanding the world’ and ‘Application/practical aims/creating a better society’). The third answer category was more related to extrinsic motivation (‘Progress in my career [e.g. tenure/permanent position, higher salary, more interesting/independent work]’). Appendix Table A1 displays the distribution of respondents and the mean value and standard deviation for each item.

These three different aspects of motivation do not measure the same phenomenon but seem to capture different aspects of motivation (see Pearson’s correlation coefficients in Appendix Table A2 ). There is no correlation between curiosity/scientific discovery, career progress, and practical application. However, there is a weak but significant positive correlation between career progress and practical application. These findings indicate that those motivated by career considerations to some degrees also are motivated by practical application.

In addition to investigating how researchers’ motivation varies by field and country, we consider the differences in relation to age, position and gender as well. Field of science differentiates between economics, cardiology, physics, and other fields. The country variables differentiate between the five countries. Age is a nine-category variable. The position variable differentiates between full professors, associate professors, and assistant professors. The gender variable has two categories (male or female). For descriptive statistics on these additional variables, see Appendix Table A3 .

Publication productivity and citation impact

To analyse the respondents’ bibliometric performance, the Centre for Science and Technology Studies (CWTS) in-house WoS database was used. We identified the publication output of each respondent during 2011–2017 (limited to regular articles, reviews, and letters). For 16% of the respondents, no publications were identified in the database. These individuals had apparently not published in international journals covered by the database. However, in some cases, the lack of publications may be due to identification problems (e.g. change of names). Therefore, we decided not to include the latter respondents in the analysis.

Two main performance measures were calculated: publication productivity and citation impact. As an indicator of productivity, we counted the number of publications for each individual (as author or co-author) during the period. To analyse the citation impact, a composite measure using three different indicators was used: total number of citations (total citations counts for all articles they have contributed to during the period, counting citations up to and including 2017), normalised citation score (MNCS), and proportion of publications among the 10% most cited articles in their fields (Waltman and Schreiber 2013 ). Here, the MNCS is an indicator for which the citation count of each article is normalised by subject, article type, and year, where 1.00 corresponds to the world average (Waltman et al. 2011 ). Based on these data, averages for the total publication output of each respondent were calculated. By using three different indicators, we can avoid biases or limitations attached to each of them. For example, using the MNCS, a respondent with only one publication would appear as a high impact researcher if this article was highly cited. However, when considering the additional indicator, total citation counts, this individual would usually perform less well.

The bibliometric scores were skewedly distributed among the respondents. Rather than using the absolute numbers, in this paper, we have classified the respondents into three groups according to their scores on the indicators. Here, we have used percentile rank classes (tertiles). Percentile statistics are increasingly applied in bibliometrics (Bornmann et al. 2013 ; Waltman and Schreiber 2013 ) due to the presence of outliers and long tails, which characterise both productivity and citation distributions.

As the fields analysed have different publication patterns, the respondents within each field were ranked according to their scores on the indicators, and their percentile rank was determined. For the productivity measure, this means that there are three groups that are equal in terms of number of individuals included: 1: Low productivity (the group with the lowest publication numbers, 0–33 percentile), 2: Medium productivity (33–67 percentile), and 3: High productivity (67–100 percentile). For the citation impact measure, we conducted a similar percentile analysis for each of the three composite indicators. Then everyone was assigned to one of the three percentile groups based on their average score: 1: Low citation impact (the group with lowest citation impact, 0–33 percentile), 2: Medium citation impact (33–67 percentile), and 3: High citation impact (67–100 percentile), cf. Table  3 . Although it might be argued that the application of tertile groups rather than absolute numbers leads to a loss of information, the advantage is that the results are not influenced by extreme values and may be easier to interpret.

Via this approach, we can analyse the two important dimensions of the respondents’ performance. However, it should be noted that the WoS database does not cover the publication output of the fields equally. Generally, physics and cardiology are very well covered, while the coverage of economics is somewhat lower due to different publication practices (Aksnes and Sivertsen 2019 ). This problem is accounted for in our study by ranking the respondents in each field separately, as described above. In addition, not all respondents may have been active researchers during the entire 2011–2017 period, which we have not adjusted for. Despite these limitations, the analysis provides interesting information on the bibliometric performance of the respondents at an aggregated level.

Regression analysis

To analyse the relationship between motivation and performance, we apply multinomial logistic regression rather then ordered logistic regression because we assume that the odds for respondents belonging in each category of the dependent variables are not equal (Hilbe 2017 ). The implication of this choice of model is that the model tests the probability of respondents being in one category compared to another (Hilbe 2017 ). This means that a reference or baseline category must be selected for each of the dependent variables (productivity and citation impact). Furthermore, the coefficient estimates show how the probability of being in one of the other categories decreases or increases compared to being in the reference category.

For this analysis, we selected the medium performers as the reference or baseline category for both our dependent variables. This enables us to evaluate how the independent variables affect the probability of being in the low performers group compared to the medium performers and the high performers compared to the medium performers.

To evaluate model fit, we started with a baseline model where only types of motivations were included as independent variables. Subsequently, the additional variables were introduced into the model, and based on measures for model fit (Pseudo R 2 , -2LL, and Akaike Information Criterion (AIC)), we concluded that the model with all additional variables included provides the best fit to the data for both the dependent variables (see Appendix Tables A5 and A6 ). Additional control variables include age, gender, country, and funding. We include these variables as controls to obtain robust effects of motivation and not effects driven by other underlying factors. The type of funding was measured by variables where the respondent answered the following question: ‘How has your research been funded the last five years?’ The funding variable initially consisted of four categories: ‘No source’, ‘Minor source’, ‘Moderate source’, and ‘Major source’. In this analysis, we have combined ‘No source’ and ‘Minor source’ into one category (0) and ‘Moderate source’ and ‘Major source’ into another category (1). Descriptive statistics for the funding variables are available in Appendix Table A4 . We do not control for the influence of field due to how the scientific performance variables are operationalised, the field normalisation implies that there are no variations across fields. We also do not control for position, as this variable is highly correlated with age, and we are therefore unable to include these two variables in the same model.

The motivation of researchers

In the empirical analysis, we first investigate variation in motivation and then relate it to publications and citations as our two measures of research performance.

As Fig.  1 shows, the respondents are mainly driven by curiosity and the wish to make scientific discoveries. This is by far the most important motivation. Practical application is also an important source of motivation, while making career progress is not identified as being very important.

Motivation of researchers– percentage

As Table  4 shows, at the level of fields, there are no large differences, and the motivational profiles are relatively similar. However, physicists tend to view practical application as somewhat less important than cardiologists and economists. Moreover, career progress is emphasised most by economists. Furthermore, as table 5 shows, there are some differences in motivation between countries. For curiosity/scientific discovery and practical application, the variations across countries are minor, but researchers in Denmark tend to view career progress as somewhat more important than researchers in the other countries.

Furthermore, as table 6 shows, women seem to view practical application and career progress as a more important motivation than men; these differences are also significant. Similar gender disparities have also been reported in a previous study (Zhang et al. 2021 ).

There are also some differences in motivation across the additional variables worth mentioning, as Table  7 shows. Unsurprisingly, perhaps, there is a significant moderate negative correlation between age, position, and career progress. This means that the importance of career progress as a motivation seems to decrease with increased age or a move up the position hierarchy.

In the second part of the analysis, we relate motivation to research performance. We first investigate publications and productivity using the percentile groups. Here, we present the results we use using predicted probabilities because they are more easily interpretable than coefficient estimates. For the model with productivity percentile groups as the dependent variable, the estimates for career progress were negative when comparing the medium productivity group to the high productivity group and the medium productivity group to the low productivity group. This result indicates that the probability of being in the high and low productivity groups decreases compared to the medium productivity group as the value of career progress increases, which may point towards a curvilinear relationship between the variables. A similar pattern was also found in the model with the citation impact group as the dependent variable, although it was not as apparent.

As a result of this apparent curvilinear relationship, we included quadric terms for career progress in both models, and these were significant. Likelihood ratio tests also show that the models with quadric terms included have a significant better fit to the data. Furthermore, the AIC was also lower for these models compared to the initial models where quadric terms were not included (see Appendix Tables A5 – A7 ). Consequently, we base our results on these models, which can be found in Appendix Table A7 . Due to a low number of respondents in the low categories of the scientific curiosity/discovery variable, we also combined the first three values into one to include it as a variable in the regression analysis, which results in a reduced three-value variable for scientific curiosity/discovery.

Results– productivity percentile group

Using the productivity percentile group as the dependent variable, we find that the motivational aspects of practical application and career progress have a significant effect on the probability of being in the low, medium, or high productivity group but not curiosity/scientific discovery. In Figs.  2 and 3 , each line represents the probability of being in each group across the scale of each motivational aspect.

Predicted probability for being in each of the productivity groups according to the value on the ‘practical application’ variable

Predicted probability of being in the low and high productivity groups according to the value on the ‘progress in my career’ variable

Figure  2 shows that at low values of application, there are no significant differences between the probability of being in either of the groups. However, from around value 3 of application, the differences between the probability of being in each group increases, and these are also significant. As a result, we concluded that high scores on practical application is related to increased probability of being in the high productivity group.

In Fig.  3 , we excluded the medium productivity group from the figure because there are no significant differences between this group and the high and low productivity group. Nevertheless, we found significant differences between the low productivity and the high productivity group. Since we added a quadric term for career progress, the two lines in Fig.  3 have a curvilinear shape. Figure  3 shows that there are only significant differences between the probability of being in the low or high productivity group at mid and high values of career progress. In addition, the probability of being in the high productivity group is at its highest value at mid values of career progress. This indicates that being motivated by career progress increases the probability of being in the high productivity group but only up to a certain point before it begins to have a negative effect on the probability of being in this group.

We also included age and gender as variables in the model, and Figs.  4 and 5 show the results. Figure  4 shows that age especially impacts the probability of being in the high productivity and low productivity groups. The lowest age category (< 30–34 years) has the highest probability for being in the low productivity group, while from the mid age category (50 years and above), the probability is highest for being in the high productivity group. This means that increased age is related to an increased probability of high productivity. The variable controlling for the effect of funding also showed some significant results (see Appendix Table A7 ). The most relevant finding is that receiving competitive grants from external public sources had a very strong and significant positive effect on being in the high productivity group and a medium-sized significant negative effect on being in the low productivity group. This shows that receiving external funding in the form of competitive grants has a strong effect on productivity.

Predicted probability of being in each of the productivity groups according to age

Figure  5 shows that there is a difference between male and female respondents. For females, there are no differences in the probability of being in either of the groups, while males have a higher probability of being in the high productivity group compared to the medium and low productivity groups.

Results– citation impact group

For the citation impact group as the dependent variable, we found that career progress has a significant effect on the probability of being in the low citation impact group or the high citation group but not curiosity/scientific discovery or practical application. Figure  6 shows how the probability of being in the high citation impact group increases as the value on career progress increases and is higher than that of being in the low citation impact group, but only up to a certain point. This indicates that career progress increases the probability of being in the high citation impact group to some degree but that too high values are not beneficial for high citation impact. However, it should also be noted that the effect of career progress is weak and that it is difficult to conclude on how very low or very high values of career progress affect the probability of being in the two groups.

Predicted probability for being in each of the citation impact groups according to the value on the ‘progress in my career’ variable

We also included age and gender as variables in the model, and we found a similar pattern as in the model with productivity percentile group as the dependent variable. However, the relationship between the variables is weaker in this model with the citation impact group as the dependent variable. Figure  7 shows that the probability of being in the high citation impact group increases with age, but there is no significant difference between the probability of being in the high citation impact group and the medium citation impact group. We only see significant differences when each of these groups is compared to the low citation impact group. In addition, the increase in probability is more moderate in this model.

Predicted probability of being in each of the citation impact groups according to age

Figure  8 shows that there are differences between male and female respondents. Male respondents have a significant higher probability of being in the medium or high citation impact group compared to the low citation impact group, but there is no significant difference in the probability between the high and medium citation impact groups. For female respondents, there are no significant differences. Similarly, for age, the effect also seems to be more moderate in this model compared to the model with productivity percentile groups as the dependent variable. In addition, the effect of funding sources is more moderate on citation impact compared to productivity (see Appendix Table A7 ). Competitive grants from external public sources still have the most relevant effect, but the effect size and level of significance is lower than for the model where productivity groups are the dependent variable. Respondents who received a large amount of external funding through competitive grants are more likely to be highly cited, but the effect size is much smaller, and the result is only significant at p  < 0.1. Those who do not receive much funding from this source are more likely to be in the low impact group. Here, the effect size is large, and the coefficient is highly significant.

Predicted probability for being in each of the citation impact groups according to gender

Concluding discussion

This article aimed to explore researchers’ motivations and investigate the impact of motivation on research performance. By addressing these issues across several fields and countries, we provided new evidence on the motivation and performance of researchers.

Most researchers in our large-N survey found curiosity/scientific discovery to be a crucial motivational factor, with practical application being the second most supported aspect. Only a smaller number of respondents saw career progress as an important inspiration to conduct their research. This supports the notion that researchers are mainly motivated by core aspects of academic work such as curiosity, discoveries, and practical application of their knowledge and less so by personal gains (see Evans and Meyer 2003 ). Therefore, our results align with earlier research on motivation. In their interview study of scientists working at a government research institute in the UK, Jindal-Snape and Snape ( 2006 ) found that the scientists were typically motivated by the ability to conduct high quality, curiosity-driven research and de-motivated by the lack of feedback from management, difficulty in collaborating with colleagues, and constant review and change. Salaries, incentive schemes, and prospects for promotion were not considered a motivator for most scientists. Kivistö and colleagues ( 2017 ) also observed similar patterns in more recent survey data from Finnish academics.

As noted in the introduction, the issue of motivation has often been analysed in the literature using the intrinsic-extrinsic distinction. In our study, we have not applied these concepts directly. However, it is clear that the curiosity/scientific discovery item should be considered a type of intrinsic motivation, as it involves performing the activity for its inherent satisfaction. Moreover, the practical application item should probably be considered mainly intrinsic, as it involves creating a better society (for others) without primarily focusing on gains for oneself. The career progress item explicitly mentions personal gains such as position and higher salary and is, therefore, a type of extrinsic motivation. This means that our results support the notion that there are very strong elements of intrinsic motivation among researchers (Jindal-Snape and Snape 2006 ).

When analysing the three aspects of motivation, we found some differences. Physicists tend to view practical application as less important than researchers in the two other fields, while career progress was most emphasised by economists. Regarding country differences, our data suggest that career progress is most important for researchers in Denmark. Nevertheless, given the limited effect sizes, the overall picture is that motivational factors seem to be relatively similar regarding disciplinary and country dimensions.

Regarding gender aspects of motivation, our data show that women seem to view practical application and career progress as more important than men. One explanation for this could be the continued gender differences in academic careers, which tend to disadvantage women, thus creating a greater incentive for female scholars to focus on and be motivated by career progress aspects (Huang et al. 2020 ; Lerchenmueller and Sorenson 2018 ). Unsurprisingly, respondents’ age and academic position influenced the importance of different aspects of motivation, especially regarding career progress. Here, increased age and moving up the positional hierarchy are linked to a decrease in importance. This highlights that older academics and those in more senior positions drew more motivation from other sources that are not directly linked to their personal career gains. This can probably be explained by the academic career ladder plateauing at a certain point in time, as there are often no additional titles and very limited recognition beyond becoming a full professor. Finally, the type of funding that scholars received also had an influence on their productivity and, to a certain extent, citation impact.

Overall, there is little support that researchers across various fields and countries are very different when it comes to their motivation for conducting research. Rather, there seems to be a strong common core of academic motivation that varies mainly by gender and age/position. Rather than talking about researchers’ motivation per se, our study, therefore, suggests that one should talk about motivation across gender, at different stages of the career, and, to a certain degree, in different fields. Thus, motivation seems to be a multi-faceted construct, and the importance of different aspects of motivation vary between different groups.

In the second step of our analysis, we linked motivation to performance. Here, we focused on both scientific productivity and citation impact. Regarding the former, our data show that both practical application and career progress have a significant effect on productivity. The relationship between practical application aspects and productivity is linear, meaning that those who indicate that this aspect of motivation is very important to them have a higher probability of being in the high productivity group. The relationship between career aspects of motivation and productivity is curve linear, and we found only significant differences between the high and low productivity groups at mid and high values of the motivation scale. This indicates that being more motivated by career progress increases productivity but only to a certain extent before it starts having a detrimental effect. A common assumption has been that intrinsic motivation has a positive and instrumental effect and extrinsic motivation has a negative effect on the performance of scientists (Peng and Gao 2019 ; Ryan and Berbegal-Mirabent 2016 ). Our results do not generally support this, as motives related to career progress are positively linked with productivity only to a certain point. Possibly, this can be explained by the fact that the number of publications is often especially important in the context of recruitment and promotion (Langfeldt et al. 2021 ; Reymert et al. 2021 ). Thus, it will be beneficial from a scientific career perspective to have many publications when trying to get hired or promoted.

Regarding citation impact, our analysis highlights that only the career aspects of motivation have a significant effect. Similar to the results regarding productivity, being more motivated by career progress increases the probability of being in the high citation impact group, but only to a certain value when the difference stops being significant. It needs to be pointed out that the effect strength is weaker than in the analysis that focused on productivity. Thus, these results should be treated with greater caution.

Overall, our results shed light on some important aspects regarding the motivation of academics and how this translates into research performance. Regarding our first research question, it seems to be the case that there is not one type of motivation but rather different contextual mixes of motivational aspects that are strongly driven by gender and the academic position/age. We found only limited effects of research fields and even less pronounced country effects, suggesting that while situational, the mix of motivational aspects also has a common academic core that is less influenced by different national environments or disciplinary standards. Regarding our second research question, our results challenge the common assumption that intrinsic motivation has a positive effect and extrinsic motivation has a negative effect on the performance of scientists. Instead, we show that motives related to career are positively linked to productivity at least to a certain point. Our analysis regarding citation patterns achieved similar results. Combined with the finding regarding the importance of current academic position and age for specific patterns of motivation, it could be argued that the fact that the number of publications is often used as a measurement in recruitment and promotion makes academics that are more driven by career aspects publish more, as this is perceived as a necessary condition for success.

Our study has a clear focus on the research side of academic work. However, most academics do both teaching and research, which raises the question of how far our results can also inform our knowledge regarding the motivation for teaching. On the one hand, previous studies have highlighted that intrinsic motivation is also of high importance for the quality of teaching (see e.g. Wilkesmann and Lauer 2020 ), which fits well with our findings. At the same time, the literature also highlights persistent goal conflicts of academics (see e.g. Daumiller et al. 2020 ), given that extra time devoted to teaching often comes at the costs of publications and research. Given that other findings in the literature show that research performance continues to be of higher importance than teaching in academic hiring processes (Reymert et al. 2021 ), the interplay between research performance, teaching performance, and different types of motivation is most likely more complicated and demands further investigation.

While offering several relevant insights, our study still comes with certain limitations that must be considered. First, motivation is a complex construct. Thus, there are many ways one could operationalise it, and not one specific understanding so far seems to have emerged as best practice. Therefore, our approach to operationalisation and measurement should be seen as an addition to this broader field of measurement approaches, and we do not claim that this is the only sensible way of doing it. Second, we rely on self-reported survey data to measure the different aspects of motivation in our study. This means that aspects such as social desirability could influence how far academics claim to be motivated by certain aspects. For example, claiming to be mainly motivated by personal career gains may be considered a dubious motive among academics.

With respect to the bibliometric analyses, it is important to realise that we have lumped researchers into categories, thereby ‘smoothening’ the individual performances into group performances under the various variables. This has an effect that some extraordinary scores might have become invisible in our study, which might have been interesting to analyse separately, throwing light on the relationships we studied. However, breaking the material down to the lower level of analysis of individual researchers also comes with a limitation, namely that at the level of the individual academic, bibliometrics tend to become quite sensitive for the underlying numbers, which in itself is then hampered by the coverage of the database used, the publishing cultures in various countries and fields, and the age and position of the individuals. Therefore, the level of the individual academic has not been analysed in our study, how interesting and promising outcomes might have been. even though we acknowledge that such a study could yield interesting results.

Finally, our sample is drawn from northwestern European countries and a limited set of disciplines. We would argue that we have sufficient variation in countries and disciplines to make the results relevant for a broader audience context. While our results show rather small country or discipline differences, we are aware that there might be country- or discipline-specific effects that we cannot capture due to the sampling approach we used. Moreover, as we had to balance sufficient variation in framework conditions with the comparability of cases, the geographical generalisation of our results has limitations.

This article investigated what motivates researchers across different research fields and countries and how this motivation influences their research performance. The analysis showed that the researchers are mainly motivated by scientific curiosity and practical application and less so by career considerations. Furthermore, the analysis shows that researchers driven by practical application aspects of motivation have a higher probability of high productivity. Being driven by career considerations also increases productivity but only to a certain extent before it starts having a detrimental effect.

The article is based on a large-N survey of economists, cardiologists, and physicists in Denmark, Norway, Sweden, the Netherlands, and the UK. Building on this study, future research should expand the scope and study the relationship between motivation and productivity as well as citation impact in a broader disciplinary and geographical context. In addition, we encourage studies that develop and validate our measurement and operationalisation of aspects of researchers’ motivation.

Finally, a long-term panel study design that follows respondents throughout their academic careers and investigates how far their motivational patterns shift over time would allow for more fine-grained analysis and thereby a richer understanding of the important relationship between motivation and performance in academia.

Data availability

The data set for this study is available from the corresponding author upon reasonable request.

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We are thankful to the R-QUEST team for input and comments to the paper.

The authors disclosed the receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Research Council Norway (RCN) [grant number 256223] (R-QUEST).

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Silje Marie Svartefoss

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Nordic Institute for Studies in Innovation, Research and Education (NIFU), Økernveien 9, 0608, Oslo, Norway

Silje Marie Svartefoss & Dag W. Aksnes

Department of Political Science, University of Oslo, 0315, Oslo, Norway

Jens Jungblut & Kristoffer Kolltveit

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All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Silje Marie Svartefoss, Jens Jungblut, Dag W. Aksnes, Kristoffer Kolltveit, and Thed van Leeuwen. The first draft of the manuscript was written by all authors in collaboration, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Svartefoss, S.M., Jungblut, J., Aksnes, D.W. et al. Explaining research performance: investigating the importance of motivation. SN Soc Sci 4 , 105 (2024). https://doi.org/10.1007/s43545-024-00895-9

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Ethical perspectives regarding Euthanasia, including in the context of adult psychiatry: a qualitative interview study among healthcare workers in Belgium

• Monica Verhofstadt 1 ,
• Loïc Moureau 2 ,
• Koen Pardon 1 &
• Axel Liégeois 2 , 3  

BMC Medical Ethics volume  25 , Article number:  60 ( 2024 ) Cite this article

Introduction

Previous research has explored euthanasia’s ethical dimensions, primarily focusing on general practice and, to a lesser extent, psychiatry, mainly from the viewpoints of physicians and nurses. However, a gap exists in understanding the comprehensive value-based perspectives of other professionals involved in both somatic and psychiatric euthanasia. This paper aims to analyze the interplay among legal, medical, and ethical factors to clarify how foundational values shape the ethical discourse surrounding euthanasia in both somatic and psychiatric contexts. It seeks to explore these dynamics among all healthcare professionals and volunteers in Belgium.

Semi-structured interviews were conducted with 30 Dutch-speaking healthcare workers who had encountered patients requesting euthanasia for psychiatric conditions, in Belgium, from August 2019 to August 2020. Qualitative thematic analysis was applied to the interview transcripts.

Participants identified three pivotal values and virtues: religious values, professional values, and fundamental medical values encompassing autonomy, beneficence, and non-maleficence, linked to compassion, quality care, and justice. These values interwove across four tiers: the patient, the patient’s inner circle, the medical realm, and society at large. Irrespective of their euthanasia stance, participants generally displayed a blend of ethical values across these tiers. Their euthanasia perspective was primarily shaped by value interpretation, significance allocation to key components, and tier weighting. Explicit mention of varying ethical values, potentially indicating distinct stances in favor of or against euthanasia, was infrequent.

The study underscores ethical discourse’s central role in navigating euthanasia’s intricate landscape. Fostering inclusive dialogue, bridging diverse values, supports informed decision-making, nurturing justice, and empathy. Tailored end-of-life healthcare in psychiatry is essential, acknowledging all involved actors’ needs. The study calls for interdisciplinary research to comprehensively grasp euthanasia’s multifaceted dimensions, and guiding policy evolution. While contextualized in Belgium, the implications extend to the broader euthanasia discourse, suggesting avenues for further inquiry and cross-cultural exploration.

Peer Review reports

Medical assistance in dying is allowed in 27 jurisdictions in the world and if so, it is mainly restricted to the terminally ill (see BOX 1 in OSF) [ 1 ]. Medical assistance in dying entails that a patient’s death request can be granted via euthanasia , defined as the intentional termination of life by a physician at the patient’s explicit request, which is currently decriminalised in Australia, Belgium, Canada, Colombia, Luxembourg, the Netherlands, Spain, and New Zealand. In addition, it can be granted by means of assisted suicide , also defined as the intentional termination of life by a physician at the patient’s explicit request, but in these cases, the lethal drugs are provided by a physician and self-administered by the patient at a time of the latter’s own choosing (e.g., Australia, Austria, Switzerland, United States). In some countries, not only a physician, but also a nurse practitioner can be involved in the procedure (e.g., Canada, New Zealand).

Euthanasia has been legal in Belgium since 2002, positioning the country as a pioneer in this field with two decades of euthanasia practice [ 2 ]. According to Belgian legislation, individuals can be deemed eligible for euthanasia when they are, among other criteria, in a medically futile state characterized by constant and unbearable physical or psychological suffering resulting from a serious and incurable disorder caused by accident or illness [ 2 ]. Belgium is one of the few countries that does not exclude people from assisted dying who suffer predominantly from irremediable psychiatric conditions (see BOX 2 in OSF for all legal criteria in Belgium). As regards prevalence, euthanasia accounted for up to 3.1% of all registered deaths in 2023 in Belgium [ 3 ]. Whereas most registered euthanasia deaths concerned the terminally ill (approximately 84%), predominantly suffering from cancer, only 48 or 1.4% of euthanasia deaths concerned non-terminally ill adults predominantly suffering from psychiatric conditions. Since euthanasia was legalised, in total 457 such euthanasia cases have been reported, less than 1.5% of all registered euthanasia cases in Belgium [ 3 , 4 , 5 , 6 , 7 , 8 , 9 ].

However, this is only the tip of the iceberg, as there is reason to believe that the total number of requests for euthanasia in Belgium (regardless of outcome), is at least 10 times higher. For instance, recent annual reports from Vonkel, an end-of-life consultation centre in Belgium, revealed around 100 unique patients per year applying for euthanasia for psychiatric reasons. Less than 10% of those euthanasia requests were reported to be carried out [ 10 , 11 , 12 ]. Moreover, a recent survey among psychiatrists working in Flanders, Belgium, revealed that 8 out of 10 respondents had been confronted at least once throughout their career with patients requesting euthanasia for psychiatric reasons [ 13 ]. The survey also showed that, although three-quarters are supportive of not excluding the option of euthanasia for this specific patient group [ 14 ], the majority is hesitant to be actively engaged in a euthanasia procedure [ 13 , 14 ]. The literature ascribed the reluctance to the complexity of euthanasia assessment in this patient group, inherently high in professional and emotional demands [ 15 , 16 , 17 , 18 , 19 ]. The complexity was for a large part described in terms of the practical considerations surrounding euthanasia requests and assessment, e.g., whether and when these patients can meet the legal criteria.

There is thus reason to believe that healthcare workers’ overarching ethical considerations influence their attitudes on euthanasia in general and in the context of psychiatry specifically, and their practice. As empirical in-depth studies are lacking, this area is largely understudied. To date, only two recent qualitative studies among Dutch physicians emphasised the value-based reasons for euthanasia decision-making, but did not [ 20 ] or only summarily [ 21 ] scratch the specific context of psychiatry. Another recent qualitative study among Dutch physicians, including psychiatrists, emphasized the value-based reasons for supportive attitudes towards euthanasia, e.g. the value of self-determination, compassion, fairness, and suicide prevention, versus the value-based reasons for not supporting euthanasia, e.g. the mission of medicine of hope and healing [ 22 ]. Furthermore, a recent systematic review described the main ethical challenges surrounding the euthanasia practice in the context of psychiatry [ 23 ]. However, this ethical debate was mainly concentrated on the permissibility and implementation of euthanasia from a practical-clinical point of view, e.g. whether euthanasia in the context of psychiatry should be permitted, and why the legal requirements can (not) be adequately embedded in the field of psychiatric medicine. How practically and juridically relevant these considerations may be, they remain the outcome of ethical values being weighed up, which means that no single consideration can be considered ethically irrelevant, neutral, or value-free. Moreover, the review was based on articles that have been selected in a timeframe in which sound empirical data regarding euthanasia in the context of psychiatry were largely lacking.

Also, the overarching value-based views of other professionals involved in psychiatric euthanasia practice have not yet been studied. This is striking, as a recent Belgian survey study revealed that that half of the psychiatric nurses (53%) are frequently and directly confronted with such euthanasia requests [ 24 ], but in-depth insights into their value-based views are lacking. Furthermore, there are many more formal caregivers, other than psychiatric nurses, involved in euthanasia assessment procedures. End-of-life centres employ e.g., paramedical personnel such as psychologists, psychiatric nurses for intake and registration purposes, and well-trained volunteer personnel such as buddies, entrusted with the task to help these patients to cope with the euthanasia procedure. In addition, rehabilitation-oriented support groups (REAKIRO) were established to help these patients (and their relatives) in walking the tightrope of life and death [ 25 ]. All of these caregivers may also have an unacknowledged but influential role in these euthanasia assessment procedures, and therefore, an interesting perspective to reflect on euthanasia legislation and practice. Gaining insight into healthcare workers’ ethical considerations related to euthanasia in psychiatry will lay bare the ethical foundations underlying current practice and is important to inform and spark further debate around this extremely thorny issue, and to promote sound ethical analysis.

Hence, the purpose of this research is to explore healthcare workers’ ethical considerations regarding euthanasia in general and euthanasia concerning adults suffering predominantly from psychiatric conditions in particular.

Theoretical research framework

Our research was guided by the framework of ‘critical social constructionism’ [ 26 ], providing a nuanced perspective that diverges from the acknowledgment of an objective reality. This approach intricately examines the interplay of personal, social, and societal dimensions within the phenomena under study. It necessitates an acknowledgment of the layered complexities influencing our understanding of phenomena such as euthanasia, a notion supported by both our prior research [ 27 ] and additional studies [ 23 , 28 ].

Our interpretation of the data was informed by social constructionism, which recognizes the role of internalized societal norms in shaping individuals’ perceptions of reality over time. Furthermore, we embraced a contextualist epistemology [ 29 ], acknowledging the contextual influence on knowledge formation among both researchers and participants. This methodological approach aimed to capture diverse lived experiences (e.g., diversity in clinical and euthanasia trajectories) and perspectives, including varied attitudes toward euthanasia based on specific relationships (e.g., professional healthcare worker or volunteer). Consequently, we maintained a reflexive stance regarding the potential impact of our individual experiences and identities on our analyses and interpretations, as elaborated in the Ethical Considerations section.

Study design

The qualitative research design consisted of semi-structured face-to-face interviews with healthcare workers in Flanders and Brussels, Belgium.

Participants

All participants were Dutch-speaking and had at least one concrete experience with euthanasia requests and procedures concerning adults with psychiatric conditions in the period 2016–2020, either as professional or volunteer healthcare workers. We adopted a broad recruitment approach, with a particular focus on all healthcare providers directly involved in medical practice rather than in managerial or policy-making roles. No further exclusion criteria were employed.

Recruitment and interview procedure

Purposive sampling was used to ensure diversity and heterogeneity in terms of: participants’ affiliation with institutions holding different stances on ‘euthanasia and psychiatry’; being to a different extent confronted with these euthanasia procedures as regards the amount of experiences (sporadically versus regularly); the nature of the experiences (e.g. confronted with or engaged in euthanasia procedures that were still under review or that had been rejected, granted, performed or withdrawn); and their specific role as professional or volunteer healthcare worker.

Participants were recruited via assistance of our contact persons at: (1) the end-of-life consultation centre Vonkel; (2) the Brothers of Charity; (3) the rehabilitation-oriented centre REAKIRO in Louvain; and (4) the Review Belgian Euthanasia Law for psychological suffering (REBEL) group, a group of Belgian physicians (e.g. psychiatrists), therapists (e.g. psychologists) as well as academics who express their concern on euthanasia in the context of psychiatry via the media. Participants were also recruited via a notice on the sites, newsflashes and/or in the online newsletters of LEIF (Life End Information Forum), Recht op Waardig Sterven (the Flemish Right to Die with Dignity Society) and Vlaamse Vereniging voor Psychiatrie (Flemish Psychiatric Association).

Potential participants contacted MV or a study assistant by phone or mail. The patients were then given an information letter and informed consent form that consisted of 2 main parts. All interviews were conducted by MV or a study assistant, who both have experience in conducting interviews on end-of-life topics. Interviews were held at the participant’s location of choice, except for five interviews which were held online via video call by Whereby 14 due to the Covid-19 crisis lockdown regulations. Interviews lasted between 55 min and 2 h, and were audio recorded (the online video interviews were recorded by Whereby’s software and immediately transferred in an mp.3 format).

Measurements

The interview guide (see OSF) contained the following consecutive questions of importance to the present report: (1) What is your personal stance regarding euthanasia as a legalised medical end-of-life option? and (2) What is your personal stance regarding euthanasia in the context of psychiatry?

Data management and analysis

We used a model of sampling-based saturation, namely inductive thematic saturation, that relates to the emergence of new themes (defined as 7 consecutive interviews without new themes) [ 30 ]. We continued to recruit and conduct interviews so that the sample would be heterogenous in terms of socio-demographics, clinical profile, and clinical setting. In particular, our focus was on recruiting individuals with the following profiles: psychologists, male psychiatric nurses and moral consultants/spiritual caregivers employed in residential psychiatric settings ( n  = 5).

All interviews were then transcribed verbatim and de-identified by the interviewers.

We made use of hybrid inductive and deductive coding and theme development by means of a 2-staged process. Stage 1 consisted of an inductive data-driven thematic coding procedure.

We made use of these four phases; (1) identification and coding of all transcripts; (2) the placing of the codes in subthemes, i.e., arguments in favour versus critical concerns; (3) the placing of these subthemes in overarching main themes, i.e., different stakeholders (patient/medicine/society); (4) the comparison and discussion of the findings (with all co-authors). In addition to the inductive approach, we also used a deductive, theory-driven template approach during stage 2. We made use of these four phases; 1) the development of an ethical interpretation framework (see OSF). The framework consists of four key concepts, each involving a multitude of ethical concepts: (a) ethical theories and methodologies, (b) ethical values, (c) basic ethical virtues, and (d) dialogue/decision making ethics; 2) the identification of codes that fit the ethical framework and the theory-driven renaming of these codes; 3) the placing of some of the subthemes in an additional main theme; and 4) the comparison and discussion of the findings (with all co-authors).

Ethical considerations

The research team comprised two experienced clinical psychologists, one specializing in euthanasia within the cancer patient population and the other skilled in conducting interviews on this sensitive topic within the adult psychiatric context. Additionally, two ethicists with expertise in assisted dying, including euthanasia, were part of the team. Some authors also have backgrounds in psychiatric practice, including outpatient and residential settings, while others bring expertise through personal experiences. Furthermore, all contributing authors have personal and/or professional connections with individuals navigating death ideation, offering diverse perspectives on euthanasia. Additionally, some authors hold religious beliefs, while others maintain a more agnostic stance. These perspectives vary depending on the predominant viewpoints adopted—whether that of the patient, a close relation, a clinician, an ethicist, or policy stances. To mitigate potential undue influence on data interpretation, three team assemblies were convened. These sessions served to share firsthand encounters from interviews and their outcomes, fostering reflection and deliberation among team members. This proactive measure was implemented to prevent both personal and professional biases from affecting the interpretation of the data.

The main characteristics of the 30 participants are listed in Table  1 . The sample consisted of 16 physicians, 7 other care professionals (ranging from psychiatric nurses to mobile support teams), and 7 volunteers, all of whom were engaged in one or more euthanasia procedures predominantly based on psychiatric conditions.

The participating physicians held various roles regarding the handling of euthanasia requests:

1 physician refused to discuss the request with the patient on principle grounds.

7 physicians managed the clarification of euthanasia requests from their own patients or referred them to colleagues for further clarification.

10 physicians provided one of the two legally required formal advices or an additional advice on the euthanasia request.

5 physicians performed the act of euthanasia.

3 physicians held a more normative, dissuasive stance against euthanasia in the context of psychiatry but were willing to explore and discuss the euthanasia request with the patient.

The sample further included 14 non-physicians, among them members holding one or more roles:

2 members were part of mobile teams providing psychiatric care and support in the patient’s home setting.

3 were psychiatric nurses working either in a general hospital or in a psychiatric residential setting.

2 were Experts by Experience, individuals with a history of mental distress trained to provide support for individuals new to the euthanasia procedure and/or rehabilitation approaches.

3 were buddies, individuals entrusted with assisting and supporting the patient throughout the euthanasia procedure.

3 were moral consultants/spiritual caregiver, tasked with offering various forms of existential guidance and support to patients considering euthanasia, including religious, moral, and/or other perspectives.

5 were consultants at end-of-life information and/or consultation centers responsible for patient intake.

Participants’ ethical considerations regarding euthanasia, in the broadest context of medicine

As can be seen from the coding structure in Table  2 , we ordered coding categories on the level of 1) the individual patient, 2) the patient’s social inner circle, 3) the (para)medical field, and 4) the society. Note that words used verbatim by the interviewees (often interview fragments instead of quotes, as to better illuminate the complexities and nuances of interviewees’ first-hand lived experiences) from the transcribed interviews are incorporated that provide both additional insightful details and reveal the at times interwoven nature of the analysed codes.”

The level of the individual patient

On the level of the individual patient, the following five ethical considerations were distinguished: (1) autonomy, (2) dignity, (3) quality of life, (4) compassion, and (5) the meaning and transformative value of suffering.

First, Autonomy was a recurrent theme in all the interviews. Some participants expressly valued individual autonomy , and more specifically its following two underpinning characteristics: (1) self-determination in terms of the fundamental right for each individual to direct the course of one’s own life, which also includes ‘taking control over the timing and circumstances of one’s end-of-life’, and (2) freedom of choice , as they strongly believed that individuals are free to choose what meaning and purpose they assign to their lives. According to them, as each individual should be enabled ‘to live according to one’s own value system’, so should the ending of one’s life also be congruent with one’s own value system. Hence, in their opinion, euthanasia should remain ‘one of the many options to die’.

Other participants called this individualistic approach of autonomy ‘unrealistic’ or even ‘delusional’, as it shies away from: (1) the relational account of autonomy, in which a true autonomous decision was seen as the outcome of a decision-making process which is shaped by individual, social and contextual components, and (2) the internalised downside of autonomy, as the feeling underpinning many euthanasia requests, namely ‘not wanting to be a burden to others’ may lead to ‘self-sacrifice’ and ‘the duty to die’ under the false pretence of autonomy. In addition, some pointed to the power of susceptibility and subliminality, as human beings are subliminal creatures whose behaviour is continuously influenced on both a subconscious and even conscious level. Consequently, internalised pressure cannot be excluded when a patient requests euthanasia. One psychiatrist even stated that ‘ there exists no such thing as a free will, as human beings are always manipulated in many areas of human life and functioning’ .

“I believe that that there should still be places in society where you could die without considering euthanasia. While many people today are facing dementia, and you almost must…. Interviewer: Yes. “Yes, like how should I deal with it? Should I exit life before it becomes inevitable dementia or something similar? Because I think that in a neo-liberal society, many people internalize the idea that at some point, it becomes a moral duty to step aside. They feel obliged to eliminate themselves. Self-elimination. In a neo-liberal model, as long as you can keep up and contribute, everything is fine. But if you can’t keep up, well, if you cannot fully exercise autonomy, then… Essentially, you should hold your honour and step aside.” (spiritual caregiver)

Second, participants mentioned euthanasia as an option to die with dignity . For those in favour of the Law, euthanasia is considered (1) a ‘dignified way of dying’ when everything that leads up to death, including individual, medical, and social needs and expectations, is consistent with one’s own sense of integrity, belief-system and lifestyle, and (2) a ‘good death’, when referring to the literal meaning of the concept ‘euthanasia’, namely ‘a soft and gentle passing’. Other participants raised concerns on the reference to euthanasia and dignified dying in the same breath, as if “ other ways of dying are not or less dignified ”.

Third, the value of quality of life underpinned the arguments made in favour of the Law on Euthanasia, as (1) life itself should not be prolonged unnecessarily, (2) meaningless suffering should be prevented, and (3) a good life should pertain to all stages in life, from the very beginning until the very end, which is feasible if quality of dying circumstances can be guaranteed. As one buddy stated: “ Living a full and good life implies dying a good death ”. Other participants made use of this value underpinning their argument against euthanasia, based on (1) the “protect-worthiness” of life itself and (2) the suffering that must be considered an inherent feature of the human condition.

Fourth, and seamlessly fitting with the former value, divergent courses also emerged regarding the aspect of how to deal with suffering . Some participants were in favour of euthanasia out of compassion in terms of (1) bringing a kind of relief to the patient when providing her the prospect of an end to the suffering and (2) ending the suffering once it has become ‘useless and meaningless’ and ‘disclosing the limits of the carrying capacity of the self’. Some participants referred to the insufficient degree of quality of life in some patients and valued euthanasia as sort of ‘ compensation for a life gone wrong’.

Others considered the option of euthanasia as compromising patients’ ability to accept, bear and cope with suffering experiences by offering the opportunity ‘to quickly resign from it’.

Some participants referred to the dynamic features and hence, the potential enriching value of suffering. They believed that one can and must revolt against the perception of pointless suffering, as suffering may offer unique opportunities to achieve personal growth through the realisation of self-actualising tendencies amidst the suffering and though all kinds of hardship and adversity in life. Therefore, the real challenge is to support the sufferer to (re)gain the ability to transform the suffering by means of redefining, accepting, and making sense of it. One psychiatrist referred to the Myth of Sisyphus and stated:

A rock that must be pushed up the mountain, which is terrible, and then Sisyphus lets the rock fall back down, and he must start all over again. And what is the purpose of that suffering? Pushing the rock up? It’s absurd, really, but still. I find it so vital, human, uh, yes. That is something that inspires me enormously and often makes me, well, yes, vitality and suffering, suffering is inherent to being, of course, and one can suffer, of course, that is very serious suffering, terrible suffering. I know that. But well, accept suffering, right? I’m not glorifying suffering, no, I don’t belong to that category. Some Catholics do that; the suffering of Christ, we must… No, not at all. Suffering is inherent to life. Interviewer: It’s just more bearable for some than for others. Interviewee: Then it’s our task to make it more bearable. Yes. (…) Look, that sets a dynamic in motion. By dynamic, I also mean movement. A euthanasia request is often rigid. I am for movement. That’s what Eastern philosophy teaches us too, that everything moves, and we must keep that movement and that the question may change or that people may also discover things. Or indeed, a suffering that is even more exposed, but on which one can then work. There is still much to do, yes, before the ultimate and final act of euthanasia, by a doctor for all sakes, should be considered. (psychiatrist)

The level of the patient’s inner circle

On the level of the social inner circle, the following three ethical considerations were distinguished: (1) involvement, (2) connectedness, and (3) attentiveness.

Some participants stressed that euthanasia can only be a soft and thus ‘good’ way of dying, if the patient’s social inner circle can be involved in the euthanasia procedure and if sufficient support to them can be provided. All participants in favour of the legal framework on euthanasia echoed the importance of the social circle being involved in an early stage of the euthanasia procedure, as the prospect of the end of life may challenge a patient’s ability of staying and feeling connected . If the euthanasia request is to be carried out, it offers a unique opportunity for both the patient and her social inner circle of consciously being present and sharing goodbyes. Other participants considered this reasoning as potentially deceiving, as concern was raised regarding the trap of false assumptions, in terms of words being left unspoken and the bottling up of one’s own needs for the sake of the other.

As the third doctor, I was asked to provide advice about someone, and the [adult child] was present, a charming [adult child]. The [adult child] was also very friendly but didn’t say much. The man explained why he himself wanted euthanasia and so on. To be honest, at first, I thought, “Well, this won’t take long,” because there were many arguments and reports I had received, but as the conversation went on, I started to feel something different. It turned into a very long conversation, during which the [adult child] also had their say. In short, the father believed that he couldn’t burden his children. He was a kind man who knew what he wanted, and his children were inclined to follow his idea, to follow his vision. However, the children thought, “Yes, we are actually going to agree with our father, and we’ll allow it,” but deep down, they still wanted to take good care of him. The father didn’t want them to take care of him, and there were many other things, but after that long conversation with the [adult child] and the father, and everything else, like, “We’ll still celebrate Christmas together,” there was a complete turnaround. The other physicians involved accepted this very well, and they said, “Okay, for us, it wasn’t clear. (physician)

In addition, concern was raised regarding the inner circle’s respect of individual patient autonomy and freedom of choice outweighing their r esponsibility and accountabilit y to take care for one another and to act according to all these subjects’ best interest.

Consequently, divergent discourses on the virtue of attentiveness emerged. Whereas for some, the euthanasia procedure may offer a unique opportunity for both the patient and her relatives to be better prepared for death and for the bereaved to better cope with grief, others pointed to the inner circle’s continued grappling with unresolved feelings and perceived helplessness after such a fast-track to death.

Yes, and sometimes I also see people, family members after such euthanasia, yeah, I’ve experienced it several times. They say things like, “Yes, I supported it, but I didn’t know it would affect me like this,” you know? They try to convince themselves, saying, “It was good, it was good, and I stand behind it.” Yeah, you are hardly allowed to do otherwise, but you feel that inner struggle in them, you know? Like, “Was it really okay?” But you can’t question it because you think, “Poor them,” but you still feel it, like, “How sad, how sad. (psychiatrist)

The level of medicine

The following five ethical considerations were distinguished: (1) professional duties, (2) responsibility to alleviate suffering, (3) subsidiarity, (4) professional integrity, and (5) monologic versus dialogic approaches.

First and as regards professional duties, it was (only) reported by some physicians that the physician’s duty is “ to provide good care, which includes good end-of-life care ”. Hence, physicians are the ones who should have euthanasia “as a tool in their end-of-life toolbox”. Others held a different stance and referred to Hippocrates’ Oath when stating that the physician’s duty is to save life at all costs.

Second, all the participants agreed that clinicians have the responsibility to alleviate the patient’s suffering . Whereas some welcomed the option of euthanasia due to the experienced limits of palliative care, that in some cases is deemed an insufficient response to intractable suffering, others stated that euthanasia is not needed as physicians have proper palliative care in their toolbox to alleviate all kinds and degrees of suffering.

Third and as regards the subsidiarity principle , opinions differed on the use of a palliative filter, i.e., whether a consultation with specialist palliative care units should precede euthanasia.

Fourth and as regards professional integrity , some participants relativized the physicians’ executive autonomy. As one psychiatrist stated “because in the end, we do not decide whether someone might die or not. We only decide whether we want to be of help and assist in it.” All the ones in favour of the current legal framework echoed that as physicians are the ones that have better access to the lethal drugs and the technical expertise to end the patient’s life in more efficacious ways than non-physicians, they should remain entrusted with euthanasia assessment procedures. Others (only physicians) criticized the Belgian legislator for placing too much power in the physicians’ hands so that the latter “ can play for God instead of using their pharmacological and technical know-how to save lives ”.

Fifth, and as regards the decision-making process, most participants valued the ethical principle of shared decision-making between the patient and her physicians, and some even preferred a triadic dialogue in which the patient, her relevant health carers and her social inner circle is involved in euthanasia assessment procedures. For most of them, this type of extended or relational autonomy is considered as best clinical euthanasia practice, especially when death is not foreseeable. According to some non-physicians, a strict dyadic patient-physician approach is to be preferred when death is reasonably foreseeable in a patient with sufficient mental competence. In this event, no intermediary should be tolerated as the medical secret is considered ‘sacred’. One participant elaborated further on this strict dyadic approach and said:

“ But actually, in my opinion, the request for euthanasia is something between two people. So…. Interviewer: The singular dialogue? “So, a relationship between the patient and the doctor, yes. That’s what I think. And I do understand that the legislation exists, primarily to protect the doctor against misuse or accusations, because euthanasia used to happen before too, but in secret. But for me as a doctor, it would be enough if a patient whom I’ve known for years, followed for years, maybe 20 years, 30 years, 40 years, and who is terminally ill, asks me in private, ‘I want it.’ For me, it doesn’t need to be more than that for me to say, ‘yes.’ So, there’s no need for a whole set of legislation, except of course to protect myself, maybe from the heirs who might have a different idea about it, yes, but I find it beautiful. And they say, you know, our legislation is such that you can write your euthanasia request on the back of a beer coaster and that’s enough, you know? But how it used to be, euthanasia happened just as well, that’s what I heard from my older colleagues. But it was done in private. Actually, that is the most beautiful sign of trust between a doctor and a patient. ” (Physician and consultant)

Others, all physicians without a favourable stance on euthanasia, considered medical paternalism morally justified in the end-of-life context, as (1) physicians have more intimate knowledge of the patient and are thus best placed to act in the patient’s best interests, (2) only the independent evaluation from well-trained and experienced physicians may rule out external or internalized pressure from the patient’s social inner circle, and (3) some patients may show impaired decision-making capacity when confronted with the end of life.

The level of society

As regards the origins and impact of euthanasia legislation on the level of society, the following four ethical themes emerged: (1) protection, (2) dignified dying, (3) solidarity, and (4) distributive justice.

First and as regards protection , some participants valued the existence of a legal framework for an ‘underground’ practice before 2002. According to them, this framework was highly needed to protect the patient against malicious practices and the physician against being charged for murder when ensuring herself that all the legal requirements are met.

So, I believe that it should be well-regulated in a state. In a country, it should be well-regulated. You can either be in favour of it, have reservations, or question it, but when it happens and many people want it or think it’s okay, then it should be regulated. And those, like me, who may be against it, have doubts about it, or wonder, “Is this really necessary?” I would say, or “Does it align with our purpose?” the existential comments that you can make about it, we must accept it because it would be terrible if it, well, it would be even worse if it happened in the underground, like before those laws were established, that’s, yeah. So, I think the laws should exist. Whether I would have made those laws is a different question, or whether I would vote for the parties in parliament that, you know, that support it, that’s another question, but apparently, here in North-western Europe, the need for those practices exists, and it should be regulated properly. And yes, it shouldn’t be left to amateurs or something like that, that’s not the intention. Yes, well, it serves to protect, both in terms of health and to ensure that it doesn’t become a business, of course. I’d prefer it to be integrated into the healthcare system rather than turning it into a profit-driven and exploitative affair for some others. So, that’s…. (psychiatric nurse)

Critical concerns were raised on the lack of protection of the most vulnerable people, i.e., the mentally ill and the elderly. Some of them referred to the amended Law in 2014, that also allowed minors to die by means of euthanasia – be it under more strict circumstances, inter alia, when based on unbearable physical suffering resulting from a medically terminal condition – and feared that the Law will be amended again, so it would no longer exclude the people suffering from dementia or for groups without serious incurable illness, e.g., the elderly with a perceived ‘completed life’.

Second, a major societal shift in thoughts regarding what constitutes dignified dying was reported. For some, the Law on Euthanasia reflects a nascent movement of death revivalism, in terms of people reclaiming control over their dying process. In this respect, euthanasia is deemed a counterreaction to the former dominant paternalistic attitude in Western society to systematically marginalise conversations on death and dying, e.g., due to the mechanisms of denial, avoidance, and postponement, and with the line between life and death increasingly held in physician’s hands, which has left many people ill-equipped to deal with dying and death. The current broad public support for euthanasia is seen as the individual patient taking back the decision-making process of dying and death in her own hands. They further considered euthanasia as a logical consequence of living an artificially prolonged life due to e.g., advances in medicine, that have not necessarily enhanced the quality of life.

“ One thing I also consider is that a part of our lives is artificially prolonged, you know. We don’t live longer because we are healthier, but because we have good pills or better surgical procedures, so we can afford to buy our health. So that part of life is still valuable to me, it’s not less valuable, but it’s artificially extended. So, I think we should keep that in mind, that we can prolong something artificially and maybe even go beyond a point where it no longer works. Interviewer: Beyond the expiration date? That’s what I was looking for (laughs). So, in that sense, I believe we should keep in mind that we can artificially extend something and then maybe, even if it’s just that artificial part, stop or be allowed to stop when the person no longer wants to, I think that makes perfect sense. ” (psychiatrist)

Others provided arguments against the increased death revivalism, referring to euthanasia as a ‘fast-track to death’ resulting in ‘the trivialisation of death’ in the face of formerly known and experienced Art of Dying. For instance, the current societal tendency to avoid suffering and the fear of dying may lead to patients (too quickly) resigning from a slow track to death, in which there is time to e.g., hold a wake.

But I won’t just grab a syringe, fill it up, and administer a lethal injection, you know? I follow the symptoms. And if they become uncomfortable, then I’ll increase the dosage so they can rest peacefully and not have to suffer. That’s what I call a dignified death. And if the family can be present, sometimes it takes a while for them to arrive, and they’ll say, “Come on, even a dog is not allowed to suffer that long.” Meanwhile, the person is just lying peacefully. But that too. Everything should, even that, should progress, and there isn’t much time left for vigil and, yes, I don’t want to romanticize it, but sometimes you see so much happening between families. There’re all kinds of things happening in those rooms, with the family, reconciliations being made. Memories being shared. “Oh, I didn’t know that about our father.“, an aunt walking in and telling a story. Well, so much still happens. I don’t want to romanticize it, but to say that all that time is useless, that’s not true either. And at the farewell, there’s always, the time, you think there’s time for it, but people are still taken aback when an infusion is given, that it can happen within a minute, even if they’re behind it and have been informed beforehand. Just a minute… and it’s done. The banality of death, it’s almost like that. (psychiatrist)

These and other participants also criticised ‘the romanticised image of euthanasia’, that masks the economics of the death system, taking financial advantage of ‘patients not wanting to be a burden to society’.

Third and consequently, divergent discourses on the value of solidarity emerged. For some, decades of civic engagement pointed to the need of death revivalism and patient empowerment, that resulted in the current legal framework. Others strongly criticised the lack of solidarity underpinning the legal framework on the following three counts: 1) the emphasis on patient autonomy is deemed a ’societal negligence in disguise’, as citizens are no longer urged to take care of others, 2) equating autonomy and dignity in euthanasia debates leads to the trap of viewing the ill or the elderly as having ‘undignified’ lives, and 3) wealth over health has become the credo of the current neoliberal society, as the Law on Euthanasia discourages further investments in health care but settles on the ‘commodification’ of health care.

“ I believe that we should take care of each other and especially care for the most vulnerable in our society. We shouldn’t just leave them to fend for themselves. I don’t think the motto should be all about autonomy, autonomy, and then the flip side, saying, “figure it out on your own.” That’s not acceptable. We have a responsibility to take care of each other. We are meant to care for one another. In biblical terms, we are each other’s keeper, right? “Am I my brother’s keeper?” Yes, I am my brother’s keeper. I must take care of each other, take care of others. So, I think in the long term, speaking maybe 100 years from now, people might say, “Sorry, that was a real mistake in the way they approached things.” I don’t know, but that’s looking at it from a meta-level, as historians call it, “longue durée,” and combining it with a neoliberal model, right? Neoliberalism and euthanasia thinking, it would be interesting to do a doctoral thesis on how they fit together perfectly. How they fit together perfectly… They are no longer patients, they are no longer clients, and I also don’t like the word ‘clients.’ They have become ‘users’. Sorry, but that’s our Dutch translation of the English word ‘consumers’ right? It’s like buying Dash detergent or a car; you buy care, just like the Personal Budget for people with disabilities. You buy your care, sorry, this goes against the very essence of what care fundamentally is. Care is a relationship between people; it’s not something you buy. It’s not something you say, “It’s a contract, and I want that.” It doesn’t work like that. [raising voice] The burden is on society. [end of raising voice] And when the money runs out, you have nothing left. If you can’t buy it, then it doesn’t come. “Here’s your little package,” that’s how it’s translated, and it’s always a hidden cost-cutting operation, let’s be very honest about it, a nice story, but it’s always a hidden cost-saving measure. I see right through that story, but well, big stories are always told, and they are always about saving money. [raising voice] It doesn’t bring anything, right? [end of raising voice] People’s self-reliance, they must stay at home, etc. How many people would benefit from going to a care centre, not at the end of their lives, but just because they feel totally lonely at home, but they can’t get in because nobody wants them there, as they don’t bring any profit. ” (spiritual caregiver)

Fourth, critical concerns were expressed concerning the lack of (distributive) justice due to the many existing misperceptions and misconceptions regarding medical end-of-life options that need to be uncovered. For instance, many people would be unaware of euthanasia and palliative sedation can both be dignified ways of dying, with euthanasia functioning as a fast-track and palliative sedation functioning as slow track to death. Also, the evolution of death literacy was contested: there was a sense that patients did not become more death literate, as many of them have insufficient knowledge of the content of the many end-of-life documents in circulation.

Yeah, I mean, you see, and I hear many people saying, “My papers are in order.” I won’t say every day, but I hear it almost every day, “My papers are in order.” That’s also something. It’s an illusion of control, right? Because what papers are they talking about? “My papers are in order.” When you ask them about it, they themselves don’t really know what that means, some kind of ‘living will’, ‘an advance care plan’, but yeah, with all… A living will or advance care plan is not that simple either, and then they think, “Oh, if I get dementia and I don’t recognize anyone anymore, they will give me an injection.” Ah yes, but then we are in a different domain, and that’s a whole other… But yeah, people are not well-informed, I find. They have totally wrong ideas and sometimes fear the wrong things, don’t know what is possible and what is not, and they also let themselves believe all kinds of things. Well, there are many misconceptions out there. (psychiatrist)

Participants’ ethical considerations regarding the additional procedural criteria for people with a non-terminal illness

As can be seen from the coding structure in Table  3 , participants made use of the principle justice to motivate their stance on additional (procedural) criteria that people with a non-terminal illness must meet before euthanasia can be carried out, in comparison with people with terminal illness. Those in favour of the additional procedural criteria referred to the differences between the terminally ill and the non-terminally ill regarding the aspect of content (i.e., the difference between general life expectancy and healthy life expectancy) and the aspect of time (i.e., the probability verging on certainty concerning the terminally ill versus the rough estimation concerning the non-terminally ill). Some of them also referred to the legal proceedings and stated that the Law was meant only for people with terminal illnesses to die by means of euthanasia. Others were of the opinion that it concerns only an arbitrary difference due to 1) the vagueness of the concept ‘naturally foreseeable’, i.e., suffering from a terminal illness, and the subjectivity of the calculated course and prognosis of e.g., degenerative somatic illnesses and dementia. A few participants said that this is beside the question, as one’s individual carrying capacity trumps the course and prognosis of an illness.

Participants’ ethical considerations regarding adults with psychiatric conditions

As can be seen from the coding structure in Table  4 , when asked about participants’ stances on euthanasia in the context of psychiatry, we distinguished value-based themes at the level of (1) the patient, (2) the field of psychiatry, and (3) society in general.

The level of the patient

Justice was the main value-based principle that emerged at the level of the patient. Participants in favour of not legally amending additional procedural criteria in the context of psychiatry stated that every patient with a non-terminal illness should receive equal end-of-life care options. The main counterargument given concerned the differences in patient profile, as some questioned whether the mentally ill can meet the legal criteria or stated that extreme caution is needed and thus additional criteria are in place due to the factor of e.g., ambiguity, impulsivity, and manipulation in the mentally ill.

“I find, the way the procedure is conducted for psychiatric suffering, I find it only natural that they handle it more cautiously because it’s indeed less… It’s not so easy to determine everything, is there really no other option left? And then I understand somewhere that time must be taken to investigate all of that. Because some of these people can be very impulsive, and that impulsivity needs to be addressed somewhere, of course. You also have people who can use their setbacks in the sense of, ‘I’ve been through all that, so I deserve euthanasia.’ And those are the people you need to single out because that’s just… I think those are also people who, with the necessary guidance, can still get out of it. Do you understand? It’s a form of self-pity, in a way. I think there might be resilience there, but they haven’t tapped into it themselves yet; it’s a kind of deflection or something. People with a history of, who say ‘I’ve experienced this and that, so I don’t need it anymore, just give me euthanasia, I deserve that. I’ve been through all that.’ While maybe, if they see, that’s still worth something to me, who knows, maybe that can still happen. They’re people who give up a little too quickly.” (Moral consultant)

Regarding the field of medicine, the following four value-based considerations emerged: (1) justice, (2) responsiveness to suffering, (3) protection, and (4) proportionality.

First, and as regards the principle of justice , participants in favour of equal procedural criteria for all non-terminally ill pointed to the indissociable unity of soma and psyche. A few physicians went one step further and reported that some psychiatric conditions can be considered terminal, e.g., suicidality, or predominantly of somatic nature, e.g., anorexia. The main counterarguments in this respect were (1) the firm belief in the inexistence of irremediableness in psychiatry (only mentioned by some physicians) or (2) that more caution is needed due to the higher level of subjectivity in terms of diagnostics, prognosis, and outcome.

Second, arguments against the distinction between the somatically versus the mentally ill were based on the attitude of responsiveness to the extreme extent and duration of mental suffering that can also render the mentally ill in a medically futile situation and the field of psychiatry empty-handed.

And many of the psychiatric patients I see suffer more than the average ALS patient who has to endure it for three years. In my experience, we’re less advanced in psychiatry compared to most other medical fields. You can easily say “we don’t know” in other areas of medicine and people will understand, but when it comes to psychiatric conditions, it’s different. Doctors might admit “it’s not working” or “there’s no trust,” and they might refer patients elsewhere or even refuse further appointments. I’ve even told a judge during a forced admission, “There’s simply no treatment available.” Yes, sometimes it’s just over and society must accept that there’s no solution. I’m not saying euthanasia is the solution for everyone, but I think it can be an option for some people. (Psychiatrist)

Other participants were not blind to the deep suffering, but strongly believed in the ground principle and core strength of psychiatry, namely the beneficial effect of hope. In addition, they pointed to the differences in the nature and course of somatic versus psychiatric illnesses when stating that considerably more time is needed in psychiatry, with inclusion of the therapeutic effect of hope to become effective.

“And I also believe that collectively, within psychiatry, we can and must provide additional support to endure profound despair. So, even in the face of seemingly endless hopelessness, we must maintain hope, look towards the future with trust, and continuously offer encouragement to those who feel hopeless. Our unwavering optimism and support convey the message that together, we can overcome. Because individuals who suffer from severe mental illness are treatable, I consider myself to be a genuinely optimistic psychiatrist. I have witnessed individuals who have harbored feelings of hopelessness and despair for extended periods, sometimes even decades, undergo profound transformations and experience significant improvement, and in some cases, complete recovery.” (Psychiatrist)

Third, participants in favour of the current legal framework reported that allowing euthanasia for the mentally ill was needed in the light of protection , as it might protect the patient against brutal suicides and also against therapeutic tenacity that more often occurs in psychiatry. Other participants in favour of, as well as participants against the current framework held a different stance on the following two counts: (1) allowing euthanasia conflicts with the aim of psychiatry to prevent suicide at all costs, and (2) the mentally ill are insufficiently protected by the Law as there are insufficient built-in safeguards against therapeutic negligence.

But usually with a psychiatric condition, death isn’t imminent. That’s the tricky part, you know? How many suicides do we have here? But anyway, I have an issue with that, using euthanasia as a kind of antidote against, well, against suicide, that’s a completely different matter. But death and psychiatry, why do we have all those government programs against suicide then? Isn’t that dying as a result of a psychiatric condition? (Psychiatrist, supportive of maintaining euthanasia option in psychiatric settings)

Fourth and as regards proportionality , a few participants with a normative stance against euthanasia in the context of psychiatry argued that psychiatric patients may not be allowed to die by means of euthanasia for as long as the field of psychiatry is under-resourced. They pointed to e.g., the lack of sufficient crisis shelters with a 24/7 availability and the lack of palliative approaches in the field of psychiatry. Instead of allowing euthanasia, they argue ‘to jolt the Belgian government’s conscience on mental health policies’. As a revolution to defeat the built-up inequalities in the field of medicine and knowing that palliative and rehabilitation initiatives in psychiatry require time.

“I oppose euthanasia in psychiatry. Compared to somatic medicine, psychiatry lags behind by 50 years. While physical pain can be managed with medication, there’s insufficient research on treatments for psychological suffering. Promising options like psilocybin and ketamine show potential in easing existential mental struggles. Magnetic stimulation can also alleviate depression, yet access remains limited. Unfortunately, these treatments are underused and under-researched. Many patients aren’t informed about these alternatives to euthanasia. It’s frustrating to see reluctance in exploring these options, especially when they offer hope to long-suffering patients. Utilizing these methods in psychiatric settings carries no risk of addiction. However, current restrictions impede access to these treatments, depriving patients of viable alternatives.” (Shortened excerpt from an interview with a psychiatrist)

When taking a societal perspective, no new arguments emerged from the respondents strongly in favour of the current euthanasia legislation, other than the main value of justice described in the subsection above. According to some, the current Law on Euthanasia busts some myths on the malleability of life and medical omnipotence, and even on psychiatric illnesses as a ‘Western phenomenon’, with e.g., depression and suicidality as a consequence of material wealth instead of a neurologic issue in the brain (only reported by some non-physicians).

There are quite a few people who consider the whole issue of the unbearable nature of psychological suffering a luxury problem, you know? They say something like, “Yeah, where are the suicide rates, to put it in equivalent terms, the lowest in the world? In Africa, because they obviously don’t have the luxury to concern themselves with that. They are already happy if they have a potato on their plate every day.” This is a viewpoint held by many, right? They call it a luxury problem, a modern, typical Western luxury problem. And perhaps there is some truth to it, right? But there are other causes of mortality there, which are much higher, such as child mortality, for example. (non-physician)

Counterarguments were also given and pointed to the value of (distributive) Justice. First, euthanasia was considered as ‘a logical but perverse consequence of systemic societal inequities’ on the one hand and the ‘further evolution towards the commodification or commercialisation of health care in individualised Western societies’ on the other. This would then lead to another vicious circle, with a rapidly growing ‘perception of vulnerable patient groups as irremediable’ and hence less likely to receive potentially beneficial treatment or other interventions. Some took a more radical stance against euthanasia in psychiatry, as they were convinced that euthanasia is nothing but ‘a perverse means to cover societal failures’. In addition, some participants with permissive stances on euthanasia in the context of psychiatry pointed to gender disparities in euthanasia requestors. This was based on the evidence that in the context of psychiatry, many more females request and die by means of euthanasia than males, and proportionally more female patient suffering from psychiatric disorders request and die by means of euthanasia compared to their fellow peers suffering from life-limiting or predominantly somatic conditions.

Finally, some respondents said that they could understand and, in some cases, even support euthanasia in some individual cases, but felt uncomfortable with its impact on the societal level. They pointed to the vicious circle of stigma and self-stigma that may impede the mentally ill to fully participate in societal encounters. In the long run, this type of societal disability may lead to vulnerable patients no longer wanting to perceive themselves a burden to society or to remain ‘socially dead’.

While considering their ethical perspectives towards euthanasia, participants weigh up various values related to and intertwining with the following levels: (1) the patient, (2) the patient’s inner circle, (3) the field of medicine, and (4) society in general. Overall, the participants shared an amalgam of ethical values on each of these four levels, regardless of their stance on euthanasia. It was mainly the interpretation of some values, the emphasis they placed on the key components underpinning each value and the importance they attach to each of the four levels, that determined their stance towards euthanasia. It was uncommon for different ethical values to be explicitly mentioned, which could distinguish distinct stances for or against euthanasia.

As regards euthanasia in the context of psychiatry, the focus has primarily been on arguments for and against euthanasia [ 23 ]. However, our study takes a more comprehensive approach, exploring the issue from a wider range of perspectives. This approach allowed us to uncover more complex insights that may have been overlooked if we had only considered it as a black-and-white issue.

Both the systematic review of Nicolini et al. [ 23 ] and our study emphasized fundamental ethical domains such as autonomy, professional duties, and the broader implications of euthanasia on mental healthcare. While our findings aligned with those of the systematic review, our inquiry delved deeper into psychiatry-specific considerations, including the influence of sudden impulses and feelings of hopelessness. This underscores the importance of healthcare professionals carefully assessing the timing and contextual aspects of such decisions within psychiatric contexts, ensuring individuals receive timely and tailored support and interventions.

Furthermore, our study extended beyond the boundaries of medical discourse, addressing broader societal ramifications. Participants engaged in discussions about ‘social death,’ a phenomenon that describes the marginalization of individuals despite their physical existence. This discussion highlighted entrenched structural inequities and societal attitudes perpetuating social alienation, particularly affecting marginalized demographics, including individuals grappling with mental health issues. Advocating for societal inclusivity and supportive measures, our study strongly emphasized the need to foster a sense of unity and respect for everyone’s worth, regardless of their circumstances.

Interpretation of the main findings

We make explicit and discuss the values corresponding to the four classical principles of biomedical ethics, in particular beneficence, non-maleficence, respect for autonomy and justice [ 31 ]. We place these values in the context of different ethical approaches, such as religious, professional, emancipatory, social, societal, and virtue-oriented approaches (see the ethical interpretation framework in OSF).

In the discussion section, therefore, the following main values and virtues are addressed: (1) the values of beneficence and non-maleficence in a religious perspective, (2) those same values in the professional context, (3) the value of autonomy in the contemporary emancipation paradigm, (4) the virtue of compassion stemming from virtue ethics theory, (5) the value of quality care in a social approach, and (6) the value of justice in societal policy contexts.

Beneficence and non-maleficence: religious perspective

In the realm of euthanasia debates, the interplay of religious beliefs and the values of ‘beneficence’ (the act of doing good) and ‘non-maleficence’ (do no harm) has emerged as a pivotal point of contention, often giving rise to divergent perspectives on this complex ethical issue [ 32 , 33 ]. Some religious traditions staunchly oppose medical end-of-life decisions, including euthanasia and abortion, viewing them as morally wrong and as disruptive to the natural order of life and death. The principle of ‘sanctity of life’ forms the bedrock of their belief system, underscoring the significance they attach to preserving life at all costs, as an embodiment of beneficence [ 34 , 35 ]. Conversely, those who argue for the ethical consideration of euthanasia emphasize the concept of beneficence in alleviating suffering and granting autonomy to individuals in their final moments. However, intriguingly, our examination of the topic has revealed a nuanced relationship between religious beliefs and attitudes toward euthanasia. While some individuals in our sample expressed strong religious convictions ( n  = 5) and even considered themselves as practicing Catholics, they did not necessarily adopt a firm normative stance against euthanasia, signifying a complex balancing of beneficence and possible maleficence within their belief system. Conversely, certain participants who held steadfastly against euthanasia ( n  = 3) did not identify with any religious belief system, yet their position was firmly grounded in their perception of potential maleficence associated with medical intervention in life and death decisions. This observation aligns with recent studies highlighting the intricate and multifaceted nature of religiosity, where individuals within various religious frameworks may hold diverse beliefs and values surrounding beneficence and non-maleficence [ 36 , 37 ]. Moreover, it underscores the powerful influence of societal culture on shaping personal perspectives on euthanasia, and how these views are entwined with the values of beneficence and non-maleficence [ 36 , 37 ].

Beneficence and non-maleficence: professional values

Second, a profound division arises between proponents and opponents, particularly in the field of medicine, where interpretations of the Oath of Hippocrates play a central role. At its core, the Oath emphasizes the deontological values of beneficence and non-maleficence, as physicians are bound by a prohibition against administering a deadly drug to ‘anyone,’ even at their explicit request, highlighting the reverence for the sanctity of life inherent in medical practice. This interpretation has led some to perceive active euthanasia as contrary to these sacred principles of preserving life. The notion of beneficence, understood as promoting the well-being of patients, appears to be in tension with the act of intentionally ending a life. Critics argue that euthanasia undermines the fundamental duty of physicians to protect and preserve life. Additionally, the principle of ‘non-maleficence,’ which entails not harming the patient or their life, is seen by some as being in accordance with the ‘sanctity of life’. However, the Oath also recognizes the significance of alleviating relentless suffering, opening the door to a nuanced debate on how these timeless principles align with the modern concept of euthanasia. As the discourse unfolds, perspectives emerge, with some viewing euthanasia as a compassionate form of care, that respects the autonomy and dignity of patients facing terminal illness or unbearable suffering. Advocates argue that euthanasia can be an act of beneficence, providing relief from pain and allowing individuals to die with dignity and control over their own fate. On the other hand, opponents of euthanasia steadfastly uphold the sanctity of life principle, viewing it as an ethical imperative that must not be compromised. They argue that intentionally ending a life, even in the context of relieving suffering, undermines the fundamental values of medical ethics and the intrinsic worth of every human life. For these individuals, euthanasia represents a profound ethical dilemma that conflicts with the near sanctity of medical ethics and the value of preserving life [ 38 , 39 , 40 ].

Autonomy: contemporary emancipation paradigm

The principle of autonomy emerges as one of the most prominent and contentious values in our contemporary emancipation paradigm. Autonomy, grounded in the belief in individual self-governance, is often cited as a foundational ethical principle in euthanasia legislation, emphasizing the significance of an individual’s capacity to make choices aligned with their own personal values and desires [ 31 ]. However, the discussion on autonomy extends beyond pure individualism, with considerations for relational autonomy, recognizing that individuals are not isolated entities but are shaped by their relationships, communities, and broader societal structures [ 41 ]. Within the context of euthanasia, the complexities of autonomy become evident as participants in the debate strived to find a delicate balance. On one hand, they stress the importance of respecting a patient’s individual autonomy in end-of-life decisions, ensuring that their choices are honoured and upheld. Simultaneously, they acknowledge the necessity of accounting for the patient’s social context and broader community when considering euthanasia as a compassionate option. Nevertheless, concerns are raised by some about the potential risks posed by euthanasia legislation, particularly for the most vulnerable individuals, such as the elderly and the mentally ill. These concerns centre on the negative consequences that may arise when individual autonomy is exercised without consideration for others or for societal well-being, and the concept of “social death,” which refers to the marginalization and exclusion of individuals from social relationships and networks due to illness or disability [ 42 , 43 ].

Amidst these complexities, the ethical value of autonomy stands as a paramount consideration. However, its application necessitates thoughtful consideration and balance with other values, including justice, equality, and societal responsibility. Recent reflections on “relational autonomy” have prompted critical evaluations of the idea of pure autonomy, emphasizing the need to delve deeper into the micro, meso, and macro levels that underpin autonomy and address potential conflicts between individual and relational autonomy [ 44 ]. Further, it highlights the imperative to take the broader societal context into account when grappling with the ethical challenges associated with euthanasia [ 45 ].

Compassion: virtue ethics

Our study confirms that while the value of autonomy holds importance, it is not the sole determinant in the ethical considerations surrounding euthanasia [ 46 ]. In this complex discourse, numerous other ethical values and virtues come to the fore, including the significance of compassion towards suffering individuals and the imperative of alleviating their distress. Notably, compassion is not merely a singular principle, but rather a profound ground attitude or virtue that motivates individuals to empathize with the pain of others and take actions to provide relief.

As revealed in our research, participants who opposed euthanasia did not invoke religious frameworks; instead, they explored diverse philosophical approaches to comprehend suffering and compassion. Among these, non-Western philosophies emphasized embracing suffering as an intrinsic aspect of life, acknowledging the impermanence of all things, including suffering. Additionally, the existentialist perspective of Albert Camus underscored suffering’s innate connection to human existence, leading to deeper self-understanding and comprehension of the world.

These philosophical viewpoints find relevance in the realm of ethics as well. Virtue ethics, in particular, highlights the significance of cultivating virtues such as courage and resilience, while narrative ethics emphasizes storytelling as a means to gain profound insight and reflection on experiences of suffering [ 47 , 48 ]. Such narratives foster empathy and create a shared sense of experience and community.

Our results show that, for some, suffering may hold positive value in various ways. The nature and intensity of suffering, alongside an individual’s values and virtues, beliefs, and coping capacity, significantly influence the ethics of euthanasia decision-making. An intricate approach that recognizes the multifaceted impacts of suffering becomes essential, acknowledging that various factors could potentially influence the experience of suffering as well as the interpretation of the consequences of the suffering experience. It’s possible that this approach doesn’t solely depend on the quantity of suffering or even its nature. Instead, it could be related to the delicate balance between one’s ability to endure suffering, the burden it places on them, and the (ir)remediableness of this burden, which can vary greatly among individuals as well as it might change over time. Such an approach aims to alleviate relentless suffering and, in certain cases, relieve unnecessary and enduring distress without consistently imposing interpretations upon it. Thus, acknowledging that, experiences of suffering are inherent to life and might act as drivers for personal development, fostering resilience, empathy, and a deeper apprehension of life’s essence, while it also might represent something irremediable, underscores the significance of a broader meaning of the concept of compassion as guiding principle in euthanasia discussions. These discussions further extend to the recognition of the dynamic trajectory inherent to the burden of suffering, as well as its potential for temporal evolution within the individual experiences of the afflicted. Such recognition not only fosters a more intricate understanding of the complex interplay between suffering and resilience but also highlights the acknowledgment that there may be moments when suffering becomes unendurable, surpassing the individual’s capacity to cope. This dimension introduces a layer of intricacy to the ethical considerations inherent in these discussions, thus necessitating a nuanced approach that contemplates the potentialities as well as the constraints of human endurance and the associated ethical ramifications.

Quality care: social approach

Examining euthanasia debates from a sociological perspective sheds light on the influence of societal inequalities in healthcare access and quality on the practice of euthanasia, and how it can shape personal, relational, and societal values, leading to the normalization or culturalization of euthanasia [ 49 ]. A noteworthy finding in this context is the contrasting perspectives on the evolving process of dying, transitioning from being perceived as in God’s hands to a more medical realm, where proponents of euthanasia view medicine as a catalyst for granting individuals greater control over the timing, manner, and circumstances of their own deaths. They envision the opportunity to be surrounded by loved ones and maintain consciousness while embracing the option of euthanasia, which they believe improves the quality of life at the end.

Proponents also emphasize additional benefits, such as enhanced transparency and regulation, ensuring ethical conduct through regulatory measures. They express concerns about a cultural environment where certain physicians adopt paternalistic attitudes and resist accepting death, prioritizing the extension of life as a moral imperative. In contrast, critical voices argue that death and dying have become increasingly medicalized, leading to their institutionalization. Some critics further contend that this medicalization has devalued the dying process and commodified life itself, leading patients, and families to increasingly rely on medical interventions at life’s end.

Moreover, as shared by some of the interviewees, the growing acceptance of medical assistance in dying may raise concerns. It’s conceivable that this evolving attitude could contribute to a perception of death undergoing a shift in seriousness, resulting in decisions about one’s life conclusion being made with less comprehensive thought and insufficient reflection. Consequently, this scenario could potentially lead individuals who are more susceptible to experiencing feelings of life’s insignificance, weariness, or sense of being ‘through with life’, to lean towards considering euthanasia. However, this inclination might also be driven by a lack of sufficient access to the necessary, long-term quality mental health care that would otherwise facilitate the pursuit of a life imbued with adequate significance, comfort, and dignity, achievable through appropriate (mental) healthcare.

Earlier research indicates that Belgium’s psychiatric care system has been grappling with underfunding and fragmentation, leading to individuals falling through the gaps in the mental health safety net [ 50 ]. One critical aspect is, e.g., the inadequate investment in long-term, intensive care, which is precisely the kind of support that individuals grappling with such existential questions may require.

Hence, in the context of euthanasia debates, the value of quality care emerges, encompassing the principle of beneficence, which emphasizes the obligation to provide good care and enhance the overall well-being of individuals. Ethical considerations go beyond the individual’s right to autonomy, extending to societal factors that influence healthcare practices and attitudes towards euthanasia. Addressing the impact of healthcare disparities and the medicalization of dying becomes imperative to ensure ethical and compassionate decision-making that upholds the true value of quality care and respect for human dignity.

Justice: societal policy contexts

In the context of euthanasia in somatic versus psychiatric medicine, ethical considerations regarding euthanasia often revolve around the fundamental value of justice [ 23 , 51 , 52 ]. Some respondents in our study emphasized the need for parity between somatic and psychiatric illnesses, recognizing that there should be no distinction between patients suffering from either. They argued that upholding the principle of justice demands equal treatment and recognition of the suffering experienced by individuals with psychiatric illnesses.

However, for others, achieving justice requires acknowledging and addressing the unique challenges faced by patients predominantly suffering from psychiatric illnesses. A comprehensive and integrated healthcare approach is proposed, where mental health is regarded as an integral part of overall health. This approach involves allocating the same level of attention and resources to psychiatric medicine as given to somatic illnesses, aiming to combat stigma and discrimination towards individuals with psychiatric conditions. Equitable treatment during life and at the end of life becomes the focus.

Yet, the Belgian context of psychiatry presents significant challenges. The field is characterized by underfunding and fragmented care, particularly for individuals with longstanding and complex psychiatric problems [ 53 ]. Additionally, the end-of-life care for psychiatric patients is still underdeveloped, and palliative psychiatry is in its early stages, lacking a uniformly agreed-upon definition or clear implementation guidelines [ 54 ]. In response, Belgium is exploring the “Oyster Care” model, designed to provide flexible, personalized care for individuals with severe and persistent mental illness who may be at risk of neglect or overburdened by psychiatric services [ 55 ]. This model aims to create a safe “exoskeleton” or supportive environment for patients, recognizing that recovery, reintegration, and resocialization might not be attainable for everyone with certain psychiatric conditions [ 55 ].

However, the integration of Oyster Care in today’s psychiatric practice is still limited and requires further development. Emphasizing the value of justice calls for continued efforts to enhance and refine psychiatric care, ensuring that individuals with psychiatric illnesses receive equitable treatment throughout their lives, including end-of-life care decisions [ 55 , 56 ].

Implications for future research, policy, and practice

In terms of policy and practice, our findings indicate that the discourse surrounding euthanasia extends beyond legal or medical considerations and encompasses fundamental ethical values that underpin our society. These values may not always be aligned and can create ethical dilemmas that are challenging to address. A value-centred approach to the euthanasia debate necessitates a constructive ethical dialogue among various actors involved, including patients, healthcare practitioners, and the wider community. This conversation should strive to comprehend the diverse values involved and endeavour to achieve a balance between these values. Additionally, ethical dialogue might encourage individuals to reflect on their own assumptions and beliefs, leading to more informed and thoughtful decision-making on ethical and moral issues. Ultimately, ethical dialogue can promote a more just and equitable society that prioritizes empathy, understanding, and mutual respect.

It is also crucial to acknowledge that patients with somatic illnesses and those with psychiatric illnesses may have different needs and expectations regarding the end of life. Hence, end-of life healthcare must be sensitive to the unique needs of each group. This recognition of differences does not justify unequal treatment or discrimination based on the type of illness. Instead, it involves addressing the different needs and expectations of each patient group while ensuring equitable and high-quality care for all.

As regards research, most articles on euthanasia legislation to date placed the emphasis on what other countries and states can learn from the Belgian and Dutch euthanasia practice. In addition, what can be learned is mainly restricted to the evidence and reflections on factual issues from a global practical-clinical perspective. Consequently, one of the main ethical, clinical, and societal issues remains unrequited, namely the impact of legislation and its consequences on an intrapersonal, interpersonal, medical, social, and societal level. Although cultural diversity is recently put high on the research agenda concerning general health care and mental health care, it is largely understudied in the context of end-of-life decisions and largely ignored in the context of psychiatry. Fewer articles have focused on what the latter countries may learn from those not implementing or not considering euthanasia legislation. In an increasingly diverse society, rapidly evolving in terms of fluidity and multi-ethnicity, cross-cultural research can help us learn from one another. To address the many dimensions of euthanasia, there is a need for input from a variety of academic fields, including sociology, anthropology, communication studies, and history. Further interdisciplinary research in all these areas could help inform policy and practice related to euthanasia.

Strengths and limitations

This is the first empirical in-depth interview study that uncovered the underlying ethical considerations of a variety and relatively large sample of health care professionals and volunteers in Belgium, a country with one of the most permissive legislative frameworks regarding euthanasia, as – unlike in some other countries – it does not exclude adults with psychiatric conditions per definition. Belgium is also one of the pioneering countries with such a legislative framework and can boast on two decades of euthanasia legislation and implementation.

We succeeded in providing a unique and representative sample of participants, varying in gender, work setting and expertise, and stances regarding euthanasia. Finally, and unlike former scientific studies that focused on either the somatic or psychiatric context, we now gauged for participants’ ethical perspectives on euthanasia in both fields of medicine.

There are also several limitations to our study. We may have experienced selection bias, as our sample of non-physicians had varying ages, but the sample of physicians was mostly older than 60. In addition, some interviews had to be postponed or cancelled due to COVID-19 restrictions and, potentially, due to legal and emotional concerns surrounding a high-profile euthanasia case being brought to court. Additionally, our sample exhibited heterogeneity regarding worldview (religious or non-religious), but possibly not regarding other culture-sensitive aspects, like migration background. As our qualitative research focused on exploring themes, narratives, and shared experiences rather than on ensuring high participation rates for statistical generalizability, drawing definitive conclusions regarding the prevalence of each opinion (pro/ambivalent/critical/against), the level of experience, or perspective across the entire spectrum of euthanasia practice is beyond the scope of our study.

Finally, although there is a growing number of countries and states around the globe with a legislative framework on euthanasia, all the legal frameworks differ from one another, so the results of our study cannot be generalized to the specific euthanasia context in e.g., Switzerland or Canada.

Our study illuminates the foundational values guiding perceptions of euthanasia, including autonomy, compassion, quality care, and justice, which permeate through four interconnected tiers: the patient, their inner circle, the medical community, and society at large. Despite varied stances on euthanasia, participants demonstrated a convergence of ethical principles across these tiers, shaped by nuanced interpretations and considerations. While explicit discussions of distinct ethical values were infrequent, their profound impact on euthanasia perspectives underscores the importance of ethical discourse in navigating this complex issue. By fostering inclusive dialogue and reconciling diverse values, we can promote informed decision-making, justice, and empathy in end-of-life care, particularly in psychiatric settings. Interdisciplinary research is essential for a comprehensive understanding of euthanasia’s dimensions and to inform policy development. While our study is rooted in Belgium, its implications extend to the broader euthanasia discourse, suggesting avenues for further exploration and cross-cultural understanding.

Data availability

The datasets generated and/or analysed during the current study are not publicly available due reasons of privacy and anonymity, but are available from the corresponding author on reasonable request, following procedures from all 3 Medical Ethics Committees involved. To access the supplementary materials, see the Open Science Framework repository at https://osf.io/26gez/?view_only=af42caddb2554acfb7d1d5aabd4dec7a . Upon publication of this paper, the repository will be made public, and a shorter link will be provided.

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Acknowledgements

The authors wish to thank prof. dr. Kenneth Chambaere and prof. dr. Kurt Audenaert for their preliminary advice regarding the ethics of the research methodology, dr. Steven Vanderstichelen for his help with the interviews (i.e., conducting and transcribing) and all the participants for sharing their professional and in some cases also personal experiences during the interview. We’d also like to thank prof. dr. Kenneth Chambaere for the supervision during the conducting of the interviews and his feedback on the ‘near to final’ draft.

MV is funded by the Research Foundation Flanders via research project (G017818N) and PhD fellowship (1162618 N).

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The article has been developed with the following authors’ contributions: MV was responsible for the study methodology and managed ethical approval; MV conducted most of the interviews and wrote the main manuscript texts. AL drafted the ethical interpretation framework. MV, LM, KP and AL were responsible for the coding structure and data interpretation and performed a critical review and revision of the final manuscript.

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Correspondence to Monica Verhofstadt .

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This research project was performed in accordance with the Declaration of Helsinki and the European rules of the General Data Protection Regulation. It received ethical approval from the Medical Ethics Committee of the Brussels University Hospital with reference BUN 143201939499, from the Medical Ethics Committee of Ghent University Hospital with reference 2019/0456, and from the Medical Ethics Committee of the Brothers of Charity with reference OG054-2019-20. The interviews were held after obtaining informed consent from all the participants.

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MV has received research grants from the Research Foundation Flanders; no other relationships or activities that could appear to have influenced the submitted work were declared. All other authors declare that they do not have any competing interest.

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Verhofstadt, M., Moureau, L., Pardon, K. et al. Ethical perspectives regarding Euthanasia, including in the context of adult psychiatry: a qualitative interview study among healthcare workers in Belgium. BMC Med Ethics 25 , 60 (2024). https://doi.org/10.1186/s12910-024-01063-7

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Received : 04 September 2023

Accepted : 15 May 2024

Published : 21 May 2024

DOI : https://doi.org/10.1186/s12910-024-01063-7

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