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Writing a Literature Review

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A literature review is a document or section of a document that collects key sources on a topic and discusses those sources in conversation with each other (also called synthesis ). The lit review is an important genre in many disciplines, not just literature (i.e., the study of works of literature such as novels and plays). When we say “literature review” or refer to “the literature,” we are talking about the research ( scholarship ) in a given field. You will often see the terms “the research,” “the scholarship,” and “the literature” used mostly interchangeably.

Where, when, and why would I write a lit review?

There are a number of different situations where you might write a literature review, each with slightly different expectations; different disciplines, too, have field-specific expectations for what a literature review is and does. For instance, in the humanities, authors might include more overt argumentation and interpretation of source material in their literature reviews, whereas in the sciences, authors are more likely to report study designs and results in their literature reviews; these differences reflect these disciplines’ purposes and conventions in scholarship. You should always look at examples from your own discipline and talk to professors or mentors in your field to be sure you understand your discipline’s conventions, for literature reviews as well as for any other genre.

A literature review can be a part of a research paper or scholarly article, usually falling after the introduction and before the research methods sections. In these cases, the lit review just needs to cover scholarship that is important to the issue you are writing about; sometimes it will also cover key sources that informed your research methodology.

Lit reviews can also be standalone pieces, either as assignments in a class or as publications. In a class, a lit review may be assigned to help students familiarize themselves with a topic and with scholarship in their field, get an idea of the other researchers working on the topic they’re interested in, find gaps in existing research in order to propose new projects, and/or develop a theoretical framework and methodology for later research. As a publication, a lit review usually is meant to help make other scholars’ lives easier by collecting and summarizing, synthesizing, and analyzing existing research on a topic. This can be especially helpful for students or scholars getting into a new research area, or for directing an entire community of scholars toward questions that have not yet been answered.

What are the parts of a lit review?

Most lit reviews use a basic introduction-body-conclusion structure; if your lit review is part of a larger paper, the introduction and conclusion pieces may be just a few sentences while you focus most of your attention on the body. If your lit review is a standalone piece, the introduction and conclusion take up more space and give you a place to discuss your goals, research methods, and conclusions separately from where you discuss the literature itself.

Introduction:

• An introductory paragraph that explains what your working topic and thesis is
• A forecast of key topics or texts that will appear in the review
• Potentially, a description of how you found sources and how you analyzed them for inclusion and discussion in the review (more often found in published, standalone literature reviews than in lit review sections in an article or research paper)
• 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 sentence to draw connections, comparisons, and contrasts.

Conclusion:

• Summarize the key findings you have taken from the literature and emphasize their significance
• Connect it back to your primary research question

How should I organize my lit review?

Lit reviews can take many different organizational patterns depending on what you are trying to accomplish with the review. Here are some examples:

• Chronological : The simplest approach is to trace the development of the topic over time, which helps familiarize the audience with the topic (for instance if you are introducing something that is not commonly known in your field). If you choose this strategy, be careful to avoid simply listing and summarizing sources in order. Try to analyze the patterns, turning points, and key debates that have shaped the direction of the field. Give your interpretation of how and why certain developments occurred (as mentioned previously, this may not be appropriate in your discipline — check with a teacher or mentor if you’re unsure).
• Thematic : If you have found some recurring central themes that you will continue working with throughout your piece, you can organize your literature review into subsections that address different aspects of the topic. For example, if you are reviewing literature about women and religion, key themes can include the role of women in churches and the religious attitude towards women.
• Qualitative versus quantitative research
• Empirical versus theoretical scholarship
• Divide the research by sociological, historical, or cultural sources
• Theoretical : In many humanities articles, the literature review is the foundation for the theoretical framework. You can use it to discuss various theories, models, and definitions of key concepts. You can argue for the relevance of a specific theoretical approach or combine various theorical concepts to create a framework for your research.

What are some strategies or tips I can use while writing my lit review?

Any lit review is only as good as the research it discusses; make sure your sources are well-chosen and your research is thorough. Don’t be afraid to do more research if you discover a new thread as you’re writing. More info on the research process is available in our "Conducting Research" resources .

As you’re doing your research, create an annotated bibliography ( see our page on the this type of document ). Much of the information used in an annotated bibliography can be used also in a literature review, so you’ll be not only partially drafting your lit review as you research, but also developing your sense of the larger conversation going on among scholars, professionals, and any other stakeholders in your topic.

Usually you will need to synthesize research rather than just summarizing it. This means drawing connections between sources to create a picture of the scholarly conversation on a topic over time. Many student writers struggle to synthesize because they feel they don’t have anything to add to the scholars they are citing; here are some strategies to help you:

• It often helps to remember that the point of these kinds of syntheses is to show your readers how you understand your research, to help them read the rest of your paper.
• Writing teachers often say synthesis is like hosting a dinner party: imagine all your sources are together in a room, discussing your topic. What are they saying to each other?
• Look at the in-text citations in each paragraph. Are you citing just one source for each paragraph? This usually indicates summary only. When you have multiple sources cited in a paragraph, you are more likely to be synthesizing them (not always, but often
• Read more about synthesis here.

The most interesting literature reviews are often written as arguments (again, as mentioned at the beginning of the page, this is discipline-specific and doesn’t work for all situations). Often, the literature review is where you can establish your research as filling a particular gap or as relevant in a particular way. You have some chance to do this in your introduction in an article, but the literature review section gives a more extended opportunity to establish the conversation in the way you would like your readers to see it. You can choose the intellectual lineage you would like to be part of and whose definitions matter most to your thinking (mostly humanities-specific, but this goes for sciences as well). In addressing these points, you argue for your place in the conversation, which tends to make the lit review more compelling than a simple reporting of other sources.

• UConn Library
• Literature Review: The What, Why and How-to Guide
• Introduction

Literature Review: The What, Why and How-to Guide — Introduction

• Getting Started
• How to Pick a Topic
• Strategies to Find Sources
• Evaluating Sources & Lit. Reviews
• Tips for Writing Literature Reviews
• Writing Literature Review: Useful Sites
• Citation Resources
• Other Academic Writings

What are Literature Reviews?

So, what is a literature review? "A literature review is an account of what has been published on a topic by accredited scholars and researchers. In writing the literature review, your purpose is to convey to your reader what knowledge and ideas have been established on a topic, and what their strengths and weaknesses are. As a piece of writing, the literature review must be defined by a guiding concept (e.g., your research objective, the problem or issue you are discussing, or your argumentative thesis). It is not just a descriptive list of the material available, or a set of summaries." Taylor, D.  The literature review: A few tips on conducting it . University of Toronto Health Sciences Writing Centre.

Goals of Literature Reviews

What are the goals of creating a Literature Review?  A literature could be written to accomplish different aims:

• To develop a theory or evaluate an existing theory
• To summarize the historical or existing state of a research topic
• Identify a problem in a field of research 

Baumeister, R. F., & Leary, M. R. (1997). Writing narrative literature reviews .  Review of General Psychology , 1 (3), 311-320.

What kinds of sources require a Literature Review?

• A research paper assigned in a course
• A thesis or dissertation
• A grant proposal
• An article intended for publication in a journal

All these instances require you to collect what has been written about your research topic so that you can demonstrate how your own research sheds new light on the topic.

Types of Literature Reviews

What kinds of literature reviews are written?

Narrative review: The purpose of this type of review is to describe the current state of the research on a specific topic/research and to offer a critical analysis of the literature reviewed. Studies are grouped by research/theoretical categories, and themes and trends, strengths and weakness, and gaps are identified. The review ends with a conclusion section which summarizes the findings regarding the state of the research of the specific study, the gaps identify and if applicable, explains how the author's research will address gaps identify in the review and expand the knowledge on the topic reviewed.

• Example : Predictors and Outcomes of U.S. Quality Maternity Leave: A Review and Conceptual Framework:  10.1177/08948453211037398  

Systematic review : "The authors of a systematic review use a specific procedure to search the research literature, select the studies to include in their review, and critically evaluate the studies they find." (p. 139). Nelson, L. K. (2013). Research in Communication Sciences and Disorders . Plural Publishing.

• Example : The effect of leave policies on increasing fertility: a systematic review:  10.1057/s41599-022-01270-w

Meta-analysis : "Meta-analysis is a method of reviewing research findings in a quantitative fashion by transforming the data from individual studies into what is called an effect size and then pooling and analyzing this information. The basic goal in meta-analysis is to explain why different outcomes have occurred in different studies." (p. 197). Roberts, M. C., & Ilardi, S. S. (2003). Handbook of Research Methods in Clinical Psychology . Blackwell Publishing.

• Example : Employment Instability and Fertility in Europe: A Meta-Analysis:  10.1215/00703370-9164737

Meta-synthesis : "Qualitative meta-synthesis is a type of qualitative study that uses as data the findings from other qualitative studies linked by the same or related topic." (p.312). Zimmer, L. (2006). Qualitative meta-synthesis: A question of dialoguing with texts .  Journal of Advanced Nursing , 53 (3), 311-318.

• Example : Women’s perspectives on career successes and barriers: A qualitative meta-synthesis:  10.1177/05390184221113735

Literature Reviews in the Health Sciences

• UConn Health subject guide on systematic reviews Explanation of the different review types used in health sciences literature as well as tools to help you find the right review type
• << Previous: Getting Started
• Next: How to Pick a Topic >>
• Last Updated: Sep 21, 2022 2:16 PM
• URL: https://guides.lib.uconn.edu/literaturereview

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• CAREER FEATURE
• 04 December 2020
• Correction 09 December 2020

How to write a superb literature review

Andy Tay is a freelance writer based in Singapore.

You can also search for this author in PubMed   Google Scholar

Literature reviews are important resources for scientists. They provide historical context for a field while offering opinions on its future trajectory. Creating them can provide inspiration for one’s own research, as well as some practice in writing. But few scientists are trained in how to write a review — or in what constitutes an excellent one. Even picking the appropriate software to use can be an involved decision (see ‘Tools and techniques’). So Nature asked editors and working scientists with well-cited reviews for their tips.

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doi: https://doi.org/10.1038/d41586-020-03422-x

Interviews have been edited for length and clarity.

Updates & Corrections

Correction 09 December 2020 : An earlier version of the tables in this article included some incorrect details about the programs Zotero, Endnote and Manubot. These have now been corrected.

Hsing, I.-M., Xu, Y. & Zhao, W. Electroanalysis 19 , 755–768 (2007).

Article   Google Scholar  

Ledesma, H. A. et al. Nature Nanotechnol. 14 , 645–657 (2019).

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Brahlek, M., Koirala, N., Bansal, N. & Oh, S. Solid State Commun. 215–216 , 54–62 (2015).

Choi, Y. & Lee, S. Y. Nature Rev. Chem . https://doi.org/10.1038/s41570-020-00221-w (2020).

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What is a literature review?

A literature review is an integrated analysis -- not just a summary-- of scholarly writings and other relevant evidence related directly to your research question.  That is, it represents a synthesis of the evidence that provides background information on your topic and shows a association between the evidence and your research question.

A literature review may be a stand alone work or the introduction to a larger research paper, depending on the assignment.  Rely heavily on the guidelines your instructor has given you.

Why is it important?

A literature review is important because it:

• Explains the background of research on a topic.
• Demonstrates why a topic is significant to a subject area.
• Discovers relationships between research studies/ideas.
• Identifies major themes, concepts, and researchers on a topic.
• Identifies critical gaps and points of disagreement.
• Discusses further research questions that logically come out of the previous studies.

APA7 Style resources

APA Style Blog - for those harder to find answers

1. Choose a topic. Define your research question.

Your literature review should be guided by your central research question.  The literature represents background and research developments related to a specific research question, interpreted and analyzed by you in a synthesized way.

• Make sure your research question is not too broad or too narrow.  Is it manageable?
• Begin writing down terms that are related to your question. These will be useful for searches later.
• If you have the opportunity, discuss your topic with your professor and your class mates.

2. Decide on the scope of your review

How many studies do you need to look at? How comprehensive should it be? How many years should it cover? 

• This may depend on your assignment.  How many sources does the assignment require?

3. Select the databases you will use to conduct your searches.

Make a list of the databases you will search. 

Where to find databases:

• use the tabs on this guide
• Find other databases in the Nursing Information Resources web page
• More on the Medical Library web page
• ... and more on the Yale University Library web page

4. Conduct your searches to find the evidence. Keep track of your searches.

• Use the key words in your question, as well as synonyms for those words, as terms in your search. Use the database tutorials for help.
• Save the searches in the databases. This saves time when you want to redo, or modify, the searches. It is also helpful to use as a guide is the searches are not finding any useful results.
• Review the abstracts of research studies carefully. This will save you time.
• Use the bibliographies and references of research studies you find to locate others.
• Check with your professor, or a subject expert in the field, if you are missing any key works in the field.
• Ask your librarian for help at any time.
• Use a citation manager, such as EndNote as the repository for your citations. See the EndNote tutorials for help.

Review the literature

Some questions to help you analyze the research:

• What was the research question of the study you are reviewing? What were the authors trying to discover?
• Was the research funded by a source that could influence the findings?
• What were the research methodologies? Analyze its literature review, the samples and variables used, the results, and the conclusions.
• Does the research seem to be complete? Could it have been conducted more soundly? What further questions does it raise?
• If there are conflicting studies, why do you think that is?
• How are the authors viewed in the field? Has this study been cited? If so, how has it been analyzed?

Tips: 

• Review the abstracts carefully.  
• Keep careful notes so that you may track your thought processes during the research process.
• Create a matrix of the studies for easy analysis, and synthesis, across all of the studies.
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What is a Literature Review? How to Write It (with Examples)

A literature review is a critical analysis and synthesis of existing research on a particular topic. It provides an overview of the current state of knowledge, identifies gaps, and highlights key findings in the literature. 1 The purpose of a literature review is to situate your own research within the context of existing scholarship, demonstrating your understanding of the topic and showing how your work contributes to the ongoing conversation in the field. Learning how to write a literature review is a critical tool for successful research. Your ability to summarize and synthesize prior research pertaining to a certain topic demonstrates your grasp on the topic of study, and assists in the learning process. 

Table of Contents

• What is the purpose of literature review? 
• a. Habitat Loss and Species Extinction: 
• b. Range Shifts and Phenological Changes: 
• c. Ocean Acidification and Coral Reefs: 
• d. Adaptive Strategies and Conservation Efforts: 

How to write a good literature review 

• Choose a Topic and Define the Research Question: 
• Decide on the Scope of Your Review: 
• Select Databases for Searches: 
• Conduct Searches and Keep Track: 
• Review the Literature: 
• Organize and Write Your Literature Review: 
• How to write a literature review faster with Paperpal? 
• Frequently asked questions 

What is a literature review?

A well-conducted literature review demonstrates the researcher’s familiarity with the existing literature, establishes the context for their own research, and contributes to scholarly conversations on the topic. One of the purposes of a literature review is also to help researchers avoid duplicating previous work and ensure that their research is informed by and builds upon the existing body of knowledge.

What is the purpose of literature review?

A literature review serves several important purposes within academic and research contexts. Here are some key objectives and functions of a literature review: 2  

1. Contextualizing the Research Problem: The literature review provides a background and context for the research problem under investigation. It helps to situate the study within the existing body of knowledge. 

2. Identifying Gaps in Knowledge: By identifying gaps, contradictions, or areas requiring further research, the researcher can shape the research question and justify the significance of the study. This is crucial for ensuring that the new research contributes something novel to the field. 

Find academic papers related to your research topic faster. Try Research on Paperpal  

3. Understanding Theoretical and Conceptual Frameworks: Literature reviews help researchers gain an understanding of the theoretical and conceptual frameworks used in previous studies. This aids in the development of a theoretical framework for the current research. 

4. Providing Methodological Insights: Another purpose of literature reviews is that it allows researchers to learn about the methodologies employed in previous studies. This can help in choosing appropriate research methods for the current study and avoiding pitfalls that others may have encountered. 

5. Establishing Credibility: A well-conducted literature review demonstrates the researcher’s familiarity with existing scholarship, establishing their credibility and expertise in the field. It also helps in building a solid foundation for the new research. 

6. Informing Hypotheses or Research Questions: The literature review guides the formulation of hypotheses or research questions by highlighting relevant findings and areas of uncertainty in existing literature. 

Literature review example

Let’s delve deeper with a literature review example: Let’s say your literature review is about the impact of climate change on biodiversity. You might format your literature review into sections such as the effects of climate change on habitat loss and species extinction, phenological changes, and marine biodiversity. Each section would then summarize and analyze relevant studies in those areas, highlighting key findings and identifying gaps in the research. The review would conclude by emphasizing the need for further research on specific aspects of the relationship between climate change and biodiversity. The following literature review template provides a glimpse into the recommended literature review structure and content, demonstrating how research findings are organized around specific themes within a broader topic. 

Literature Review on Climate Change Impacts on Biodiversity:

Climate change is a global phenomenon with far-reaching consequences, including significant impacts on biodiversity. This literature review synthesizes key findings from various studies: 

a. Habitat Loss and Species Extinction:

Climate change-induced alterations in temperature and precipitation patterns contribute to habitat loss, affecting numerous species (Thomas et al., 2004). The review discusses how these changes increase the risk of extinction, particularly for species with specific habitat requirements. 

b. Range Shifts and Phenological Changes:

Observations of range shifts and changes in the timing of biological events (phenology) are documented in response to changing climatic conditions (Parmesan & Yohe, 2003). These shifts affect ecosystems and may lead to mismatches between species and their resources. 

c. Ocean Acidification and Coral Reefs:

The review explores the impact of climate change on marine biodiversity, emphasizing ocean acidification’s threat to coral reefs (Hoegh-Guldberg et al., 2007). Changes in pH levels negatively affect coral calcification, disrupting the delicate balance of marine ecosystems. 

d. Adaptive Strategies and Conservation Efforts:

Recognizing the urgency of the situation, the literature review discusses various adaptive strategies adopted by species and conservation efforts aimed at mitigating the impacts of climate change on biodiversity (Hannah et al., 2007). It emphasizes the importance of interdisciplinary approaches for effective conservation planning. 

Strengthen your literature review with factual insights. Try Research on Paperpal for free!    

Writing a literature review involves summarizing and synthesizing existing research on a particular topic. A good literature review format should include the following elements. 

Introduction: The introduction sets the stage for your literature review, providing context and introducing the main focus of your review. 

• Opening Statement: Begin with a general statement about the broader topic and its significance in the field. 
• Scope and Purpose: Clearly define the scope of your literature review. Explain the specific research question or objective you aim to address. 
• Organizational Framework: Briefly outline the structure of your literature review, indicating how you will categorize and discuss the existing research. 
• Significance of the Study: Highlight why your literature review is important and how it contributes to the understanding of the chosen topic. 
• Thesis Statement: Conclude the introduction with a concise thesis statement that outlines the main argument or perspective you will develop in the body of the literature review. 

Body: The body of the literature review is where you provide a comprehensive analysis of existing literature, grouping studies based on themes, methodologies, or other relevant criteria. 

• Organize by Theme or Concept: Group studies that share common themes, concepts, or methodologies. Discuss each theme or concept in detail, summarizing key findings and identifying gaps or areas of disagreement. 
• Critical Analysis: Evaluate the strengths and weaknesses of each study. Discuss the methodologies used, the quality of evidence, and the overall contribution of each work to the understanding of the topic. 
• Synthesis of Findings: Synthesize the information from different studies to highlight trends, patterns, or areas of consensus in the literature. 
• Identification of Gaps: Discuss any gaps or limitations in the existing research and explain how your review contributes to filling these gaps. 
• Transition between Sections: Provide smooth transitions between different themes or concepts to maintain the flow of your literature review. 

Write and Cite as you go with Paperpal Research. Start now for free.   

Conclusion: The conclusion of your literature review should summarize the main findings, highlight the contributions of the review, and suggest avenues for future research. 

• Summary of Key Findings: Recap the main findings from the literature and restate how they contribute to your research question or objective. 
• Contributions to the Field: Discuss the overall contribution of your literature review to the existing knowledge in the field. 
• Implications and Applications: Explore the practical implications of the findings and suggest how they might impact future research or practice. 
• Recommendations for Future Research: Identify areas that require further investigation and propose potential directions for future research in the field. 
• Final Thoughts: Conclude with a final reflection on the importance of your literature review and its relevance to the broader academic community. 

Conducting a literature review

Conducting a literature review is an essential step in research that involves reviewing and analyzing existing literature on a specific topic. It’s important to know how to do a literature review effectively, so here are the steps to follow: 1  

Choose a Topic and Define the Research Question:

• Select a topic that is relevant to your field of study. 
• Clearly define your research question or objective. Determine what specific aspect of the topic do you want to explore? 

Decide on the Scope of Your Review:

• Determine the timeframe for your literature review. Are you focusing on recent developments, or do you want a historical overview? 
• Consider the geographical scope. Is your review global, or are you focusing on a specific region? 
• Define the inclusion and exclusion criteria. What types of sources will you include? Are there specific types of studies or publications you will exclude? 

Select Databases for Searches:

• Identify relevant databases for your field. Examples include PubMed, IEEE Xplore, Scopus, Web of Science, and Google Scholar. 
• Consider searching in library catalogs, institutional repositories, and specialized databases related to your topic. 

Conduct Searches and Keep Track:

• Develop a systematic search strategy using keywords, Boolean operators (AND, OR, NOT), and other search techniques. 
• Record and document your search strategy for transparency and replicability. 
• Keep track of the articles, including publication details, abstracts, and links. Use citation management tools like EndNote, Zotero, or Mendeley to organize your references. 

Review the Literature:

• Evaluate the relevance and quality of each source. Consider the methodology, sample size, and results of studies. 
• Organize the literature by themes or key concepts. Identify patterns, trends, and gaps in the existing research. 
• Summarize key findings and arguments from each source. Compare and contrast different perspectives. 
• Identify areas where there is a consensus in the literature and where there are conflicting opinions. 
• Provide critical analysis and synthesis of the literature. What are the strengths and weaknesses of existing research? 

Organize and Write Your Literature Review:

• Literature review outline should be based on themes, chronological order, or methodological approaches. 
• Write a clear and coherent narrative that synthesizes the information gathered. 
• Use proper citations for each source and ensure consistency in your citation style (APA, MLA, Chicago, etc.). 
• Conclude your literature review by summarizing key findings, identifying gaps, and suggesting areas for future research. 

Whether you’re exploring a new research field or finding new angles to develop an existing topic, sifting through hundreds of papers can take more time than you have to spare. But what if you could find science-backed insights with verified citations in seconds? That’s the power of Paperpal’s new Research feature!  

How to write a literature review faster with Paperpal?

Paperpal, an AI writing assistant, integrates powerful academic search capabilities within its writing platform. With the Research feature, you get 100% factual insights, with citations backed by 250M+ verified research articles, directly within your writing interface with the option to save relevant references in your Citation Library. By eliminating the need to switch tabs to find answers to all your research questions, Paperpal saves time and helps you stay focused on your writing.   

Here’s how to use the Research feature:  

• Ask a question: Get started with a new document on paperpal.com. Click on the “Research” feature and type your question in plain English. Paperpal will scour over 250 million research articles, including conference papers and preprints, to provide you with accurate insights and citations. 
• Review and Save: Paperpal summarizes the information, while citing sources and listing relevant reads. You can quickly scan the results to identify relevant references and save these directly to your built-in citations library for later access. 
• Cite with Confidence: Paperpal makes it easy to incorporate relevant citations and references into your writing, ensuring your arguments are well-supported by credible sources. This translates to a polished, well-researched literature review. 

The literature review sample and detailed advice on writing and conducting a review will help you produce a well-structured report. But remember that a good literature review is an ongoing process, and it may be necessary to revisit and update it as your research progresses. By combining effortless research with an easy citation process, Paperpal Research streamlines the literature review process and empowers you to write faster and with more confidence. Try Paperpal Research now and see for yourself.  

Frequently asked questions

A literature review is a critical and comprehensive analysis of existing literature (published and unpublished works) on a specific topic or research question and provides a synthesis of the current state of knowledge in a particular field. A well-conducted literature review is crucial for researchers to build upon existing knowledge, avoid duplication of efforts, and contribute to the advancement of their field. It also helps researchers situate their work within a broader context and facilitates the development of a sound theoretical and conceptual framework for their studies.

Literature review is a crucial component of research writing, providing a solid background for a research paper’s investigation. The aim is to keep professionals up to date by providing an understanding of ongoing developments within a specific field, including research methods, and experimental techniques used in that field, and present that knowledge in the form of a written report. Also, the depth and breadth of the literature review emphasizes the credibility of the scholar in his or her field.  

Before writing a literature review, it’s essential to undertake several preparatory steps to ensure that your review is well-researched, organized, and focused. This includes choosing a topic of general interest to you and doing exploratory research on that topic, writing an annotated bibliography, and noting major points, especially those that relate to the position you have taken on the topic. 

Literature reviews and academic research papers are essential components of scholarly work but serve different purposes within the academic realm. 3 A literature review aims to provide a foundation for understanding the current state of research on a particular topic, identify gaps or controversies, and lay the groundwork for future research. Therefore, it draws heavily from existing academic sources, including books, journal articles, and other scholarly publications. In contrast, an academic research paper aims to present new knowledge, contribute to the academic discourse, and advance the understanding of a specific research question. Therefore, it involves a mix of existing literature (in the introduction and literature review sections) and original data or findings obtained through research methods. 

Literature reviews are essential components of academic and research papers, and various strategies can be employed to conduct them effectively. If you want to know how to write a literature review for a research paper, here are four common approaches that are often used by researchers.  Chronological Review: This strategy involves organizing the literature based on the chronological order of publication. It helps to trace the development of a topic over time, showing how ideas, theories, and research have evolved.  Thematic Review: Thematic reviews focus on identifying and analyzing themes or topics that cut across different studies. Instead of organizing the literature chronologically, it is grouped by key themes or concepts, allowing for a comprehensive exploration of various aspects of the topic.  Methodological Review: This strategy involves organizing the literature based on the research methods employed in different studies. It helps to highlight the strengths and weaknesses of various methodologies and allows the reader to evaluate the reliability and validity of the research findings.  Theoretical Review: A theoretical review examines the literature based on the theoretical frameworks used in different studies. This approach helps to identify the key theories that have been applied to the topic and assess their contributions to the understanding of the subject.  It’s important to note that these strategies are not mutually exclusive, and a literature review may combine elements of more than one approach. The choice of strategy depends on the research question, the nature of the literature available, and the goals of the review. Additionally, other strategies, such as integrative reviews or systematic reviews, may be employed depending on the specific requirements of the research.

The literature review format can vary depending on the specific publication guidelines. However, there are some common elements and structures that are often followed. Here is a general guideline for the format of a literature review:  Introduction:   Provide an overview of the topic.  Define the scope and purpose of the literature review.  State the research question or objective.  Body:   Organize the literature by themes, concepts, or chronology.  Critically analyze and evaluate each source.  Discuss the strengths and weaknesses of the studies.  Highlight any methodological limitations or biases.  Identify patterns, connections, or contradictions in the existing research.  Conclusion:   Summarize the key points discussed in the literature review.  Highlight the research gap.  Address the research question or objective stated in the introduction.  Highlight the contributions of the review and suggest directions for future research.

Both annotated bibliographies and literature reviews involve the examination of scholarly sources. While annotated bibliographies focus on individual sources with brief annotations, literature reviews provide a more in-depth, integrated, and comprehensive analysis of existing literature on a specific topic. The key differences are as follows: 

References 

• Denney, A. S., & Tewksbury, R. (2013). How to write a literature review.  Journal of criminal justice education ,  24 (2), 218-234. 
• Pan, M. L. (2016).  Preparing literature reviews: Qualitative and quantitative approaches . Taylor & Francis. 
• Cantero, C. (2019). How to write a literature review.  San José State University Writing Center . 

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Literature Reviews

What this handout is about.

This handout will explain what literature reviews are and offer insights into the form and construction of literature reviews in the humanities, social sciences, and sciences.

Introduction

OK. You’ve got to write a literature review. You dust off a novel and a book of poetry, settle down in your chair, and get ready to issue a “thumbs up” or “thumbs down” as you leaf through the pages. “Literature review” done. Right?

Wrong! The “literature” of a literature review refers to any collection of materials on a topic, not necessarily the great literary texts of the world. “Literature” could be anything from a set of government pamphlets on British colonial methods in Africa to scholarly articles on the treatment of a torn ACL. And a review does not necessarily mean that your reader wants you to give your personal opinion on whether or not you liked these sources.

What is a literature review, then?

A literature review discusses published information in a particular subject area, and sometimes information in a particular subject area within a certain time period.

A literature review can be just a simple summary of the sources, but it usually has an organizational pattern and combines both summary and synthesis. A summary is a recap of the important information of the source, but a synthesis is a re-organization, or a reshuffling, of that information. It might give a new interpretation of old material or combine new with old interpretations. Or it might trace the intellectual progression of the field, including major debates. And depending on the situation, the literature review may evaluate the sources and advise the reader on the most pertinent or relevant.

But how is a literature review different from an academic research paper?

The main focus of an academic research paper is to develop a new argument, and a research paper is likely to contain a literature review as one of its parts. In a research paper, you use the literature as a foundation and as support for a new insight that you contribute. The focus of a literature review, however, is to summarize and synthesize the arguments and ideas of others without adding new contributions.

Why do we write literature reviews?

Literature reviews provide you with a handy guide to a particular topic. If you have limited time to conduct research, literature reviews can give you an overview or act as a stepping stone. For professionals, they are useful reports that keep them up to date with what is current in the field. For scholars, the depth and breadth of the literature review emphasizes the credibility of the writer in his or her field. Literature reviews also provide a solid background for a research paper’s investigation. Comprehensive knowledge of the literature of the field is essential to most research papers.

Who writes these things, anyway?

Literature reviews are written occasionally in the humanities, but mostly in the sciences and social sciences; in experiment and lab reports, they constitute a section of the paper. Sometimes a literature review is written as a paper in itself.

Let’s get to it! What should I do before writing the literature review?

If your assignment is not very specific, seek clarification from your instructor:

• Roughly how many sources should you include?
• What types of sources (books, journal articles, websites)?
• Should you summarize, synthesize, or critique your sources by discussing a common theme or issue?
• Should you evaluate your sources?
• Should you provide subheadings and other background information, such as definitions and/or a history?

Find models

Look for other literature reviews in your area of interest or in the discipline and read them to get a sense of the types of themes you might want to look for in your own research or ways to organize your final review. You can simply put the word “review” in your search engine along with your other topic terms to find articles of this type on the Internet or in an electronic database. The bibliography or reference section of sources you’ve already read are also excellent entry points into your own research.

Narrow your topic

There are hundreds or even thousands of articles and books on most areas of study. The narrower your topic, the easier it will be to limit the number of sources you need to read in order to get a good survey of the material. Your instructor will probably not expect you to read everything that’s out there on the topic, but you’ll make your job easier if you first limit your scope.

Keep in mind that UNC Libraries have research guides and to databases relevant to many fields of study. You can reach out to the subject librarian for a consultation: https://library.unc.edu/support/consultations/ .

And don’t forget to tap into your professor’s (or other professors’) knowledge in the field. Ask your professor questions such as: “If you had to read only one book from the 90’s on topic X, what would it be?” Questions such as this help you to find and determine quickly the most seminal pieces in the field.

Consider whether your sources are current

Some disciplines require that you use information that is as current as possible. In the sciences, for instance, treatments for medical problems are constantly changing according to the latest studies. Information even two years old could be obsolete. However, if you are writing a review in the humanities, history, or social sciences, a survey of the history of the literature may be what is needed, because what is important is how perspectives have changed through the years or within a certain time period. Try sorting through some other current bibliographies or literature reviews in the field to get a sense of what your discipline expects. You can also use this method to consider what is currently of interest to scholars in this field and what is not.

Strategies for writing the literature review

Find a focus.

A literature review, like a term paper, is usually organized around ideas, not the sources themselves as an annotated bibliography would be organized. This means that you will not just simply list your sources and go into detail about each one of them, one at a time. No. As you read widely but selectively in your topic area, consider instead what themes or issues connect your sources together. Do they present one or different solutions? Is there an aspect of the field that is missing? How well do they present the material and do they portray it according to an appropriate theory? Do they reveal a trend in the field? A raging debate? Pick one of these themes to focus the organization of your review.

Convey it to your reader

A literature review may not have a traditional thesis statement (one that makes an argument), but you do need to tell readers what to expect. Try writing a simple statement that lets the reader know what is your main organizing principle. Here are a couple of examples:

The current trend in treatment for congestive heart failure combines surgery and medicine. More and more cultural studies scholars are accepting popular media as a subject worthy of academic consideration.

Consider organization

You’ve got a focus, and you’ve stated it clearly and directly. Now what is the most effective way of presenting the information? What are the most important topics, subtopics, etc., that your review needs to include? And in what order should you present them? Develop an organization for your review at both a global and local level:

First, cover the basic categories

Just like most academic papers, literature reviews also must contain at least three basic elements: an introduction or background information section; the body of the review containing the discussion of sources; and, finally, a conclusion and/or recommendations section to end the paper. The following provides a brief description of the content of each:

• Introduction: Gives a quick idea of the topic of the literature review, such as the central theme or organizational pattern.
• Body: Contains your discussion of sources and is organized either chronologically, thematically, or methodologically (see below for more information on each).
• Conclusions/Recommendations: Discuss what you have drawn from reviewing literature so far. Where might the discussion proceed?

Organizing the body

Once you have the basic categories in place, then you must consider how you will present the sources themselves within the body of your paper. Create an organizational method to focus this section even further.

To help you come up with an overall organizational framework for your review, consider the following scenario:

You’ve decided to focus your literature review on materials dealing with sperm whales. This is because you’ve just finished reading Moby Dick, and you wonder if that whale’s portrayal is really real. You start with some articles about the physiology of sperm whales in biology journals written in the 1980’s. But these articles refer to some British biological studies performed on whales in the early 18th century. So you check those out. Then you look up a book written in 1968 with information on how sperm whales have been portrayed in other forms of art, such as in Alaskan poetry, in French painting, or on whale bone, as the whale hunters in the late 19th century used to do. This makes you wonder about American whaling methods during the time portrayed in Moby Dick, so you find some academic articles published in the last five years on how accurately Herman Melville portrayed the whaling scene in his novel.

Now consider some typical ways of organizing the sources into a review:

• Chronological: If your review follows the chronological method, you could write about the materials above according to when they were published. For instance, first you would talk about the British biological studies of the 18th century, then about Moby Dick, published in 1851, then the book on sperm whales in other art (1968), and finally the biology articles (1980s) and the recent articles on American whaling of the 19th century. But there is relatively no continuity among subjects here. And notice that even though the sources on sperm whales in other art and on American whaling are written recently, they are about other subjects/objects that were created much earlier. Thus, the review loses its chronological focus.
• By publication: Order your sources by publication chronology, then, only if the order demonstrates a more important trend. For instance, you could order a review of literature on biological studies of sperm whales if the progression revealed a change in dissection practices of the researchers who wrote and/or conducted the studies.
• By trend: A better way to organize the above sources chronologically is to examine the sources under another trend, such as the history of whaling. Then your review would have subsections according to eras within this period. For instance, the review might examine whaling from pre-1600-1699, 1700-1799, and 1800-1899. Under this method, you would combine the recent studies on American whaling in the 19th century with Moby Dick itself in the 1800-1899 category, even though the authors wrote a century apart.
• Thematic: Thematic reviews of literature are organized around a topic or issue, rather than the progression of time. However, progression of time may still be an important factor in a thematic review. For instance, the sperm whale review could focus on the development of the harpoon for whale hunting. While the study focuses on one topic, harpoon technology, it will still be organized chronologically. The only difference here between a “chronological” and a “thematic” approach is what is emphasized the most: the development of the harpoon or the harpoon technology.But more authentic thematic reviews tend to break away from chronological order. For instance, a thematic review of material on sperm whales might examine how they are portrayed as “evil” in cultural documents. The subsections might include how they are personified, how their proportions are exaggerated, and their behaviors misunderstood. A review organized in this manner would shift between time periods within each section according to the point made.
• Methodological: A methodological approach differs from the two above in that the focusing factor usually does not have to do with the content of the material. Instead, it focuses on the “methods” of the researcher or writer. For the sperm whale project, one methodological approach would be to look at cultural differences between the portrayal of whales in American, British, and French art work. Or the review might focus on the economic impact of whaling on a community. A methodological scope will influence either the types of documents in the review or the way in which these documents are discussed. Once you’ve decided on the organizational method for the body of the review, the sections you need to include in the paper should be easy to figure out. They should arise out of your organizational strategy. In other words, a chronological review would have subsections for each vital time period. A thematic review would have subtopics based upon factors that relate to the theme or issue.

Sometimes, though, you might need to add additional sections that are necessary for your study, but do not fit in the organizational strategy of the body. What other sections you include in the body is up to you. Put in only what is necessary. Here are a few other sections you might want to consider:

• Current Situation: Information necessary to understand the topic or focus of the literature review.
• History: The chronological progression of the field, the literature, or an idea that is necessary to understand the literature review, if the body of the literature review is not already a chronology.
• Methods and/or Standards: The criteria you used to select the sources in your literature review or the way in which you present your information. For instance, you might explain that your review includes only peer-reviewed articles and journals.

Questions for Further Research: What questions about the field has the review sparked? How will you further your research as a result of the review?

Begin composing

Once you’ve settled on a general pattern of organization, you’re ready to write each section. There are a few guidelines you should follow during the writing stage as well. Here is a sample paragraph from a literature review about sexism and language to illuminate the following discussion:

However, other studies have shown that even gender-neutral antecedents are more likely to produce masculine images than feminine ones (Gastil, 1990). Hamilton (1988) asked students to complete sentences that required them to fill in pronouns that agreed with gender-neutral antecedents such as “writer,” “pedestrian,” and “persons.” The students were asked to describe any image they had when writing the sentence. Hamilton found that people imagined 3.3 men to each woman in the masculine “generic” condition and 1.5 men per woman in the unbiased condition. Thus, while ambient sexism accounted for some of the masculine bias, sexist language amplified the effect. (Source: Erika Falk and Jordan Mills, “Why Sexist Language Affects Persuasion: The Role of Homophily, Intended Audience, and Offense,” Women and Language19:2).

Use evidence

In the example above, the writers refer to several other sources when making their point. A literature review in this sense is just like any other academic research paper. Your interpretation of the available sources must be backed up with evidence to show that what you are saying is valid.

Be selective

Select only the most important points in each source to highlight in the review. The type of information you choose to mention should relate directly to the review’s focus, whether it is thematic, methodological, or chronological.

Use quotes sparingly

Falk and Mills do not use any direct quotes. That is because the survey nature of the literature review does not allow for in-depth discussion or detailed quotes from the text. Some short quotes here and there are okay, though, if you want to emphasize a point, or if what the author said just cannot be rewritten in your own words. Notice that Falk and Mills do quote certain terms that were coined by the author, not common knowledge, or taken directly from the study. But if you find yourself wanting to put in more quotes, check with your instructor.

Summarize and synthesize

Remember to summarize and synthesize your sources within each paragraph as well as throughout the review. The authors here recapitulate important features of Hamilton’s study, but then synthesize it by rephrasing the study’s significance and relating it to their own work.

Keep your own voice

While the literature review presents others’ ideas, your voice (the writer’s) should remain front and center. Notice that Falk and Mills weave references to other sources into their own text, but they still maintain their own voice by starting and ending the paragraph with their own ideas and their own words. The sources support what Falk and Mills are saying.

Use caution when paraphrasing

When paraphrasing a source that is not your own, be sure to represent the author’s information or opinions accurately and in your own words. In the preceding example, Falk and Mills either directly refer in the text to the author of their source, such as Hamilton, or they provide ample notation in the text when the ideas they are mentioning are not their own, for example, Gastil’s. For more information, please see our handout on plagiarism .

Revise, revise, revise

Draft in hand? Now you’re ready to revise. Spending a lot of time revising is a wise idea, because your main objective is to present the material, not the argument. So check over your review again to make sure it follows the assignment and/or your outline. Then, just as you would for most other academic forms of writing, rewrite or rework the language of your review so that you’ve presented your information in the most concise manner possible. Be sure to use terminology familiar to your audience; get rid of unnecessary jargon or slang. Finally, double check that you’ve documented your sources and formatted the review appropriately for your discipline. For tips on the revising and editing process, see our handout on revising drafts .

Works consulted

We consulted these works while writing this handout. This is not a comprehensive list of resources on the handout’s topic, and we encourage you to do your own research to find additional publications. Please do not use this list as a model for the format of your own reference list, as it may not match the citation style you are using. For guidance on formatting citations, please see the UNC Libraries citation tutorial . We revise these tips periodically and welcome feedback.

Anson, Chris M., and Robert A. Schwegler. 2010. The Longman Handbook for Writers and Readers , 6th ed. New York: Longman.

Jones, Robert, Patrick Bizzaro, and Cynthia Selfe. 1997. The Harcourt Brace Guide to Writing in the Disciplines . New York: Harcourt Brace.

Lamb, Sandra E. 1998. How to Write It: A Complete Guide to Everything You’ll Ever Write . Berkeley: Ten Speed Press.

Rosen, Leonard J., and Laurence Behrens. 2003. The Allyn & Bacon Handbook , 5th ed. New York: Longman.

Troyka, Lynn Quittman, and Doug Hesse. 2016. Simon and Schuster Handbook for Writers , 11th ed. London: Pearson.

You may reproduce it for non-commercial use if you use the entire handout and attribute the source: The Writing Center, University of North Carolina at Chapel Hill

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How To Find A-Grade Literature For Review

Sourcing, evaluating and organising.

By: David Phair (PhD) and Peter Quella (PhD) | January 2022

As we’ve discussed previously on our blog and YouTube channel, the first step of the literature review process is to source high-quality , relevant resources for your review, and to catalogue these pieces of literature in a systematic way so that you can digest and synthesise all the content efficiently.

In this article, we’ll look discuss 6 important things to keep in mind for the initial stage of your literature review so that you can source high-quality, relevant resources, quickly and efficiently. Let’s get started!

Overview: Literature Review Sourcing

• Develop and follow a clear literature search strategy
• Understand and use different types of literature correctly
• Carefully evaluate the quality of your potential sources
• Use a reference manager and a literature catalogue
• Read as broadly and comprehensively as possible
• Keep your golden thread front of mind throughout the process

1. Have a clear literature search strategy

As with any task in the research process, you need to have a clear plan of action before you get started, or you’ll end up wasting a lot of time and energy. So, before you begin your literature review , it’s useful to develop a simple search strategy . Broadly speaking, a good literature search strategy should include the following steps:

Step one – Clearly identify your golden thread

Your golden thread consists of your research aims , research objectives and research questions . These three components should be tightly aligned to form the focus of your research. If you’re unclear what your research aims and research questions are, you’re not going to have a clear direction when trying to source literature. As a result, you’re going to waste a lot of time reviewing irrelevant resources.

So, make sure that you have clarity regarding your golden thread before you start searching for literature. Of course, your research aims, objectives and questions may evolve or shift as a result of the literature review process (in fact, this is quite common), but you still need to have a clear focus to get things started.

Step two – Develop a keyword/keyphrase list

Once you’ve clearly articulated your golden thread in terms of the research aims, objectives and questions, the next step is to develop a list of keywords or keyphrases, based on these three elements (the golden thread). You’ll also want to include synonyms and alternative spellings (for example, American vs British English) in your list.

For example, if your research aims and research questions involve investigating organisational trust , your keyword list might include:

• Organisational trust
• Organizational trust (US spelling)
• Consumer trust
• Brand trust
• Online trust

When it comes to brainstorming keywords, the more the better . Don’t hold back at this stage. You’ll quickly find out which ones are useful, and which aren’t when you start searching. So, it’s best to just go as broad as possible here to ensure you cast a wide net.

Step three – Identify the relevant databases

Now that you’ve got a comprehensive set of keywords, the next step is to identify which literature databases will be most useful and relevant for your particular study. There are hundreds, if not thousands of databases out there, and they are often subject or discipline-specific . For example, within the medicine space, Medline is a popular one.

To identify relevant databases, it’s best to speak to your research advisor/supervisor, Grad Coach or a librarian at your university library. Oftentimes, a quick chat with a skilled librarian can yield tremendous insight. Don’t be shy to ask – chances are, they’ll be thrilled that you asked!

At this stage, you might be asking, “why not just use Google Scholar?”. Of course, an academic search engine like Google Scholar will be useful in terms of getting started and finding a broad range of resources, but it won’t always present every possible resource  or the best quality resources. It also has limited filtering options compared to some of the specialist databases, so you shouldn’t rely purely on Google Scholar.

Step four – Use Boolean operators to refine your search

Once you’ve identified your keywords and databases, it’s time to start searching for literature – hooray! However, you’ll quickly find that there is a seemingly endless number of journal articles to sift through, and you have limited time to work through the literature. So, you’ll need to get smart about how you use these databases – enter Boolean operators.

Boolean operators are special characters that allow you to refine your search. Common operators include:

• AND – only show results that contain both X and Y
• OR – show results that contain X or Y
• NOT – show results that include X, but not Y

These operators are incredibly useful, especially when there are topics that are very similar to yours but are not relevant . For example, if you’re researching something about the growth of apples, you’ll want to exclude all literature related to Apple, the company. Boolean operators allow you to cut out the irrelevant content and improve the signal to noise ratio in your search.

Need a helping hand?

2. Use different types of literature correctly

Once you start searching for literature, you’ll quickly notice that there are different “types” of resources that come up. It’s important to understand the different types of literature available to you and how to use each of them appropriately.

Generally speaking, you’ll find three categories of literature:

Primary literature

Secondary literature

Tertiary literature

Primary literature refers to journal articles , typically peer reviewed, which document a study that was undertaken, where data were collected and analysed, and findings were discussed. For example, a journal article that involves the collection and analysis of survey data to identify differences in personality between two groups of people.

Primary literature should, ideally, form the foundation of your literature review – the bread and butter, so to speak. You’ll likely refer to many of the arguments made and findings identified in these types of articles to build your own arguments throughout your literature review. You’ll also rely on these types of articles for theoretical models and frameworks, which may form the foundation of your own proposed framework, depending on the nature of your research.

Lastly, primary literature can be a useful source of measurement scales for quantitative studies. For example, many journal articles will include a copy of the survey measures they used at the end of the article, which will typically be reliable and valid. You can either use these “as is” or as a foundation for your own survey measures .

So, long story short, you’ll need a good stockpile of these types of resources. They are, admittedly, more “dense” and challenging to digest than the other types of literature, but taking the time to work through them will pay off greatly.

Secondary literature refers to journal articles that summarise and integrate the findings from primary literature. For example, you’ll likely find “review of the literature” type journal articles which provide an overview of the current state of the research (at the time of publication, of course).

Secondary literature is very useful for orienting yourself with regards to the current state of knowledge and identifying key researchers , seminal works and so on. In other words, they’re a good tool to make sure you’ve got a broad, comprehensive view of what all is out there. They’re not going to give you the level of detail that primary literature will (and they’ll likely be a bit outdated), but they’ll point you in the right direction.

In practical terms, it’s a good idea to start by reviewing secondary literature-type articles to help you get a bird’s eye view of the landscape and then dive deeper into the primary literature to get a grasp of the specifics and to bring your knowledge up to date with the most current studies.

The final category of literature refers to sources that would be considered less academic and scientifically rigorous in nature, but up to date and highly relevant. For example, sources such as current industry and country reports published by management consulting groups, news articles, blog posts and so on.

While these sources are not as credible and trustworthy as journal articles (especially peer-reviewed ones), they can provide very up to date information , whereas academic research tends to roll out quite slowly. Therefore, they can be very useful for contextualising your research topic and/or demonstrating a current trend. Quite often, you’d cite these types of sources in your introduction chapter rather than your literature review chapter, but you may still have use for them in the latter.

In summary, it’s important to understand the three different types of literature – primary, secondary and tertiary, and use them appropriately in your dissertation, thesis or research project.

3. Carefully evaluate the quality of your sources

As we’ve alluded to, not all literature is created equally. Not only does literature vary in terms of type (i.e., primary vs secondary), it also varies in terms of overall quality .

Simply put, all sources exist on a quality spectrum . On the high end of the spectrum are peer-reviewed articles published in popular, credible journals. Next are journal articles that are not peer-reviewed, or that are published in lower quality or lesser-known journals. In the middle are sources like textbooks and reports by professional organisations (e.g., management consulting firms). On the low end are sources like newspapers, blog posts and social media posts.

As you can probably see, this loosely reflects the categories we mentioned previously (primary, secondary and tertiary literature), so there is once again a trade-off between quality and recency . Therefore, you need to carefully evaluate the quality of each potential source and let this inform how you use it in your literature review. Importantly, this doesn’t mean that you can’t include a newspaper article or blog post as a source – it just means that you shouldn’t rely too heavily on these types of courses as the core of your argument.

When evaluating journal articles, you can consider their citation count (i.e., the number of other articles that reference them) as a quality indicator. But keep in mind that citation count is a product of many factors , including the popularity of the article, the popularity of the research field and most importantly, time. In other words, it’s natural for newer articles to have lower citation counts. This is useful to keep in mind, as you ideally want to focus on more recent literature (published within the last 3-5 years) in your literature review.

In summary, aim to focus on higher-quality literature , especially when you’re building core arguments in your literature review. You don’t, for example, want to make an argument regarding the importance and novelty of your research (i.e., its justification) based on some blogger’s opinion.

4. Use a reference manager and literature catalogue

As you review the literature and build your collection of potential sources, you’ll need a way to stay on top of all the details. To this end, it’s essential that you make use of both a reference manager and a literature catalogue . Let’s take a look at each of these.

The reference manager

Reference management software helps you store the reference information for each of your articles and manages the citation and reference list building task as you write up your actual literature review chapter. In other words, a reference manager ensures that your citations and reference list are correctly formatted in the reference style required by your university – e.g., Harvard, APA , MLA, etc.

Using a reference manager saves you the hassle of trying to manually type out your in-text citations and reference list, which you’re bound to mess up in some way. A simple comma out of place, incorrect italicisation or boldfacing can result in you losing marks, and that’s highly likely when you’re dealing with a large number of references. So, it just makes sense to use a piece of software for this task.

The good news is that there are loads of options , many of which are free . For new researchers, we usually recommend Mendeley or Zotero . So, don’t waste your time trying to manage your references manually – get yourself a reference manager ASAP.

The literature catalogue

The second tool you’ll need is a literature catalogue. This is simply an Excel document that you can easily compile yourself (or download our free one here ), where you list and categorise all your literature. You might doubt whether it’s really necessary to have a separate catalogue when you’ve already logged your reference data in a reference manager, but trust us, you’re going to need it. It’s quite common that throughout the literature review process, you’ll review hundreds of articles , so it’s simply impossible that you’ll remember all the details.

What makes a literature catalogue extremely powerful is that you can store as much information as you want for each piece of literature that you include (whereas a reference manager only includes basic fields). Typically, you would include things like:

• Title of the article
• One-line summary of the research
• Key findings and takeaways
• Context (i.e. where did it take place)
• Useful quotes
• Methodology (e.g. qualitative, quantitative or mixed methods)
• Category (you can customise as many categories as makes sense for you)
• Quality of resource
• Type of literature (e.g. primary, secondary or tertiary)

These are just some examples – ultimately you need to customise your catalogue to suit your needs. But, as you can see, the more detailed you get, the more useful your catalogue will become when it’s time to synthesise the research and write up your literature. For example, you could quickly filter the catalogue to display all papers that support a certain hypothesis, that argue in a specific direction, or that were written at a certain time.

5. Read widely (and efficiently)

As we’ve discussed in other posts , the purpose of the literature review chapter is to present and synthesise the current state of knowledge in relation to your research aims, objectives and research questions. To do this, you’ll need to read as broadly and comprehensively as possible. You’ll need to demonstrate to your marker that you “know your stuff” and have a strong understanding of the relevant literature.

Ideally, your literature review should include an eclectic mix of research that features multiple perspectives . In other words, you need to avoid getting tunnel vision and running down one narrow stream of literature. Ideally, you want to highlight both the agreements and disagreements in the literature to show that you’ve got a well-balanced view of the situation.

If your topic is particularly novel and there isn’t a lot of literature available, you can focus your efforts on adjacent literature . For example, if you’re researching factors that cultivate organisational trust in Germany, but there’s very little literature on this, you can draw on US and UK-based studies to form your theoretical foundation. Similarly, if you’re investigating an occurrence in an under-researched industry, you can look at other industries for literature.

As you read each journal article, be sure to scan the reference list for further reading (this technique is called “snowballing”). By doing this, you will quickly identify key literature within a topic area and fast-track your literature review process. You can also check which articles have cited any given article using Google Scholar, which will give you a “forward view” in terms of the progress of the literature.

Given that you’ll need to work through a large amount of literature, it’s useful to adopt a “strategic skimming ” approach when you’re initially assessing articles, so that you don’t need to read the entire journal article . In practical terms, this means you can focus on just the title and abstract at first, and if the article seems relevant based on those, you can jump to the findings section and limitations section . These sections will give you a solid indicator as to whether the resource is relevant to your study, which you can then shortlist for full reading.

6. Keep your golden thread front of mind

Your golden thread (i.e., your research aims, objectives and research questions) needs to guide every decision you make throughout your dissertation, thesis, or research project. This is especially true in the literature review stage, as the golden thread should act as a litmus test for relevance whenever you’re reviewing potential articles or resources. In other words, if an article doesn’t relate to your golden thread, its probably not worth spending time on.

Keep in mind that your research aims, objectives and research questions may evolve as a result of the literature review process. For example, you may find that after reviewing the literature in more depth, your topic focus is not as novel as you originally thought, or that there’s an adjacent area that is more deserving of investigation. This is perfectly natural, so don’t be surprised if your focus shifts somewhat during the review process. Just remember to update your literature review in this case and be sure to update any previous chapters so that your document has a consistent focus throughout.

Wrapping up

In this article, we covered 6 pointers to help you find and evaluate high-quality resources for your literature review. To recap:

• Understand and use different types of literature for the right purpose

If you have any questions, please feel free to leave a comment . Alternatively, if you’d like hands-on help with your literature review, be sure to check out our 1-on-1 private coaching services here.

Psst… there’s more!

This post is an extract from our bestselling short course, Literature Review Bootcamp . If you want to work smart, you don't want to miss this .

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this is very helpful to any researcher, I am learning this for the benefit of myself and overs as a library staff

Of course this is useful to most of researchers. I have learnt a lot issues which are relevant to teaching research. Surely they will enjoy my research sessions.

Thank you. Very clear and concise

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Differences in quality of anticoagulation care delivery according to ethnoracial group in the United States: A scoping review

• Open access
• Published: 11 May 2024

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• Sara R. Vazquez   ORCID: orcid.org/0000-0002-9267-8980 1 ,
• Naomi Y. Yates 2 ,
• Craig J. Beavers 3 , 4 ,
• Darren M. Triller 3 &
• Mary M. McFarland 5  

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Anticoagulation therapy is standard for conditions like atrial fibrillation, venous thromboembolism, and valvular heart disease, yet it is unclear if there are ethnoracial disparities in its quality and delivery in the United States. For this scoping review, electronic databases were searched for publications between January 1, 2011 – March 30, 2022. Eligible studies included all study designs, any setting within the United States, patients prescribed anticoagulation for any indication, outcomes reported for ≥ 2 distinct ethnoracial groups. The following four research questions were explored: Do ethnoracial differences exist in 1) access to guideline-based anticoagulation therapy, 2) quality of anticoagulation therapy management, 3) clinical outcomes related to anticoagulation care, 4) humanistic/educational outcomes related to anticoagulation therapy. A total of 5374 studies were screened, 570 studies received full-text review, and 96 studies were analyzed. The largest mapped focus was patients’ access to guideline-based anticoagulation therapy (88/96 articles, 91.7%). Seventy-eight articles made statistical outcomes comparisons among ethnoracial groups. Across all four research questions, 79 articles demonstrated favorable outcomes for White patients compared to non-White patients, 38 articles showed no difference between White and non-White groups, and 8 favored non-White groups (the total exceeds the 78 articles with statistical outcomes as many articles reported multiple outcomes). Disparities disadvantaging non-White patients were most pronounced in access to guideline-based anticoagulation therapy (43/66 articles analyzed) and quality of anticoagulation management (19/21 articles analyzed). Although treatment guidelines do not differentiate anticoagulant therapy by ethnoracial group, this scoping review found consistently favorable outcomes for White patients over non-White patients in the domains of access to anticoagulation therapy for guideline-based indications and quality of anticoagulation therapy management. No differences among groups were noted in clinical outcomes, and very few studies assessed humanistic or educational outcomes.

Graphical Abstract

Scoping Review: Differences in quality of United States anticoagulation care delivery by ethnoracial group. AF = atrial fibrillation; AMS = anticoagulation management service; DOACs = direct oral anticoagulants; INR = international normalized ratio; PSM = patient self-management; PST = patient self-testing

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Avoid common mistakes on your manuscript.

Introduction

It is well-established that in the United States (US) ethnoracial disparities exist in various aspects of health care. Specifically, persons identifying with an ethnoracial minority group may have more challenging access to health care, worse clinical outcomes, and higher dissatisfaction with care compared to White persons [ 1 , 2 , 3 , 4 , 5 ]. There are differences by ethnoracial group in the prevalence of the three most common indications for which anticoagulants are prescribed, stroke prevention in atrial fibrillation (AF), treatment of venous thromboembolism (VTE), and valvular heart disease [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ]. Specifically, VTE is most prevalent in Black patients compared to White and Asian patients, whereas AF is most prevalent in White patients compared to Black, Asian, and Hispanic patients [ 9 , 10 , 15 ]. Calcific heart valve disease has the most relevance to the US population, and epidemiologic data has shown that aortic stenosis is more prevalent in White patients compared to Black, Asian, and Hispanic patients [ 17 ]. Despite these epidemiologic differences, there is no evidence to suggest there should be any difference in treatment strategies across ethnoracial patient groups.

While studies have demonstrated genotypic differences that may result in different warfarin dose requirements[ 18 ], and early studies may indicate genotypic differences in direct oral anticoagulant (DOAC) response [ 19 ], no US-based labeling or guidelines recommend a difference in prescription or delivery of anticoagulation care based on race or ethnicity. However, it is unclear if there are in fact differences in the type and quality of anticoagulation therapy, which is standard of care for each of these conditions [ 20 , 21 , 22 , 23 , 24 ]. Anticoagulants remain in the top three classes of drugs causing adverse drug events (primarily bleeding) in the United States, according to the 2014 National Action Plan for Adverse Drug Event Prevention. One of the goals of the National Action Plan was to identify patient populations at higher risk for these adverse drug events to inform the development of targeted harm reduction strategies [ 25 ]. If ethnoracial minority patients are receiving sub-optimal anticoagulation therapy in certain measurable areas of anticoagulation quality, it is vital to highlight the areas of disparity so that these can be explored and care optimized. Anticoagulation providers often have high frequency contact with their patients and can be a reliable connection between disproportionately affected patients and a system in need of change. Systematic reviews of ethnoracial disparities in AF and VTE have been conducted. The AF review assessed AF prevalence among racial groups as well as differences in symptoms and management, including stroke prevention with warfarin or DOACs [ 9 ]. The VTE review specifically assessed VTE prevalence and racial differences in COVID-19 and did report the use of any prophylactic anticoagulation, but this was not part of the analysis [ 26 ]. No review of racial disparities in quality of anticoagulation therapy was found in search results conducted prior to protocol.

In this study we aimed to identify any potential ethnoracial disparities in anticoagulation care quality in the US. The decision to limit the study to a US population was based on our observation that the US has a unique history of interactions between racial and ethnic groups that may not necessarily be reflected by studies conducted in other countries. Additionally, health care delivery systems vary widely across the world, and we wanted to include the data most relevant to the potential racial disparities existing in the US health care system. The term “race” was used to identify a group of people with shared physical characteristics believed to be of common ancestry whereas the term “ethnicity” refers to a group of people with shared cultural traditions [ 27 ]. We recognize these terms may be far more complex. In order to encompass both the physical and cultural aspects of a patient’s identity we have chosen to use the term “ethnoracial” for this study [ 27 ]. Highlighting existing differences will serve as a stimulus for institutions and clinicians to assess current services, implement quality improvement measures, and inform future research efforts to deliver optimal anticoagulation care for all patients. The scoping review protocol was registered December 22, 2021 to Open Science Framework, https://doi.org/10.17605/OSF.IO/9SE7H [ 28 ].

We conducted this scoping review with guidance from the 2020 version of the JBI Manual for Evidence Synthesis and organized to Arksey's five stages: 1) identifying the research question, 2) identifying relevant studies, 3) study selection, 4) charting the data and 5) collating, summarizing and reporting the results [ 29 , 30 ]. For transparency and reproducibility, we followed the PRISMA-ScR and PRISMA-S reporting guidelines in reporting our results [ 31 ]. We used Covidence (Veritas Health Innovation,) an online systematic reviewing platform to screen and select studies. Citation management and duplicate detection and removal was accomplished with EndNote, version 19 (Clarivate Analytics.) Data was charted from our selected studies using REDCap, an electronic data capture tool hosted at the University of Utah [ 32 ].

Literature searching

An information specialist developed and translated search strategies for the online databases using a combination of keywords and controlled subject headings unique to each database along with team feedback. Peer review of the strategies was conducted by library colleagues using the PRESS guidelines. [ 33 ] Electronic databases searched included Medline (Ovid) 2011–2022, Embase (embase.com) 2011–2022, CINAHL Complete (Ebscohost) 2011–2022, Sociological Abstracts (ProQuest) 2011–2022, International Pharmaceutical Abstracts (Ovid) 2011–2022, Scopus (scopus.org) 2011–2022 and Web of Science Core Collection (Clarivate Analytics) 2011–2022. Limits included a date range from January 1, 2011 to March 30—April 19, 2022, as not all database results were exported on the same day. See Supplemental File 1 for detailed search strategies. A search of grey literature was not conducted due to time and resource constraints.

Study Selection

For inclusion, each study required two votes by independent reviewers for screening of titles and abstracts followed by full-text review. A third reviewer provided the deciding vote. Data extraction was performed by two independent reviewers, and consensus on any discrepancies was reached via discussion between the reviewers. The data form was piloted by two team members using sentinel articles prior to data extraction.

Eligible studies included all types of study designs in any setting with a population of patients of any age or gender located within the US who were prescribed anticoagulant therapy for any indication, published between January 1, 2011 – March 30, 2022 in order to capture contemporary and clinically relevant practices.

We defined the following research questions for this scoping review as described in Table  1 .

Studies must have reported any of these anticoagulation care delivery outcomes for at least 2 distinct racial or ethnic groups. We excluded genotyping studies and non-English language articles at full text review, as we had no funding for translation services. In checking references of included studies, no additional studies met inclusion criteria. In accordance with scoping review methodology, no quality assessment of included studies was conducted as our goal was to rapidly map the literature. As this is a scoping review of the literature, no aggregate or pooled analysis was performed; however, for ease of interpretation, when assessing for the directionality of the outcomes in the various studies, we categorized studies into Favoring White Group, Favoring Non-White Group, and No Differences Among Ethnoracial Groups. If studies had mixed outcomes of favoring one group for one outcome and no difference for another, then the study was categorized with the favoring group.

A PRISMA flow diagram in Fig.  1 depicts search results, exclusions, and inclusions. The search strategies retrieved 6900 results with 1526 duplicates removed. Following title and abstract screening of 5374 references, 570 articles received full-text review. The most common reason for the exclusion of 474 studies was that outcomes were not reported for two distinct ethnoracial groups (171 studies). Ninety-six studies underwent data extraction.

PRISMA Flow Diagram

Study characteristics-overall

Fifty of the 96 studies were published between 2011 and 2018 (an average of 6.25 articles per year that compared outcomes between two ethnoracial groups) and 43 of 96 studies were published in the years 2019–2021 (average 14.3 articles per year; 2022 excluded here because only 4 months of data was captured) (Fig.  2 ). Most studies analyzed an outpatient population (65.6%) for an indication of stroke prevention in AF (67.7%) in patients taking warfarin (71.9%) or DOACs (49.0%). Study population size was heterogenous, ranging from a study size of 24 patients to over 1.3 million patients (median 5,238 patients) in the 69 studies that reported population size by racial group. When stratified by size, 60.9% of the articles in the scoping review (42 articles) represented < 10,000 patients (Table  2 ).

Number of Articles by Publication Year. *2022 excluded from this figure since the search period did not capture the entire year

Study characteristics-by ethnoracial group

There were 50 studies (52.1%) where race or ethnicity was either mentioned in the title or objective of the article, with 24 of these published over the 7-year period 2011–2018 and 26 published over the 3-year period 2019 to first quarter 2022. The method for reporting race or ethnicity was unclear or unspecified in most studies (77.1%) and 16 articles (16.7%) utilized self-reporting of race or ethnicity. Most studies analyzed White or Caucasian racial groups (94.8%), followed by Black or African-American (80.2%), and many studies grouped all other racial groups into an “Other” category (41.7%) (Fig.  3 ).

Number of Articles by Ethnoracial Groups. *For study inclusion, a study had to compare outcomes for least two distinct ethnoracial groups 

White patients accounted for a median 77% of study populations, Black patients 9.5%, Hispanic/Latino patients 6.2%, “Other” racial groups 5.3%, and Asian patients 2.5%.

Study outcomes-overall

Of the 4 research questions, most studies included in this review analyzed patients’ access to guideline-based anticoagulation therapy (88/96 articles, 91.7%), clinical outcomes (42/96 articles, 43.8%), or quality of anticoagulation management (24/96 articles, 25.0%), while very few addressed humanistic or educational outcomes (5/96 articles, 5.2%) (Fig.  4 ). Many studies addressed multiple outcomes within the single study.

Number of Articles Mapped by Research Question

Seventy-eight of the 96 included studies provided statistical comparisons between ethnoracial groups, and these data are presented below.

Outcomes for research question 1: Do ethnoracial differences exist in access to guideline-based anticoagulation therapy?

Anticoagulation for a guideline-based indication.

This question focused on patients who had an indication for anticoagulation actually receiving an anticoagulant, specifically AF and VTE prophylaxis (based on risk stratification) and acute VTE. The majority of the AF studies (25/34 studies) demonstrated White patients receiving anticoagulation at significantly higher rates compared to non-White patients [ 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 ], while the six VTE studies largely demonstrated no difference among ethnoracial groups [ 61 , 62 , 63 , 64 , 65 , 66 ].

DOACs as first-line therapy for AF or VTE

Eighteen individual studies statistically assessed the outcome of DOAC as first-line therapy (compared to warfarin) for AF (15 studies), VTE treatment (2 studies), or both indications (1 study). Twelve of the 15 AF studies showed a significantly higher proportion of White patients received DOACs as first-line therapy compared to non-White patients [ 36 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 54 , 55 , 67 , 68 ]. Of those 12, 9 specifically compared White patients to Black patients. Both VTE treatment studies and the study that assessed both AF and VTE indications showed significantly higher DOAC prescribing rates for White patients compared to Black patients [ 69 , 70 , 71 ].

Anticoagulant therapy adherence/persistence

The eight studies that addressed anticoagulation therapy adherence/persistence showed variability in outcome directionality by ethnoracial group: 5 no difference [ 41 , 72 , 73 , 74 , 75 ], 2 showed better treatment adherence/persistence for White patients compared to Black patients[ 76 ] or non-White patients [ 77 ], and one showed better treatment adherence/persistence for White patients compared to Hispanic patients, but no difference in White versus Black patients [ 78 ].

Figure  5 summarizes the outcome directionality for Research Question 1 regarding access to guideline-based anticoagulation therapy. Overall, the areas of disparity identified included anticoagulation for atrial fibrillation and preferential use of DOAC therapy for AF and VTE treatment.

Outcome Directionality for the 4 Research Questions and their Subcategories. AC = anticoagulant; AMS = anticoagulation management service; INR = international normalized ratio; PST = patient self-testing; PSM = patient self-management

Research question 2: Do ethnoracial differences exist in the quality of anticoagulation therapy management?

A total of 21 studies assessed quality of anticoagulation therapy management: Warfarin time in therapeutic range (TTR)/INR (International Normalized Ratio) control 12 studies, appropriate anticoagulant dosing 3 studies, enrollment in an anticoagulation management service 5 studies, and PST/PSM one study.

In statistical comparisons of INR control in warfarin patients, all 12 studies (7 assessed mean or median TTR, 5 assessed other measures of INR control such as days spent above/below range, gaps in INR monitoring) showed White patients had favorable INR control compared to non-White patients (most comparisons included Black patients) [ 41 , 75 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 ]. Enrollment in an anticoagulation management service was statistically compared among ethnoracial groups in 5 studies, and this opportunity favored White patients compared to other racial groups in four of the five [ 41 , 82 , 86 , 88 ]. Two of the three studies that statistically analyzed appropriate anticoagulant dosing showed a higher rate of appropriate DOAC dosing in White patients compared to non-White patients [ 41 , 89 ], and the third showed no difference among ethnoracial groups for enoxaparin dosing in the emergency department [ 90 ]. The one study assessing access to PST/PSM showed that more White patients used PST compared to Black or Hispanic patients[ 91 ] (Fig.  5 ).

Research question 3: Do ethnoracial differences exist in the clinical outcomes related to anticoagulation care?

Articles assessing clinical outcomes among ethnoracial groups primarily assessed bleeding (15 articles) or thrombosis (9 articles) outcomes, and 8 articles assessing anticoagulation related hospitalization or mortality. One article addressed a net clinical outcome including major bleeding, stroke or systemic embolism, and death from any cause. This was included in the bleeding outcomes category so that it was not double-counted in the other two outcome categories. Additional details about the 24 unique studies that statistically assessed clinical outcomes including the study design, population size, ethnoracial groups studied, anticoagulants used, and statistical outcomes measured can be found in Supplementary Tables 1 and 2 .

Sixteen studies statistically assessed bleeding outcomes of varying definitions (major bleeding 13 studies, clinically relevant non-major bleeding 3 studies, any bleeding 3 studies, bleeding otherwise defined 3 studies). Six studies demonstrated no difference in bleeding outcomes by ethnoracial group [ 55 , 92 , 93 , 94 , 95 , 96 ]9 reported that White patients had lower rates of bleeding compared to Black or Asian patients,[ 53 , 80 , 83 , 85 , 97 , 98 , 99 , 100 , 101 ]. In the remaining study, Asian patients had a more favorable net clinical outcome compared to non-Asian patients [ 102 ].

Nine studies statistically assessed thrombosis outcomes among ethnoracial groups, including stroke/systemic embolism (5 studies), recurrent VTE (3 studies), or any thrombosis (1 study). The stroke outcomes by racial group were heterogeneous, with 3 studies showing better outcomes for White patients compared to Black patients[ 103 , 104 , 105 ] and two studies showing no difference in outcomes when White patients were compared to Non-White patients [ 55 , 95 ]. In three of the four VTE studies there were no differences in outcomes by ethnoracial group [ 61 , 93 , 96 ], and in one study White patients had more favorable outcomes compared to Black patients [ 106 ].

Nine studies assessed anticoagulation-related hospitalizations or mortality by ethnoracial group. Outcomes were mixed, as four studies showed no difference in hospitalizations or mortality among ethnoracial groups,[ 89 , 95 , 96 , 107 ], three studies showed White patients had a lower rate of hospitalizations[ 85 , 105 ] or mortality[ 104 , 105 ] Another study showed lower rate of mortality or hospice after intracranial hemorrhage in Black and Other race patients [ 108 ].(Fig.  5 ).

Research question 4: Do ethnoracial differences exist in the humanistic/educational outcomes related to anticoagulation therapy?

The five studies reporting this category of outcomes were heterogeneous. Of the two studies assessing anticoagulation knowledge, one showed no difference by ethnoracial group [ 109 ], and the other favored the non-White group in appropriately estimating bleeding risk [ 110 ]. One study assessed an atrial fibrillation quality of life score at 2-year follow-up after AF diagnosis and found the outcomes favored White patients [ 79 ]. Another study assessed satisfaction with VTE care and found no difference among ethnoracial groups [ 111 ]. A third study found no difference in the percentage of racial groups having a cost conversation when initiating DOAC therapy (78% Whites, 72.2% non-Whites)[ 112 ] (Fig.  5 ).

Overall outcome directionality for all four research questions is shown in Fig.  6 . A total of 79 articles demonstrated favorable outcomes for White patients compared to non-White patients, 38 articles showed no difference between White and non-White groups, and 8 articles had outcomes favoring non-White groups (the total exceeds the 78 articles with statistical outcomes as many articles reported multiple outcomes). The biggest areas of disparity between White and non-White groups are access to guideline-based anticoagulation therapy and quality of anticoagulation therapy management. Clinical outcomes relating to anticoagulation care had the least difference among ethnoracial groups. Relatively few studies assessed potential ethnoracial disparities in humanistic and educational outcomes.

Outcome Directionality for All 4 Research Questions

This scoping review assessing ethnoracial differences in the quality of anticoagulation care and its delivery to patients in the United States encompassed eleven full years of literature and resulted in the inclusion of 96 studies, 78 of which contained statistical outcomes comparisons among ethnoracial groups. The most common reason for study exclusion was that outcomes were not reported for at least two distinct ethnoracial groups. We observed that beginning in 2019 and following the racial unrest of 2020, the density of articles addressing ethnoracial disparities in anticoagulation care more than doubled. During the entire study period, half of studies had race or ethnicity as the focus or objective of the paper, but this was largely driven by articles published after 2019.

Only 16% of included articles documented self-reporting of racial identity, with most of the remainder using an unspecified method for documenting racial identity. It is likely that many studies utilize demographic information extracted from an electronic medical record (EMR), but it is often unclear if that is truly self-reported race. A second element this scoping review identified was that many studies analyzed two or three ethnoracial groups and then categorized all others into a heterogenous “Other” category. For example, frequently studies would categorize patients as White, Black, and “Other.” It is unclear whether those in a racial category labeled as “Other” had an unknown or missing racial identity in the EMR, or intentionally chose not to disclose. It is also likely that study investigators decided to classify ethnoracial groups with lower population sizes into a miscellaneous category. There were few studies (15%) that specifically assessed patients identifying as Native American/Alaska Native, Native Hawaiian/Pacific Islander, and multiracial. While Hispanic/Latino is an ethnicity, most studies categorized it as a separate “race” category. Of the 37 studies that analyzed “Asian” patient populations, none specifically defined “Asian” beyond that. The US Census Bureau defines “Asian” race as a person having origins of the Far East, Southeast Asia, or the Indian subcontinent [ 113 ]. This broad definition encompasses many different ethnicities which could represent variability in health outcomes if better defined and more frequently analyzed. These may be opportunities for EMR systems to improve transparency for how race, ethnicity, and language preference are captured and for those designing research studies to be thoughtful and intentional about analyzing the ethnoracial identities of the study population, perhaps in alignment with the minimum 5 racial categories utilized by the US Census Bureau, the National Institutes of Health, and the Office of Management and Budget (White, Black, American Indian/Alaska Native, Asian, Native Hawaiian/Pacific Islander, with permission for a “some other race” category and the option to select multiple races) [ 113 ]. Since 2017 Clinicaltrials.gov has required the reporting of race/ethnicity if collected, and there is good compliance with this requirement, but less so in publication of the work [ 114 ].

We examined the proportion of ethnoracial groups represented for each of the disease states in the studies included in this scoping review, relative to disease state prevalence and found a discrepancy. For AF, prevalence in White patients was 11.3%, in Black patients 6.6%, and in Hispanic patients 7.8% [ 15 ]. However, the representation in AF studies in this review were 74% White, 13% Black, and 8% Hispanic. Assessing VTE incidence by race is more difficult, as studies have shown regional and time variation, with Black patients typically having a higher incidence compared to other ethnoracial groups [ 16 ]. In this review, however, of the studies assessing VTE treatment or prophylaxis, only 16% of the patient population identified as Black, whereas 70% identified as White. There were only 3 studies that assessed a valvular heart disease population, making ethnoracial group representation difficult to assess.

The majority of studies captured in this review analyzed patients in the outpatient setting, for the anticoagulation indication of stroke prevention in AF, taking either warfarin or DOAC. Few studies involved the acute care setting or injectable anticoagulants, representing an area for future study of potential ethnoracial disparities.

Overall, the majority of studies in this scoping review addressed ethnoracial disparities in patients’ access to guideline-based anticoagulation therapy, clinical outcomes related to anticoagulation care, and quality of anticoagulation management. A research gap identified was more study is needed to assess gaps in educational outcomes such as anticoagulation and disease state knowledge, shared decision-making willingness and capability, and humanistic outcomes such as quality of life or satisfaction with anticoagulation therapy.

In analyzing the first research question regarding ethnoracial differences in access to guideline-based anticoagulation therapy, the majority of studies addressed use of any anticoagulation for stroke prevention in AF in patients above a threshold risk score and the preferential use of DOACs as first-line therapy instead of warfarin for AF. In both categories, patients in a non-White ethnoracial group (particularly Black patients) received recommended therapy less often than patients identified as White. It is unclear why this is the case. It could be on the patient, provider, and/or system level. It is possible that some studies more successfully adjusted for covariates than others. Sites or settings with systematic processes like order sets or clinical decision support systems in place for standard prescribing may be more successful in equitably prescribing indicated therapies. In one large study in the Veterans Affairs population of AF patients, even after adjusting for numerous variables that included clinical, demographic, socioeconomic, prescriber, and geographic site factors, DOAC prescribing remained lower in Asian and Black patients when compared with White patients. The authors in that study postulate that non-White populations may be less receptive to novel therapies due to historical mistrust of the health care system or have reduced access to education about the latest treatments, and they give the example of direct-to-consumer advertising [ 42 ]. It has also previously been demonstrated that prescribing of oral anticoagulation and particularly DOACs is lower in non-White patients [ 41 ]. These are difficult to capture as standard covariates, which is why further study is needed. We examined the publication dates for both access categories to see if perhaps there was a lack of contemporary data skewing the outcomes. However, for both anticoagulation for a guideline-based indication and DOACs as first-line therapy, the majority of articles came from the time period 2019–2021 (24 of 40 articles, and 15 of 18 articles, respectively), well after guideline updates preferentially recommended DOACs [ 34 , 35 ]. Also, there were relatively few studies addressing guideline-based therapy for VTE treatment and prophylaxis, making assessment of disparities difficult. Regarding access, it is well established that race and ethnicity often determine a patient’s socioeconomic status and that low socioeconomic status and its correlates (e.g., reduced education, income, and healthcare access) are associated with poorer health outcomes [ 115 ]. However, at each level of income or education, Black patients experience worse health outcomes than Whites [ 116 ]. So, low socioeconomic status does not fully explain poorer health outcomes for non-White individuals.

After examining access to appropriate and preferred anticoagulation therapy, the second research question of this scoping review examined potential ethnoracial disparities in the quality of anticoagulation therapy management. INR control measures such as time in therapeutic INR range are a surrogate measure of both thrombotic and bleeding outcomes and frequently used as a way to assess quality of warfarin therapy. The studies identified in this review showed clear disparity between White and non-White patient groups (especially Black patients), however all twelve studies comparing TTR among ethnoracial groups were published prior to 2019. This could be due to the decline in warfarin prescribing relative to increases in DOAC prescribing [ 117 , 118 , 119 ], but there remain patient populations that require or choose warfarin, so this marker of anticoagulation control remains relevant and requires continued reassessment. There were relatively few studies assessing other markers of anticoagulation management quality such as anticoagulation management service enrollment, appropriate DOAC dosing, and access to quality improvement strategies like PST or PSM. Few studies assessed educational outcomes, yet this may have relevance to the above anticoagulation care quality question. For those patients who remain on warfarin, dietary Vitamin K consistency is an example of a key educational point that links directly to INR control. It is unclear if there are disparities in this type of education among ethnoracial groups that may have more far-reaching effects.

Of note, clinical outcomes related to anticoagulant therapy seemed to have the fewest areas of disparity, although the number of articles was small. This suggests that if patients have access to high quality anticoagulation therapy, there is a promising sign that optimal clinical outcomes can be achieved for all ethnoracial groups.

There are some limitations of this scoping review that warrant consideration. First, we chose fairly broad inclusion criteria (all anticoagulants, all study types) because a review of this type had never been performed before. This resulted in a relatively large number of included articles for a scoping review. Second, there is likely a high degree of heterogeneity among patient populations and outcomes definitions. However, as this is a scoping review with the goal to present an overview of the literature and not report on composite outcomes, a risk of bias assessment was not performed. Third is our decision to group patients into White and non-White groups for assessment of outcome directionality. In doing so, we may have missed subtle differences in outcomes between various non-White ethnoracial groups. Fourth, in our main search we included all studies that reported outcomes, but due to scope, we only reported outcome directionality for studies that statistically compared outcomes between ethnoracial groups. Finally, due to the large number of studies that required review and analysis, this was a lengthy undertaking and we are certain that additional studies have been published since the closure of our search period.

In line with the 2014 National Action Plan for Adverse Drug Event Prevention’s goal of identifying patient populations at higher risk of adverse drug events, this scoping review highlights several areas where quality of anticoagulation care can be optimized for all patients. Future research opportunities in ethnoracial differences in the quality of anticoagulation care are summarized in Table  3 . While the scoping review focused exclusively on the evaluation of peer-reviewed manuscripts, the heterogeneity of terminology and methodologies identified in the published papers may have implications for national health policy relating to the quality and safety of care (e.g.the Medicare Quality Payment Program) [ 120 ]. To accurately and reliably quantify important disparities in AC-related care and support effective improvement initiatives, attention and effort will need to be invested across the full continuum of quality measure development [ 121 ], measure endorsement [ 122 ], measure selection, and status assignment within value-based payment programs (e.g., required/optional, measure weighting) [ 123 ]. The findings of the scoping review may be of utility to such efforts, and the development and implementation of suitable quality measures will likely be of value to future research efforts in this important therapeutic area.

Conclusions

Treatment guidelines do not recommend differentiating anticoagulant therapy by ethnoracial group, yet this scoping review of the literature demonstrates consistent directionality in favor of White patients over non-White patients in the domains of access to anticoagulation therapy for guideline-based indications, prescription of preferred anticoagulation therapies, and quality of anticoagulation therapy management. These data should serve as a stimulus for an assessment of current services, implementation of quality improvement measures, and inform future research to make anticoagulation care quality more equitable.

Data Availability

Data are available on request from the corresponding author.

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Acknowledgements

The authors wish to acknowledge the following individuals for their work in screening articles for this scoping review: April Allen, PharmD, CACP; Allison Burnett, PharmD, PhC, CACP; Stacy Ellsworth, RN, MSN, CCRC; Danielle Jenkins, MBA, RN, BSN, CRNI; Amanda Katz, MBA; Lea Kistenmacher, Julia Mulheman, PharmD; Surhabi Palkimas, PharmD, MBA; Terri Schnurr, RN, CCRC; Deborah Siegal, MD, MSc, FRCPC; Kimberly Terry, PharmD, BCPS, BCCCP; and Terri Wiggins, MS.

The authors wish to acknowledge the support of the Anticoagulation Forum in the development of this manuscript. The Anticoagulation Forum is a non-profit organization dedicated to improving the quality of care for patients taking antithrombotic medications.

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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All authors contributed to the study conception and design. Material preparation was performed by Sara Vazquez, Naomi Yates, and Mary McFarland. Data collection and analysis were performed by Sara Vazquez, Naomi Yates, Craig Beavers, and Darren Triller. The first draft of the manuscript was written by Sara Vazquez and all authors edited subsequent drafts. All authors read and approved the final manuscript.

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Vazquez, S.R., Yates, N.Y., Beavers, C.J. et al. Differences in quality of anticoagulation care delivery according to ethnoracial group in the United States: A scoping review. J Thromb Thrombolysis (2024). https://doi.org/10.1007/s11239-024-02991-2

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Accepted : 27 April 2024

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DOI : https://doi.org/10.1007/s11239-024-02991-2

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An In-Depth Literature Review of E-Portfolio Implementation in Higher Education: Processes, Barriers, and Strategies

Authors: Hongyan Yang (The University of Tennessee, Knoxville) , Rachel Wong (The University of Tennessee, Knoxville)

Literature Review

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This literature review examines the implementation of e-portfolios in higher education, with a focus on the implementation process, potential barriers, and strategies for overcoming challenges. This review seeks to provide instructional designers and higher education instructors with design strategies to effectively implement e-portfolios. Through an analysis of seventeen studies, we identified six common steps in the implementation process, including identifying a purpose, stakeholders, and platform, conducting workshops, creating e-portfolios, and evaluating the project. The implementation process also raised eight concerns, including concerns related to technology, policy, pedagogy, artifact quality, privacy, student motivation, academic integrity, and teacher workload. To address these concerns, existing strategies suggest that successful implementation requires training and policy support, student-centered pedagogy, criteria for assessing artifacts, privacy and data protection, feedback, anti-plagiarism measures, and shared successful models.

Keywords: literature review, e-Portfolio, implementation, higher education

Accepted on 20 Apr 2024

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Yang, H & Wong, R. () 'An In-Depth Literature Review of E-Portfolio Implementation in Higher Education: Processes, Barriers, and Strategies', Issues and Trends in Learning Technologies . doi: 10.2458/itlt.5809

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Yang, H & Wong, R. An In-Depth Literature Review of E-Portfolio Implementation in Higher Education: Processes, Barriers, and Strategies. Issues and Trends in Learning Technologies. ; doi: 10.2458/itlt.5809

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Yang, H & Wong, R. (, ). An In-Depth Literature Review of E-Portfolio Implementation in Higher Education: Processes, Barriers, and Strategies. Issues and Trends in Learning Technologies doi: 10.2458/itlt.5809

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• Systematic Review
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• Published: 12 May 2024

Association between problematic social networking use and anxiety symptoms: a systematic review and meta-analysis

• Mingxuan Du 1 ,
• Chengjia Zhao 2 ,
• Haiyan Hu 1 ,
• Ningning Ding 1 ,
• Jiankang He 1 ,
• Wenwen Tian 1 ,
• Wenqian Zhao 1 ,
• Xiujian Lin 1 ,
• Gaoyang Liu 1 ,
• Wendan Chen 1 ,
• ShuangLiu Wang 1 ,
• Pengcheng Wang 3 ,
• Dongwu Xu 1 ,
• Xinhua Shen 4 &
• Guohua Zhang 1  

BMC Psychology volume  12 , Article number:  263 ( 2024 ) Cite this article

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A growing number of studies have reported that problematic social networking use (PSNU) is strongly associated with anxiety symptoms. However, due to the presence of multiple anxiety subtypes, existing research findings on the extent of this association vary widely, leading to a lack of consensus. The current meta-analysis aimed to summarize studies exploring the relationship between PSNU levels and anxiety symptoms, including generalized anxiety, social anxiety, attachment anxiety, and fear of missing out. 209 studies with a total of 172 articles were included in the meta-analysis, involving 252,337 participants from 28 countries. The results showed a moderately positive association between PSNU and generalized anxiety (GA), social anxiety (SA), attachment anxiety (AA), and fear of missing out (FoMO) respectively (GA: r  = 0.388, 95% CI [0.362, 0.413]; SA: r  = 0.437, 95% CI [0.395, 0.478]; AA: r  = 0.345, 95% CI [0.286, 0.402]; FoMO: r  = 0.496, 95% CI [0.461, 0.529]), and there were different regulatory factors between PSNU and different anxiety subtypes. This study provides the first comprehensive estimate of the association of PSNU with multiple anxiety subtypes, which vary by time of measurement, region, gender, and measurement tool.

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Introduction

Social network refers to online platforms that allow users to create, share, and exchange information, encompassing text, images, audio, and video [ 1 ]. The use of social network, a term encompassing various activities on these platforms, has been measured from angles such as frequency, duration, intensity, and addictive behavior, all indicative of the extent of social networking usage [ 2 ]. As of April 2023, there are 4.8 billion social network users globally, representing 59.9% of the world’s population [ 3 ]. The usage of social network is considered a normal behavior and a part of everyday life [ 4 , 5 ]. Although social network offers convenience in daily life, excessive use can lead to PSNU [ 6 , 7 ], posing potential threats to mental health, particularly anxiety symptoms (Rasmussen et al., 2020). Empirical research has shown that anxiety symptoms, including generalized anxiety (GA), social anxiety (SA), attachment anxiety (AA), and fear of missing out (FoMO), are closely related to PSNU [ 8 , 9 , 10 , 11 , 12 ]. While some empirical studies have explored the relationship between PSNU and anxiety symptoms, their conclusions are not consistent. Some studies have found a significant positive correlation [ 13 , 14 , 15 ], while others have found no significant correlation [ 16 , 17 , 18 , 19 ]. Furthermore, the degree of correlation varies widely in existing research, with reported r-values ranging from 0.12 to 0.80 [ 20 , 21 ]. Therefore, a systematic meta-analysis is necessary to clarify the impact of PSNU on individual anxiety symptoms.

Previous research lacks a unified concept of PSNU, primarily due to differing theoretical interpretations by various authors, and the use of varied standards and diagnostic tools. Currently, this phenomenon is referred to by several terms, including compulsive social networking use, problematic social networking use, excessive social networking use, social networking dependency, and social networking addiction [ 22 , 23 , 24 , 25 , 26 ]. These conceptual differences hinder the development of a cohesive and systematic research framework, as it remains unclear whether these definitions and tools capture the same underlying construct [ 27 ]. To address this lack of uniformity, this paper will use the term “problematic use” to encompass all the aforementioned nomenclatures (i.e., compulsive, excessive, dependent, and addictive use).

Regarding the relationship between PSNU and anxiety symptoms, two main perspectives exist: the first suggests a positive correlation, while the second proposes a U-shaped relationship. The former perspective, advocating a positive correlation, aligns with the social cognitive theory of mass communication. It posits that PSNU can reinforce certain cognitions, emotions, attitudes, and behaviors [ 28 , 29 ], potentially elevating individuals’ anxiety levels [ 30 ]. Additionally, the cognitive-behavioral model of pathological use, a primary framework for explaining factors related to internet-based addictions, indicates that psychiatric symptoms like depression or anxiety may precede internet addiction, implying that individuals experiencing anxiety may turn to social networking platforms as a coping mechanism [ 31 ]. Empirical research also suggests that highly anxious individuals prefer computer-mediated communication due to the control and social liberation it offers and are more likely to have maladaptive emotional regulation, potentially leading to problematic social network service use [ 32 ]. Turning to the alternate perspective, it proposes a U-shaped relationship as per the digital Goldilocks hypothesis. In this view, moderate social networking usage is considered beneficial for psychosocial adaptation, providing individuals with opportunities for social connection and support. Conversely, both excessive use and abstinence can negatively impact psychosocial adaptation [ 33 ]. In summary, both perspectives offer plausible explanations.

Incorporating findings from previous meta-analyses, we identified seven systematic reviews and two meta-analyses that investigated the association between PSNU and anxiety. The results of these meta-analyses indicated a significant positive correlation between PSNU and anxiety (ranging from 0.33 to 0.38). However, it is evident that these previous meta-analyses had certain limitations. Firstly, they focused only on specific subtypes of anxiety; secondly, they were limited to adolescents and emerging adults in terms of age. In summary, this systematic review aims to ascertain which theoretical perspective more effectively explains the relationship between PSNU and anxiety, addressing the gaps in previous meta-analyses. Additionally, the association between PSNU and anxiety could be moderated by various factors. Drawing from a broad research perspective, any individual study is influenced by researcher-specific designs and associated sample estimates. These may lead to bias compared to the broader population. Considering the selection criteria for moderating variables in empirical studies and meta-analyses [ 34 , 35 ], the heterogeneity of findings on problematic social network usage and anxiety symptoms could be driven by divergence in sample characteristics (e.g., gender, age, region) and research characteristics (measurement instrument of study variables). Since the 2019 coronavirus pandemic, heightened public anxiety may be attributed to the fear of the virus or heightened real life stress. The increased use of electronic devices, particularly smartphones during the pandemic, also instigates the prevalence of problematic social networking. Thus, our analysis focuses on three moderators: sample characteristics (participants’ gender, age, region), measurement tools (for PSNU and anxiety symptoms) and the time of measurement (before COVID-19 vs. during COVID-19).

The present study was conducted in accordance with the 2020 statement on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [ 36 ]. To facilitate transparency and to avoid unnecessary duplication of research, this study was registered on PROSPERO, and the number is CRD42022350902.

Literature search

Studies on the relationship between the PSNU and anxiety symptoms from 2000 to 2023 were retrieved from seven databases. These databases included China National Knowledge Infrastructure (CNKI), Wanfang Data, Chongqing VIP Information Co. Ltd. (VIP), Web of Science, ScienceDirect, PubMed, and PsycARTICLES. The search strings consisted of (a) anxiety symptoms, (b) social network, and (c) Problematic use. As shown in Table  1 , the keywords for anxiety are as follows: anxiety, generalized anxiety, social anxiety, attachment anxiety, fear of missing out, and FoMO. The keywords for social network are as follows: social network, social media, social networking site, Instagram, and Facebook. The keywords for addiction are as follows: addiction, dependence, problem/problematic use, excessive use. The search deadline was March 19, 2023. A total of 2078 studies were initially retrieved and all were identified ultimately.

Inclusion and exclusion criteria

Retrieved studies were eligible for the present meta-analysis if they met the following inclusion criteria: (a) the study provided Pearson correlation coefficients used to measure the relationship between PSNU and anxiety symptoms; (b) the study reported the sample size and the measurement instruments for the variables; (c) the study was written in English and Chinese; (d) the study provided sufficient statistics to calculate the effect sizes; (e) effect sizes were extracted from independent samples. If multiple independent samples were investigated in the same study, they were coded separately; if the study was a longitudinal study, they were coded by the first measurement. In addition, studies were excluded if they: (a) examined non-problematic social network use; (b) had an abnormal sample population; (c) the results of the same sample were included in another study and (d) were case reports or review articles. Two evaluators with master’s degrees independently assessed the eligibility of the articles. A third evaluator with a PhD examined the results and resolved dissenting views.

Data extraction and quality assessment

Two evaluators independently coded the selected articles according to the following characteristics: literature information, time of measurement (before the COVID-19 vs. during the COVID-19), sample source (developed country vs. developing country), sample size, proportion of males, mean age, type of anxiety, and measurement instruments for PSNU and anxiety symptoms. The following principles needed to be adhered to in the coding process: (a) effect sizes were extracted from independent samples. If multiple independent samples were investigated in the same study, they were coded separately; if the study was a longitudinal study, it was coded by the first measurement; (b) if multiple studies used the same data, the one with the most complete information was selected; (c) If studies reported t or F values rather than r , the following formula \( r=\sqrt{\frac{{t}^{2}}{{t}^{2}+df}}\) ; \( r=\sqrt{\frac{F}{F+d{f}_{e}}}\) was used to convert them into r values [ 37 , 38 ]. Additionally, if some studies only reported the correlation matrix between each dimension of PSNU and anxiety symptoms, the following formula \( {r}_{xy}=\frac{\sum {r}_{xi}{r}_{yj}}{\sqrt{n+n(n-1){r}_{xixj}}\sqrt{m+m(m-1){r}_{yiyj}}}\) was used to synthesize the r values [ 39 ], where n or m is the number of dimensions of variable x or variable y, respectively, and \( {r}_{xixj} \) or \( {r}_{yiyj}\) represents the mean of the correlation coefficients between the dimensions of variable x or variable y, respectively.

Literature quality was determined according to the meta-analysis quality evaluation scale developed [ 40 ]. The quality of the post-screening studies was assessed by five dimensions: sampling method, efficiency of sample collection, level of publication, and reliability of PSNU and anxiety symptom measurement instruments. The total score of the scale ranged from 0 to 10; higher scores indicated better quality of the literature.

Data analysis

All data were performed using Comprehensive Meta Analysis 3.3 (CMA 3.3). Pearson’s product-moment coefficient r was selected as the effect size index in this meta-analysis. Firstly, \( {\text{F}\text{i}\text{s}\text{h}\text{e}\text{r}}^{{\prime }}\text{s} Z=\frac{1}{2}\times \text{ln}\left(\frac{1+r}{1-r}\right)\) was used to convert the correlation coefficient to Fisher Z . Then the formula \( SE=\sqrt{\frac{1}{n-3}}\) was used to calculate the standard error ( SE ). Finally, the summary of r was obtained from the formula \( r=\frac{{e}^{2z}-1}{{e}^{2z}+1}\) for a comprehensive measure of the relationship between PSNU and anxiety symptoms [ 37 , 41 ].

Although the effect sizes estimated by the included studies may be similar, considering the actual differences between studies (e.g., region and gender), the random effects model was a better choice for data analysis for the current meta-analysis. The heterogeneity of the included study effect sizes was measured for significance by Cochran’s Q test and estimated quantitatively by the I 2 statistic [ 42 ]. If the results indicate there is a significant heterogeneity (the Q test: p -value < 0.05, I 2  > 75) and the results of different studies are significantly different from the overall effect size. Conversely, it indicates there are no differences between the studies and the overall effect size. And significant heterogeneity tends to indicate the possible presence of potential moderating variables. Subgroup analysis and meta-regression analysis were used to examine the moderating effect of categorical and continuous variables, respectively.

Funnel plots, fail-safe number (Nfs) and Egger linear regression were utilized to evaluate the publication bias [ 43 , 44 , 45 ]. The likelihood of publication bias was considered low if the intercept obtained from Egger linear regression was not significant. A larger Nfs indicated a lower risk of publication bias, and if Nfs < 5k + 10 (k representing the original number of studies), publication bias should be a concern [ 46 ]. When Egger’s linear regression was significant, the Duval and Tweedie’s trim-and-fill was performed to correct the effect size. If there was no significant change in the effect size, it was assumed that there was no serious publication bias [ 47 ].

A significance level of P  < 0.05 was deemed applicable in this study.

Sample characteristics

The PRISMA search process is depicted in Fig.  1 . The database search yielded 2078 records. After removing duplicate records and screening the title and abstract, the full text was subject to further evaluation. Ultimately, 172 records fit the inclusion criteria, including 209 independent effect sizes. The present meta-analysis included 68 studies on generalized anxiety, 44 on social anxiety, 22 on attachment anxiety, and 75 on fear of missing out. The characteristics of the selected studies are summarized in Table  2 . The majority of the sample group were adults. Quality scores for selected studies ranged from 0 to 10, with only 34 effect sizes below the theoretical mean, indicating high quality for the included studies. The literature included utilized BSMAS as the primary tool to measure PSNU, DASS-21-A to measure GA, IAS to measure SA, ECR to measure AA, and FoMOS to measure FoMO.

Flow chart of the search and selection strategy

Overall analysis, homogeneity tests and publication bias

As shown in Table  3 , there was significant heterogeneity between PSNU and all four anxiety symptoms (GA: Q  = 1623.090, I 2  = 95.872%; SA: Q  = 1396.828, I 2  = 96.922%; AA: Q  = 264.899, I 2  = 92.072%; FoMO: Q  = 1847.110, I 2  = 95.994%), so a random effects model was chosen. The results of the random effects model indicate a moderate positive correlation between PSNU and anxiety symptoms (GA: r  = 0.350, 95% CI [0.323, 0.378]; SA: r  = 0.390, 95% CI [0.347, 0.431]; AA: r  = 0.345, 95% CI [0.286, 0.402]; FoMO: r  = 0.496, 95% CI [0.461, 0.529]).

Figure  2 shows the funnel plot of the relationship between PSNU and anxiety symptoms. No significant symmetry was seen in the funnel plot of the relationship between PSNU and GA and between PSNU and SA. And the Egger’s regression results also indicated that there might be publication bias ( t  = 3.775, p  < 0.001; t  = 2.309, p  < 0.05). Therefore, it was necessary to use fail-safe number (Nfs) and the trim and fill method for further examination and correction. The Nfs for PSNU and GA as well as PSNU and SA are 4591 and 7568, respectively. Both Nfs were much larger than the standard 5 k  + 10. After performing the trim and fill method, 14 effect sizes were added to the right side of the funnel plat (Fig.  2 .a), the correlation coefficient between PSNU and GA changed to ( r  = 0.388, 95% CI [0.362, 0.413]); 10 effect sizes were added to the right side of the funnel plat (Fig.  2 .b), the correlation coefficient between PSNU and SA changed to ( r  = 0.437, 95% CI [0.395, 0.478]). The correlation coefficients did not change significantly, indicating that there was no significant publication bias associated with the relationship between PSNU and these two anxiety symptoms (GA and SA).

Funnel plot of the relationship between PSNU and anxiety symptoms. Note: Black dots indicated additional studies after using trim and fill method; ( a ) = Funnel plot of the PSNU and GA; ( b ) = Funnel plot of the PSNU and SA; ( c ) = Funnel plot of the PSNU and AA; ( d ) = Funnel plot of the PSNU and FoMO

Sensitivity analyses

Initially, the findings obtained through the one-study-removed approach indicated that the heterogeneities in the relationship between PSNU and anxiety symptoms were not attributed to any individual study. Nevertheless, it is important to note that sensitivity analysis should be performed based on literature quality [ 223 ] since low-quality literature could potentially impact result stability. In the relationship between PSNU and GA, the 10 effect sizes below the theoretical mean scores were excluded from analysis, and the sensitivity analysis results were recalculated ( r  = 0.402, 95% CI [0.375, 0.428]); In the relationship between PSNU and SA, the 8 effect sizes below the theoretical mean scores were excluded from analysis, and the sensitivity analysis results were recalculated ( r  = 0.431, 95% CI [0.387, 0.472]); In the relationship between PSNU and AA, the 5 effect sizes below the theoretical mean scores were excluded from analysis, and the sensitivity analysis results were recalculated ( r  = 0.367, 95% CI [0.298, 0.433]); In the relationship between PSNU and FoMO, the 11 effect sizes below the theoretical mean scores were excluded from analysis, and the sensitivity analysis results were recalculated ( r  = 0.508, 95% CI [0.470, 0.544]). The revised estimates indicate that meta-analysis results were stable.

Moderator analysis

The impact of moderator variables on the relation between psnu and ga.

The results of subgroup analysis and meta-regression are shown in Table  4 , the time of measurement significantly moderated the correlation between PSNU and GA ( Q between = 19.268, df  = 2, p  < 0.001). The relation between the two variables was significantly higher during the COVID-19 ( r  = 0.392, 95% CI [0.357, 0.425]) than before the COVID-19 ( r  = 0.270, 95% CI [0.227, 0.313]) or measurement time uncertain ( r  = 0.352, 95% CI [0.285, 0.415]).

The moderating effect of the PSNU measurement was significant ( Q between = 6.852, df  = 1, p  = 0.009). The relation was significantly higher when PSNU was measured with the BSMAS ( r  = 0.373, 95% CI [0.341, 0.404]) compared to others ( r  = 0.301, 95% CI [0.256, 0.344]).

The moderating effect of the GA measurement was significant ( Q between = 60.061, df  = 5, p  < 0.001). Specifically, when GA measured by the GAD ( r  = 0.398, 95% CI [0.356, 0.438]) and the DASS-21-A ( r  = 0.433, 95% CI [0.389, 0.475]), a moderate positive correlation was observed. However, the correlation was less significant when measured using the STAI ( r  = 0.232, 95% CI [0.187, 0.276]).

For the relation between PSNU and GA, the moderating effect of region, gender and age were not significant.

The impact of moderator variables on the relation between PSNU and SA

The effects of the moderating variables in the relation between PSNU and SA were shown in Table  5 . The results revealed a gender-moderated variances between the two variables (b = 0.601, 95% CI [ 0.041, 1.161], Q model (1, k = 41) = 4.705, p  = 0.036).

For the relation between PSNU and SA, the moderating effects of time of measurement, region, measurement of PSNU and SA, and age were not significant.

The impact of moderator variables on the relation between PSNU and AA

The effects of the moderating variables in the relation between PSNU and AA were shown in Table  6 , region significantly moderated the correlation between PSNU and AA ( Q between = 6.410, df  = 2, p  = 0.041). The correlation between the two variables was significantly higher in developing country ( r  = 0.378, 95% CI [0.304, 0.448]) than in developed country ( r  = 0.242, 95% CI [0.162, 0.319]).

The moderating effect of the PSNU measurement was significant ( Q between = 6.852, df  = 1, p  = 0.009). Specifically, when AA was measured by the GPIUS-2 ( r  = 0.484, 95% CI [0.200, 0.692]) and the PMSMUAQ ( r  = 0.443, 95% CI [0.381, 0.501]), a moderate positive correlation was observed. However, the correlation was less significant when measured using the BSMAS ( r  = 0.248, 95% CI [0.161, 0.331]) and others ( r  = 0.313, 95% CI [0.250, 0.372]).

The moderating effect of the AA measurement was significant ( Q between = 17.283, df  = 2, p  < 0.001). The correlation was significantly higher when measured using the ECR ( r  = 0.386, 95% CI [0.338, 0.432]) compared to the RQ ( r  = 0.200, 95% CI [0.123, 0.275]).

For the relation between PSNU and AA, the moderating effects of time of measurement, region, gender, and age were not significant.

The impact of moderator variables on the relation between PSNU and FoMO

The effects of the moderating variables in the relation between PSNU and FoMO were shown in Table  7 , the moderating effect of the PSNU measurement was significant ( Q between = 8.170, df  = 2, p  = 0.017). Among the sub-dimensions, the others was excluded because there was only one sample. Specifically, when measured using the FoMOS-MSME ( r  = 0.630, 95% CI [0.513, 0.725]), a moderate positive correlation was observed. However, the correlation was less significant when measured using the FoMOS ( r  = 0.472, 95% CI [0.432, 0.509]) and the T-S FoMOS ( r  = 0.557, 95% CI [0.463, 0.639]).

For the relationship between PSNU and FoMO, the moderating effects of time of measurement, region, measurement of PSNU, gender and age were not significant.

Through systematic review and meta-analysis, this study established a positive correlation between PSNU and anxiety symptoms (i.e., generalized anxiety, social anxiety, attachment anxiety, and fear of missing out), confirming a linear relationship and partially supporting the Social Cognitive Theory of Mass Communication [ 28 ] and the Cognitive Behavioral Model of Pathological Use [ 31 ]. Specifically, a significant positive correlation between PSNU and GA was observed, implying that GA sufferers might resort to social network for validation or as an escape from reality, potentially alleviating their anxiety. Similarly, the meta-analysis demonstrated a strong positive correlation between PSNU and SA, suggesting a preference for computer-mediated communication among those with high social anxiety due to perceived control and liberation offered by social network. This preference is often accompanied by maladaptive emotional regulation, predisposing them to problematic use. In AA, a robust positive correlation was found with PSNU, indicating a higher propensity for such use among individuals with attachment anxiety. Notably, the study identified the strongest correlation in the context of FoMO. FoMO’s significant association with PSNU is multifaceted, stemming from the real-time nature of social networks that engenders a continuous concern about missing crucial updates or events. This drives frequent engagement with social network, thereby establishing a direct link to problematic usage patterns. Additionally, social network’s feedback loops amplify this effect, intensifying FoMO. The culture of social comparison on these platforms further exacerbates FoMO, as users frequently compare their lives with others’ selectively curated portrayals, enhancing both their social networking usage frequency and the pursuit for social validation. Furthermore, the integral role of social network in modern life broadens FoMO’s scope, encompassing anxieties about staying informed and connected.

The notable correlation between FoMO and PSNU can be comprehensively understood through various perspectives. FoMO is inherently linked to the real-time nature of social networks, which cultivates an ongoing concern about missing significant updates or events in one’s social circle [ 221 ]. This anxiety prompts frequent engagement with social network, leading to patterns of problematic use. Moreover, the feedback loops in social network algorithms, designed to enhance user engagement, further intensify this fear [ 224 ]. Additionally, social comparison, a common phenomenon on these platforms, exacerbates FoMO as users continuously compare their lives with the idealized representations of others, amplifying feelings of missing out on key social experiences [ 225 ]. This behavior not only increases social networking usage but also is closely linked to the quest for social validation and identity construction on these platforms. The extensive role of social network in modern life further amplifies FoMO, as these platforms are crucial for information exchange and maintaining social ties. FoMO thus encompasses more than social concerns, extending to anxieties about staying informed with trends and dynamics within social networks [ 226 ]. The multifaceted nature of FoMO in relation to social network underscores its pronounced correlation with problematic social networking usage. In essence, the combination of social network’s intrinsic characteristics, psychological drivers of user behavior, the culture of social comparison, and the pervasiveness of social network in everyday life collectively make FoMO the most pronouncedly correlated anxiety type with PSNU.

Additionally, we conducted subgroup analyses on the timing of measurement (before COVID-19 vs. during COVID-19), measurement tools (for PSNU and anxiety symptoms), sample characteristics (participants’ region), and performed a meta-regression analysis on gender and age in the context of PSNU and anxiety symptoms. It was found that the timing of measurement, tools used for assessing PSNU and anxiety, region, and gender had a moderating effect, whereas age did not show a significant moderating impact.

Firstly, the relationship between PSNU and anxiety symptoms was significantly higher during the COVID-19 period than before, especially between PSNU and GA. However, the moderating effect of measurement timing was not significant in the relationship between PSNU and other types of anxiety. This could be attributed to the increased uncertainty and stress during the pandemic, leading to heightened levels of general anxiety [ 227 ]. The overuse of social network for information seeking and anxiety alleviation might have paradoxically exacerbated anxiety symptoms, particularly among individuals with broad future-related worries [ 228 ]. While the COVID-19 pandemic altered the relationship between PSNU and GA, its impact on other types of anxiety (such as SA and AA) may not have been significant, likely due to these anxiety types being more influenced by other factors like social skills and attachment styles, which were minimally impacted by the epidemic.

Secondly, the observed variance in the relationship between PSNU and AA across different economic contexts, notably between developing and developed countries, underscores the multifaceted influence of socio-economic, cultural, and technological factors on this dynamic. The amplified connection in developing countries may be attributed to greater socio-economic challenges, distinct cultural norms regarding social support and interaction, rising social network penetration, especially among younger demographics, and technological disparities influencing accessibility and user experience [ 229 , 230 ]. Moreover, the role of social network as a coping mechanism for emotional distress, potentially fostering insecure attachment patterns, is more pronounced in these settings [ 231 ]. These findings highlight the necessity of considering contextual variations in assessing the psychological impacts of social network, advocating for a nuanced understanding of how socio-economic and cultural backgrounds mediate the relationship between PSNU and mental health outcomes [ 232 ]. Additionally, the relationship between PSNU and other types of anxiety (such as GA and SA) presents uniform characteristics across different economic contexts.

Thirdly, the significant moderating effects of measurement tools in the context of PSNU and its correlation with various forms of anxiety, including GA, and AA, are crucial in interpreting the research findings. Specifically, the study reveals that the Bergen Social Media Addiction Scale (BSMAS) demonstrates a stronger correlation between PSNU and GA, compared to other tools. Similarly, for AA, the Griffiths’ Problematic Internet Use Scale 2 (GPIUS2) and the Problematic Media Social Media Use Assessment Questionnaire (PMSMUAQ) show a more pronounced correlation with AA than the BSMAS or other instruments, but for SA and FoMO, the PSNU instrument doesn’t significantly moderate the correlation. The PSNU measurement tool typically contains an emotional change dimension. SA and FoMO, due to their specific conditional stimuli triggers and correlation with social networks [ 233 , 234 ], are likely to yield more consistent scores in this dimension, while GA and AA may be less reliable due to their lesser sensitivity to specific conditional stimuli. Consequently, the adjustment effects of PSNU measurements vary across anxiety symptoms. Regarding the measurement tools for anxiety, different scales exhibit varying degrees of sensitivity in detecting the relationship with PSNU. The Generalized Anxiety Disorder Scale (GAD) and the Depression Anxiety Stress Scales 21 (DASS-21) are more effective in illustrating a strong relationship between GA and PSNU than the State-Trait Anxiety Inventory (STAI). In the case of AA, the Experiences in Close Relationships-21 (ECR-21) provides a more substantial correlation than the Relationship Questionnaire (RQ). Furthermore, for FoMO, the Fear of Missing Out Scale - Multi-Social Media Environment (FoMOS-MSME) is more indicative of a strong relationship with PSNU compared to the standard FoMOS or the T-S FoMOS. These findings underscore the importance of the selection of appropriate measurement tools in research. Different tools, due to their unique design, focus, and sensitivity, can reveal varying degrees of correlation between PSNU and anxiety disorders. This highlights the need for careful consideration of tool characteristics and their potential impact on research outcomes. It also cautions against drawing direct comparisons between studies without acknowledging the possible variances introduced by the use of different measurement instruments.

Fourthly, the significant moderating role of gender in the relationship between PSNU and SA, particularly pronounced in samples with a higher proportion of females. Women tend to engage more actively and emotionally with social network, potentially leading to an increased dependency on these platforms when confronting social anxiety [ 235 ]. This intensified use might amplify the association between PSNU and SA. Societal and cultural pressures, especially those related to appearance and social status, are known to disproportionately affect women, possibly exacerbating their experience of social anxiety and prompting a greater reliance on social network for validation and support [ 236 ]. Furthermore, women’s propensity to seek emotional support and express themselves on social network platforms [ 237 ] could strengthen this link, particularly in the context of managing social anxiety. Consequently, the observed gender differences in the relationship between PSNU and SA underscore the importance of considering gender-specific dynamics and cultural influences in psychological research related to social network use. In addition, gender consistency was observed in the association between PSNU and other types of anxiety, indicating no significant gender disparities.

Fifthly, the absence of a significant moderating effect of age on the relationship between PSNU and various forms of anxiety suggests a pervasive influence of social network across different age groups. This finding indicates that the impact of PSNU on anxiety is relatively consistent, irrespective of age, highlighting the universal nature of social network’s psychological implications [ 238 ]. Furthermore, this uniformity suggests that other factors, such as individual psychological traits or socio-cultural influences, might play a more crucial role in the development of anxiety related to social networking usage than age [ 239 ]. The non-significant role of age also points towards a potential generational overlap in social networking usage patterns and their psychological effects, challenging the notion that younger individuals are uniquely susceptible to the adverse effects of social network on mental health [ 240 ]. Therefore, this insight necessitates a broader perspective in understanding the dynamics of social network and mental health, one that transcends age-based assumptions.

Limitations

There are some limitations in this research. First, most of the studies were cross-sectional surveys, resulting in difficulties in inferring causality of variables, longitudinal study data will be needed to evaluate causal interactions in the future. Second, considerable heterogeneity was found in the estimated results, although heterogeneity can be partially explained by differences in study design (e.g., Time of measurement, region, gender, and measurement tools), but this can introduce some uncertainty in the aggregation and generalization of the estimated results. Third, most studies were based on Asian samples, which limits the generality of the results. Fourth, to minimize potential sources of heterogeneity, some less frequently used measurement tools were not included in the classification of measurement tools, which may have some impact on the results of heterogeneity interpretation. Finally, since most of the included studies used self-reported scales, it is possible to get results that deviate from the actual situation to some extent.

This meta-analysis aims to quantifies the correlations between PSNU and four specific types of anxiety symptoms (i.e., generalized anxiety, social anxiety, attachment anxiety, and fear of missing out). The results revealed a significant moderate positive association between PSNU and each of these anxiety symptoms. Furthermore, Subgroup analysis and meta-regression analysis indicated that gender, region, time of measurement, and instrument of measurement significantly influenced the relationship between PSNU and specific anxiety symptoms. Specifically, the measurement time and GA measurement tools significantly influenced the relationship between PSNU and GA. Gender significantly influenced the relationship between PSNU and SA. Region, PSNU measurement tools, and AA measurement tools all significantly influenced the relationship between PSNU and AA. The FoMO measurement tool significantly influenced the relationship between PSNU and FoMO. Regarding these findings, prevention interventions for PSNU and anxiety symptoms are important.

Data availability

The datasets are available from the corresponding author on reasonable request.

Abbreviations

• Problematic social networking use
• Generalized anxiety
• Social anxiety
• Attachment anxiety

Fear of miss out

Bergen Social Media Addiction Scale

Facebook Addiction Scale

Facebook Intrusion Questionnaire

Generalized Problematic Internet Use Scale 2

Problematic Mobile Social Media Usage Assessment Questionnaire

Social Network Addiction Tendency Scale

Brief Symptom Inventory

The anxiety subscale of the Depression Anxiety Stress Scales

Generalized Anxiety Disorder

The anxiety subscale of the Hospital Anxiety and Depression Scale

State-Trait Anxiety Inventory

Interaction Anxiousness Scale

Liebowitz Social Anxiety Scale

Social Anxiety Scale for Social Media Users

Social Anxiety for Adolescents

Social Anxiety Subscale of the Self-Consciousness Scale

Social Interaction Anxiety Scale

Experiences in Close Relationship Scale

Relationship questionnaire

Fear of Missing Out Scale

FoMO Measurement Scale in the Mobile Social Media Environment

Trait-State Fear of missing Out Scale

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This research was supported by the Social Science Foundation of China (Grant Number: 23BSH135).

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Mingxuan Du, Haiyan Hu, Ningning Ding, Jiankang He, Wenwen Tian, Wenqian Zhao, Xiujian Lin, Gaoyang Liu, Wendan Chen, ShuangLiu Wang, Dongwu Xu & Guohua Zhang

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Du, M., Zhao, C., Hu, H. et al. Association between problematic social networking use and anxiety symptoms: a systematic review and meta-analysis. BMC Psychol 12 , 263 (2024). https://doi.org/10.1186/s40359-024-01705-w

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An Appraisal

Alice Munro, a Literary Alchemist Who Made Great Fiction From Humble Lives

The Nobel Prize-winning author specialized in exacting short stories that were novelistic in scope, spanning decades with intimacy and precision.

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By Gregory Cowles

Gregory Cowles is a senior editor at the Book Review.

The first story in her first book evoked her father’s life. The last story in her last book evoked her mother’s death. In between, across 14 collections and more than 40 years, Alice Munro showed us in one dazzling short story after another that the humble facts of a single person’s experience, subjected to the alchemy of language and imagination and psychological insight, could provide the raw material for great literature.

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And not just any person, but a girl from the sticks. It mattered that Munro, who died on Monday night at the age of 92, hailed from rural southwestern Ontario, since so many of her stories, set in small towns on or around Lake Huron, were marked by the ambitions of a bright girl eager to leave, upon whom nothing is lost. There was the narrator of “Boys and Girls,” who tells herself bedtime stories about a world “that presented opportunities for courage, boldness and self-sacrifice, as mine never did.” There was Rose, from “The Beggar Maid,” who wins a college scholarship and leaves her working-class family behind. And there was Del Jordan, from “Lives of Girls and Women” — Munro’s second book, and the closest thing she ever wrote to a novel — who casts a jaundiced eye on her town’s provincial customs as she takes the first fateful steps toward becoming a writer.

Does it seem reductive or limiting to derive a kind of artist’s statement from the title of that early book? It shouldn’t. Munro was hardly a doctrinaire feminist, but with implacable authority and command she demonstrated throughout her career that the lives of girls and women were as rich, as tumultuous, as dramatic and as important as the lives of men and boys. Her plots were rife with incident: the threatened suicide in the barn, the actual murder at the lake, the ambivalent sexual encounter, the power dynamics of desire. For a writer whose book titles gestured repeatedly at love (“The Progress of Love,” “The Love of a Good Woman,” “Hateship, Friendship, Courtship, Loveship, Marriage”), her narratives recoiled from sentimentality. Tucked into the stately columns of The New Yorker, where she was a steady presence for decades, they were far likelier to depict the disruptions and snowballing consequences of petty grudges, careless cruelties and base impulses: the gossip that mattered.

Munro’s stories traveled not as the crow flies but as the mind does. You got the feeling that, if the GPS ever offered her a shorter route, she would decline. Capable of dizzying swerves in a line or a line break, her stories often spanned decades with intimacy and sweep; that’s partly what critics meant when they wrote of the novelistic scope she brought to short fiction.

Her sentences rarely strutted or flaunted or declared themselves; but they also never clanked or stumbled — she was an exacting and precise stylist rather than a showy one, who wrote with steely control and applied her ambitions not to language but to theme and structure. (This was a conscious choice on her part: “In my earlier days I was prone to a lot of flowery prose,” she told an interviewer when she won the Nobel Prize in 2013. “I gradually learned to take a lot of that out.”) In the middle of her career her stories started to grow roomier and more contemplative, even essayistic; they could feel aimless until you approached the final pages and recognized with a jolt that they had in fact been constructed all along as intricately and deviously as a Sudoku puzzle, every piece falling neatly into place.

There was a signature Munro tone: skeptical, ruminative, given to a crucial and artful ambiguity that could feel particularly Midwestern. Consider “The Bear Came Over the Mountain,” which — thanks in part to Sarah Polley’s Oscar-nominated film adaptation, “ Away From Her ” (2006) — may be Munro’s most famous story; it details a woman’s descent into senility and her philandering husband’s attempt to come to terms with her attachment to a male resident at her nursing home. Here the husband is on a visit, confronting the limits of his knowledge and the need to make peace with uncertainty, in a characteristically Munrovian passage:

She treated him with a distracted, social sort of kindness that was successful in holding him back from the most obvious, the most necessary question. He could not demand of her whether she did or did not remember him as her husband of nearly 50 years. He got the impression that she would be embarrassed by such a question — embarrassed not for herself but for him. She would have laughed in a fluttery way and mortified him with her politeness and bewilderment, and somehow she would have ended up not saying either yes or no. Or she would have said either one in a way that gave not the least satisfaction.

Like her contemporary Philip Roth — another realist who was comfortable blurring lines — Munro devised multilayered plots that were explicitly autobiographical and at the same time determined to deflect or undermine that impulse. This tension dovetailed happily with her frequent themes of the unreliability of memory and the gap between art and life. Her stories tracked the details of her lived experience both faithfully and cannily, cagily, so that any attempt at a dispassionate biography (notably, Robert Thacker’s scholarly and substantial “Alice Munro: Writing Her Lives,” from 2005) felt at once invasive and redundant. She had been in front of us all along.

Until, suddenly, she wasn’t. That she went silent after her book “Dear Life” was published in 2012, a year before she won the Nobel, makes her passing now seem all the more startling — a second death, in a way that calls to mind her habit of circling back to recognizable moments and images in her work. At least three times she revisited the death of her mother in fiction, first in “The Peace of Utrecht,” then in “Friend of My Youth” and again in the title story that concludes “Dear Life”: “The person I would really have liked to talk to then was my mother,” the narrator says near the end of that story, in an understated gut punch of an epitaph that now applies equally well to Munro herself, but she “was no longer available.”

Read by Greg Cowles

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Gregory Cowles is the poetry editor of the Book Review and senior editor of the Books desk. More about Gregory Cowles

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• v.37(16); 2022 Dec

Evidence-Based Quality Improvement: a Scoping Review of the Literature

Susanne hempel.

1 Southern California Evidence Review Center, University of Southern California, Los Angeles, CA USA

2 Gehr Family Center for Health Systems Science and Innovation, University of Southern California, Los Angeles, CA USA

6 RAND Health, RAND Corporation, Santa Monica, CA USA

Maria Bolshakova

Barbara j. turner, jennifer dinalo.

5 University of Southern California, Los Angeles, CA USA

Danielle Rose

3 Center for the Study of Healthcare Innovation, Implementation & Policy, VA Greater Los Angeles Healthcare System, Los Angeles, CA USA

Aneesa Motala

4 School of Economics, Shanghai University of Finance and Economics, Shanghai, China

Chase G. Clemesha

Lisa rubenstein, susan stockdale, associated data.

Quality improvement (QI) initiatives often reflect approaches based on anecdotal evidence, but it is unclear how initiatives can best incorporate scientific literature and methods into the QI process. Review of studies of QI initiatives that aim to systematically incorporate evidence review (termed evidence-based quality improvement (EBQI)) may provide a basis for further methodological development.

In this scoping review (registration: https://osf.io/hr5bj ) of EBQI, we searched the databases PubMed, CINAHL, and SCOPUS. The review addressed three central questions: How is EBQI defined? How is evidence used to inform evidence-informed QI initiatives? What is the effectiveness of EBQI?

We identified 211 publications meeting inclusion criteria. In total, 170 publications explicitly used the term “EBQI.” Published definitions emphasized relying on evidence throughout the QI process. We reviewed a subset of 67 evaluations of QI initiatives in primary care, including both studies that used the term “EBQI” with those that described an evidence-based initiative without using EBQI terminology. The most frequently reported EBQI components included use of evidence to identify previously tested effective QI interventions; engaging stakeholders; iterative intervention development; partnering with frontline clinicians; and data-driven evaluation of the QI intervention. Effectiveness estimates were positive but varied in size in ten studies that provided data on patient health outcomes.

Conclusions

EBQI is a promising strategy for integrating relevant prior scientific findings and methods systematically in the QI process, from the initial developmental phase of the IQ initiative through to its evaluation. Future QI researchers and practitioners can use these findings as the basis for further development of QI initiatives.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11606-022-07602-5.

Evidence-based quality improvement (EBQI) is one of a growing number of strategies used to enhance quality improvement (QI) initiative impacts in clinical practice. EBQI aims to integrate scientific evidence and methods into the QI process while maintaining focus on team-based innovation and problem-solving within real-world settings. Standard healthcare QI approaches focus powerfully on the need for measurement to determine innovation effects, and teams are advised to consult subject matter experts to strengthen their work. 1 – 5 There currently is no standard approach, however, for integrating evidence from relevant pre-existing scientific literature into QI innovation and evaluation. Comprehensive review and critical appraisal of relevant research, for example, is not typically emphasized or conducted. 6 In practice, QI teams often use anecdotal evidence alone to shape innovations, and low-validity methods to evaluate them. 7 EBQI initiatives, as a subset of all QI initiatives, aim to systematically incorporate pre-existing scientific evidence and methods into the QI process as a core focus.

Given its foundation in applying best evidence and distinct focus on collaboration with the practice, EBQI is increasingly recognized as a valuable approach to structure implementation of advances in healthcare delivery. 7 Among other factors, the rapid evolution of partnership improvement initiatives between healthcare organizations and researchers, and the increasing availability of embedded healthcare researchers within healthcare organizations have made EBQI more accessible and attractive to healthcare organizations. 3 – 5

To date, core elements of EBQI have not been well documented, leaving a critical knowledge gap about components of EBQI and how it differs from other QI approaches. In addition, evidence of the effects of employing EBQI has yet to be synthesized. We found no prior systematic reviews of EBQI, and while individual studies have shown promising results 8 to our knowledge, EBQI has not been evaluated in an evidence synthesis across studies.

This scoping review explores the EBQI literature. We document how EBQI is defined in publications and aimed to identify key components that characterize this methodology across studies. The review catalogues definitions and characteristics of EBQI as currently used in practice. Particular emphasis was on the definition, scope, and use of evidence, i.e., the core aspect of EBQI. We also examined evidence of effectiveness of EBQI. The scoping review was guided by these review questions 10 :

• Review question 1: How is EBQI defined?
• Review question 2a: How is evidence defined in these initiatives?
• Review question 2b: What are the components of EBQI?
• Review question 3: What is the effectiveness of EBQI to promote uptake of evidence-based practices?

Our objective was to conduct a systematic search to identify the available knowledge, provide a clear description of the methodology, and inform further development of methods for incorporating research evidence into QI initiatives.

The scoping review followed a detailed review protocol. We followed the steps outlined by Arksey and Malloy: (1) determining the research question; (2) identifying relevant studies; (3) selecting studies; (4) charting the data; and (5) collating, summarizing, and reporting the results. 9 In addition, we conducted a consultation exercise to inform and validate findings. The project was deemed exempt by our institutional Human Subject Committee. The protocol was registered in the Open Science Framework and is publicly available. 10 The reporting follows PRISMA-ScR, a PRISMA adaptation for scoping reviews. 11 , 12

Search Strategy

The literature searches are documented in the supplemental digital content ( SDC ). First, a search using the exact terms (“evidence based quality improvement,” “evidence-based quality improvement,” or “EBQI”) was employed to identify publications published to March 2020 that explicitly refer to EBQI in the title, abstract, or keyword of the publication (i.e., the elements that are searchable in research databases). All retrieved publications that used the terminology were included.

Second, we used a broader search strategy aimed at identifying QI initiative evaluations that were not explicitly labeled as EBQI. We assumed that some authors may not use the term “EBQI” even when they have used an evidence-based QI strategy and describe a similar approach in the full-text publication. We applied a string of exclusion criteria to arrive at a manageable sample (see eligibility section), and given the large literature on QI interventions, 19 we searched only for studies published between 2017 and 2020.

We searched PubMed (biomedical literature), CINAHL (nursing and allied health profession literature), and SCOPUS (social sciences). We searched for EBQI publications without date restriction, other QI studies were limited to three years of QI publications as described below in more detail.

Eligibility Criteria

Eligibility criteria were organized in a SPIOS (study design, participants, intervention, outcome, setting) framework; full details are shown in the SDC. Briefly, we applied the following:

• Primary care effectiveness subsample: Among EBQI publications, we identified studies reporting effectiveness results for the evaluation of an EBQI initiative. Studies had to report on patient health, and we restricted to primary care to identify a more homogenous sample of research studies.
• EBQI–compatible studies: Empirical studies involving U.S. healthcare professionals, reporting on an evaluation of a QI initiative in primary care, and documenting evidence review as part of their methodology to select, design, or implement a QI intervention. Evidence review was defined as a literature review undertaken at the beginning of the project, documentation of locally generated data to determine the need for the intervention (practice-based evidence), and/or utilizing of authoritative sources such as evidence-based clinical practice guidelines. Two independent literature reviewers screened citations and full-text publications; discrepancies were resolved through discussion in the team. Reviewers first excluded all citations that did not indicate an empirical evaluation of a QI initiative. The remaining citations were screened as full-text publication, applying all eligibility criteria described in the SDC (e.g., U.S.-based).

Data Abstraction and Synthesis

Data abstraction was tailored to the review questions. We used ten features in total to characterize the included studies (described in more detail in the SDC ):

• Evidence to identify target : using evidence (data) to identify the target of the QI initiative
• Iterative : conducting an interactive process for selecting the QI intervention
• Engagement of stakeholders : reaching out within the organization to ensure a collaborative process
• Evidence to identify intervention : reviewing evidence (research literature or local data) to select effective QI interventions
• QI facilitation : use of facilitation of the QI process
• Leadership involvement : involving clinical operations leadership in the QI initiative
• Priority setting with leadership : setting priorities for the QI initiative together with clinical operations leadership
• Frontline engagement : engaging frontline personnel early in the QI initiative
• Evidence to determine success : using data to determine the success of the QI initiative
• Analytic support : using analytic support to help QI teams

The abstraction domains had been developed by the QI content expert team members drawing on practical and research expertise (SH, ST, BT). The information was collated in evidence tables and component tables allow a concise overview. Effectiveness outcomes were summarized in a random-effects meta-analysis.

Expert Consultation

The preliminary scoping review results were presented to Dr. Lisa Rubenstein, a proponent and conceptual originator of EBQI. The formal consultation step aimed to ensure that the review addresses the right questions, identified all relevant literature, and synthesized the included material appropriately. Dr. Rubenstein was not involved in the planning of the review and assessed methods and results de novo. The consultation exercise resulted in one additional domain (priority setting with leadership) that was added to the data abstraction (see SDC ).

The literature searches identified 2001 citations. Of these, we obtained 496 for full-text inclusion screening. Figure ​ Figure1 1 shows the flow diagram.

Flow diagram.

We included 211 publications, detailed in the evidence tables in the SDC. In total, we identified 170 diverse publications that used the term EBQI. SDC Figure 1 plots the number of EBQI publications over time and shows the rapid increase in frequency and popularity of EBQI. Two peaks emerged, one around 2006–2008, the other after 2016. The 170 identified publications are described in detail in an evidence table in the appendix (see SDC Table 1 ) and were used to address review question 1.

Review Question 1 Synthesis: How Is EBQI Defined?

The majority of EBQI–labeled publications did not define EBQI; only 23 of the 170 studies provided a definition or detailed description of the EBQI process. Studies highlighted different aspects of EBQI such as stakeholder engagement 13 or described EBQI broadly as a continuous quality improvement method. 14 Rubenstein et al. 15 defined EBQI as “a continuous quality improvement approach whose goal is translation of research on care delivery models into routine practice.” Figure ​ Figure2 2 shows the terms used in the identified publications.

EBQI semantic definition overview.

Review Question 2 Synthesis: How Is Evidence Used to Inform Evidence-Informed Quality Improvement Initiatives?

The second evidence table (SDC Table 2 ) shows all 25 EBQI–labeled studies that reported on an evaluation of a QI initiative (listed first), followed by the 42 EBQI–compatible primary care evaluations, for a total of 67 EBQI–labeled or EBQI–compatible studies. The table shows the wide range of clinical topic areas and interventions addressed and describes their implementation strategy in detail. Across studies, most used published research literature to select interventions to be implemented in the QI initiative.

Review Question 2a Synthesis: How Is Evidence Defined?

In the 25 EBQI–labeled evaluations, 17 studies that provided information on the utilized evidence referred to published literature identified in a literature review. Ten EBQI studies referred to the use of local data. Six studies used expert panels and consensus meetings. Six studies referred to clinical practice guidelines that were reviewed to identify the QI intervention. Studies used these sources either alone or in combination.

Review Question 2b Synthesis: What Are the Components of EBQI?

Table ​ Table1 1 shows the 10 potential EBQI features that we abstracted for each study, the number of features characterizing each study, and the overall frequency of features across studies. EBQI–labeled studies (top half of Table ​ Table1) 1 ) are followed by EBQI–compatible studies (bottom half of Table ​ Table1). 1 ). Table ​ Table2 2 provides a summary of features across all 67 studies. Across studies, two thirds of studies reported having used evidence to identify an effective intervention, engaging stakeholders, using an iterative development, and involving frontline clinicians. In addition, all 67 identified studies used data to determine the success of the QI initiative.

Components in EBQI Studies and Components in EBQI–Compatible Studies

Note: Evidence to identify target: using data to identify the target of the QI intervention; Iterative: iterative and interactive process for selecting the intervention within the discussion; Engagement of stakeholders: reaching out to stakeholders within the organization in a collaborative process; Evidence to identify intervention: literature review to identify effective interventions in the research literature; QI facilitation: quality improvement facilitation may refer to an external facilitator, internal QI coordinator, or learning collaborative; Leadership involvement: involvement of organizational leadership beyond one-time approval or briefing at the end; Priority setting with leadership: organizational leadership was involved in prioritizing the target of the QI intervention; Frontline engagement: engagement of frontline personnel from the start, not only after the process change was decided; Evidence to determine success: use of evidence to determine the effect of the intervention; Analytic support: support from a dedicated statistician or analyst beyond of the clinical team

Summary of Components Across Studies

Note: Evidence to identify target: using data to identify the target of the QI intervention; Iterative: iterative and interactive process for selecting the intervention within the discussion; Engagement of stakeholders: reaching out to stakeholders within the organization in a collaborative process; Evidence to identify intervention: literature review to identify effective interventions in the research literature; QI facilitation: quality improvement facilitation may refer to an external facilitator, internal QI coordinator, or learning collaborative; Leadership involvement: involvement of organizational leadership beyond one-time approval or briefing at the end; Priority setting with leadership: organizational leadership was involved in prioritizing the target of the QI intervention; Frontline engagement: engagement of frontline personnel from the start, not only after the process change was decided; Evidence to determine success: use of evidence to determine the effect of the intervention; Analytic support: support from a dedicated statistician or analyst beyond the clinical team

When we compared features across the subsets, evidence to identify the target of the quality improvement intervention was more frequently reported in EBQI–labeled studies than in EBQI–compatible studies (72% vs 43%). Across EBQI–labeled and EBQI–compatible studies, involvement of leadership in priority setting for the quality improvement target (44% vs 21%) and the provision of analytic support (36% vs 26%) were least frequently reported. EBQI studies consistently reported more EBQI features: the median number of components used within study was 7 for the EBQI–labeled sample (maximum of 10) and 5.5 for the EBQI–compatible sample. The distributions in the two sets differed statistically significantly ( p = 0.037; Mann-Whitney U test).

Review Question 3 Synthesis: EBQI Effectiveness

We abstracted data from all 14 evaluations of primary care QI initiatives that used the term EBQI and that reported on a patient health outcome (SDC Table 3 ). Not all studies provided sufficient detail to allow effect size calculation. None of the studies compared two quality improvement strategies in a head-to-head comparison; hence, the documented effectiveness represents the effectiveness of the combined EBQI and implemented intervention. The forest plot in Figure ​ Figure3 3 shows effect estimates for four studies reporting categorical outcomes, expressed as relative risk (RR), that could be combined in a meta-analysis. Studies assessed the implementation of a breast-feeding protocol in primary care, 16 an intervention targeting primary care referrals to smoking cessation clinics, 13 the implementation of collaborative care for depression, 14 and a program to increase adherence to immunization guidelines for adults with diabetes. 17 The effectiveness estimates varied widely by quality improvement target and study, only one of the studies reported a statistically significant effect, but all suggested more improvements in the EBQI group.

EBQI effectiveness.

The scoping review shows that the evidence base for EBQI is growing, and to our knowledge, this is the first study that provides an overview of the available EBQI literature.

We identified EBQI components and their relative frequency, both across EBQI–labeled studies and in comparison to studies that were similar in approach to EBQI without using EBQI terminology. The focus on evidence at multiple stages of the QI initiative and the strong emphasis on engaging stakeholders were key features.

However, “evidence” was often not systematically described in the identified studies. Not all studies reported a review of the evidence to identify a target for the QI initiative (54% across EBQI–labeled and EBQI–compatible studies). This gap calls into question the focus of these studies on using evidence to identify and define QI aims, a critical entry point for introducing evidence into the QI process. Most, but not all (88%) of the studies reviewed evidence to select and shape the QI intervention design, another critical entry point for applying published research, local data, and implementation science knowledge. More complete reporting on evidence use across studies would promote assessment of fidelity to the EBQI process, which is critical to evaluation of the success of the QI initiative and our ability to learn from initiatives across settings. 18

Our review also shows that overall, there is still insufficient information regarding the effectiveness of EBQI. We only found a small number of studies using EBQI that reported on key and patient-centered outcomes, i.e., patient health, and studies addressed substantially different intervention targets, ranging from breast-feeding to depression treatment. We did not find studies that compared EBQI with other quality improvement strategies in head-to-head comparisons; hence, the effect of EBQI in the included studies was invariably confounded with the QI content. It is not known yet how EBQI compares to other quality improvement strategies, in particular quality improvement interventions that are based on anecdotal evidence. Future research should evaluate the comparative effectiveness of EBQI to provide more information on this critical aspect.

Our review has several limitations. While we systematically identified all known EBQI publications, we sampled the literature for EBQI–compatible studies and restricted to those published in recent years and limited to primary care given the large QI literature. 19 The sampling strategy was chosen to obtain a systematic and pragmatic sample that would serve as an exemplar of EBQI–compatible studies. However, it should be noted that earlier approaches were not included, which undoubtedly left out important approaches, and EBQI–compatible approaches in other fields, such as improvements in hospitals in international settings, could have provided additional important information.

We show that EBQI is a promising and growing strategy that aims to integrate prior scientific findings and methods into QI initiatives. Commonly used EBQI features integrate evidence throughout the improvement process, from the initial developmental phase of the QI initiative through to its evaluation. Future research should clearly document EBQI processes to enable better characterization of core initiative features and should assess the comparative effectiveness and success in addressing patient-centered goals.

(DOCX 656 kb)

Acknowledgements

The study was funded by the Department of Veteran Affairs. The findings are those of the authors and do not necessarily represent the views of the Department of Veteran Affairs or the United States Government.

Declarations

The authors declare that they do not have a conflict of interest.

The paper abstract has been presented for “Poster Session: Clinical Care Settings: System-level Interventions” at the Academy Health Virtual D&I Conference, 2020.

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