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Implications in Research – Types, Examples and Writing Guide

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Implications in Research

Implications in research refer to the potential consequences, applications, or outcomes of the findings and conclusions of a research study. These can include both theoretical and practical implications that extend beyond the immediate scope of the study and may impact various stakeholders, such as policymakers, practitioners, researchers , or the general public.

Structure of Implications

The format of implications in research typically follows the structure below:

• Restate the main findings: Begin by restating the main findings of the study in a brief summary .
• Link to the research question/hypothesis : Clearly articulate how the findings are related to the research question /hypothesis.
• Discuss the practical implications: Discuss the practical implications of the findings, including their potential impact on the field or industry.
• Discuss the theoretical implications : Discuss the theoretical implications of the findings, including their potential impact on existing theories or the development of new ones.
• Identify limitations: Identify the limitations of the study and how they may affect the generalizability of the findings.
• Suggest directions for future research: Suggest areas for future research that could build on the current study’s findings and address any limitations.

Types of Implications in Research

Types of Implications in Research are as follows:

Theoretical Implications

These are the implications that a study has for advancing theoretical understanding in a particular field. For example, a study that finds a new relationship between two variables can have implications for the development of theories and models in that field.

Practical Implications

These are the implications that a study has for solving practical problems or improving real-world outcomes. For example, a study that finds a new treatment for a disease can have implications for improving the health of patients.

Methodological Implications

These are the implications that a study has for advancing research methods and techniques. For example, a study that introduces a new method for data analysis can have implications for how future research in that field is conducted.

Ethical Implications

These are the implications that a study has for ethical considerations in research. For example, a study that involves human participants must consider the ethical implications of the research on the participants and take steps to protect their rights and welfare.

Policy Implications

These are the implications that a study has for informing policy decisions. For example, a study that examines the effectiveness of a particular policy can have implications for policymakers who are considering whether to implement or change that policy.

Societal Implications

These are the implications that a study has for society as a whole. For example, a study that examines the impact of a social issue such as poverty or inequality can have implications for how society addresses that issue.

Forms of Implications In Research

Forms of Implications are as follows:

Positive Implications

These refer to the positive outcomes or benefits that may result from a study’s findings. For example, a study that finds a new treatment for a disease can have positive implications for patients, healthcare providers, and the wider society.

Negative Implications

These refer to the negative outcomes or risks that may result from a study’s findings. For example, a study that finds a harmful side effect of a medication can have negative implications for patients, healthcare providers, and the wider society.

Direct Implications

These refer to the immediate consequences of a study’s findings. For example, a study that finds a new method for reducing greenhouse gas emissions can have direct implications for policymakers and businesses.

Indirect Implications

These refer to the broader or long-term consequences of a study’s findings. For example, a study that finds a link between childhood trauma and mental health issues can have indirect implications for social welfare policies, education, and public health.

Importance of Implications in Research

The following are some of the reasons why implications are important in research:

• To inform policy and practice: Research implications can inform policy and practice decisions by providing evidence-based recommendations for actions that can be taken to address the issues identified in the research. This can lead to more effective policies and practices that are grounded in empirical evidence.
• To guide future research: Implications can also guide future research by identifying areas that need further investigation, highlighting gaps in current knowledge, and suggesting new directions for research.
• To increase the impact of research : By communicating the practical and theoretical implications of their research, researchers can increase the impact of their work by demonstrating its relevance and importance to a wider audience.
• To enhance the credibility of research : Implications can help to enhance the credibility of research by demonstrating that the findings have practical and theoretical significance and are not just abstract or academic exercises.
• To foster collaboration and engagement : Implications can also foster collaboration and engagement between researchers, practitioners, policymakers, and other stakeholders by providing a common language and understanding of the practical and theoretical implications of the research.

Example of Implications in Research

Here are some examples of implications in research:

• Medical research: A study on the efficacy of a new drug for a specific disease can have significant implications for medical practitioners, patients, and pharmaceutical companies. If the drug is found to be effective, it can be used to treat patients with the disease, improve their health outcomes, and generate revenue for the pharmaceutical company.
• Educational research: A study on the impact of technology on student learning can have implications for educators and policymakers. If the study finds that technology improves student learning outcomes, educators can incorporate technology into their teaching methods, and policymakers can allocate more resources to technology in schools.
• Social work research: A study on the effectiveness of a new intervention program for individuals with mental health issues can have implications for social workers, mental health professionals, and policymakers. If the program is found to be effective, social workers and mental health professionals can incorporate it into their practice, and policymakers can allocate more resources to the program.
• Environmental research: A study on the impact of climate change on a particular ecosystem can have implications for environmentalists, policymakers, and industries. If the study finds that the ecosystem is at risk, environmentalists can advocate for policy changes to protect the ecosystem, policymakers can allocate resources to mitigate the impact of climate change, and industries can adjust their practices to reduce their carbon footprint.
• Economic research: A study on the impact of minimum wage on employment can have implications for policymakers and businesses. If the study finds that increasing the minimum wage does not lead to job losses, policymakers can implement policies to increase the minimum wage, and businesses can adjust their payroll practices.

How to Write Implications in Research

Writing implications in research involves discussing the potential outcomes or consequences of your findings and the practical applications of your study’s results. Here are some steps to follow when writing implications in research:

• Summarize your key findings: Before discussing the implications of your research, briefly summarize your key findings. This will provide context for your implications and help readers understand how your research relates to your conclusions.
• Identify the implications: Identify the potential implications of your research based on your key findings. Consider how your results might be applied in the real world, what further research might be necessary, and what other areas of study could be impacted by your research.
• Connect implications to research question: Make sure that your implications are directly related to your research question or hypotheses. This will help to ensure that your implications are relevant and meaningful.
• Consider limitations : Acknowledge any limitations or weaknesses of your research, and discuss how these might impact the implications of your research. This will help to provide a more balanced view of your findings.
• Discuss practical applications : Discuss the practical applications of your research and how your findings could be used in real-world situations. This might include recommendations for policy or practice changes, or suggestions for future research.
• Be clear and concise : When writing implications in research, be clear and concise. Use simple language and avoid jargon or technical terms that might be confusing to readers.
• Provide a strong conclusion: Provide a strong conclusion that summarizes your key implications and leaves readers with a clear understanding of the significance of your research.

Purpose of Implications in Research

The purposes of implications in research include:

• Informing practice: The implications of research can provide guidance for practitioners, policymakers, and other stakeholders about how to apply research findings in practical settings.
• Generating new research questions: Implications can also inspire new research questions that build upon the findings of the original study.
• Identifying gaps in knowledge: Implications can help to identify areas where more research is needed to fully understand a phenomenon.
• Promoting scientific literacy: Implications can also help to promote scientific literacy by communicating research findings in accessible and relevant ways.
• Facilitating decision-making : The implications of research can assist decision-makers in making informed decisions based on scientific evidence.
• Contributing to theory development : Implications can also contribute to the development of theories by expanding upon or challenging existing theories.

When to Write Implications in Research

Here are some specific situations of when to write implications in research:

• Research proposal : When writing a research proposal, it is important to include a section on the potential implications of the research. This section should discuss the potential impact of the research on the field and its potential applications.
• Literature review : The literature review is an important section of the research paper where the researcher summarizes existing knowledge on the topic. This is also a good place to discuss the potential implications of the research. The researcher can identify gaps in the literature and suggest areas for further research.
• Conclusion or discussion section : The conclusion or discussion section is where the researcher summarizes the findings of the study and interprets their meaning. This is a good place to discuss the implications of the research and its potential impact on the field.

Advantages of Implications in Research

Implications are an important part of research that can provide a range of advantages. Here are some of the key advantages of implications in research:

• Practical applications: Implications can help researchers to identify practical applications of their research findings, which can be useful for practitioners and policymakers who are interested in applying the research in real-world contexts.
• Improved decision-making: Implications can also help decision-makers to make more informed decisions based on the research findings. By clearly identifying the implications of the research, decision-makers can understand the potential outcomes of their decisions and make better choices.
• Future research directions : Implications can also guide future research directions by highlighting areas that require further investigation or by suggesting new research questions. This can help to build on existing knowledge and fill gaps in the current understanding of a topic.
• Increased relevance: By highlighting the implications of their research, researchers can increase the relevance of their work to real-world problems and challenges. This can help to increase the impact of their research and make it more meaningful to stakeholders.
• Enhanced communication : Implications can also help researchers to communicate their findings more effectively to a wider audience. By highlighting the practical applications and potential benefits of their research, researchers can engage with stakeholders and communicate the value of their work more clearly.

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Researcher, Academic Writer, Web developer

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How to Write an “Implications of Research” Section

4-minute read

• 24th October 2022

When writing research papers , theses, journal articles, or dissertations, one cannot ignore the importance of research. You’re not only the writer of your paper but also the researcher ! Moreover, it’s not just about researching your topic, filling your paper with abundant citations, and topping it off with a reference list. You need to dig deep into your research and provide related literature on your topic. You must also discuss the implications of your research.

Interested in learning more about implications of research? Read on! This post will define these implications, why they’re essential, and most importantly, how to write them. If you’re a visual learner, you might enjoy this video .

What Are Implications of Research?

Implications are potential questions from your research that justify further exploration. They state how your research findings could affect policies, theories, and/or practices.

Implications can either be practical or theoretical. The former is the direct impact of your findings on related practices, whereas the latter is the impact on the theories you have chosen in your study.

Example of a practical implication: If you’re researching a teaching method, the implication would be how teachers can use that method based on your findings.

Example of a theoretical implication: You added a new variable to Theory A so that it could cover a broader perspective.

Finally, implications aren’t the same as recommendations, and it’s important to know the difference between them .

Questions you should consider when developing the implications section:

●  What is the significance of your findings?

●  How do the findings of your study fit with or contradict existing research on this topic?

●  Do your results support or challenge existing theories? If they support them, what new information do they contribute? If they challenge them, why do you think that is?

Why Are Implications Important?

You need implications for the following reasons:

● To reflect on what you set out to accomplish in the first place

● To see if there’s a change to the initial perspective, now that you’ve collected the data

● To inform your audience, who might be curious about the impact of your research

How to Write an Implications Section

Usually, you write your research implications in the discussion section of your paper. This is the section before the conclusion when you discuss all the hard work you did. Additionally, you’ll write the implications section before making recommendations for future research.

Implications should begin with what you discovered in your study, which differs from what previous studies found, and then you can discuss the implications of your findings.

Your implications need to be specific, meaning you should show the exact contributions of your research and why they’re essential. They should also begin with a specific sentence structure.

Examples of starting implication sentences:

●  These results build on existing evidence of…

●  These findings suggest that…

●  These results should be considered when…

●  While previous research has focused on x , these results show that y …

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You should write your implications after you’ve stated the results of your research. In other words, summarize your findings and put them into context.

The result : One study found that young learners enjoy short activities when learning a foreign language.

The implications : This result suggests that foreign language teachers use short activities when teaching young learners, as they positively affect learning.

 Example 2

The result : One study found that people who listen to calming music just before going to bed sleep better than those who watch TV.

The implications : These findings suggest that listening to calming music aids sleep quality, whereas watching TV does not.

To summarize, remember these key pointers:

●  Implications are the impact of your findings on the field of study.

●  They serve as a reflection of the research you’ve conducted.              

●  They show the specific contributions of your findings and why the audience should care.

●  They can be practical or theoretical.

●  They aren’t the same as recommendations.

●  You write them in the discussion section of the paper.

●  State the results first, and then state their implications.

Are you currently working on a thesis or dissertation? Once you’ve finished your paper (implications included), our proofreading team can help ensure that your spelling, punctuation, and grammar are perfect. Consider submitting a 500-word document for free.

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Research Implications & Recommendations

A Plain-Language Explainer With Examples + FREE Template

By: Derek Jansen (MBA) | Expert Reviewer: Dr Eunice Rautenbach | May 2024

The research implications and recommendations are closely related but distinctly different concepts that often trip students up. Here, we’ll unpack them using plain language and loads of examples , so that you can approach your project with confidence.

Overview: Implications & Recommendations

• What are research implications ?
• What are research recommendations ?
• Examples of implications and recommendations
• The “ Big 3 ” categories
• How to write the implications and recommendations
• Template sentences for both sections
• Key takeaways

Implications & Recommendations 101

Let’s start with the basics and define our terms.

At the simplest level, research implications refer to the possible effects or outcomes of a study’s findings. More specifically, they answer the question, “ What do these findings mean?” . In other words, the implications section is where you discuss the broader impact of your study’s findings on theory, practice and future research.

This discussion leads us to the recommendations section , which is where you’ll propose specific actions based on your study’s findings and answer the question, “ What should be done next?” . In other words, the recommendations are practical steps that stakeholders can take to address the key issues identified by your study.

In a nutshell, then, the research implications discuss the broader impact and significance of a study’s findings, while recommendations provide specific actions to take, based on those findings. So, while both of these components are deeply rooted in the findings of the study, they serve different functions within the write up.

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Examples: Implications & Recommendations

The distinction between research implications and research recommendations might still feel a bit conceptual, so let’s look at one or two practical examples:

Let’s assume that your study finds that interactive learning methods significantly improve student engagement compared to traditional lectures. In this case, one of your recommendations could be that schools incorporate more interactive learning techniques into their curriculums to enhance student engagement.

Let’s imagine that your study finds that patients who receive personalised care plans have better health outcomes than those with standard care plans. One of your recommendations might be that healthcare providers develop and implement personalised care plans for their patients.

Now, these are admittedly quite simplistic examples, but they demonstrate the difference (and connection ) between the research implications and the recommendations. Simply put, the implications are about the impact of the findings, while the recommendations are about proposed actions, based on the findings.

The “Big 3” Categories

Now that we’ve defined our terms, let’s dig a little deeper into the implications – specifically, the different types or categories of research implications that exist.

Broadly speaking, implications can be divided into three categories – theoretical implications, practical implications and implications for future research .

Theoretical implications relate to how your study’s findings contribute to or challenge existing theories. For example, if a study on social behaviour uncovers new patterns, it might suggest that modifications to current psychological theories are necessary.

Practical implications , on the other hand, focus on how your study’s findings can be applied in real-world settings. For example, if your study demonstrated the effectiveness of a new teaching method, this would imply that educators should consider adopting this method to improve learning outcomes.

Practical implications can also involve policy reconsiderations . For example, if a study reveals significant health benefits from a particular diet, an implication might be that public health guidelines be re-evaluated.

Last but not least, there are the implications for future research . As the name suggests, this category of implications highlights the research gaps or new questions raised by your study. For example, if your study finds mixed results regarding a relationship between two variables, it might imply the need for further investigation to clarify these findings.

To recap then, the three types of implications are the theoretical, the practical and the implications on future research. Regardless of the category, these implications feed into and shape the recommendations , laying the foundation for the actions you’ll propose.

How To Write The  Sections

Now that we’ve laid the foundations, it’s time to explore how to write up the implications and recommendations sections respectively.

Let’s start with the “ where ” before digging into the “ how ”. Typically, the implications will feature in the discussion section of your document, while the recommendations will be located in the conclusion . That said, layouts can vary between disciplines and institutions, so be sure to check with your university what their preferences are.

For the implications section, a common approach is to structure the write-up based on the three categories we looked at earlier – theoretical, practical and future research implications. In practical terms, this discussion will usually follow a fairly formulaic sentence structure – for example:

This research provides new insights into [theoretical aspect], indicating that…

The study’s outcomes highlight the potential benefits of adopting [specific practice] in..

This study raises several questions that warrant further investigation, such as…

Moving onto the recommendations section, you could again structure your recommendations using the three categories. Alternatively, you could structure the discussion per stakeholder group – for example, policymakers, organisations, researchers, etc.

Again, you’ll likely use a fairly formulaic sentence structure for this section. Here are some examples for your inspiration: 

Based on the findings, [specific group] should consider adopting [new method] to improve…

To address the issues identified, it is recommended that legislation should be introduced to…

Researchers should consider examining [specific variable] to build on the current study’s findings.

Remember, you can grab a copy of our tried and tested templates for both the discussion and conclusion sections over on the Grad Coach blog. You can find the links to those, as well as loads of other free resources, in the description 🙂

FAQs: Implications & Recommendations

How do i determine the implications of my study.

To do this, you’ll need to consider how your findings address gaps in the existing literature, how they could influence theory, practice, or policy, and the potential societal or economic impacts.

When thinking about your findings, it’s also a good idea to revisit your introduction chapter, where you would have discussed the potential significance of your study more broadly. This section can help spark some additional ideas about what your findings mean in relation to your original research aims. 

Should I discuss both positive and negative implications?

Absolutely. You’ll need to discuss both the positive and negative implications to provide a balanced view of how your findings affect the field and any limitations or potential downsides.

Can my research implications be speculative?

Yes and no. While implications are somewhat more speculative than recommendations and can suggest potential future outcomes, they should be grounded in your data and analysis. So, be careful to avoid overly speculative claims.

How do I formulate recommendations?

Ideally, you should base your recommendations on the limitations and implications of your study’s findings. So, consider what further research is needed, how policies could be adapted, or how practices could be improved – and make proposals in this respect.

How specific should my recommendations be?

Your recommendations should be as specific as possible, providing clear guidance on what actions or research should be taken next. As mentioned earlier, the implications can be relatively broad, but the recommendations should be very specific and actionable. Ideally, you should apply the SMART framework to your recommendations.

Can I recommend future research in my recommendations?

Absolutely. Highlighting areas where further research is needed is a key aspect of the recommendations section. Naturally, these recommendations should link to the respective section of your implications (i.e., implications for future research).

Wrapping Up: Key Takeaways

We’ve covered quite a bit of ground here, so let’s quickly recap.

• Research implications refer to the possible effects or outcomes of a study’s findings.
• The recommendations section, on the other hand, is where you’ll propose specific actions based on those findings.
• You can structure your implications section based on the three overarching categories – theoretical, practical and future research implications.
• You can carry this structure through to the recommendations as well, or you can group your recommendations by stakeholder.

Remember to grab a copy of our tried and tested free dissertation template, which covers both the implications and recommendations sections. If you’d like 1:1 help with your research project, be sure to check out our private coaching service, where we hold your hand throughout the research journey, step by step.

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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• A Research Guide
• Research Paper Guide

How to Write Implications in Research

• Implications definition
• Recommendations vs implications
• Types of implications in research
• Step-by-step implications writing guide

Research implications examples

What the implications of the research definition?

• Theoretical implications stand for all the new additions to theories that have already been presented in the past. At the same time, one can use a totally new theory that provides a background and a framework for a study.
• Practical implications are about potential consequences that show the practical side of things.

Recommendations VS Implications

• Implied content versus proposed writing. It means that an implication should provide an outcome from your study. The recommendation is always based on the outcome, along with your words as a personal opinion.
• Potential impact a study may have versus a specific act. When you are composing your research paper, your implications have the purpose of discussing how the findings of the study matter. They should tell how your research has an impact on the subject that you address. Now, unlike the implications section of the research paper, recommendations refer to peculiar actions or steps you must take. They should be based on your opinion precisely and talk about what must be done since your research findings confirm that.

What are the types of implications in research?

• Political implications. These are mostly common for Law and Political Sciences students basing implications on a certain study, a speech, or legislative standards. It is a case when implications and recommendations can also be used to achieve an efficient result.
• Technological implications. When dealing with a technological implication, it serves as special implications for future research manuals where you discuss the study with several examples. Do not use a methodology in this section, as it can only be mentioned briefly.
• Findings related to policies. When you have implemented a special policy or you are dealing with a medical or legal finding, you should add it to your policy. Adding an implications section is necessary when it must be highlighted in your research.
• Topical (subject) implications. These are based on your subject and serve as a way to clarify things or as a method to narrow things down by supporting the finding before it is linked to a thesis statement or your main scientific argument.

Step-by-step implications in research writing guide

Step 1: talk about what has been discovered in your research., step 2: name the differences compared to what previous studies have found., step 3: discuss the implications of your findings., step 4: add specific information to showcase your contributions., step 5: match it with your discussion and thesis statement..

Green energy can benefit from the use of vertical turbines versus horizontal turbines due to construction methods and saving costs. 

The use of AI-based apps that contain repetition and grammar-checking will help ESL students and learners with special needs. 

Most studies provide more research on the social emphasis that influences the problem of bullying in the village area. It points out that most people have different cultural behavior where the problem of bullying is approached differently.

If you encounter challenges in terms of precise replication, you can use a CR genetic code to follow the policies used in 1994. Considering the theoretical limitations, it is necessary to provide exact theories and practical steps. It will help to resolve the challenge and compare what has been available back then. It will help to trace the temporal backline. 

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What Are Implications in Research? | Examples & Tips

As a researcher, you know you need to provide a background for your study and a clear rationale and to formulate the statement of the problem in a way that leaves no doubt that your work is relevant and important. You also need to guide the reader carefully through your story from beginning to end without leaving any methodological questions unanswered. 

But many authors, when arriving at the end of their paper, run out of steam or lose the thread a bit and struggle with finding an ending for their work. Something can then appear missing, even if the discussion section summarizes the findings clearly, relates them back to the questions raised in the introduction section , and discusses them in the context of earlier works. A tired author who just made it to the end can often not see these missing elements and may finish off their paper with a conclusion section that is more or less a repetition of what has already been stated. After all, what more is there to be said? 

But as sure as the sun will rise again the day after you finally submitted, you will get your paper back from your supervisor or the reviewers with a comment that says, “implications are missing.” For a reader who is not as invested in every little detail of your design and analyses, the main questions that a paper has to answer are “why was this study necessary?” and “why are the findings of this study significant, and for whom, and what are we supposed to do with them now?” The latter are the implications of your work. 

Didn’t I explain the implications in my introduction section?

You will hopefully have already explained why and for whom your study is important. But you now also need to clearly state how you think your actual findings (which might differ from what you expected to find at the beginning) may be relevant and/or can be used in practical or theoretical ways, for future research, or by policymakers. These implications need to be based on your study’s parameters and results, and potential limitations of your methodology or sample should be taken into account to avoid overgeneralization. 

If you make the reader guess what the significance of your work might be or let them assume you don’t think that your work will be important for anyone except yourself and your colleagues who share your enthusiasm because they are working on the same topic, then an editor or reviewer might easily see that as a reason for a desk-reject. To avoid this, in the following, we will give you an overview of the different types of implications that research findings can have, provide some examples for your inspiration, and clarify where your implications should go in your paper. 

Table of Contents:

• Types of Implications in Research

Recommendations Versus Implications 

• Research Implications Examples 
• Where Do the Implications Go in Your paper?

Types of Implications in Research 

Depending on the type of research you are doing (clinical, philosophical, political…) the implications of your findings can likewise be clinical, philosophical, political, social, ethical—you name it. The most important distinction, however, is the one between practical implications and theoretical implications, and what many reviewers immediately notice and flag as an issue is when there is no mention of any kind of practical contribution of the work described in a paper. 

Of course, if you study a mathematical theory, then your findings might simply lead to the debunking of another theory as false, and you might need to do some mental gymnastics if you really wanted to apply that to a real-world problem. But chances are, in that case, your reviewers and readers won’t ask for a real-world implication. In most other cases, however, if you really want to convince your audience that your work deserves attention, publication, prizes, and whatnot, then you need to link whatever you did in the lab or found in the library to real life and highlight how your findings might have a lasting effect on your field (for example, methodologically), common practices (e.g., patient treatment or teaching standards), society at large (maybe the way we communicate), or ethical standards (e.g., in animal research). 

The question is not whether your findings will change the world, but whether they could if they were publicized and implemented—according to the Merriam-Webster online dictionary , the essential meaning of implication is a “possible future effect or result”. This possible result is what you have to identify and describe. And while being creative is certainly allowed, make sure your assumptions stay within realistic expectations, and don’t forget to take the limitations of your methodology or your sample into account. 

If you studied the genetic basis of a disease in some animal model, then make sure you have good reason to draw conclusions about the treatment of the same disease in humans if you don’t want to put off the editor who decides whether to even send your manuscript out for review. Likewise, if you explored the effects of the Covid-19 pandemic on higher education institutions in your country, then make sure the conclusions you draw hold in the context of other countries’ pandemic situations and restrictions and differences across education systems before you claim that they are relevant in a global context. 

Implications, as we already explored, state the importance of your study and how your findings may be relevant for the fine-tuning of certain practices, theoretical models, policymaking, or future research studies. As stated earlier, that does not necessarily mean that you believe your findings will change the world tomorrow, but that you have reason to believe they could have an impact in a specific way. Recommendations, on the other hand, are specific suggestions regarding the best course of action in a certain situation based on your findings. If, for example, you used three different established methods in your field to tackle the same problem, compared the outcomes, and concluded that one of these methods is, in fact, insufficient and should not be used anymore, then that is a recommendation for future research. 

Or if you analyzed how a monetary “Corona support program” in your country affected the local economy and found that most of the money the government provided went to Amazon and not to local businesses, then you can recommend that your government come up with a better plan next time. Such specific recommendations should usually follow the implications, not the other way around, because you always need to identify the implications of your work, but not every study allows the author to make practical suggestions or real-world recommendations.

Research Implications Examples

Clinical implications  .

Let’s say you discovered a new antibiotic that could eliminate a specific pathogen effectively without generating resistance (the main problem with antibiotics). The clinical implications of your findings would then be that infections with this pathogen could be more rapidly treated than before (without you predicting or suggesting any specific action to happen as a result of your findings). A recommendation would be that doctors should start using this new antibiotic, that it should be included in the official treatment guidelines, that it should be covered by the national health insurance of your country, etc.—but depending on how conclusive your findings are or how much more research or development might be needed to get from your findings to the actual medication, such recommendations might be a big stretch. The implications, however, since they state the potential of your findings, are valid in any case and should not be missing from your discussion section, even if your findings are just one small step along the way.

Social implications 

The social implications of the study are defined as the ability or potential of research to impact society in visible ways. One of the obvious fields of research that strives for a social impact through the implementation of evidence that increases the overall quality of people’s lives is psychology. Whether your research explores the new work-life-balance movement and its effect on mental well-being, psychological interventions at schools to compensate for the stress many children are experiencing since the beginning of the Covid-19 pandemic, or how work from home is changing family dynamics, you can most likely draw conclusions that go beyond just your study sample and describe potential (theoretical or practical) effects of your findings in the real world. Be careful, however, that you don’t overgeneralize from your sample or your data to the general population without having solid reasons to do so (and explain those reasons).

Implications for future research

Even if your findings are not going to lead to societal changes, new educational policies, or an overhaul of the national pension system, they might have important implications for future research studies. Maybe you used a new technique that is more precise or more efficient or way cheaper than existing methods and this could enable more labs around the world to study a specific problem. Or maybe you found that a gene that is known to be involved in one disease might also be involved in another disease, which opens up new avenues for research and treatment options. As stated earlier, make sure you don’t confuse recommendations (which you might not be able to make, based on your findings, and don’t necessarily have to) with implications, which are the potential effect that your findings could have—independently of whether you have any influence on that. 

Where Do the Implications Go in Your Paper? 

The implications are part of your discussion section, where you summarize your findings and then put them into context—this context being earlier research but also the potential effect your findings could have in the real world, in whatever scenario you think might be relevant. There is no “implication section” and no rule as to where in the discussion section you need to include these details because the order of information depends on how you structured your methods and your results section and how your findings turned out to prove or disprove your hypotheses. You simply need to work the potential effects of your findings into your discussion section in a logical way.

But the order of information is relevant when it comes to your conclusion at the very end of your discussion section: Here, you start with a very short summary of your study and results, then provide the (theoretical, practical, ethical, social, technological…) implications of your work, and end with a specific recommendation if (and only if) your findings call for that. If you have not paid attention to the importance of your implications while writing your discussion section, then this is your chance to fix that before you finalize and submit your paper and let an editor and reviewers judge the relevance of your work. 

Make sure you do not suddenly come up with practical ideas that look like they were plucked out of the air because someone reminded you to “add some implications” at the last minute. If you don’t know where to start, then go back to your introduction section, look at your rationale and research questions, look at how your findings answered those questions, and ask yourself who else could benefit from knowing what you know now.

Consider Using English Editing Services 

And before you submit your manuscript to your target journal’s editor, be sure to get professional English editing services from Wordvice, including academic editing and manuscript editing , which are tailored to the needs of your paper’s subject area. If you need instant proofreading or paraphrasing while drafting your work, check out our online AI text editor , Wordvice AI, which is trained on millions of words of academic writing data and tailored for research writers.

For more advice on how to write all the different parts of your research paper , on how to make a research paper outline if you are struggling with putting everything you did together, or on how to write the best cover letter that will convince an editor to send your manuscript out for review, head over to the Wordvice academic resources pages, where we have dozens of helpful articles and videos on research writing and publications.

• Manuscript Preparation

What are Implications in Research?

• 3 minute read
• 103.6K views

Table of Contents

Manuscripts that do not mention the implications of the study are often desk-rejected by journals. What constitutes the ‘implications’ of research, and why is it important to include research implications in your manuscript?

Research implications: An overview

Once you have laid out the key findings in your paper, you have to discuss how they will likely impact the world. What is the significance of your study to policymakers, the lay person, or other researchers? This speculation, made in good faith, constitutes your study’ implications.

A research paper that does not explain the study’s importance in light of its findings exists in a vacuum. The paper may be relevant to you, the author, and some of your co-workers. But it is unclear how others will benefit from reading it.

How can the findings of your study help create a better world? What can we infer from your conclusion about the current state of research in your field or the quality of methods you employed? These are all important implications of your study.

You cannot predict how your study will influence the world or research in the future. You can only make reasonable speculations. In order to ensure that the implications are reasonable, you have to be mindful of the limitations of your study.

In the research context, only speculations supported by data count as valid implications. If the implications you draw do not logically follow the key findings of your study, they may sound overblown or outright preposterous.

Suppose your study evaluated the effects of a new drug in the adult population. In that case, you could not honestly speculate on how the drug will impact paediatric care. Thus, the implications you draw from your study cannot exceed its scope.

Practical implications

Imagine that your study found a popular type of cognitive therapy to be ineffective in treating insomnia. Your findings imply that psychologists using this type of therapy were not seeing actual results but an expectancy effect. Studies that can potentially impact real-world problems by prompting policy change or change in treatments have practical implications.

It can be helpful to understand the difference between an implication of your study and a recommendation. Suppose your study compares two or more types of therapy, ranks them in the order of effectiveness, and explicitly asks clinicians to follow the most effective type. The suggestion made in the end constitutes a ‘recommendation’ and not an ‘implication’.

Theoretical implications

Are your findings in line with previous research? Did your results validate the methods used in previous research or invalidate them? Has your study discovered a new and helpful way to do experiments? Speculations on how your findings can potentially impact research in your field of study are theoretical implications.

The main difference between practical and theoretical implications is that theoretical implications may not be readily helpful to policymakers or the public.

How to Write Implications in Research

Implications usually form an essential part of the conclusion section of a research paper. As we have mentioned in a previous article, this section starts by summarising your work, but this time emphasises your work’s significance .

While writing the implications, it is helpful to ask, “who will benefit the most from reading my paper?”—policymakers, physicians, the public, or other researchers. Once you know your target population, explain how your findings can help them.

Think about how the findings in your study are similar or dissimilar to the findings of previous studies. Your study may reaffirm or disprove the results of other studies. This is an important implication.

Suggest future directions for research in the subject area in light of your findings or further research to confirm your findings. These are also crucial implications.

Do not try to exaggerate your results, and make sure your tone reflects the strength of your findings. If the implications mentioned in your paper are convincing, it can improve visibility for your work and spur similar studies in your field.

For more information on the importance of implications in research, and guidance on how to include them in your manuscript, visit Elsevier Author Services now!

Differentiating between the abstract and the introduction of a research paper

• Research Process

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Implications or Recommendations in Research: What's the Difference?

• Peer Review

High-quality research articles that get many citations contain both implications and recommendations. Implications are the impact your research makes, whereas recommendations are specific actions that can then be taken based on your findings, such as for more research or for policymaking.

Updated on August 23, 2022

That seems clear enough, but the two are commonly confused.

This confusion is especially true if you come from a so-called high-context culture in which information is often implied based on the situation, as in many Asian cultures. High-context cultures are different from low-context cultures where information is more direct and explicit (as in North America and many European cultures).

Let's set these two straight in a low-context way; i.e., we'll be specific and direct! This is the best way to be in English academic writing because you're writing for the world.

Implications and recommendations in a research article

The standard format of STEM research articles is what's called IMRaD:

• Introduction
• Discussion/conclusions

Some journals call for a separate conclusions section, while others have the conclusions as the last part of the discussion. You'll write these four (or five) sections in the same sequence, though, no matter the journal.

The discussion section is typically where you restate your results and how well they confirmed your hypotheses. Give readers the answer to the questions for which they're looking to you for an answer.

At this point, many researchers assume their paper is finished. After all, aren't the results the most important part? As you might have guessed, no, you're not quite done yet.

The discussion/conclusions section is where to say what happened and what should now happen

The discussion/conclusions section of every good scientific article should contain the implications and recommendations.

The implications, first of all, are the impact your results have on your specific field. A high-impact, highly cited article will also broaden the scope here and provide implications to other fields. This is what makes research cross-disciplinary.

Recommendations, however, are suggestions to improve your field based on your results.

These two aspects help the reader understand your broader content: How and why your work is important to the world. They also tell the reader what can be changed in the future based on your results.

These aspects are what editors are looking for when selecting papers for peer review.

Implications and recommendations are, thus, written at the end of the discussion section, and before the concluding paragraph. They help to “wrap up” your paper. Once your reader understands what you found, the next logical step is what those results mean and what should come next.

Then they can take the baton, in the form of your work, and run with it. That gets you cited and extends your impact!

The order of implications and recommendations also matters. Both are written after you've summarized your main findings in the discussion section. Then, those results are interpreted based on ongoing work in the field. After this, the implications are stated, followed by the recommendations.

Writing an academic research paper is a bit like running a race. Finish strong, with your most important conclusion (recommendation) at the end. Leave readers with an understanding of your work's importance. Avoid generic, obvious phrases like "more research is needed to fully address this issue." Be specific.

The main differences between implications and recommendations (table)

Now let's dig a bit deeper into actually how to write these parts.

What are implications?

Research implications tell us how and why your results are important for the field at large. They help answer the question of “what does it mean?” Implications tell us how your work contributes to your field and what it adds to it. They're used when you want to tell your peers why your research is important for ongoing theory, practice, policymaking, and for future research.

Crucially, your implications must be evidence-based. This means they must be derived from the results in the paper.

Implications are written after you've summarized your main findings in the discussion section. They come before the recommendations and before the concluding paragraph. There is no specific section dedicated to implications. They must be integrated into your discussion so that the reader understands why the results are meaningful and what they add to the field.

A good strategy is to separate your implications into types. Implications can be social, political, technological, related to policies, or others, depending on your topic. The most frequently used types are theoretical and practical. Theoretical implications relate to how your findings connect to other theories or ideas in your field, while practical implications are related to what we can do with the results.

Key features of implications

• State the impact your research makes
• Helps us understand why your results are important
• Must be evidence-based
• Written in the discussion, before recommendations
• Can be theoretical, practical, or other (social, political, etc.)

Examples of implications

Let's take a look at some examples of research results below with their implications.

The result : one study found that learning items over time improves memory more than cramming material in a bunch of information at once .

The implications : This result suggests memory is better when studying is spread out over time, which could be due to memory consolidation processes.

The result : an intervention study found that mindfulness helps improve mental health if you have anxiety.

The implications : This result has implications for the role of executive functions on anxiety.

The result : a study found that musical learning helps language learning in children .

The implications : these findings suggest that language and music may work together to aid development.

What are recommendations?

As noted above, explaining how your results contribute to the real world is an important part of a successful article.

Likewise, stating how your findings can be used to improve something in future research is equally important. This brings us to the recommendations.

Research recommendations are suggestions and solutions you give for certain situations based on your results. Once the reader understands what your results mean with the implications, the next question they need to know is "what's next?"

Recommendations are calls to action on ways certain things in the field can be improved in the future based on your results. Recommendations are used when you want to convey that something different should be done based on what your analyses revealed.

Similar to implications, recommendations are also evidence-based. This means that your recommendations to the field must be drawn directly from your results.

The goal of the recommendations is to make clear, specific, and realistic suggestions to future researchers before they conduct a similar experiment. No matter what area your research is in, there will always be further research to do. Try to think about what would be helpful for other researchers to know before starting their work.

Recommendations are also written in the discussion section. They come after the implications and before the concluding paragraphs. Similar to the implications, there is usually no specific section dedicated to the recommendations. However, depending on how many solutions you want to suggest to the field, they may be written as a subsection.

Key features of recommendations

• Statements about what can be done differently in the field based on your findings
• Must be realistic and specific
• Written in the discussion, after implications and before conclusions
• Related to both your field and, preferably, a wider context to the research

Examples of recommendations

Here are some research results and their recommendations.

A meta-analysis found that actively recalling material from your memory is better than simply re-reading it .

• The recommendation: Based on these findings, teachers and other educators should encourage students to practice active recall strategies.

A medical intervention found that daily exercise helps prevent cardiovascular disease .

• The recommendation: Based on these results, physicians are recommended to encourage patients to exercise and walk regularly. Also recommended is to encourage more walking through public health offices in communities.

A study found that many research articles do not contain the sample sizes needed to statistically confirm their findings .

The recommendation: To improve the current state of the field, researchers should consider doing power analysis based on their experiment's design.

What else is important about implications and recommendations?

When writing recommendations and implications, be careful not to overstate the impact of your results. It can be tempting for researchers to inflate the importance of their findings and make grandiose statements about what their work means.

Remember that implications and recommendations must be coming directly from your results. Therefore, they must be straightforward, realistic, and plausible.

Another good thing to remember is to make sure the implications and recommendations are stated clearly and separately. Do not attach them to the endings of other paragraphs just to add them in. Use similar example phrases as those listed in the table when starting your sentences to clearly indicate when it's an implication and when it's a recommendation.

When your peers, or brand-new readers, read your paper, they shouldn't have to hunt through your discussion to find the implications and recommendations. They should be clear, visible, and understandable on their own.

That'll get you cited more, and you'll make a greater contribution to your area of science while extending the life and impact of your work.

The AJE Team

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Lab Report Format: Step-by-Step Guide & Examples

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

In psychology, a lab report outlines a study’s objectives, methods, results, discussion, and conclusions, ensuring clarity and adherence to APA (or relevant) formatting guidelines.

A typical lab report would include the following sections: title, abstract, introduction, method, results, and discussion.

The title page, abstract, references, and appendices are started on separate pages (subsections from the main body of the report are not). Use double-line spacing of text, font size 12, and include page numbers.

The report should have a thread of arguments linking the prediction in the introduction to the content of the discussion.

This must indicate what the study is about. It must include the variables under investigation. It should not be written as a question.

Title pages should be formatted in APA style .

The abstract provides a concise and comprehensive summary of a research report. Your style should be brief but not use note form. Look at examples in journal articles . It should aim to explain very briefly (about 150 words) the following:

• Start with a one/two sentence summary, providing the aim and rationale for the study.
• Describe participants and setting: who, when, where, how many, and what groups?
• Describe the method: what design, what experimental treatment, what questionnaires, surveys, or tests were used.
• Describe the major findings, including a mention of the statistics used and the significance levels, or simply one sentence summing up the outcome.
• The final sentence(s) outline the study’s “contribution to knowledge” within the literature. What does it all mean? Mention the implications of your findings if appropriate.

The abstract comes at the beginning of your report but is written at the end (as it summarises information from all the other sections of the report).

Introduction

The purpose of the introduction is to explain where your hypothesis comes from (i.e., it should provide a rationale for your research study).

Ideally, the introduction should have a funnel structure: Start broad and then become more specific. The aims should not appear out of thin air; the preceding review of psychological literature should lead logically into the aims and hypotheses.

• Start with general theory, briefly introducing the topic. Define the important key terms.
• Explain the theoretical framework.
• Summarise and synthesize previous studies – What was the purpose? Who were the participants? What did they do? What did they find? What do these results mean? How do the results relate to the theoretical framework?
• Rationale: How does the current study address a gap in the literature? Perhaps it overcomes a limitation of previous research.
• Aims and hypothesis. Write a paragraph explaining what you plan to investigate and make a clear and concise prediction regarding the results you expect to find.

There should be a logical progression of ideas that aids the flow of the report. This means the studies outlined should lead logically to your aims and hypotheses.

Do be concise and selective, and avoid the temptation to include anything in case it is relevant (i.e., don’t write a shopping list of studies).

USE THE FOLLOWING SUBHEADINGS:

Participants

• How many participants were recruited?
• Say how you obtained your sample (e.g., opportunity sample).
• Give relevant demographic details (e.g., gender, ethnicity, age range, mean age, and standard deviation).
• State the experimental design .
• What were the independent and dependent variables ? Make sure the independent variable is labeled and name the different conditions/levels.
• For example, if gender is the independent variable label, then male and female are the levels/conditions/groups.
• How were the IV and DV operationalized?
• Identify any controls used, e.g., counterbalancing and control of extraneous variables.
• List all the materials and measures (e.g., what was the title of the questionnaire? Was it adapted from a study?).
• You do not need to include wholesale replication of materials – instead, include a ‘sensible’ (illustrate) level of detail. For example, give examples of questionnaire items.
• Include the reliability (e.g., alpha values) for the measure(s).
• Describe the precise procedure you followed when conducting your research, i.e., exactly what you did.
• Describe in sufficient detail to allow for replication of findings.
• Be concise in your description and omit extraneous/trivial details, e.g., you don’t need to include details regarding instructions, debrief, record sheets, etc.
• Assume the reader has no knowledge of what you did and ensure that he/she can replicate (i.e., copy) your study exactly by what you write in this section.
• Write in the past tense.
• Don’t justify or explain in the Method (e.g., why you chose a particular sampling method); just report what you did.
• Only give enough detail for someone to replicate the experiment – be concise in your writing.
• The results section of a paper usually presents descriptive statistics followed by inferential statistics.
• Report the means, standard deviations, and 95% confidence intervals (CIs) for each IV level. If you have four to 20 numbers to present, a well-presented table is best, APA style.
• Name the statistical test being used.
• Report appropriate statistics (e.g., t-scores, p values ).
• Report the magnitude (e.g., are the results significant or not?) as well as the direction of the results (e.g., which group performed better?).
• It is optional to report the effect size (this does not appear on the SPSS output).
• Avoid interpreting the results (save this for the discussion).
• Make sure the results are presented clearly and concisely. A table can be used to display descriptive statistics if this makes the data easier to understand.
• DO NOT include any raw data.
• Follow APA style.

Use APA Style

• Numbers reported to 2 d.p. (incl. 0 before the decimal if 1.00, e.g., “0.51”). The exceptions to this rule: Numbers which can never exceed 1.0 (e.g., p -values, r-values): report to 3 d.p. and do not include 0 before the decimal place, e.g., “.001”.
• Percentages and degrees of freedom: report as whole numbers.
• Statistical symbols that are not Greek letters should be italicized (e.g., M , SD , t , X 2 , F , p , d ).
• Include spaces on either side of the equals sign.
• When reporting 95%, CIs (confidence intervals), upper and lower limits are given inside square brackets, e.g., “95% CI [73.37, 102.23]”
• Outline your findings in plain English (avoid statistical jargon) and relate your results to your hypothesis, e.g., is it supported or rejected?
• Compare your results to background materials from the introduction section. Are your results similar or different? Discuss why/why not.
• How confident can we be in the results? Acknowledge limitations, but only if they can explain the result obtained. If the study has found a reliable effect, be very careful suggesting limitations as you are doubting your results. Unless you can think of any c onfounding variable that can explain the results instead of the IV, it would be advisable to leave the section out.
• Suggest constructive ways to improve your study if appropriate.
• What are the implications of your findings? Say what your findings mean for how people behave in the real world.
• Suggest an idea for further research triggered by your study, something in the same area but not simply an improved version of yours. Perhaps you could base this on a limitation of your study.
• Concluding paragraph – Finish with a statement of your findings and the key points of the discussion (e.g., interpretation and implications) in no more than 3 or 4 sentences.

Reference Page

The reference section lists all the sources cited in the essay (alphabetically). It is not a bibliography (a list of the books you used).

In simple terms, every time you refer to a psychologist’s name (and date), you need to reference the original source of information.

If you have been using textbooks this is easy as the references are usually at the back of the book and you can just copy them down. If you have been using websites then you may have a problem as they might not provide a reference section for you to copy.

References need to be set out APA style :

Author, A. A. (year). Title of work . Location: Publisher.

Journal Articles

Author, A. A., Author, B. B., & Author, C. C. (year). Article title. Journal Title, volume number (issue number), page numbers

A simple way to write your reference section is to use Google scholar . Just type the name and date of the psychologist in the search box and click on the “cite” link.

Next, copy and paste the APA reference into the reference section of your essay.

Once again, remember that references need to be in alphabetical order according to surname.

Psychology Lab Report Example

Quantitative paper template.

Quantitative professional paper template: Adapted from “Fake News, Fast and Slow: Deliberation Reduces Belief in False (but Not True) News Headlines,” by B. Bago, D. G. Rand, and G. Pennycook, 2020,  Journal of Experimental Psychology: General ,  149 (8), pp. 1608–1613 ( https://doi.org/10.1037/xge0000729 ). Copyright 2020 by the American Psychological Association.

Qualitative paper template

Qualitative professional paper template: Adapted from “‘My Smartphone Is an Extension of Myself’: A Holistic Qualitative Exploration of the Impact of Using a Smartphone,” by L. J. Harkin and D. Kuss, 2020,  Psychology of Popular Media ,  10 (1), pp. 28–38 ( https://doi.org/10.1037/ppm0000278 ). Copyright 2020 by the American Psychological Association.

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Burt J, Campbell J, Abel G, et al. Improving patient experience in primary care: a multimethod programme of research on the measurement and improvement of patient experience. Southampton (UK): NIHR Journals Library; 2017 Apr. (Programme Grants for Applied Research, No. 5.9.)

Improving patient experience in primary care: a multimethod programme of research on the measurement and improvement of patient experience.

Chapter 12 conclusions, implications for practice and recommendations for future research.

• Conclusions

In Chapter 1 we outlined how, following the introduction of a wide range of quality improvement strategies as part of an overarching ‘clinical governance’ strategy in the late 1990s, there had been step changes in the management of major chronic diseases in the NHS. However, the ways in which patients experienced health care had not been given such a priority and the need for a rebalancing was seen by increasing attention to patient experience in policy documents, the routine publication of patient experience data, benchmarking of hospitals in relation to patient experience and even an (ill-fated) attempt to attach payments to patients’ assessments of their GP ’s care.

There has therefore been widespread acceptance that good patient experience is an important outcome of care in its own right and our work 304 and that of others 305 has shown that patient experience is a domain of quality that is distinct from, but complementary to, the quality of clinical care. Although an increasing number of surveys have been developed to measure patient experience, there has been equally widespread acceptance that these measures have not been very effective at actually improving care. 45 This is the background to our programme of work. Entitled IMPROVE , we aimed to find better ways of both measuring and using information on patient experience that would lead to improvements in patient care in both in-hours and out-of-hours primary care settings.

In the introduction, we described a range of ways of obtaining patient feedback on their care, including surveys, focus groups and analysis of complaints. In this programme, we have focused on the use of patient surveys as they are the dominant method currently used in the UK. However, in Chapter 10 we describe an exploratory trial of RTF , which moves away from the paper-based questionnaires that still dominate the measurement of patient experience in the NHS.

This programme had seven aims, each of which was tied closely to one work package of research. These aims were to:

• understand how general practices respond to low patient survey scores, testing a range of approaches that could be used to improve patients’ experience of care
• estimate the extent to which aggregation of scores to practice level in the national study masks differences between individual doctors
• investigate how patients’ ratings on questions in the GP Patient Survey relate to actual behaviour by GPs in consultations
• understand better patients’ responses to questions on communication and seeing a doctor of their choice
• understand the reasons why minority ethnic groups, especially South Asian populations, give lower scores on patient surveys than the white British population
• carry out an exploratory RCT of an intervention to improve patient experience, using tools developed in earlier parts of the programme
• investigate how the results of the GP Patient Survey can be used to improve patients’ experience of out-of-hours care.

The aims of the programme did not change during the 5 years of our research, although some details of the research were modified as the work progressed (we have summarised any changes in each individual chapter). We presented the results of our research under three broad headings and also use these headings in this conclusions chapter, namely:

• understanding patient experience data (aims 3 and 4)
• understanding patient experience in minority ethnic groups (aim 5)
• using data on patient experience for quality improvement (aims 1, 2, 6 and 7).

Understanding patient experience data

Patient surveys are now widely used in many countries, yet still comparatively little is known about what experiences lead patients to respond in particular ways in these surveys. What drives them to tick particular boxes and how do those responses relate to the care that they have actually received? We approached this in two main studies, one in which we asked patients directly about how they chose certain items on the questionnaire while showing them a video of their consultation (see Chapter 2 ) and one in which we compared their responses with those of expert raters using two standard instruments for assessing videos of consultations (see Chapter 3 ). The results of these studies have important implications for the interpretation of survey data, particularly data focused on patient evaluations of specific encounters with health-care professionals.

The first study (see Chapter 2 ) showed that, although patients readily criticised their care when reviewing GP consultations on video, they had been reluctant to be critical when completing a questionnaire after the consultation. Reasons for this included the need to maintain a relationship with the GP (including uncertainty about how confidential survey results would be) and their gratitude for the care that they had received from the NHS in the past. In addition, perceived power asymmetries made people reluctant to criticise their doctor. Patients were also disinclined to be critical when completing a questionnaire if they had actually received the treatment that they wanted. Overall, we concluded that patients find that questionnaires administered at the point of care may be limited tools for being able to feed back concerns about primary care consultations.

The second study (see Chapter 3 ) reinforced our conclusion from Chapter 2 that patient evaluations of consultations in surveys may present an uncritical view of the actual consultations. In this study videotapes of GP –patient consultations were assessed by four independent clinical raters. The results were striking. When trained raters rated communication within a consultation to be of a high standard, patients did the same (with one single exception). However, when trained raters judged the communication during a consultation to be of a poor standard, patients’ assessments varied from poor to very good. This finding again points to the reluctance of patients to criticise their doctor in questionnaire surveys. In the previous study the ‘gold standard’ was the patient’s own account of the consultation and in this study the standard was that of a trained external GP rater.

We do not think that these results mean that patient surveys cannot be used to assess the quality of general practice care. However, they do point to clear limitations. One of the concerns that GPs have about surveys (see Chapters 7 and 8 ) is that they are selectively completed by critical or grumpy patients and that survey results will therefore give a negative and biased view of their care. The results of the two studies described here suggest that the opposite is the case. Patients’ reluctance to criticise their doctor means that survey responses using evaluative type of questions are likely to give an overly positive view of their doctor’s care. This is one reason why there has been a move towards using report items in some survey instruments (though we do not know whether or not these suffer from similar problems). Because of this tendency for patients to choose the most positive response options, we suggest that absolute scores should be treated with some caution, as they may present an overly optimistic view of their care. However, this does not mean that surveys cannot be used to look at relative scores: scores from a GP that are lower than those of his or her colleagues and from GPs in other practices are likely to indicate a problem, even though high scores from other doctors or practices may conceal deficiencies in care in those practices too.

We also looked at how GPs rated their own consultations. GPs completed a form immediately after each consultation, using the same scale as the patients. GPs were certainly more inclined to criticise themselves than the patients were to criticise the care that they had received. This is entirely consistent with the findings from our subsequent interviews with patients. However, we found absolutely no correlation between patient scores and GP scores. Neither did we find any correlation between GPs’ own scores and those of expert raters who reviewed the consultations on video. GPs are clearly using different parameters when assessing their own performance, but we were not able to investigate this in more detail in this study.

When we spoke to GPs about their survey results (see Chapters 7 and 8 ), through both focus groups and face-to-face interviews, they reported how, although positive about the concept of patient feedback, they struggled to engage with and make changes under the current approaches to measurement. They also commonly expressed concern that patients would be critical of their care if they did not get what they wanted (e.g. an antibiotic prescription). This concern was borne out to some extent by our results. In our analysis of the assessment of nurses (see Chapter 4 ), a strong predictor of survey scores was whether or not patients wanted to see a nurse when they first contacted the practice. If they had wanted to see a GP but saw a nurse, the scores given to those nurses were much lower. We have no reason to think that the nurses’ communication was worse in those consultations and the low scores may therefore indicate a more general dissatisfaction of patients because of not having their original expectations met.

It is important to understand that, in line with the overall aims of the programme, the work in these two chapters focused on the assessment of communication in the primary care consultation (such as giving the patient enough time and explaining tests and treatments). Our conclusion that survey scores have more value in assessing relative performance than absolute performance of doctors may or may not hold true for other aspects of practice performance commonly assessed in surveys, such as difficulty in getting appointments, getting through on the telephone and waiting times. Patients’ reasons for not wanting to criticise their doctor may be less important when they assess what they regard as management aspects of the practice.

A second aspect of care that we identified as part of our programme of work relates to patients’ ability to see a GP of their choice. Although most of our research focused on communication, the results that we report in Chapter 4 have some important findings in relation to patient choice. 142 The results show that most patients have a particular GP who they prefer to see. It is sometimes suggested that this matters only for some population groups (e.g. not young people) but we found that this is not the case. Even among those aged 18–24 years, > 50% of respondents to the GP Patient Survey have a particular doctor who they prefer to see, rising to > 80% in those aged > 75 years. Disturbingly, a large percentage of people who have such a preference are unable to see the doctor of their choice. This percentage has risen from 30% to 40% from 2010 to 2015. One possible impact of this change comes from our analysis of data from patients who saw a nurse when they had originally wanted to see a doctor; they expressed considerable dissatisfaction with their subsequent consultation with the nurse. However, these data do not reflect what would have happened if patients had seen another doctor, just not the one of their choice.

Overall, patients express more negative opinions about choice of doctor than in any other part of the GP Patient Survey, something that may in part have got worse as a result of government policies to improve access. There is a clear tension between the ability of practices to provide rapid access and the ability of practices to provide continuity of care and data from our studies suggest that patients’ inability to see a doctor of their choice is a significant quality issue for the NHS.

Understanding patient experience in minority ethnic groups

In this part of our research, we focused our main work on survey responses from minority ethnic groups and on South Asian groups in particular. The general interest in minority ethnic groups is because they tend to report worse experiences using surveys in most countries studied, including in the UK. Our research on out-of-hours care in this programme ( see Chapter 11 ) replicated this result, with Asian and mixed ethnic groups reporting worse experiences than the white majority.

Our specific focus in the major strand of this research was on South Asian respondents because of the size of this group in England and the consistently low scores generated by this group in English surveys across both primary and secondary care settings. We focused on questionnaires competed in English; although the GP Patient Survey is available in 15 languages, a tiny minority of surveys are completed in languages other than English (typically < 0.2% of returns).

A number of potential explanations have been suggested for the lower ratings given by South Asian and other minority ethnic groups. Broadly, these relate to whether these groups of patients (1) receive lower-quality care or (2) receive the same care but rate this more negatively. 75 For example, such respondents might rate the same care more negatively if they have higher expectations or because they interpret the survey items and response options in different ways (such as being culturally less likely to check extreme options).

The last of these options was potentially the simplest to explore. Taking advantage of the large numbers of respondents available in the GP Patient Survey to examine the responses of South Asian groups using item response theory and allowing for a wide range of other sociodemographic characteristics (see Chapter 5 , Workstream 3 ), we found no evidence that South Asian respondents used the scales in a different way from white British respondents. Although these results do not provide conclusive evidence of equivalence in the way in which different respondents use the survey scales, they increase the likelihood that the worse experience reported by South Asian respondents reflects either differences in expectations or genuinely worse care. Our previous work 75 suggested that, for one aspect of care (waiting times), South Asian respondents might have higher expectations of care, implying that their lower scores on surveys might not be associated with worse care. We were able to advance our understanding of this complex issue considerably as a result of the research in this programme.

First, we showed that South Asian respondents to the GP Patient Survey tend to be registered in practices with generally low scores. This explained about half of the difference in reported experience between South Asian and white British patients (see Chapter 5 , Workstream 1 ) and identified that some practice effects were related to the ethnicity of the doctor (with minority ethnic doctors receiving lower scores for doctor–patient communication; see Chapter 5 , Workstream 4 ). However, these practice effects did not account for the low scores among South Asian patients, even though the differences were reduced when practices offered consultations in a South Asian language 172 (PhD project allied to our programme). Next, we showed that, far from being uniform across all population groups, the lower scores from South Asian patients were much more marked among older female respondents. It was therefore important in our subsequent work to ensure that these patients were represented in our research (see Chapter 5 , Workstream 2 ).

In video elicitation interviews with South Asian patients (see Chapter 2 ), we identified the same issues driving evaluations of communication in South Asian as in white British patients: their relationship with their GP (and others within the practice), their expectations of the consultation and a reluctance to criticise their doctor’s performance. The finding that South Asian patients are assessing broadly similar issues when completing questionnaires therefore still leaves unanswered the question of why scores from South Asian patients are low.

The final and most original part of this work provides insight into this (see Chapter 6 ). Here, we filmed 16 simulated consultations based on transcripts of real consultations using various combinations of white and Asian doctors and patients, with half scripted to be ‘good’ and half scripted to be ‘poor’. We showed three randomly sampled videos to each of 1120 people (half of whom were white British and half of whom were Pakistani, equally split between those aged < 55 years and those aged ≥ 55 years) and asked them to score the consultations using the communication items from the GP Patient Survey.

If the low scores reported by South Asian patients in real-life settings were the result of higher expectations on their part, then we would expect them to give lower scores in the experimental vignette situation. However, quite the reverse happened. When viewing the same consultations, South Asian respondents gave scores that were higher, indeed much higher when adjusted for sociodemographic characteristics, than those of the white British respondents. This suggests that the low scores given by South Asian patients in surveys such as the GP Patient Survey reflect care that is genuinely worse, and possibly much worse, than that experienced by their white British counterparts. This is consistent with the only previous study of this type in which predominantly written consultations were shown to people from different ethnic groups in the USA, with the conclusion being that differences in ratings were more likely to represent differences in care than differences in expectations or scale use. 81

There is a clear practice implication of this result: low scores from South Asian patients should be investigated as possible indicators of poor care. This is relevant to all settings, not just primary care.

Using data on patient experience for quality improvement

The results that we have discussed so far indicate that the results of patient experience surveys such as the GP Patient Survey can identify areas where there are important gaps in care that the NHS provides, such as patients being able to see a doctor of their choice. However, although patients tend to give very high scores for doctor–patient communication, these conceal significant negative experiences that patients describe when shown, and which independent observers can see in, recorded primary care consultations. These issues extend to minority ethnic patients and our research suggests that the negative scores that South Asian patients record (compared with those of white British patients) do represent genuine problems with care. This therefore brings us to the important issue of how data from patient surveys can be used to improve care.

Current national approaches to measuring patient experience, including communication, rely on practice-level assessments of care. In Chapter 9 , we outline the results of a patient experience survey that we conducted across 25 general practices, asking patients specifically about their experience of a particular consultation with a named GP . We found that practice-level scores for communication mask considerable variation between GPs within each practice, notably for those practices receiving poorer communication scores overall. Such ‘poorly performing’ practices, which may be identified as such through the national GP Patient Survey, may in fact contain GPs with communication skills ranging from very poor to very good. This has important implications for the use of national survey data to identify primary care practices and practitioners in need of improvement.

In Chapters 7 and 8 we describe the two studies in which we sought the views of GPs and practice staff on survey results, seeking to understand how they could better be used as quality improvement tools. Chapter 7 describes focus groups with practice staff following feedback of practice-level scores for patient experience and Chapter 8 describes interviews with GPs after we had conducted a survey in which they received individual feedback from surveys returned by patients whom they had seen in the surgery. In Chapter 11 , we describe how out-of-hours providers use data from patient surveys.

Broadly, staff in different primary care settings neither believed nor trusted patient surveys. Concerns were expressed about the validity and reliability of surveys (some practices have very low rates of response) and about the likely representativeness of those who responded. Some practice groups mentioned recent negative experiences with pay linked to survey scores as part of the QOF (a technicality of the payment schedule meant that payments could be reduced even though practice performance had improved). There was also a view expressed that some patients had unreasonable expectations: staff worked as hard as they could and could not be expected to respond to all patients’ ‘wants’. Some practices did describe improvements that they had made as a result of survey results. Those that were easiest to engage with related to practices’ office functions such as appointment systems and telephone answering systems. Addressing an individual doctor’s performance (e.g. communication skills) was much more difficult. Out-of-hours service staff were also concerned that service users did not understand the complex care pathways within urgent care settings and that this might lead to unrealistic expectations of what individual services were expected to deliver. Staff viewed surveys as necessary, but not sufficient. Clear preferences for more qualitative feedback to supplement survey scores were expressed as this provided more actionable data on which to mount quality improvement initiatives.

The doctors who we interviewed expressed markedly ambivalent views in discussing feedback from surveys. Although they had a number of concerns about individual doctor surveys (credibility, reliability, concerns about patient motivation), they also expressed positive views about the importance of patient feedback in monitoring and improving services.

These results led us to consider how patient feedback might be obtained in a way that would engage doctors more actively with patient survey results to stimulate quality improvement. We conducted a preliminary evaluation of RTF , using touch screens that patients could use to leave feedback following a primary care consultation. RTF was selected to address some of the problems identified by our research, such as providing practice feedback on a much more regular basis (e.g. fortnightly) and allowing practices the opportunity to add questions of their own to the RTF survey to increase the relevance of the results to their service.

As RTF has not been widely used, an exploratory RCT and qualitative study were conducted to answer questions about the feasibility of using RTF in real-world general practice, estimate likely response rates, obtain patient and staff views on providing feedback in this way and estimate the costs to a practice of introducing RTF. We also included facilitated feedback in one arm of the exploratory trial.

In the exploratory trial, only 2.5% of consulting patients left any RFT without prompting; however, if encouraged to leave RTF by staff, as many as 60% of patients did so. Encouragement was rare, with such encouragement provided in only 5% of > 1100 patient–staff interactions that we observed in reception areas. Of patients who used a touch screen to leave RTF, 86% found it easy to use and were positive about it as a feedback method. Lack of awareness of the screens and lack of time were the most common reasons given for not providing feedback.

Staff were broadly positive about using RTF and practices valued the ability to include their own questions in the survey. Practices that had open communication between staff members tended to be more positive about using patient feedback. Practice staff identified clear benefits from having a facilitated session for discussion of patient feedback and having protected time to discuss the results.

Had practices not been taking part in a research study, the cost of RTF to practices would have been substantial at > £1000 for the 12 weeks, with the bulk of the cost relating to provision of the equipment and analysis and feedback of the data collected from the touch screens.

Although the absolute number of patients providing RTF to each practice (> 100) was comparable to the number of respondents per practice in the national GP Patient Survey, we do now know how the considerably lower response rate in our RTF study (2.5%) would have affected the outcome of the patient experience surveys (it was not part of our study design to find this out). We do not know how representative or valuable the views of a small proportion of patients who respond are, just as we do not know how representative are the views of the very small numbers of patients providing the narrative feedback that is recorded on NHS Choices.

Considering these results together, we have been able to identify some clear learning to take forward into a future clinical trial examining the potential utility and effectiveness of RTF in informing service delivery in primary care.

• Implications for practice

The work that we have carried out over the 5 years of the programme grant has clear implications for practice. We summarise these here.

The importance of patient experience

Our research supports the continuing emphasis on obtaining patient experience feedback as an important means of informing NHS care. Although continuing effort should be invested in refining the most effective and meaningful mechanism to capture high-quality patient feedback, the key challenge is to provide primary care staff with the support and means to enable them to act on patient feedback.

The need for action on the quality of care for minority ethnic groups

There has been much speculation whether the lower scores reported by minority ethnic groups on numerous patient experience surveys are ‘real’, reflecting poorer quality of care, or are an artefact of the questionnaires used or higher expectations of care. We have now conducted a series of studies to progressively examine this issue to understand with greater certainty the major drivers of reported variations in care. Examinations of survey responses, interviews with patients and an innovative experimental vignette study combine to strongly suggest that it is the former: patients from South Asian backgrounds experience considerably poorer communication with GPs than their white British counterparts. It is of concern that survey results may be dismissed as artefactual when, in fact, they are likely to point to real areas of concern. Effort should be invested to ensure that lower scores from such groups on patient experience surveys in both primary care and secondary care are investigated as markers of poorer quality of care.

Patients give overly positive responses when rating their care

Our results show the difficulty that patients have in feeding back negative experiences in questionnaire surveys. This suggests that there is more work to be done in improving patient experience than might be suggested by the high scores that are commonly seen in patient surveys. However, patients’ reluctance to criticise a doctor or provider with whom they have to maintain an ongoing relationship will not be addressed simply by changing the survey method. Efforts should be made to ensure that providers and managers understand that absolute scores paint an optimistic picture of patients’ true views.

Surveys are not sufficient to fully capture patient feedback

Across primary and out-of-hours care settings, staff view patient surveys as necessary, but not sufficient. Alternative methods for gaining more qualitative feedback were commonly used to supplement survey scores, with free text often viewed as providing more actionable data than responses to standard survey questions. Taken alongside our findings on patients’ reluctance to criticise doctors through surveys and staff challenges to the credibility of surveys, we suggest that additional approaches are therefore needed to better capture aspects of patient experience that can be used to improve the quality of care.

The need for valid, reliable individual-level feedback for doctors

Despite the comments above, we have shown that there is substantial variation in performance within practices for aspects of care related to individual doctors (e.g. doctor–patient communication). Reporting patient experience at practice level masks this variation and makes it more difficult for doctors to relate to feedback. However, we have also shown that, if a practice has overall high scores for doctor–patient communication, it is very unlikely that such a practice contains a low-scoring doctor. In contrast, when a practice is low scoring, individual doctors may be high or low scoring. Therefore, if there are additional requirements for individual-level surveys, they could be focused on practices with low overall scores. Additionally, robust mechanisms are required to help practices, particularly lower-scoring practices, identify and support individual doctors whose patient feedback identifies areas of potential improvement.

We note that, at present, data are provided at practice level for the GP Patient Survey, scores are produced at practice level for the Friends and Family Test and GPs have to provide individual-level surveys to meet GMC requirements for revalidation. This results in considerable overlap and duplication and adds to the sense that these are ‘boxes to be ticked’ rather than sources of information that are valuable for improving care.

Patient surveys need to become more meaningful to staff

Our research shows that primary care staff in different settings are ambivalent about the value of patient surveys. Although believing in general about the importance of issues such as doctor–patient communication, they use every opportunity to challenge the credibility and reliability of scores produced by national surveys. This is not helped by their recent experiences, for example of a poorly conceived attempt to tie financial incentives to patient reports of waiting times to get an appointment 306 and the imposition of the Friends and Family Test, which is even regarded by NHS England as being of limited value for comparing health-care organisations. 60

On the whole, practices found it easier to engage with items on surveys that related to practice management (e.g. availability of appointments, ability to get through on the telephone) than to items that related to issues around communication between patients and clinical staff. Staff viewed surveys as necessary, but not sufficient, and expressed a clear preference for qualitative feedback to supplement survey scores as this provided more actionable data on which to mount quality improvement initiatives.

Immediacy of feedback, regularity of feedback and having some control over the questions asked were all aspects of our experiment with RTF that were valued by practices and had the potential to make feedback more useful. However, a number of important questions remain before RTF could be recommended as a replacement for postal questionnaires. We outline these in the next section on research recommendations.

The value of surveys in monitoring national trends

Despite some reservations about the value of national surveys as vehicles for stimulating quality improvement in general practices and out-of-hours services, they can be important for monitoring national trends. For example, the GP Patient Survey is the only source of data which demonstrates that, year on year, from 2010 to 2015, patients report that they have had increasing difficulty in seeing a doctor of their choice. Indeed, for out-of-hours services the GP Patient Survey is the only way to monitor such trends as individual services use very different tools and approaches, precluding comparisons. Additionally, patient feedback – particularly in secondary care – is used for organisational risk assessment and regulatory monitoring. However, when national surveys are used to monitor trends in care it is important that the questions stay the same. In contrast to questions in the GP Patient Survey related to whether or not patients are able to see a doctor of their choice, questions in the survey on access have undergone major changes, making it difficult to follow long-term trends. However, it should be noted that much smaller sample sizes are required to monitor national trends and comparable national surveys often include tens of thousands of participants rather than millions. Our work on out-of-hours care suggests some ways in which the current questions in the GP Patient Survey could be improved.

Development of surveys in out-of-hours care

Our work on the use of patient experience surveys in out-of-hours care highlights a number of areas requiring consideration. National quality requirements (NQR5) state that all out-of-hours services must audit patient experience but provide no information on how to do this. 307 In the absence of clear guidance on tools and approaches, many services are taking different tacks to both collect and act on patient feedback. As well as being inefficient in approach, with little consistency or shared learning, this also precludes national comparisons being made between providers. We suggest that NQR5 should be reviewed and tightened to avoid the duplication of effort occurring in different services.

Second, out-of-hours items from the GP Patient Survey are now being used for the purposes of CQC and National Audit Office monitoring of out-of-hours care. Our research in this area commenced prior to the launch of the CQC and providers knew little about the GP Patient Survey and expressed concern about the relevance of the out-of-hours items. Our research suggests that, subject to minor amendments, the GP Patient Survey is suitable for this kind of national monitoring of out-of-hours care; indeed, it is the only current approach suitable for monitoring, given the variation in approaches to patient feedback currently taken by service providers. However, although the GP Patient Survey enables the use of benchmarking, it is not sufficiently detailed to support quality improvement and as such is unlikely to replace the in-house methods and tools being used by providers. We also note that current presentations of GP Patient Survey data for out-of-hours care are at ‘commissioner’ level; as providers often cover more than one commissioner level, such analyses may not highlight problems occurring at the larger organisational level. Finally, to look at the performance of different out-of-hours providers on key patient experience measures, it is important that NHS England maintains a list of such providers to ensure oversight, which it currently does not.

Overall, large-scale postal surveys are likely to remain the dominant approach for gathering patient feedback for the time being, although refinements to this approach as well as the development of other modes are required to address the weaknesses that we have identified. We are aware that providers are experimenting with a wide range of other approaches, one of which ( RTF ) has been part of our research. Other methods include interviews and focus groups, online feedback, analysis of complaints, practice participation groups and social media. In the following section, we outline recommendations for research and identify the criteria that any new methods will need to meet to become useful quality improvement tools.

• Recommendations for research

The world of patient feedback is becoming increasingly diverse and complex, with standard patient survey approaches being supplemented by the use of tablets, kiosks, online feedback, including that provided by the NHS and by commercial organisations, analysis of complaints, the use of interviews and focus groups and practice participation groups. In addition, social media may come to play an important part in how patients choose their doctor and how they feed back on their experiences. Some of these new approaches are being evaluated in terms of their ability to provide more detailed information on what is needed to improve services, for example using patient narratives 308 and through the analysis of internet-based feedback. 309 , 310 However, despite the plethora of approaches to gathering patient feedback, our research demonstrates that there is a major deficit in taking action as a result of such feedback. Enabling and supporting providers to engage with and plan changes may require complex whole-system approaches, and our knowledge of what is most effective in this area is currently sparse.

Research is therefore needed into how gathering and acting on patient feedback may be best supported, across five key areas:

• How patient experience can be captured so that it more effectively identifies areas of performance that could be improved – this should include investigation of diverse methods of obtaining patient feedback to support patients to highlight poor care when necessary. An additional important area of work is how some of the issues highlighted within this report, such as patients’ reluctance to criticise, apply to different approaches to assessing patient experience using either rating-type or report-type questionnaire items.
• The system, practitioner and patient factors that influence poorer reported experiences of care in South Asian patient groups and how these may be addressed – this should include a particular focus on the impact of cross-cultural consultations.
• How information from patients can be fed back to clinicians and services in a way that appears credible to them – this should include evaluations of approaches to increase the plausibility of patient surveys, such as greater use of benchmarking and innovative ways of presenting and interpreting findings, as well as assessment of varying, tailored ways of presenting feedback to the different health-care professionals who might receive feedback on their care. Of additional relevance here is how clinicians are encouraged to reflect on their own performance and others’ assessments of this, with the aim of understanding where and how gaps in evaluations may occur.
• How services can be organised and managed in such a way that patient feedback is seen as a positive opportunity for improving services.
• What interventions are most effective in improving care when deficiencies in care are identified – the area where there is the greatest gap here is in doctor–patient communication, with our results showing that clinicians have great difficulty in even discussing deficiencies among their colleagues and that few effective interventions exist.

Our finding in the research on out-of-hours care that commercial providers had lower ratings for patient experience than services provided by the NHS is consistent with previous work suggesting that practices working under Alternative Provider Medical Services contracts, which are sometimes provided by the private sector, may provide worse care. 311 However, the circumstances in which commercial providers gain contracts for primary care services may be very different from those in other areas. The way in which the primary care workforce is configured is changing rapidly, with an increase in the proportion of salaried GPs, the development of GP federations and super-practices and an increase in the number of large-scale provider groups (owned both by commercial companies and by GPs). It is important that these changes should be monitored so that we understand their impact on quality of care.

Included under terms of UK Non-commercial Government License .

• Cite this Page Burt J, Campbell J, Abel G, et al. Improving patient experience in primary care: a multimethod programme of research on the measurement and improvement of patient experience. Southampton (UK): NIHR Journals Library; 2017 Apr. (Programme Grants for Applied Research, No. 5.9.) Chapter 12, Conclusions, implications for practice and recommendations for future research.
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The significance of the study underscores the research’s importance, illustrating its impact on existing knowledge and potential applications. It highlights how the findings address gaps, resolve problems, or contribute to advancements in a specific field. By emphasizing the study’s relevance, it demonstrates the broader implications for society, academia, or industry, justifying the research effort and investment.

What is the Significance of the Study?

The significance of the study illustrates the research’s importance, highlighting its impact on existing knowledge and potential applications. It addresses gaps, resolves problems, or contributes to advancements in a specific field. Emphasizing the study’s relevance, it demonstrates broader implications for society, academia, or industry, justifying the research effort and investment.

Significance of the Study Format

When writing the “Significance of the Study” section in a research paper , follow this format to ensure clarity and impact:

1. Introduction

• Contextual Background: Provide a brief background of the research topic.
• Research Problem: State the problem the study addresses.

2. Purpose of the Study

• Objective Statement: Clearly define the main objective of the study.
• Scope of the Study: Outline what the study covers.

3. Importance to the Field

• Contribution to Knowledge: Explain how the study will add to existing knowledge.
• Theoretical Significance: Discuss the study’s theoretical implications.

4. Practical Implications

• Real-world Application: Describe how the findings can be applied in practical setting .
• Beneficiaries: Identify who will benefit from the research (e.g., policymakers, practitioners, educators).

5. Advancement of Future Research

• Foundation for Future Studies: Indicate how the study can serve as a basis for further research.
• Research Gaps: Highlight any gaps the study aims to fill.

6. Societal Impact

• Broader Implications: Discuss the potential societal benefits or changes resulting from the study.
• Public Awareness: Explain how the study can raise awareness or understanding of the issue.

7. Conclusion

• Summary of Significance: Recap the main points that underline the importance of the study.
• Call to Action: Encourage specific actions or further studies based on the research findings.

Significance of the Study on Impact of Remote Work on Employee Productivity in the Tech Industry 1. Introduction The rapid shift to remote work due to the COVID-19 pandemic has fundamentally changed the dynamics of workplace productivity, especially within the tech industry. This study aims to examine how remote work influences employee productivity compared to traditional office settings. 2. Purpose of the Study The primary objective of this research is to evaluate the productivity levels of tech employees working remotely versus those working in office environments. The study analyzes various productivity metrics, such as task completion rates, quality of work, and employee satisfaction. 3. Importance to the Field This research contributes significantly to the existing body of knowledge by providing empirical data on the productivity impacts of remote work. It refines theoretical models of workplace productivity and offers new insights into remote work dynamics specific to the tech sector. Understanding these dynamics helps scholars and practitioners alike in shaping effective productivity strategies in the evolving work landscape. 4. Practical Implications The findings from this study have crucial practical implications for tech companies aiming to optimize their remote work policies. By understanding how remote work affects productivity, managers and HR departments can develop strategies to enhance employee performance and well-being in remote settings. These insights can also assist in designing training programs that equip employees with the skills needed for effective remote work. 5. Advancement of Future Research This study sets the stage for future research on long-term remote work trends and their impacts across various industries. It addresses existing gaps by providing a detailed analysis of how remote work influences productivity in the tech sector. Future researchers can build on this work to explore remote work dynamics in other fields and under different conditions. 6. Societal Impact The study highlights the broader societal implications of remote work, such as promoting work-life balance, reducing urban congestion, and lowering environmental pollution. By demonstrating the potential benefits of remote work, this research can influence public policy and corporate strategies towards more sustainable and flexible working conditions, ultimately contributing to societal well-being. 7. Conclusion Understanding the impact of remote work on productivity is essential for developing effective work policies and creating healthier work environments. This study provides valuable insights that can guide tech companies in optimizing their remote work strategies. Future research should explore the long-term effects of remote work across different sectors to provide a comprehensive understanding of its benefits and challenges.

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• Green Building and Energy Efficiency
• Technology in Healthcare
• Employee Engagement and Job Performance
• Business Strategies and Market Adaptation
• Mindfulness at Work

Purpose of Writing the Significance of a Study

When writing academic research or scholarly articles, one critical section is the significance of the study . This part addresses the importance and impact of the research, both theoretically and practically. Here are the main purposes of writing the significance of a study:

1. Establishing Relevance

The primary purpose is to explain why the study is relevant. It connects the research to existing literature, highlighting gaps or deficiencies that the current study aims to fill. This helps to justify the research problem and demonstrates the necessity of the study.

2. Highlighting Contributions

This section outlines the contributions the study will make to the field. It discusses how the findings can advance knowledge, theory, or practice. The significance emphasizes new insights, innovative approaches, or advancements that the study will provide.

3. Guiding Further Research

The significance of the study often includes suggestions for future research. By identifying limitations and unexplored areas, it encourages other researchers to pursue related questions. This helps to build a foundation for continuous inquiry and discovery.

4. Demonstrating Practical Applications

Beyond theoretical contributions, the significance of the study highlights practical applications. It shows how the research can solve real-world problems, improve practices, or influence policy-making. This connects academic research to practical outcomes that benefit society.

5. Engaging Stakeholders

Writing the significance of a study engages various stakeholders, including scholars, practitioners, policymakers, and funders. It communicates the value of the research to different audiences, making it easier to garner support, funding, or collaboration.

6. Enhancing Research Impact

A well-articulated significance section enhances the overall impact of the research. It underscores the importance and potential influence of the study, increasing its visibility and recognition in the academic community and beyond.

Benefits of Significance of the Study

Writing the significance of a study offers several benefits that enhance the research’s value and impact. Here are the key benefits:

1. Clarifies Research Value

The significance section clarifies the value of the research by explaining its importance and relevance. It helps readers understand why the study matters and what contributions it aims to make to the field.

2. Justifies the Research Problem

This section provides a rationale for the study by highlighting the research problem’s importance. It justifies the need for the study by identifying gaps in existing literature and explaining how the research will address these gaps.

3. Engages and Motivates Readers

A well-articulated significance section engages and motivates readers, including scholars, practitioners, and policymakers. It draws their interest by showcasing the study’s potential impact and benefits.

4. Secures Funding and Support

Explaining the significance of the study can help secure funding and support from stakeholders. Funding agencies and institutions are more likely to invest in research that demonstrates clear value and potential impact.

5. Guides Research Focus

The significance section helps guide the research focus by clearly defining the study’s contributions and goals. This clarity ensures that the research stays on track and aligns with its intended purpose.

6. Enhances Academic Credibility

Demonstrating the significance of a study enhances the researcher’s academic credibility. It shows a deep understanding of the field and the ability to identify and address important research questions.

7. Encourages Further Research

By identifying gaps and suggesting future research directions, the significance section encourages other researchers to build on the study’s findings. This fosters a continuous cycle of inquiry and discovery in the field.

8. Highlights Practical Applications

The significance section highlights practical applications of the research, showing how it can solve real-world problems. This makes the study more appealing to practitioners and policymakers who are interested in practical solutions.

9. Increases Research Impact

A clear and compelling significance section increases the overall impact of the research. It enhances the study’s visibility and recognition, leading to broader dissemination and application of the findings.

10. Supports Academic and Professional Goals

For researchers, writing a strong significance section supports academic and professional goals. It can contribute to career advancement, publication opportunities, and recognition within the academic community.

How to Write the Significance of the Study

Writing the significance of a study involves explaining the importance and impact of your research. This section should clearly articulate why your study matters, how it contributes to the field, and what practical applications it may have. Here’s a step-by-step guide to help you write an effective significance of the study:

Start with the Context

Begin by providing a brief overview of the research context. This sets the stage for understanding the importance of your study. Example : “In today’s digital age, digital literacy has become a critical skill for students. As technology continues to integrate into education, understanding its impact on academic performance is essential.”

Identify the Research Gap

Explain the gap in existing literature or the problem your study aims to address. Highlighting this gap justifies the need for your research. Example: “Despite the growing importance of digital literacy, there is limited empirical evidence on its direct impact on high school students’ academic performance. This study seeks to fill this gap by investigating this relationship.”

Explain the Theoretical Contributions

Discuss how your study will contribute to existing theories or knowledge in the field. This shows the academic value of your research. Example : “The findings of this study will contribute to educational theory by providing new insights into how digital literacy skills influence student learning outcomes. It will expand the current understanding of the role of technology in education.”

Highlight Practical Implications

Describe the practical applications of your research. Explain how the findings can be used in real-world settings. Example : “Practically, the results of this study can inform educators and policymakers about the importance of incorporating digital literacy programs into the curriculum. It will help design more effective teaching strategies that enhance students’ digital competencies.”

Mention the Beneficiaries

Identify who will benefit from your study. This could include scholars, practitioners, policymakers, or specific groups affected by the research problem. Example: “This research will benefit educators, school administrators, and policymakers by providing evidence-based recommendations for integrating digital literacy into educational practices. Additionally, students will benefit from improved learning outcomes and better preparedness for the digital world.”

Suggest Future Research

Point out areas for future research that stem from your study. This shows the ongoing relevance and potential for further inquiry. Example : “Future research could explore the long-term effects of digital literacy on career readiness and job performance. Additionally, studies could examine the impact of specific digital literacy interventions on diverse student populations.”

Use Clear and Concise Language

Ensure your writing is clear and concise. Avoid jargon and overly complex sentences to make your significance easily understandable.

What is the significance of a study?

The significance explains the importance, contributions, and impact of the research, highlighting why the study is necessary and how it benefits the field and society.

Why is the significance of a study important?

It justifies the research, engages readers, secures funding, guides the research focus, and highlights practical and theoretical contributions, enhancing the study’s impact and visibility.

How do you identify the significance of a study?

Identify gaps in existing literature, potential contributions to theory and practice, and practical applications that address real-world problems, demonstrating the study’s relevance and importance.

What should be included in the significance of a study?

Include the research context, identified gaps, theoretical contributions, practical applications, beneficiaries, and suggestions for future research to comprehensively explain the study’s importance.

How long should the significance of a study be?

Typically, the significance section should be concise, around 1-2 paragraphs, providing enough detail to clearly convey the study’s importance and contributions.

Can the significance of a study influence funding decisions?

Yes, a well-articulated significance section can attract funding by demonstrating the study’s potential impact and relevance to funding agencies and stakeholders.

How does the significance of a study benefit researchers?

It clarifies the research focus, enhances credibility, guides the research process, and supports academic and professional goals by highlighting the study’s contributions and importance.

Should the significance of a study mention future research?

Yes, mentioning future research directions shows the ongoing relevance of the study and encourages further inquiry, contributing to continuous advancement in the field.

How does the significance of a study relate to the research problem?

The significance justifies the research problem by explaining its importance, highlighting gaps in existing knowledge, and showing how the study addresses these issues.

Can practical applications be part of the significance of a study?

Yes, practical applications are crucial, showing how the research can solve real-world problems, influence practices, and benefit specific groups or society overall.

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• How to Write a Literature Review | Guide, Examples, & Templates

How to Write a Literature Review | Guide, Examples, & Templates

Published on January 2, 2023 by Shona McCombes . Revised on September 11, 2023.

What is a literature review? A literature review is a survey of scholarly sources on a specific topic. It provides an overview of current knowledge, allowing you to identify relevant theories, methods, and gaps in the existing research that you can later apply to your paper, thesis, or dissertation topic .

There are five key steps to writing a literature review:

• Search for relevant literature
• Evaluate sources
• Identify themes, debates, and gaps
• Outline the structure
• Write your literature review

A good literature review doesn’t just summarize sources—it analyzes, synthesizes , and critically evaluates to give a clear picture of the state of knowledge on the subject.

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Table of contents

What is the purpose of a literature review, examples of literature reviews, step 1 – search for relevant literature, step 2 – evaluate and select sources, step 3 – identify themes, debates, and gaps, step 4 – outline your literature review’s structure, step 5 – write your literature review, free lecture slides, other interesting articles, frequently asked questions, introduction.

• Quick Run-through
• Step 1 & 2

When you write a thesis , dissertation , or research paper , you will likely have to conduct a literature review to situate your research within existing knowledge. The literature review gives you a chance to:

• Demonstrate your familiarity with the topic and its scholarly context
• Develop a theoretical framework and methodology for your research
• Position your work in relation to other researchers and theorists
• Show how your research addresses a gap or contributes to a debate
• Evaluate the current state of research and demonstrate your knowledge of the scholarly debates around your topic.

Writing literature reviews is a particularly important skill if you want to apply for graduate school or pursue a career in research. We’ve written a step-by-step guide that you can follow below.

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Writing literature reviews can be quite challenging! A good starting point could be to look at some examples, depending on what kind of literature review you’d like to write.

• Example literature review #1: “Why Do People Migrate? A Review of the Theoretical Literature” ( Theoretical literature review about the development of economic migration theory from the 1950s to today.)
• Example literature review #2: “Literature review as a research methodology: An overview and guidelines” ( Methodological literature review about interdisciplinary knowledge acquisition and production.)
• Example literature review #3: “The Use of Technology in English Language Learning: A Literature Review” ( Thematic literature review about the effects of technology on language acquisition.)
• Example literature review #4: “Learners’ Listening Comprehension Difficulties in English Language Learning: A Literature Review” ( Chronological literature review about how the concept of listening skills has changed over time.)

You can also check out our templates with literature review examples and sample outlines at the links below.

Download Word doc Download Google doc

Before you begin searching for literature, you need a clearly defined topic .

If you are writing the literature review section of a dissertation or research paper, you will search for literature related to your research problem and questions .

Make a list of keywords

Start by creating a list of keywords related to your research question. Include each of the key concepts or variables you’re interested in, and list any synonyms and related terms. You can add to this list as you discover new keywords in the process of your literature search.

• Social media, Facebook, Instagram, Twitter, Snapchat, TikTok
• Body image, self-perception, self-esteem, mental health
• Generation Z, teenagers, adolescents, youth

Search for relevant sources

Use your keywords to begin searching for sources. Some useful databases to search for journals and articles include:

• Your university’s library catalogue
• Google Scholar
• Project Muse (humanities and social sciences)
• Medline (life sciences and biomedicine)
• EconLit (economics)
• Inspec (physics, engineering and computer science)

You can also use boolean operators to help narrow down your search.

Make sure to read the abstract to find out whether an article is relevant to your question. When you find a useful book or article, you can check the bibliography to find other relevant sources.

You likely won’t be able to read absolutely everything that has been written on your topic, so it will be necessary to evaluate which sources are most relevant to your research question.

For each publication, ask yourself:

• What question or problem is the author addressing?
• What are the key concepts and how are they defined?
• What are the key theories, models, and methods?
• Does the research use established frameworks or take an innovative approach?
• What are the results and conclusions of the study?
• How does the publication relate to other literature in the field? Does it confirm, add to, or challenge established knowledge?
• What are the strengths and weaknesses of the research?

Make sure the sources you use are credible , and make sure you read any landmark studies and major theories in your field of research.

You can use our template to summarize and evaluate sources you’re thinking about using. Click on either button below to download.

Take notes and cite your sources

As you read, you should also begin the writing process. Take notes that you can later incorporate into the text of your literature review.

It is important to keep track of your sources with citations to avoid plagiarism . It can be helpful to make an annotated bibliography , where you compile full citation information and write a paragraph of summary and analysis for each source. This helps you remember what you read and saves time later in the process.

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To begin organizing your literature review’s argument and structure, be sure you understand the connections and relationships between the sources you’ve read. Based on your reading and notes, you can look for:

• Trends and patterns (in theory, method or results): do certain approaches become more or less popular over time?
• Themes: what questions or concepts recur across the literature?
• Debates, conflicts and contradictions: where do sources disagree?
• Pivotal publications: are there any influential theories or studies that changed the direction of the field?
• Gaps: what is missing from the literature? Are there weaknesses that need to be addressed?

This step will help you work out the structure of your literature review and (if applicable) show how your own research will contribute to existing knowledge.

• Most research has focused on young women.
• There is an increasing interest in the visual aspects of social media.
• But there is still a lack of robust research on highly visual platforms like Instagram and Snapchat—this is a gap that you could address in your own research.

There are various approaches to organizing the body of a literature review. Depending on the length of your literature review, you can combine several of these strategies (for example, your overall structure might be thematic, but each theme is discussed chronologically).

Chronological

The simplest approach is to trace the development of the topic over time. However, if you choose this strategy, be careful to avoid simply listing and summarizing sources in order.

Try to analyze patterns, turning points and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred.

If you have found some recurring central themes, you can organize your literature review into subsections that address different aspects of the topic.

For example, if you are reviewing literature about inequalities in migrant health outcomes, key themes might include healthcare policy, language barriers, cultural attitudes, legal status, and economic access.

Methodological

If you draw your sources from different disciplines or fields that use a variety of research methods , you might want to compare the results and conclusions that emerge from different approaches. For example:

• Look at what results have emerged in qualitative versus quantitative research
• Discuss how the topic has been approached by empirical versus theoretical scholarship
• Divide the literature into sociological, historical, and cultural sources

Theoretical

A literature review is often the foundation for a theoretical framework . You can use it to discuss various theories, models, and definitions of key concepts.

You might argue for the relevance of a specific theoretical approach, or combine various theoretical concepts to create a framework for your research.

Like any other academic text , your literature review should have an introduction , a main body, and a conclusion . What you include in each depends on the objective of your literature review.

The introduction should clearly establish the focus and purpose of the literature review.

Depending on the length of your literature review, you might want to divide the body into subsections. You can use a subheading for each theme, time period, or methodological approach.

As you write, you can follow these tips:

• Summarize and synthesize: give an overview of the main points of each source and combine them into a coherent whole
• Analyze and interpret: don’t just paraphrase other researchers — add your own interpretations where possible, discussing the significance of findings in relation to the literature as a whole
• Critically evaluate: mention the strengths and weaknesses of your sources
• Write in well-structured paragraphs: use transition words and topic sentences to draw connections, comparisons and contrasts

In the conclusion, you should summarize the key findings you have taken from the literature and emphasize their significance.

When you’ve finished writing and revising your literature review, don’t forget to proofread thoroughly before submitting. Not a language expert? Check out Scribbr’s professional proofreading services !

This article has been adapted into lecture slides that you can use to teach your students about writing a literature review.

Scribbr slides are free to use, customize, and distribute for educational purposes.

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If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a thesis, dissertation , or research paper , in order to situate your work in relation to existing knowledge.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarize yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

The literature review usually comes near the beginning of your thesis or dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

A literature review is a survey of credible sources on a topic, often used in dissertations , theses, and research papers . Literature reviews give an overview of knowledge on a subject, helping you identify relevant theories and methods, as well as gaps in existing research. Literature reviews are set up similarly to other  academic texts , with an introduction , a main body, and a conclusion .

An  annotated bibliography is a list of  source references that has a short description (called an annotation ) for each of the sources. It is often assigned as part of the research process for a  paper .  

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McCombes, S. (2023, September 11). How to Write a Literature Review | Guide, Examples, & Templates. Scribbr. Retrieved June 7, 2024, from https://www.scribbr.com/dissertation/literature-review/

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By Kevin Roose

Kevin Roose is a technology columnist, and co-hosts the Times podcast “Hard Fork.”

Last week, after testing the new, A.I.-powered Bing search engine from Microsoft, I wrote that, much to my shock, it had replaced Google as my favorite search engine.

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