Specifies the number of studies evaluated orselected
Steps, and targets of constructing a good review article are listed in Table 3 . To write a good review article the items in Table 3 should be implemented step by step. [ 11 – 13 ]
Steps of a systematic review
Formulation of researchable questions | Select answerable questions |
Disclosure of studies | Databases, and key words |
Evaluation of its quality | Quality criteria during selection of studies |
Synthesis | Methods interpretation, and synthesis of outcomes |
It might be helpful to divide the research question into components. The most prevalently used format for questions related to the treatment is PICO (P - Patient, Problem or Population; I-Intervention; C-appropriate Comparisons, and O-Outcome measures) procedure. For example In female patients (P) with stress urinary incontinence, comparisons (C) between transobturator, and retropubic midurethral tension-free band surgery (I) as for patients’ satisfaction (O).
In a systematic review on a focused question, methods of investigation used should be clearly specified.
Ideally, research methods, investigated databases, and key words should be described in the final report. Different databases are used dependent on the topic analyzed. In most of the clinical topics, Medline should be surveyed. However searching through Embase and CINAHL can be also appropriate.
While determining appropriate terms for surveying, PICO elements of the issue to be sought may guide the process. Since in general we are interested in more than one outcome, P, and I can be key elements. In this case we should think about synonyms of P, and I elements, and combine them with a conjunction AND.
One method which might alleviate the workload of surveying process is “methodological filter” which aims to find the best investigation method for each research question. A good example of this method can be found in PubMed interface of Medline. The Clinical Queries tool offers empirically developed filters for five different inquiries as guidelines for etiology, diagnosis, treatment, prognosis or clinical prediction.
As an indispensable component of the review process is to discriminate good, and bad quality researches from each other, and the outcomes should be based on better qualified researches, as far as possible. To achieve this goal you should know the best possible evidence for each type of question The first component of the quality is its general planning/design of the study. General planning/design of a cohort study, a case series or normal study demonstrates variations.
A hierarchy of evidence for different research questions is presented in Table 4 . However this hierarchy is only a first step. After you find good quality research articles, you won’t need to read all the rest of other articles which saves you tons of time. [ 14 ]
Determination of levels of evidence based on the type of the research question
I | Systematic review of Level II studies | Systematic review of Level II studies | Systematic review of Level II studies | Systematic review of Level II studies |
II | Randomized controlled study | Crross-sectional study in consecutive patients | Initial cohort study | Prospective cohort study |
III | One of the following: Non-randomized experimental study (ie. controlled pre-, and post-test intervention study) Comparative studies with concurrent control groups (observational study) (ie. cohort study, case-control study) | One of the following: Cross-sectional study in non-consecutive case series; diagnostic case-control study | One of the following: Untreated control group patients in a randomized controlled study, integrated cohort study | One of the following: Retrospective cohort study, case-control study (Note: these are most prevalently used types of etiological studies; for other alternatives, and interventional studies see Level III |
IV | Case series | Case series | Case series or cohort studies with patients at different stages of their disease states |
Rarely all researches arrive at the same conclusion. In this case a solution should be found. However it is risky to make a decision based on the votes of absolute majority. Indeed, a well-performed large scale study, and a weakly designed one are weighed on the same scale. Therefore, ideally a meta-analysis should be performed to solve apparent differences. Ideally, first of all, one should be focused on the largest, and higher quality study, then other studies should be compared with this basic study.
In conclusion, during writing process of a review article, the procedures to be achieved can be indicated as follows: 1) Get rid of fixed ideas, and obsessions from your head, and view the subject from a large perspective. 2) Research articles in the literature should be approached with a methodological, and critical attitude and 3) finally data should be explained in an attractive way.
Synthesize: combine separate elements to form a whole.
A synthesis matrix helps you record the main points of each source and document how sources relate to each other.
After summarizing and evaluating your sources, arrange them in a matrix or use a citation manager to help you see how they relate to each other and apply to each of your themes or variables.
By arranging your sources by theme or variable, you can see how your sources relate to each other, and can start thinking about how you weave them together to create a narrative.
All good quality journal articles will include a small Literature Review after the Introduction paragraph. It may not be called a Literature Review but gives you an idea of how one is created in miniature.
This article provides essential tips on writing a literature review, including format, starting points, common mistakes, and the significance of the literature review. It also discusses how to write a literature review in a step-by-step and pointwise manner.
The literature review typically follows a conventional essay format, consisting of an introduction, body, and conclusion. It differs from a footnoted bibliography, which is a list of resources with individual recaps.
Discover the necessary components for the literature review.
The number of resources you need to examine depends on the literature review and your research proficiency.
A comprehensive literature review should be thorough and able to analyze and summarize extensive details from various sources.
Also read- How Can You Increase Your Citations for a Research Paper: Research Tip
Write an Email to Professor: Complete Dos and Don’ts Discussion
A literature review can increase the number of citations you receive, thereby enhancing your research profile. In general, review papers tend to receive more citations than research articles.If you have knowledge in any subject, it is advisable to write a comprehensive literature review that covers all relevant topics in a wise and informative manner.If you have a comprehensive collection of data on a specific research topic, it is recommended to analyze and synthesize them into an informative literature review article.If you do not have access to a lab facility, it may be beneficial to write a literature review. This will allow you to use your time effectively and maintain a consistent research publication schedule.If your thesis contains sufficient data, it may be beneficial to transform it into a comprehensive literature review paper with additional effort.To create a literature review article, incorporate relevant topics into your research that pertain to a specific problem area.
The literature review demonstrates an understanding and analysis of the existing literature on a particular subject, followed by the synthesis of information.Determine the existing content on a specific topic.Here is a summary of the essential principles.Identify important collaborations or recurring patternsAnalyze the strengths and weaknesses.Please identify any areas that have not been covered in the study.Recognize any conflicting proofProvide a comprehensive background for the research conducted in the term paper.Identify your functionThe literature review should focus on identifying and addressing any unresolved issues.
Please select a topic for written discussion.Focus specifically on the concerns related to your research study in that area.Identify and gather the appropriate sources.Determine the range of sources required.Create Your OverviewCreate Your Initial DraftRevise and ModifyCreate a literature review in the form of a paper.
Examine your task question and criteria sheet to determine what to focus on when looking for information in the literature.
Conduct a thorough literature review to explore existing research on the topic.
You should utilize a range of academic and literary sources that are reliable, current, and authoritative in order to gather comprehensive and relevant information. These sources may include books, journal articles, reports, government documents, conference papers, and credible websites. The library collection would be a valuable resource to search for your references.
The number of sources required for a literature review varies depending on its purpose and the individual’s level of study. Guidance from a research guide or previous experience can help determine the necessary amount.
Please remember to note down the bibliographic information of your sources.
Remember to record the research title, date, authors’ names, page numbers, and authors, as this will be beneficial for future reference.
Review the literary works Carefully read each source and look for the disagreements presented rather than focusing on the truths. When creating your testimonial, it is important to structure it by including themes and ideas as you begin and revise. It may be helpful to use a matrix, table, or idea map to visually depict and analyze the relationships between the different sources.Analyze the literature you have. It is necessary to review the sources in order to demonstrate a thorough critical analysis.
When using any resource, it is important to ask the following questions: What are the necessary terms and concepts? How relevant is this short article to my specific topic? What are the major connections and patterns? How did the writer organize their points? How reliable and credible is this source? What are the similarities and differences between the sources? Are there any gaps in the literature that need more research?
Avoid rushing to write a substantial literature review on the night before the paper is due.Please begin work on it as soon as possible, including a review of the literature.It is important to also focus on limiting your topic.It is advisable to have someone else proofread your paper before making any changes.Proofreading can assist in catching any mistakes that you may have missed, while also helping you improve your paper.When a document is edited by an expert or reviewed by a buddy or family member, it can make a significant difference.It is important to prioritize your time in order to complete your paper by the due date. Many individuals tend to procrastinate when it comes to completing assignments.Make sure to attend to your paper on a daily basis.Please adhere to the guidelines given to you by your instructor.Please use the appropriate citation style and provide the required number of sources.It is important to have confidence in your literature review.Minor errors can have significant consequences when it comes to quality.
A literature review typically consists of an introduction, body, and conclusion, which provide an overview of the topic and present the overall perspective or argument.
The information provided should be comprehensive enough to cover the topic adequately.The resource should be concise and reliable.It is important to establish a solid foundation for studying the subject.The research inquiry should be addressed along with the theoretical framework.It is important for you determine research studies and theories that support your topic.The writer must adhere to the specified format design.It is important to find a balance between resources for and against a specific aspect or argument.It should be broad and comprehensive enough to provide the necessary information on the subject.The slimness of your research study should eliminate unnecessary details.It is recommended to obtain information from reliable sources.Arranging literature based on the weight of points provided adds more significance and does not necessarily require logical organization.The paper should address the concerns raised in the research study and incorporate the theoretical framework.The sentence must acknowledge research and evidence that supports the topic.The critical term, terminology, and definitions should be specified.In addition, it is necessary to include the definition of acronyms.A solid foundation for your research study topic can be established through a literature review.
The introduction should include a summary of the content that will be covered. Please explain the purpose of writing a testimonial and the significance of the subject. The scope of the testimony will cover various aspects of the issue. The criteria for selecting literature include the sources used and the range of dates. The review follows an organizational pattern.
The introduction should include.
A literature review can achieve either goal. It can provide statistics or another compelling statement to engage the reader and introduce the topic. It can also affirm the importance of studying the subject. Additionally, it can briefly mention previous research that has been conducted. This summarizes the concluding thoughts derived from the testimonials. The research study addresses weaknesses or gaps in order to strengthen understanding and knowledge.
Body paragraphs.
Each body paragraph should address different relevant motifs related to the subject. It is necessary to incorporate multiple evaluated readings into each section to establish a coherent connection between the various resources. It is essential to analyze each source critically to determine their contribution to the themes being researched.
The body may include sections on:Background history. Approaches. There have been previous research studies conducted on the topic. Conventional versus alternative viewpoints. Initial inquiries are being made. Conclusions are being made.
Conclusion.
The verdict should provide a summary of the information.The literature contains both important arrangements and disagreements.There may be potential gaps or areas that require further investigation.Your perspective on the topic is unbiased.Based on the evidence presented in the literature review, the overall styles and ideas seem to exist.Make a connection between the analysis of existing literature and your own research.
It is important to include essential points or fill in any missing information. Thank you.
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If I have to present the literature review in presentation form how that can be done One more question while writing the presentation whether vthe text should contain author name Or not
The same way how you present the research paper in presentation (in a conference or oral presentation), you can do for literature review also. But you need to put a comparative table and scheme to make your presentation more understanding. By adding a scheme, table, chart, etc. you can make your presentation more effective.
As I understand writing a presentation means making conference or oral presentation. Yes, you should give the author name in the first slide in your ppt and the same fore conference board.
This is so informing, however when it comes to creating the gap by using your own words, in most cases supervisors authors. How can someone crest a gap using the researchers words after analysing the literature
Thank You.. finding a gap means, if you read more literature for literature review, then you will get information, and there is some gap/possibility in every work. If you can find that, it will help you to make your flow better for effective literature review writing.
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As every student knows, writing informative essay and research papers is an integral part of the educational program. You create a thesis, support it using valid sources, and formulate systematic ideas surrounding it. However, not all students know that they will also have to face another type of paper known as a Literature Review in college. Let's take a closer look at this with our custom essay writer .
As this is a less common academic writing type, students often ask: "What is a literature review?" According to the definition, a literature review is a body of work that explores various publications within a specific subject area and sometimes within a set timeframe.
This type of writing requires you to read and analyze various sources that relate to the main subject and present each unique comprehension of the publications. Lastly, a literature review should combine a summary with a synthesis of the documents used. A summary is a brief overview of the important information in the publication; a synthesis is a re-organization of the information that gives the writing a new and unique meaning.
Typically, a literature review is a part of a larger paper, such as a thesis or dissertation. However, you may also be given it as a stand-alone assignment.
The main purpose of a literature review is to summarize and synthesize the ideas created by previous authors without implementing personal opinions or other additional information.
However, a literature review objective is not just to list summaries of sources; rather, it is to notice a central trend or principle in all of the publications. Just like a research paper has a thesis that guides it on rails, a literature review has the main organizing principle (MOP). The goal of this type of academic writing is to identify the MOP and show how it exists in all of your supporting documents.
Why is a literature review important? The value of such work is explained by the following goals it pursues:
Here are some example topics for writing literature reviews:
When facing the need to write a literature review, students tend to wonder, "how long should a literature review be?" In some cases, the length of your paper's body may be determined by your instructor. Be sure to read the guidelines carefully to learn what is expected from you.
Keeping your literature review around 15-30% of your entire paper is recommended if you haven't been provided with specific guidelines. To give you a rough idea, that is about 2-3 pages for a 15-page paper. In case you are writing a literature review as a stand-alone assignment, its length should be specified in the instructions provided.
The essay format you use should adhere to the citation style preferred by your instructor. Seek clarification from your instructor for several other components as well to establish a desired literature review format:
If you want to format your paper in APA style, then follow these rules:
For MLA style text, apply the following guidelines:
Finally, if you are required to write a literature review in Chicago style, here are the key rules to follow:
Read also about harvard format - popular style used in papers.
How to structure a literature review: Like many other types of academic writing, a literature review follows a typical intro-body-conclusion style with 5 paragraphs overall. Now, let’s look at each component of the basic literature review structure in detail:
You should direct your reader(s) towards the MOP (main organizing principle). This means that your information must start from a broad perspective and gradually narrow down until it reaches your focal point.
Start by presenting your general concept (Corruption, for example). After the initial presentation, narrow your introduction's focus towards the MOP by mentioning the criteria you used to select the literature sources you have chosen (Macbeth, All the King's Men, and Animal Farm). Finally, the introduction will end with the presentation of your MOP that should directly link it to all three literature sources.
Generally, each body paragraph will focus on a specific source of literature laid out in the essay's introduction. As each source has its own frame of reference for the MOP, it is crucial to structure the review in the most logically consistent way possible. This means the writing should be structured chronologically, thematically or methodologically.
Chronologically
Breaking down your sources based on their publication date is a solid way to keep a correct historical timeline. If applied properly, it can present the development of a certain concept over time and provide examples in the form of literature. However, sometimes there are better alternatives we can use to structure the body.
Thematically
Instead of taking the "timeline approach," another option can be looking at the link between your MOP and your sources. Sometimes, the main idea will just glare from a piece of literature. Other times, the author may have to seek examples to prove their point. An experienced writer will usually present their sources by order of strength. For example, in "To Kill A Mockingbird," the entire novel was centralized around racism; in "The Adventures of Huckleberry Finn," racism was one of many themes.
Methodologically
As made obvious by the terminology, this type of structuring focuses on the methods used to present the central concept. For example, in "1984", George Orwell uses the law-and-order approach and shows the dangers of a dystopia for a social species.
In "Frankenstein," Mary Shelley exposes the character's physical traits as repulsive and horrifying, forcing him to suffer in an isolated environment. By showcasing the various methods used to portray the MOP, the writer can compare them based on things like severity, ethicality, and overall impact.
After presenting your key findings in the body paragraphs, there are 3 final objectives to complete in the essay's conclusion. First, the author should summarize the findings they have made or found, in other words, and briefly answer the question: "What have you learned?"
After discussing that information, the next step is to present the significance of the information about our current world today. In other words, how can the reader take the information and apply it to today's society? From that point, we finish off with a breadcrumb trail.
As the author, you want to leave the readers' trail of thought within the actual essay topic. This provides them with a means of further investigation—meaning that the reader may consider where the discussion will go next.
Students often underestimate the importance of planning the structure of their papers in advance. However, this is not a wise approach. Having a rough APA literature review outline (or other style outlines) will not only help you follow the right format and structure but will also make the writing process simpler and help ensure that you include all of the important information without missing anything.
How to write a literature review outline: As you already know from the Structure section of this guide, every part of your literature review performs its own important role. Therefore, you should create your outline while keeping the general introduction-body-conclusion structure in mind and ensuring that each section meets its own objectives. However, it is important to remember that a literature review outline is slightly different from outlines of other types of essays because it does not provide new information. Instead, it focuses on existing studies relevant to the main topic.
Here is a literature review outline example on the subject of the Ebola virus to help you get it right:
Hopefully, this sample outline will help you to structure your own paper. However, if you feel like you need some more advice on how to organize your review, don’t hesitate to search for more literature review outline examples in APA or other styles on the Web, or simply ask our writers to get a dissertation help .
Count on our literature review writing service to get it done! We will make your literature essay, we only need your paper requirements to save your precious time and nerves from writing it on your own!
Whether you are writing a literature review within the framework of a large research project (e.g. thesis, dissertation, or other) or as a stand-alone assignment, the approach you should take to writing generally remains the same.
Whether you are writing a literature review within the framework of a large research project (e.g., thesis, dissertation, or other) or as a stand-alone assignment, the approach you should take to writing generally remains the same.
Now, as you know about the general rules and have a basic literature review outline template, let's define the steps to take to handle this task right with our service:
This is probably the only matter you may approach differently depending on whether your literature review comes within a research paper or a separate assignment altogether. If you are creating a literature review as a part of another work, you need to search for literature related to your main research questions and problems. Respectively, if you are writing it as a stand-alone task, you will have to pick a relevant topic and central question upon which you will collect the literature. Earlier in this guide, we suggested some engaging topics to guide your search.
When you have a clearly defined topic, it is time to start collecting literature for your review. We recommend starting by compiling a list of relevant keywords related to your central question—to make the entire research process much simpler and help you find relevant publications faster.
When you have a list of keywords, use them to search for valid and relevant sources. At this point, be sure to use only trusted sources, such as ones from university libraries, online scientific databases, etc.
Once you have found some sources, be sure to define whether or not they are actually relevant to your topic and research question. To save time, you can read abstracts to get general ideas of what the papers are about instead of the whole thing.
Pro Tip: When you finally find a few valid publications, take a look at their bibliographies to discover other relevant sources as well.
Throughout your research, you will likely find plenty of relevant literature to include in your literature review. At this point, students often make the mistake of trying to fit all the collected sources into their reviews. Instead, we suggest looking at what you've collected once more, evaluating the available sources, and selecting the most relevant ones. You most likely won't be able to read everything you find on a given topic and then be able to synthesize all of the sources into a single literature review. That's why prioritizing them is important.
To evaluate which sources are worth including in your review, keep in mind the following criteria:
Furthermore, as you read the sources, don’t forget to take notes on everything you can incorporate into the review later. And be sure to get your citations in place early on. If you cite the selected sources at the initial stage, you will find it easier to create your annotated bibliography later on.
Before you can move on to outlining and writing your literature review, the final step is determining the relationships between the studies that already exist. Identifying the relationships will help you organize the existing knowledge, build a solid literature outline, and (if necessary) indicate your own research contribution to a specific field.
Some of the key points to keep an eye out for are:
Here are a few examples: Common trends may include a focus on specific groups of people across different studies. Most researchers may have increased interest in certain aspects of the topic regarding key themes. Contradictions may include some disagreement concerning the theories and outcomes of a study. And finally, gaps most often refer to a lack of research on certain aspects of a topic.
Although students tend to neglect this stage, outlining is one of the most important steps in writing every academic paper. This is the easiest way to organize the body of your text and ensure that you haven't missed anything important. Besides, having a rough idea of what you will write about in the paper will help you get it right faster and more easily. Earlier in this guide, we already discussed the basic structure of a literature review and gave you an example of a good outline. At this workflow stage, you can use all of the knowledge you've gained from us to build your own outline.
Having found and created all of your sources, notes, citations, and a detailed outline, you can finally get to the writing part of the process. At this stage, all you need to do is follow the plan you've created and keep in mind the overall structure and format defined in your professor's instructions.
Most students make a common mistake and skip the final stage of the process, which includes proofreading and editing. We recommend taking enough time for these steps to ensure that your work will be worth the highest score. Do not underestimate the importance of proofreading and editing, and allocate enough time for these steps.
Pro Tip: Before moving on to proofreading and editing, be sure to set your literature review aside for a day or two. This will give you a chance to take your mind off it and then get back to proofreading with a fresh perspective. This tip will ensure that you won't miss out on any gaps or errors that might be present in your text.
These steps will help you create a top-notch literature review with ease! Want to get more advice on how to handle this body of work? Here are the top 3 tips you need to keep in mind when writing a literature review:
1. Good Sources
When working on a literature review, the most important thing any writer should remember is to find the best possible sources for their MOP. This means that you should select and filter through about 5-10 different options while doing initial research.
The stronger a piece of literature showcases the central point, the better the quality of the entire review.
2. Synthesize The Literature
Make sure to structure the review in the most effective way possible, whether it be chronologically, thematically, or methodologically. Understand what exactly you would like to say, and structure the source comparison accordingly.
3. Avoid Generalizations
Remember that each piece of literature will approach the MOP from a different angle. As the author, make sure to present the contrasts in approaches clearly and don't include general statements that offer no value.
You can find two well-written literature reviews by the EssayPro writing team below. They will help you understand what the final product of a literature review should ideally look like.
The first literature review compares monolingual and bilingual language acquisition skills and uses various sources to prove its point:
The second literature review compares the impact of fear and pain on a protagonist’s overall development in various settings:
Both reviews will help you sharpen your skills and provide good guidelines for writing high-quality papers.
Still aren’t sure whether you can handle literature review writing on your own? No worries because you can pay for essay writing and our service has got you covered! Boost your grades is to place an order in a few quick clicks and we will satisfy your write my paper request.
is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.
Please note, these guidelines are relevant to all of our journals. Make sure that you check your chosen journal’s web pages for specific guidelines too.
Articles commonly fall into one of three main categories: Full papers, Communications and Reviews. However, each journal will have further, specific article types, so you should always refer to a journal’s specific guidelines while preparing your manuscript.
Full papers are original, unpublished primary research. Extensions of work that has been published previously in short form such as a Communication are usually acceptable.
Communications must contain original and highly significant work whose high novelty warrants rapid publication. Some journals have page limits for Communications.
Reviews may be an authoritative overview of a field, a comprehensive literature review, or tutorial-style reference materials. Reviews are usually invited by the editor, but a topic may be proposed by an author by contacting a journal’s editorial office.
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Open Access
Peer-reviewed
Research Article
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation Facultad de Medicina Humana, Universidad de San Martín de Porres, Chiclayo, Peru
Roles Conceptualization, Data curation, Investigation, Methodology, Resources, Visualization, Writing – original draft, Writing – review & editing
Affiliation Facultad de Ciencias de la Salud, Escuela de Medicina, Universidad César Vallejo, Trujillo, Peru
Roles Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Visualization, Writing – original draft, Writing – review & editing
Affiliation Faculty of Pharmacy, Mansoura University, Mansoura, Egypt
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing
Affiliations Department of Microbiology, Tribhuvan University Teaching Hospital, Institute of Medicine, Kathmandu, Nepal, Department of Microbiology, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India, Department of Public Health Dentistry, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India
* E-mail: [email protected]
Affiliations Universidad Continental, Lima, Peru, Oficina de Epidemiología, Hospital Regional Lambayeque, Chiclayo, Peru
Roles Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft, Writing – review & editing
Affiliations Master of Clinical Epidemiology and Biostatistics, Universidad Cientifica del Sur, Lima, Peru, Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon
The increase in mpox incidence underscores the crucial need to understand and effectively address prevention, early detection, and agile response to this disease. Therefore, the present study aims to determine the knowledge and attitude towards mpox.
A systematic review and comprehensive literature meta-analysis were conducted using prominent databases such as PubMed, Scopus, Web of Science, Embase, and ScienceDirect, with an updated search until June 25, 2023. The quality of the included observational studies was assessed using the Joanna Briggs Institute’s Statistical Meta-Analysis Review Instrument. The collected data were recorded in a Microsoft Excel spreadsheet, and analyses were conducted using R software version 4.2.3. Additionally, Cochran’s Q statistics were applied to assess the heterogeneity of the included studies.
A total of 299 articles were retrieved from 5 databases. This study included 27 cross-sectional articles with a total sample of 22,327 participants, of which 57.13% were women. The studies were conducted in 15 countries through an online survey. All studies had a moderate level of quality. The combined prevalence of a good level of knowledge about mpox was 33% (95% CI: 22%-45%; 22,327 participants; 27 studies; I 2 = 100%), and the combined prevalence of a positive attitude towards mpox was 40% (95% CI: 19%-62%; 2,979 participants; 6 studies; I 2 = 99%). Additionally, as a secondary outcome, the combined prevalence of the intention to vaccinate against mpox was 58% (95% CI: 37%-78%; 2,932 participants; 7 studies; I 2 = 99%).
Good knowledge and a positive attitude towards mpox were found to be low. The findings of this study highlight the need to identify gaps and focus on implementing educational programs on mpox.
Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI), Prospective International Registry of Systematic Reviews (PROSPERO), and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)
Citation: León-Figueroa DA, Barboza JJ, Siddiq A, Sah R, Valladares-Garrido MJ, Rodriguez-Morales AJ (2024) Knowledge and attitude towards mpox: Systematic review and meta-analysis. PLoS ONE 19(8): e0308478. https://doi.org/10.1371/journal.pone.0308478
Editor: Sirwan Khalid Ahmed, Ministry of Health, General Health Directorate of Raparin and University of Raparin, IRAQ
Received: March 6, 2024; Accepted: July 23, 2024; Published: August 9, 2024
Copyright: © 2024 León-Figueroa et al. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: If the data are all contained within the manuscript and/or Supporting Information files, enter the following: All relevant data are within the manuscript and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
The spread of mpox in humans has raised significant concerns in various countries globally, extending beyond Africa, especially in a context marked by the COVID-19 pandemic [ 1 ]. As of June 30, 2024, 97,962 cases of mpox have been reported in 118 countries, 111 of which have not historically reported it [ 2 ].
Mpox is a reemerging zoonotic viral disease caused by the mpox virus, an Orthopoxvirus from the Poxviridae family [ 3 ]. Individuals affected by mpox experience a time interval of 7 to 21 days between exposure and the onset of distinctive clinical symptoms, which include fever, headache, muscle pain, back pain, chills, skin rash, and lymphadenopathy [ 4 ].
The spread of the mpox virus from one person to another extends beyond close direct contact [ 5 ]. Given the rapid development of the mpox virus, how it spreads includes skin wounds, genital lesions, throat secretions, seminal fluid, and blood [ 6 , 7 ]. The rapid expansion of the outbreak in 2022 has raised concerns, mainly because over 95% of the cases affected men who have sex with other men [ 8 , 9 ].
In the face of a public health emergency like the mpox outbreak in 2022, countries must have immediate action plans to prevent diseases promptly. Additionally, providing prevention equipment and disseminating clear information about the signs and symptoms of the disease among the general population is essential [ 10 , 11 ]. It is also vital to ensure that healthcare professionals receive ongoing training or participate in short-term emergency training programs related to mpox [ 10 , 12 ]. These measures will effectively contribute to mitigating the impact of mpox [ 11 ].
Despite efforts and thorough planning, several challenges persist that need to be overcome, including the deficiency in the level of education and the limited knowledge of citizens regarding the current health crisis [ 13 , 14 ]. Therefore, this study aims to determine the combined prevalence of knowledge and attitudes regarding mpox.
2.1. protocol and registration.
This systematic review and meta-analysis were conducted following the guidelines of the PRISMA checklist [ 15 ] ( S1 Table ) . The protocol for this research has been appropriately registered in PROSPERO ( CRD42023439782 ), ensuring transparency and rigor in the process.
Inclusion criteria..
All observational studies on the prevalence of knowledge, attitude, or both, regarding mpox were considered. No restrictions were imposed regarding gender, health status, language, time, quality, or geographic location. However, only those studies that were available in their entirety provided sample size information presented data related to any aspect of knowledge and attitude towards mpox or provided data from which the required results could be calculated, were included.
The following studies were excluded: those containing duplicate information, those whose research topics were unrelated to the objective of our study, as well as those using a design different from an observational study. Additionally, articles lacking full text were discarded due to insufficient data or not reporting the desired results.
Three expert researchers conducted exhaustive searches in various databases, including PubMed, Scopus, Embase, Web of Science, and ScienceDirect. Keywords such as "mpox," "knowledge," "awareness," and "attitude" were used as part of the search strategy. Specific search strategies for each database are detailed in S2 Table . The initial search was conducted on June 1, 2023, and subsequently updated on June 25, 2023.
The search strategy results were stored and managed using the Endnote software. After eliminating duplicate articles, three experts independently conducted a preliminary selection of the remaining articles by reading the titles and abstracts, following predefined criteria. Subsequently, two other researchers thoroughly reviewed the complete reports to determine if they met the inclusion criteria. Any discrepancies would be resolved through discussions and consultations with a sixth investigator.
This study addressed two main aspects related to knowledge and attitudes towards mpox.
The knowledge base of the participants in this study relied on the reports of the included articles, which revealed either good general knowledge or a high level of specific knowledge about mpox. The criteria used to determine the combined prevalence of knowledge covered modes of transmission, clinical symptoms, treatment, prevention, and the diagnosis of mpox.
The participants’ attitude in this study was based on the analysis of the included articles, which encouraged a positive attitude towards mpox. Positive attitudes toward mpox included confidence in the overall ability to control the epidemic, in the effectiveness of preventive and control measures, and in the perception that health actions are adequate to prevent its spread.
The intention of the participants to vaccinate against mpox in this study was based on the analysis of the included articles, which reported the importance of getting vaccinated against mpox if the vaccine was available or as a preventive measure.
Three independent authors evaluated the quality of the included studies using the "JBI-MAStARI" method for observational studies. In the event of any discrepancies among the evaluators, a fourth author intervened to address and resolve them. To perform this evaluation, a checklist composed of eight critical parameters was used to assess the responses as "yes," "no," "unclear," or "not applicable." The quality of the studies was classified based on their score as high (≥7 points), moderate (4 to 6 points), or low (<4 points) [ 16 ] ( S3 Table ).
Two independent researchers meticulously collected relevant data from the selected articles. The following details were extracted and recorded in an Excel spreadsheet: first author’s name, publication year, country, sample size, study population, gender (male and female), the prevalence of mpox knowledge, prevalence of attitudes towards mpox, number of cases with knowledge of mpox, and number of cases with attitudes towards mpox. Finally, a third researcher verified the extracted data to ensure accuracy and eliminate incorrect information.
Firstly, the selected articles were entered into a Microsoft Excel spreadsheet to perform the analysis using R, version 4.2.3. Narrative tables and charts were used to present the research results. To estimate the joint prevalence of mpox knowledge and attitudes, an inverse variance-weighted random-effects model was used. This technique, commonly used in meta-analyses, allows the results of several independent studies to be combined. The model takes into account both within-study variability (within-study variance) and between-study variability (between-study variance) [ 17 ]. The Cochrane Q statistic was employed to assess heterogeneity among studies and quantified using the I 2 index, where 25%, 50%, and 75% indicated low, moderate, and high heterogeneity, respectively [ 18 ]. Funnel plots and Egger’s regression test were used to check for publication bias. Publication bias occurs when the results of published studies are not representative of all studies conducted, usually because studies with non-significant results are less likely to be published [ 19 ]. A possible publication bias was considered when the p-value was < 0.05 [ 20 ].
Subgroup analyses were performed according to study population and country. A forest plot was used to illustrate the combined prevalence of good knowledge and attitudes towards mpox, including 95% confidence intervals.
A total of 299 articles were retrieved from 5 databases. After removing duplicates (n = 125), researchers analyzed 174 articles. Then, the titles and abstracts of these articles were reviewed, and 54 were selected for a thorough full-text review. Finally, 27 articles were included in the study [ 21 – 47 ]. The PRISMA flow diagram shows the study selection process ( Fig 1 ).
https://doi.org/10.1371/journal.pone.0308478.g001
This study included 27 cross-sectional articles with a total sample size of 22,327 participants ( Table 1 ). The sample composition consisted of 42.83% males, 57.13% females, and 0.04% others (undefined or unreported) [ 21 – 47 ]. The studies were conducted in 15 countries using an online survey, where questionnaires were sent via e-mail and other communication channels to those with Internet access. The articles cover the period between 2020 and 2023 in their publication year. The sample sizes ranged from 111 to 5,874. Regarding the prevalence of knowledge and attitude towards mpox, the ranges observed were from 0.6% to 65.46% and 12.2% to 84.83%, respectively [ 21 – 47 ].
https://doi.org/10.1371/journal.pone.0308478.t001
The studies were evaluated regarding quality using the JBI-MAStARI for observational research. It was determined that all studies had a moderate level of quality [ 21 – 47 ] ( S3 Table ). We examined the publication bias of articles that reported the level of good knowledge and positive attitude about mpox ( S1 Fig ). Egger’s test, applied to assess publication bias in studies related to the level of good knowledge about mpox, revealed a value of p = 0.0135 (t = 2.66, df = 25), leading to the rejection of the null hypothesis of symmetry. This finding suggests the possible presence of publication bias in the studies analyzed ( S1 Fig ) [ 21 – 47 ]. Articles reporting a positive attitude towards mpox were not assessed for publication bias, as there were fewer than ten studies.
The aggregated prevalence and 95% confidence interval of knowledge and attitudes towards mpox among study participants are presented in a forest plot ( Figs 2 and 3 ) [ 21 – 47 ]. The random-effects model showed that the combined level of good knowledge about mpox was 33% (95% CI: 22%–45%; 22,327 participants; 27 studies; I 2 = 100%; p < 0.01) ( Fig 2 ) [ 21 – 47 ]. The estimated overall positive attitude towards mpox was 40% (95% CI: 19%–62%; 2,979 participants; 6 studies; I 2 = 99%; p < 0.01) [ 21 , 29 , 32 , 33 , 37 , 43 ] ( Fig 3 ).
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The pooled prevalence of intention to vaccinate against mpox was 58% (95% CI: 37%–78%; 2,932 participants; 7 studies; I 2 = 99%; p < 0.01) [ 24 , 30 – 32 , 37 , 43 , 46 ] ( S2 Fig ).
Subgroup analyses were performed based on the study region and study population [ 21 – 47 ].
A subgroup analysis was performed based on country. The pooled prevalence of a high level of knowledge about mpox was found to be higher in Algeria (65%, 95% CI: 56%, 74%) [ 31 ] and lower in the Philippines (5%, 95% CI: 3%, 7%) [ 26 ] ( S3 Fig ). However, the pooled prevalence of a positive attitude towards mpox was higher in Bangladesh (85%, 95% CI: 81%, 89%) [ 21 ] and lower in Iraq (12%, 95% CI: 9%, 15%) [ 32 ] ( S4 Fig ).
A subgroup analysis based on the study population was conducted and divided into two groups: healthcare personnel (doctors, medical students, dental health professionals, and healthcare employees) and the general population (hotel workers, sex workers, university students from different health-related disciplines, and participants from the public). The overall prevalence of a high level of knowledge about mpox was higher in the general population (34%; 95% CI: 23%–46%; 10,505 participants; 12 studies; I 2 = 99%; p < 0.01) [ 23 , 24 , 26 – 28 , 30 , 32 , 34 , 35 , 39 , 41 , 43 ] and lower among healthcare personnel (32%; 95% CI: 17%– 49%; 11,822 participants; 15 studies; I 2 = 100%; p < 0.01) [ 21 , 22 , 25 , 29 , 31 , 33 , 36 – 38 , 40 , 43 – 47 ] ( S5 Fig ). The overall prevalence of a positive attitude towards mpox was higher among healthcare personnel (53%; 95% CI: 26%– 79%; 1,523 participants; 4 studies; I 2 = 99%; p < 0.01) [ 21 , 29 , 33 , 37 ] and lower in the general population (16%; 95% CI: 9%– 25%;1,456 participants; 2 studies; I 2 = 94%; p < 0.01) [ 32 , 43 ] ( S6 Fig ).
Mpox is not currently considered a public health emergency of international concern; however, it continues to be transmitted in several countries. A thorough understanding of prevention and control measures for this disease is essential.
Given the diversity of research on mpox, multiple studies have been conducted to assess the knowledge of different population targets about mpox to understand the gap of knowledge that can be covered by appropriate educational tools to increase the knowledge score about this disease and to curb its transmission by following the infection control measures [ 21 , 22 , 24 , 48 ]. So we have conducted a systematic review and meta-analysis to gain a more comprehensive understanding of the prevalence of good knowledge levels and attitudes of the general population towards mpox. All relevant studies found through various online search engines were considered to achieve this. Additionally, a subgroup analysis was performed to examine the prevalence of individuals with positive attitudes and a good level of knowledge about mpox based on the region of study and the population analyzed.
The findings of this study revealed that the combined prevalence of good knowledge about mpox was 33%, and the subgroup analysis revealed a total prevalence of good knowledge among the general population and healthcare personnel equal to 34% and 32%, respectively. A meta-analysis by Jahromi AS et al., which included 22 studies involving 27,731 health care workers, revealed that 26% of them had a good knowledge of mpox [ 49 ]. To improve knowledge about mpox, it is crucial to identify reliable and up-to-date sources of information that provide accurate data on its transmission, symptoms, prevention, and treatment. This is essential to effectively understanding and addressing this disease, with a strong emphasis on online sources such as social networks (59%) and the Internet (61%) [ 50 ].
Another result of this study was the combined prevalence of positive attitudes towards mpox, which was 40%. The subgroup analysis results indicated that the combined proportion of positive attitudes towards mpox among healthcare workers was 53%, and the general population was 16%. Different research has assessed this positive attitude towards mpox, ranging from 12% to 85% [ 21 , 29 , 32 , 33 , 37 , 43 ]. A meta-analysis by Jahromi AS et al., which included six studies with 14,388 health care workers, revealed that 34.6% of them had a positive attitude toward mpox [ 49 ]. That could be explained by the disparity in how different populations respond to disease severity and adopt protective measures, which may be attributed to socioeconomic, cultural, information access, and distrust in the healthcare system or government policies. It is essential to address these factors to ensure a more equitable and effective response to any disease and promote the adoption of public health measures to benefit the entire population [ 51 , 52 ].
The difference in the prevalence estimates of the knowledge and the attitude score between our findings and other individual papers may be justified by the difference in the culture of the population from one country to another, the difference in the target group (general population, medical students and healthcare workers), the difference in the timeline at which each study was conducted, the difference in the survey methods used in the assessment of the knowledge and the attitude, and other factors that should be taken into our consideration.
The secondary outcome revealed that the prevalence of the intention to vaccinate against mpox was 58%, consistent with a meta-analysis conducted by Ulloque-Badaracco et al., which reported that the prevalence of mpox vaccine acceptance equals 56% [ 53 ]. Another meta-analysis proposed by León-Figueroa DA et al., which included 29 articles with a total sample of 52,658 participants, determined that the combined prevalence of intention to be vaccinated against mpox was 61% [ 54 ]. It was recommended by the World Health Organization (WHO) and The Center for Disease Control and Prevention (CDC) to vaccinate certain groups of the population who are at risk of developing mpox in terms of pre-exposure and postexposure prophylaxis using JYNNEOS, ACAM2000, and LC16m8 vaccines [ 55 – 57 ]. However, there is variation in the prevalence of intention to vaccinate against mpox reported in the individual studies; this variation could be due to fear of unknown adverse reactions and doubts about the efficacy and safety of the mpox vaccine [ 54 , 58 ].
We recommend that further research is needed to cover the knowledge of the different population groups, including the general public, healthcare professionals, and students, regarding mpox disease, especially in countries with missing data. Further research is needed in countries with many mpox-infected patients at different intervals to track the change in the people’s knowledge, attitude, intention to get vaccinated, and their maintenance on tracking the infection control measures.
This research has several limitations. First, the use of self-reported questionnaires could introduce biases, as participants could provide socially acceptable answers or exaggerate their knowledge about mpox, thus affecting the validity of the data. To mitigate this problem, it is crucial to recommend the use of proxy questions, ensure the anonymity of responses, and perform consistency analysis. Second, the high heterogeneity among the included studies (I 2 > 75%) indicates diversity in the methodologies and populations investigated, which could limit the generalizability of the findings. Our study addressed this issue through subgroup analysis, clear inclusion criteria, and the use of random-effects models, thus providing more accurate and robust data. Third, we found evidence of publication bias, which we addressed using tests such as Egger’s test and funnel plots. Fourth, variations in questionnaire design, distribution methods, and participant demographics could introduce confounding factors into the analysis. Despite these differences, the studies presented similar general criteria regarding transmission, clinical symptoms, diagnosis, treatment, and prevention of mpox. Finally, variability in outcomes could be attributed to sociodemographic, economic, and cultural factors, as well as access to education and trust in the health system or government policies of each country.
Nevertheless, this research has strengths. First, an exhaustive search was carried out in multiple databases without language restrictions, which increased the completeness of the review. Second, robust tools were used to assess quality, and statistical analysis was performed, which reinforced the validity of the results (JBI-MAStARI, PRISMA, Egger’s test, funnel plots, and R software). Third, article selection and data extraction were performed independently by more than three investigators. Finally, this study represents the first systematic review and meta-analysis assessing the prevalence of good knowledge and positive attitudes toward mpox, providing reliable data that can be used by policymakers to improve knowledge and attitudes toward mpox.
In conclusion, this systematic review and meta-analysis reported a significant gap in good knowledge and positive attitudes towards mpox. Furthermore, the combined prevalence of good knowledge and positive attitudes differed across study populations, regions, and publication years. A holistic and multisectoral approach is necessary for the successful understanding of mpox. Additional healthcare education and communication are crucial for improving knowledge and attitudes regarding mpox.
S1 table. prisma checklist (prisma 2020 main checklist and primsa abstract checklist)..
https://doi.org/10.1371/journal.pone.0308478.s001
https://doi.org/10.1371/journal.pone.0308478.s002
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Rhegmatogenous retinal detachment with giant retinal tear: case series and literature review.
2. materials and methods, 4. discussion, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, conflicts of interest.
Click here to enlarge figure
Author (Year) | Eyes (n) | Mean Age (Years) | Sex (%) | Etiology | Retinal Reattachment | BCVA 20/40 or Better after OP | Recurrent RD | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
M | F | Idiopathic | Trauma | High Myopia | Primary | Final | |||||
Kertes et al. [ ] (1997) | 162 | N/A | N/A | N/A | N/A | 41 (23.5%) | 20 (12.3%) | 78 (48.1%) | 147 (90.7%) | 24 (14.8%) | 80 (49.4%) |
Ambresin et al. [ ] (2003) | 18 | 44 | 72 | 28 | N/A | 2 (11.1%) | 7 (38.9%) | 16 (88.9%) | 17 (94.4%) | 9 (50.0%) | 2 (11.1%) |
Gosh et al. [ ] (2004) | 29 | 35 | 86 | 14 | 10 (34.5%) | 9 (31.0%) | 10 (34.5%) | 19 (65.5%) | 25 (86.2%) | N/A | 6 (20.7%) |
Sirimaharaj et al. [ ] (2005) | 62 | 44 | 84 | 16 | N/A | 19 (30.6%) | 10 (16.1%) | 49 (79.0%) | 58 (93.5%) | 27 (43.5%) | 13 (21.0%) |
Goezinne et al. [ ] (2008) | 30 | 53 | N/A | N/A | N/A | 4 (13.3%) | N/A | 21 (70.0%) | 29 (96.7%) | N/A | 9 (30.0%) |
Lee et al. [ ] (2008) | 128 | 40 | 91 | 9 | N/A | 17 (13.3%) | 52 (40.6%) | 71 (71.7%) | 84 (84.8%) | N/A | 15 (15.2%) |
Ang et al. [ ] (2010) | 62 | 42 | 72 | 28 | 34 (54.8%) | 10 (16.1%) | 11 (17.7%) | 50 (87.7%) | 54 (94.7%) | 24 (42.1%) | 12 (21.1%) |
Age | Sex | AXL (mm) | Days to OP | Follow-Up (Months) | BCVA before OP | BCVA after OP | Additional Barrier PC | Complication | |
---|---|---|---|---|---|---|---|---|---|
Case 1 | 57 | M | 27.52 | 4 | 6 | 20/100 | 20/20 | 3 | - |
Case 2 | 66 | M | 23.91 | 0 | 6 | 20/63 | 20/20 | 5 | - |
Case 3 | 60 | M | 25.98 | 0 | 6 | 20/100 | 20/20 | 0 | Secondary ERM |
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Lee, S.; Kim, J. Rhegmatogenous Retinal Detachment with Giant Retinal Tear: Case Series and Literature Review. J. Clin. Med. 2024 , 13 , 4690. https://doi.org/10.3390/jcm13164690
Lee S, Kim J. Rhegmatogenous Retinal Detachment with Giant Retinal Tear: Case Series and Literature Review. Journal of Clinical Medicine . 2024; 13(16):4690. https://doi.org/10.3390/jcm13164690
Lee, Siyun, and Joonhyung Kim. 2024. "Rhegmatogenous Retinal Detachment with Giant Retinal Tear: Case Series and Literature Review" Journal of Clinical Medicine 13, no. 16: 4690. https://doi.org/10.3390/jcm13164690
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BMC Public Health volume 24 , Article number: 2122 ( 2024 ) Cite this article
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Understanding health-seeking behaviors and their drivers is key for governments to manage health policies. A growing body of research explores the role of cognitive biases and heuristics in health and care-seeking behaviors, but little is known about how a context of heightened anxiety and uncertainty might influence these behavioral drivers. This study analyzes the association between four behavioral predictors—internal locus of control, impatience, optimism bias, and aspirations—and healthcare decisions among low-income women in El Salvador, controlling for other factors. We find positive associations between internal locus of control and preventive health behaviors during the COVID-19 pandemic. For instance, a one standard deviation increase in locus of control is associated with a 10% increase in an index measuring the use of masks, distancing, hand washing, and vaccination. Locus of control was also associated with women’s use of preventive health services (one standard deviation improves the likelihood of having a hypertension test in the last six months by 5.8 percentage points). In a sub-sample of mothers, we find significant relationships between the four behavioral drivers and the decisions the mothers make for their children. However, we find these associations are less robust compared to the decisions they make for themselves. Some associations were stronger during the pandemic, suggesting that feelings of uncertainty and stress could amplify behavioral drivers’ influence on health-related behaviors. This novel finding is relevant for designing policy responses for future shocks.
I12, D10, D91, I30.
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Health-seeking decision-making is usually determined by need factors (such as chronic disease status or having a poor health perception) but also by key drivers such as education, health education, income, insurance status, and ability to pay for oneself [ 1 ]. However, healthcare decision-making is so complex that the typical neoclassical economics framework is not sufficient for analyzing it, and we might need to examine factors that go beyond observable variables [ 2 , 3 ]. For instance, people might delay or avoid seeking preventive medical care in the present because they are myopic to the future gains of these interventions [ 4 ]. Others, by being overly optimistic, might underestimate their chances of contracting a disease that is actually seriously contagious [ 5 ].
Less is known about how factors that go beyond observable variables might influence healthcare decision-making in the context of a pandemic, an environment of heightened anxiety and uncertainty. Structural barriers like service disruption significantly influenced how much people utilized healthcare services. In four Latin American countries, service disruptions were associated with increased mortality rates [ 6 ], and in Mexico, they were associated with a decline of over 50% in sick child visits and with a 33% drop in consultations for childhood vaccinations [ 7 ]. However, data limitations made it difficult to disentangle the effect of supply and demand factors. In other developing areas where no restrictions were placed on healthcare services, like rural South Africa, a study found no change in adults’ total daily visits to clinics, but it did find a significant decrease in healthcare visits for children under one year old and one to five years old [ 8 ]. This finding resembles the decrease in children’s healthcare visits in China and children’s vaccination rates in the USA [ 9 , 10 ]. Although the cause is unknown, insufficient childcare options for other children and the fact that these consultations rarely involve medication refills could explain this outcome. Finally, a study using a weekly country-by-county dataset covering the entire Taiwanese population finds that even without taking human mobility restrictions or supply constraints into account, people voluntarily reduced their demand for health care due to fears of contagion or to COVID-related prevention measures [ 11 ].
Researchers have paid less attention to how factors that go beyond structural or observable variables might influence healthcare decision-making during a pandemic. In this context, are people less rational, relying more on heuristics and their cognitive biases to make decisions? Or does the do-or-die nature of the context instead prompt them to prioritize “System 2 thinking,” [ 12 ] which is more rational and deliberate, but is slower and demands more cognitive resources. So far, the evidence on this topic seems mixed in low-income settings or when decisions are made for third parties (like when mothers make decisions on behalf of their children). Some studies have found no discernible differences in economic preferences and decision-making in times of crisis compared to normal times [ 13 ], while others report significant changes in risk tolerance and patience [ 14 , 15 ], stress and depressive symptoms [ 16 ], and internet searches related to economic anxiety, mental health, and well-being [ 17 , 18 , 19 ]. The extent to which behavioral drivers impact decisions during crises could differ by gender. A study using an online sample of 1,500 respondents who were residents of the UK found that women had worse mental health than men and were more pessimistic about the pandemic and economic development [ 20 ].
This article thus explores how behavioral drivers affect healthcare decision-making during a pandemic in a low-income setting in a Central American country. We explore four types of behavioral drivers and their associations with the healthcare decisions of a cross-section of women (and with the healthcare decisions they made for their children in some cases) in low-income communities in El Salvador during the COVID-19 pandemic. Specifically, we rely on survey measures of impatience (how much people value the future versus the present), internal locus of control (the belief that one’s life is contingent on one’s own decisions), optimism bias (the belief that chances of positive events are higher for us than for our peers), and educational aspirations (for the women’s children) which relates to aspirations for the future. We test behavioral drivers’ predictive power by comparing healthcare decisions that were directly related to the COVID-19 pandemic and made during that time with decisions about general healthcare made one year later. The first set of decisions includes compliance with non-pharmaceutical COVID-19 prevention measures (masking, social distancing, and hand washing), COVID-19 vaccination, and avoidance of healthcare services for fear of the pandemic. In their econometric specification, we include restrictions in service supply during 2020 as controls. The second set of decisions includes preventive services for the women, such as screening for chronic conditions (hypertension and diabetes), as well as the use of health and nutrition services—such as prenatal care check-ups and feeding and supplementation practices— for their children.
Several key findings emerge from our analysis. First, locus of control is positively associated with multiple behaviors related to both COVID-19 and general health. For instance, the women’s internal locus of control is positively associated with non-pharmaceutical COVID-19 preventive measures, COVID-19 vaccination, and receiving preventive care services (hypertension check-ups). Interestingly, locus of control has the highest magnitude of correlation with daily behaviors that might be more challenging to adhere to, such as non-pharmaceutical COVID-19 preventive measures. This finding, which as far as we know has not been reported previously in the literature, is not surprising, since those who believe their fate is in their hands will likely take measures to avoid disease in the future.
Second, most behavioral drivers are relevant for non-pharmaceutical COVID-19 preventive measures. In this case impatience, locus of control, and optimism bias are all significant and have a meaningful magnitude of correlation. This is the only outcome for which all three behavioral drivers are jointly significant.
Third, the behavioral drivers of optimism bias and educational aspirations for children are relevant for health service avoidance during the pandemic. Women with higher optimism bias are less likely to have avoided health services for fear of the pandemic, perhaps because they were overconfident that they would not contract COVID-19 while receiving health services. In the same vein, mothers with higher educational aspirations for their children were less likely to avoid healthcare services for their children. This result is probably explained by a positive cost-benefit assessment of the risks of detecting children’s health needs and acting on time, even in the context of a pandemic.
Finally, in line with the literature, people with higher impatience are less likely to engage in healthy behaviors such as non-pharmaceutical COVID-19 prevention measures. These results provide evidence of the relevance of certain behavioral traits in healthcare decision-making during a crisis.
This article is structured as follows. The first section defines the behavioral predictors we use in this study and briefly reviews the literature on those predictors and their relationship with general, health-related decision-making. The second describes the data we used for our estimations. The third presents the econometric specifications and the main results, and the final section contains a brief discussion and a conclusion.
This section provides a brief overview of the behavioral predictors we use to study healthcare decision-making in the context of the COVID-19 pandemic in El Salvador. We define the predictors and contextualize them within the literature on healthcare decision-making.
A person with a high internal locus of control believes that life events are contingent on their own decisions and behaviors instead of other forces like fate or luck [ 21 ]. Several studies have demonstrated a positive relationship between this attribute and different human capital investments, such as educational, job-seeking, and labor market decisions and outcomes [ 22 , 23 , 24 ]. In the health domain, the evidence shows that individuals with a higher internal locus of control prefer to be more present in the decision-making process and take a more active and collaborative role with doctors [ 25 , 26 ]. Likewise, empirical research points to positive associations between higher locus of internal control and healthy living and well-being, and negative associations between this attribute and risky behavior such as tobacco, alcohol, and drug use [ 22 , 27 , 28 ]. People with a high internal locus of control also exhibit better physical and mental health and are less likely to suffer long-term health conditions [ 29 ]. In the field of prenatal and maternal health, a recent study in Nigeria shows that a higher internal locus of control was a significant predictor of utilization of antenatal care and skilled birth care, and of completion of child vaccination [ 30 ]. According to this evidence, people with a higher internal locus of control are more likely to display behaviors related to preventive health.
Impatience measures how much someone values the future relative to the present, and this preference affects inter-temporal decision-making. The literature contains ample evidence of the positive association between patience, human capital investments, and healthy lifestyles [ 31 ]. Further, impatience has been positively associated with obesity [ 32 ], and negatively with preventive health checkups such as fewer mammograms, Pap tests and prostate examinations, dental visits, and flu shot usage [ 4 ]. In sum, more impatient individuals are more likely to make less desirable health-related decisions, since most preventive health investments are realized in the future.
Optimism bias occurs when people think their chances of experiencing positive events are higher than that of their peers or of the public, or, conversely, that their chances of experiencing negative events are lower [ 33 , 34 ]. A typical example is that most people claim they are less likely than the average driver to be involved in an automobile accident, which is mathematically unfeasible. This behavioral feature is also present in the health domain. People with optimism bias tend to believe they are less likely to experience negative health outcomes [ 35 ], which may hinder efforts to promote preventive, risk-reducing behaviors [ 36 ]. This type of bias is stronger among youth and among people with no active medical symptoms [ 37 ]. . In the context of the pandemic, this bias may help explain why many people refused to wear masks in health facilities and continued to attend large gatherings [ 38 , 39 ]. However, evolutionary models suggest that individuals with optimism bias could be more likely to survive if the benefits of optimism outweigh the cost of inaccurately estimating risk [ 5 , 40 ]. For example, there is a wide body of literature that finds that optimistic individuals were less likely to suffer blood pressure and cardiovascular disease because these people also had increased physical activity and better diet [ 41 , 42 ].
Parents’ aspirations about their children’s future play an important role in overall human capital investments. For example, mothers’ aspirations are important determinants of decisions about their daughters’ schooling [ 43 ] and of their children’s aspirations, achievements, and overall well-being [ 44 ]. Further, parental educational aspirations might lead adolescents to participate in health-promoting activities, like exercise or healthy eating [ 45 ]. According to this evidence, we expect the mothers in our sample with high educational aspirations for their children to behave in ways that promote their children’s health.
Our main data source is a household and facility survey conducted in June 2021 in low-income areas in El Salvador. At that time, the country was rolling out COVID-19 vaccinations, and about one in five people had received at least one dose. Meanwhile, the country was easing restrictions, and COVID-19 cases and mortality had stabilized after the Delta variant surge in January 2021. Footnote 1 The main household survey respondents were women aged 15 to 49, and the questionnaire focused on utilization of health services for them and their children (for those with children younger than 60 months), as well as other health-related behaviors during the COVID-19 pandemic. The survey is unique in that it also includes measures on four behavioral predictors that could be relevant for healthcare decision-making in this context: impatience, internal locus of control, optimism bias, and mothers’ educational aspirations for their own children. In addition to the household survey, we administered a facility survey to the coordinator of the public primary care facility serving women in our sample. Footnote 2 We merged the results from the facility survey with the results from the household survey. Overall, we collected information on 848 women and 60 facilities, which are representative of 14 of the poorest municipalities in El Salvador. Footnote 3 We conducted sampling for the household survey in two stages. We first selected facilities within the 14 municipalities, followed by a random sample of dwellings in the facility’s catchment area to interview women. We interviewed women regardless of whether they received services from the facility.
There are two categories of covariates in our dataset, as shown in Table 1 . Panel A includes individual characteristics of the women and children, as well as proxies for their socioeconomic status. The women in our sample were around 31 years old on average. Most (68.28%) were either married or live in a de facto union, 27.95% have secondary or tertiary education, 57.43% perceive their health to be good, while only around 15% are first-time mothers, and 2.95% live in a household where someone had been diagnosed with COVID-19. Footnote 4 The children in our sample were approximately 1.87 years old on average and were equally distributed by gender. Less than half of them (42.54%) were still breastfed, and their mothers were highly optimistic about their health status. Finally, we use housing conditions (for example, access to electricity, owning a bathroom, type of roof, and floor) and access to treated water as proxies for socioeconomic status. In our sample, only around 21% of households had three or more household assets (i.e., 79% of survey respondents had two or fewer assets), and only 34.67% had access to treated water, which underscores the low-income setting of the population in our sample.
Panel B describes how changes in health service provision during the pandemic affected the women and children in our sample. We find that just under 45% of women live in the catchment area of a facility that suspended health services at some point during 2020. However, child healthcare services were less affected, since only 16% of women experienced a suspension of services. Finally, even though over 35% of women lived in the catchment area of facilities that had staff reductions during 2020, only 4.36% experienced reduced hours. Overall, facilities serving these women had limited shortages of key supplies Footnote 5 (with average shortages of just under two supplies).
Locus of control.
We use a survey measure of locus of control based on Caliendo et al. (2015) [ 46 ]. Table 2 details the survey questions used for this measure. We find that the population in our sample has an average internal locus of control score of 3.77 out of 5, with 5 being the highest degree of agreement with each statement. The standard deviation for this finding is 0.51. This score means the sample tends to agree more with statements that give themselves a higher degree of responsibility and agency over events. Although we did not find many differences across demographic groups, married women and those who completed high school education or higher have a slightly higher internal locus of control score (Table A S1 ). This finding is partially similar to data from Germany, where married individuals have a lower locus of control and higher educational attainment is associated with higher scores [ 46 ]. The same study also finds that women, immigrants, and older workers have a lower internal locus of control.
Comparing internal locus of control scores with other populations is challenging because of measurement invariance, especially considering the different interpretations of the construct and scales. However, the average in our sample is similar to the averages found in the literature. For instance, a study using a similar instrument to analyze a sample of unemployed individuals in Germany showed a slightly lower score of 3.58 [ 46 ]. Footnote 6 Other locus of control instruments implemented in household surveys in Australia [ 29 ] and Ethiopia [ 47 ] yielded averages that are relatively similar to ours when rescaled to a 5-point scale (3.92 for the former, and 3.45 Footnote 7 for the latter).
We measure impatience according to Falk et al. (2022) [ 48 ]. We ask five questions using the staircase (or unfolding brackets) method, in which subjects choose between a payment today or a larger payment in twelve months. The amount of the hypothetical payment today is the same in each of the situations (10 USD), but the payment in 12 months increases if the respondent answers “today” and decreases if they answer “in 12 months.” All cases assume no inflation, so future prices will be the same as current prices. Each person is scored according to their preferences on a scale of 1 to 32, where 32 is high impatience (we provide a decision-tree with amounts in Appendix Figure A S1 ) We find a very skewed distribution, with a great majority of women in our sample reporting a high level of impatience: 78% of them answered they would prefer to receive 10 USD today, instead of 21.5 USD in 12 months.
We find significant temporal discounting levels, which aligns with previous related research, given the lower-income setting from which the sample was drawn [ 49 ]. Footnote 8 For larger and more heterogeneous populations, previous studies have found that patience is positively associated with higher cognitive ability and varies with age: middle-aged individuals are more patient than young and elderly people. However, we did not found differences by demographic variables (Table A S1 ), probably due to the homogeneity of the sample.
Our survey module on optimism bias measures the women’s degree of confidence about future life events [ 33 ]. The survey questions used for this measure are detailed in Table 3 . This indicator reflects the women’s estimate of how much their chances of experiencing five life events would differ from those of someone with similar characteristics, on a scale of 0 (not likely at all) to 10 (extremely likely). As with the locus of control scale, we inverted questions 2 and 5 to purely measure optimism bias. In general, we find the women in our sample to be overoptimistic. They tend to rate their own likelihood of experiencing a specific life event above the “equally as likely as my neighbor” cutoff for positive events (items 1, 3, and 4), and below and just around it for negative events (items 2 and 5). Concretely, they are optimistic about their economic situation (family having more income next year), and they think they are equally as likely to get robbed as their neighbors. This finding is in line with previous research on automobile accidents, crime, and disease [ 33 , 51 ].
In the health domain, women seem to be relatively overconfident regarding their own health (living longer than 76 years, and not getting sick in the following months) and the health of their children (children growing up healthy and strong). This finding is also in line with the literature on health problems [ 36 ]. Footnote 9 In our sample, married women and women with children are more optimistic, especially with regards to health. In contrast, women with a high school education or higher are less optimistic about health than others with less education (Table A S1 ).
We measure educational aspirations as an indicator variable that takes a value of 1 if the mother aspires for their children to achieve a high school education or higher [ 52 ]. Footnote 10 The variable takes a value of 0 if she aspires for her children to complete secondary education or lower, and 1 if her aspirations are for them to partially complete tertiary education or higher. We find that around 73% would like their children to pursue more than a high school education. These percentages are higher than those reported in a rural and poor district in India, where 32% and 18% of parents want their male and female children to graduate from high school [ 52 ], but lower than the 81% of parents in the United States who report in a nationally representative survey in 2012 that they would like their children to complete superior education [ 53 ]. Within our sample, poorer households and women with lower levels of education had lower aspirations for their children (Table A S1 ).
In general, our population shows moderate levels of internal locus of control and high levels of impatience. Table 4 contains descriptive statistics for all our behavioral predictors. Our sample is overly optimistic about general future events, and even more so about health-related events. A majority of women want their children to pursue higher education, although this percentage is low compared to representative samples in industrialized countries. Table A S2 in the appendix shows the positive correlations between internal locus of control and educational aspirations, as well as a weaker correlation between internal locus of control and general optimism bias.
We classify the outcome variables in our study as either healthcare decision-making related to the COVID-19 pandemic, or what we consider to be general health behaviors (i.e., check-ups, preventive health services, and diet/nutrition, among others). The first category reflects novel behaviors that became relevant during the COVID-19 pandemic, whereas the second category contains usual health behaviors in the population of interest. Table 5 contains descriptive statistics for both types of behavior. In behaviors related to COVID-19 (Panel A of Table 5 ), 6.01% of the women in our sample report having avoided health services for themselves or a household member for fear of contracting COVID-19, while 8.33% of women with children under five years old avoided health services for their children because of that same reason. The average COVID-19 non-pharmaceutical prevention index for women in our sample was 3.05, which indicates that the women complied with at least three prevention measures (whether always using a mask, practicing social distancing, disinfecting their hands, or disinfecting objects around them in the last seven days). Finally, 83.84% of the women said they had been vaccinated against COVID-19 or were willing to be vaccinated.
Panel B of Table 5 shows that in our sample, around 30% of women had their blood pressure taken in the preceding six months and 17% had a blood glucose level test in that same period. This suggests relatively low take-up of these preventive services. Conversely, women with children under age five are extremely compliant with prenatal visits, as almost 90% of them report having gone to at least four during their most recent pregnancy in the last five years. Regarding feeding practices, only 10.45% of mothers gave their children the recommended dosage of micronutrients in the last six months, and, on average, they served only 2.28 out of 6 iron-rich food items in the last day.
To assess the relationship between our four behavioral predictors and the healthcare decisions people make in the context of the COVID-19 pandemic, we estimate a series of analogous OLS regressions. We split up the analysis according to the nature of outcomes. First, we focus on novel healthcare decisions related to the COVID-19 pandemic. Then we analyze general healthcare decisions that are independent of the pandemic (such as using preventive health services). The main specification for these regressions is:
Where \({y}_{ifj}\) is one of our selected health outcomes for respondent i in facility f in municipality j; \({Locus}_{ifj}\) is the internal locus of control measure for respondent i in facility f in municipality j; \({Impatience}_{ifj}\) is the impatience measure for respondent i in facility f in municipality j; \({Optimism bias}_{ifj}\) is the optimism bias measure at the individual level i in facility f in municipality j; \({W}_{ifj}\) are individual controls for women; \({H}_{fj}\) are health services controls; \({\gamma }_{j}\) are municipality fixed effects; and \({\epsilon }_{ifj}\) is the error term. The coefficients of interest are \({\beta }_{1}\) , \({\beta }_{2}\) , and \({\beta }_{3}\) , which measure the degree to which each behavioral predictor is associated with the specific health outcome. For child-specific outcomes, we take a subsample that includes only mothers and modify equation (i) by adding child individual controls, and include a fourth behavioral predictor: \({Aspirations}_{ifj}\) . We use the same base specification for outcomes related to both COVID-19 and general health behaviors, except that we do not include health facility controls for general health behaviors since they have a different time frame: our health facility controls focus on how services were affected during 2020, whereas the reference period for general health behaviors is 2021. We conduct several robustness checks of the results for both sets of outcomes, assessing the individual association between each behavioral driver and outcome (Appendix Tables A3 and A4 ), sensitivity to different specifications (no controls and adding facility fixed effects), to multiple hypothesis testing, and to omitted variable bias (Appendix Tables A S5 and A S6 ), as well as to outliers (Appendix Figures A S2 and A S3 ).
Our dataset contains the following COVID-19-related outcomes: (i) avoidance of health services (for the women, child, or another household member) for fear of the pandemic; (ii) compliance with COVID-19 non-pharmaceutical prevention measures; and (iii) having been vaccinated against COVID-19 or being willing to be vaccinated. All women in the sample responded the survey items on avoidance of health services for the woman or another household member, vaccination, and compliance with prevention methods. However, only women who are mothers of children between the ages of 0 and 5 responded to the question related to avoidance of health services for the child.
Table 6 presents the results of this first set of estimations. All behavioral predictors (impatience, internal locus of control, optimism bias, and educational aspirations) are standardized with a mean of 0 and standard deviation of 1 to make their association with the outcome variables comparable. We start with impatience. The literature predicts that more impatient individuals tend to adhere less to healthcare guidelines. Indeed, we find that an increase of one standard deviation in impatience is associated with 0.118 fewer points in an index of COVID-19 non-pharmaceutical prevention measures. Internal locus of control, on the other hand, is positively associated with COVID-19 non-pharmaceutical prevention measures, COVID-19 vaccination status, and healthcare avoidance: an increase of one standard deviation in internal locus of control predicts 0.277 more points in an index of COVID-19 preventive behaviors (a 10% increase relative to the mean), a 3.4 percentage points rise in the likelihood of having been vaccinated or being willing to be vaccinated, and a 2 percentage point increase in the likelihood of avoiding health services for fear of the pandemic. These results also align with the predictions in the literature: a higher degree of internal locus of control should be associated with believing that everyone is more in control of their destiny and thus that their health status is mainly their responsibility.
Optimism bias negatively predicts whether a woman or a household member avoided going to a healthcare facility for themselves or their child for fear of COVID-19. Our interpretation of these results is that women were overly optimistic about not contracting COVID-19 during their health visit. If they are biased towards optimism about remaining healthy despite the risk of contracting COVID-19, they might still decide to go to the health center and take care of their health needs. However, optimism bias is at the same time positively associated with compliance with non-pharmaceutical prevention measures. This surprising result might be related to different types of risks and behaviors in response to them. Finally, a mother’s educational aspirations for her children are negatively associated with avoiding health services for her children because of fear of COVID-19. We find that mothers with higher aspirations for their children are 3.2 percentage points less likely to avoid or postpone healthcare services for their children, which is in line with the literature. However, this result is not robust to the inclusion of facility fixed effects, as we lose precision, but the coefficient is still similar in magnitude (Appendix Table A S5 ).
We use the following general health outcomes as general health behaviors: (i) test for hypertension in the last six months; (ii) test for diabetes in the last six months; (iii) at least four prenatal visits; (iv) children’s consumption of micronutrients in the last six months; and (v) number of iron-rich food items consumed by children. Again, it is worth noting that the number of observations in each regression will depend on the type of outcome, as some apply to all women in the sample and others just to women with children. For example, the entire sample of women responded to the survey items on hypertension and diabetes. In contrast, only women who are mothers of children between the ages of 0 and 5 responded to the child-related outcomes, except for the question related to an iron-rich diet, which was restricted to mothers of children over one year old, where most children have made the transition to solid foods.
Table 7 presents the results of this second set of estimations. We focus on associations that are below the 5% significance level, as those significant at the 10% level are not robust (Appendix Table A S6 ). We observe that impatience negatively predicts feeding children micronutrients on 60 days in a six-month period. Internal locus of control, on the other hand, is positively associated with having been tested for hypertension in the last six months and an increased number of iron-rich food items consumed by children. Notably, an increase of one standard deviation in internal locus of control is associated with an increase of 5.8 percentage points in likelihood of having a hypertension screening. This correlation likely indicates that women who believe their destiny is in their own hands will try to guarantee the best possible health status. Although we find no significant association between internal locus of control and diabetes detection, this may be because the disease is less common than hypertension. Overall, Table 7 shows only weak associations for child-related general behaviors, as these associations are sensitive to our robustness checks (Appendix Table A S6 ), in contrast to the association between locus of control and hypertension screening, which is very strong. It is unclear whether the associations are weak because the behavioral predictors we measured for women do not have explanatory value for mothers’ caregiving behavior or because we have little power to detect them since the child-related sample is smaller. The associations we found were more robust in behaviors related to COVID-19, which suggests that feelings of uncertainty and stress could enhance the predictive power of our chosen behavioral predictor and that they may play an important role in novel behaviors.
Historically, there have been clear socio-economic disparities in decision-making about the utilization of healthcare, which has always been shaped by need factors and observable drivers such as education, income, insurance status, and ability to pay. This study goes beyond traditional determinants and analyzes four types of behavioral predictors—impatience, internal locus of control, optimism bias, and aspirations—and their associations with decisions about healthcare among low-income women in El Salvador in the context of the COVID-19 pandemic.
Our results provide some novel insights. First, we find that our behavioral predictors are more significantly associated with healthcare decisions that are related to the pandemic. For example, impatience and locus of control have higher magnitudes and significance for COVID-19 prevention measurements. Especially salient is the case of optimism bias, which seems to predict less avoidance of health services for fear of the pandemic but exhibits no significant correlations with other decisions related to utilizing general health services. It is possible that the scale and nature of the event enhanced the influence of behavioral predictors on healthcare decisions to the detriment of a more rational approach to decision-making. This hypothesis is worth considering for future shocks like natural disasters, health emergencies, or situations of social unrest.
Second, most of the correlations we found align with what we would have predicted based on theory. Still, additional evidence is needed to support these conclusions, especially in a low-income setting. For instance, resembling previous literature, our study finds that, on average, higher internal locus is associated with healthier behaviors. Likewise, our study finds that women with optimism bias were less likely to avoid attending health facilities for fear of COVID-19, signaling that they were overconfident that they would not contract the disease. Moreover, impatience negatively predicts prevention measures, which denotes the tension between present costs and future health benefits. While these findings are aligned with previous research, this is one of the first studies that analyze these relationships in a low-income setting. Finally, while the behavioral predictors are significant and robust for women’s health behaviors, they are not robust in the subsample of mothers with children. From the available evidence, it is unclear whether the behavioral traits we measured for women are not relevant for health behaviors for their children or just that they have less power to detect them since the sample is smaller.
Our study has some limitations. First, since it is an observational study, we cannot rule out the presence of reverse causality, which can potentially influence the observed relationships between variables. For instance, it is not clear whether having good health might influence some of the behavioral drivers we analyze or vice-versa. Second, the generalizability of our findings may be restricted due to the specific demographic composition of our sample, which is consists exclusively of women from low-income settings. Finally, our survey was conducted in mid-2021, when El Salvador was transitioning out of lockdowns and expanding its coverage of COVID-19 vaccinations. Since this was an atypical time, it is not clear whether our findings for general health behaviors will be the same a few years after the pandemic. These limitations underscore the need for further research using diverse methodologies and broader study populations to validate and extend our findings.
Understanding people’s reasoning processes as they make healthcare decisions is key to improving policy design. Our study aims to expand the evidence on this topic with data from disadvantaged women in a developing country. To the best of our knowledge, it is also among the first to compare healthcare decisions related to the COVID-19 pandemic with those related to general health behaviors. In addition, we contribute to the literature by analyzing how these behavioral predictors affect third parties: the children of some of the women in our sample. Our results emphasize the need for further research that can provide specific strategies informed by behavioral sciences to improve health seeking behaviors and establish causal associations, which is something this study is not able to do. Our findings also shed light on the potentially effective role of behavioral strategies in improving the healthcare-seeking behaviors of the most vulnerable populations, which may have different patterns of locus of control, impatience, optimism, and aspirations than the general population.
The datasets supporting the conclusions of this article are available in the IDB Social Data repository ( https://scldata.iadb.org ). It is available from the corresponding author upon reasonable request.
This statement is based on data compiled by the Inter-American Development in a COVID-19 Situational Update report for Latin American and the Caribbean Bank as of June 15, 2021. The report is available at http://www.iadb.org/document.cfm? id=EZSHARE-2024879176-650 .
Public health facilities are the main provider in survey locations. For example, according to UNICEF’s Multiple Indicator Cluster Survey (2014), in 2014, the Ministry of Health provided around 93% of postnatal care services in rural areas, which are the main type of areas captured in our survey.
The survey is representative of women living in 14 municipalities in El Salvador: Chiltiupán, Tacuba, El Sauce, Sociedad, Ilobasco, Sensuntepeque, Monte San Juan, San Cristóbal, San Antonio Masahuat, Santa María Ostuma, Apastepeque, San Esteban Catarina, San Ildefonso, and Tecoluca.
This refers only to self-reported COVID-19 diagnoses of woman or household members by test or health personnel prior to the survey. If someone in a household had COVID-19 at the time of the survey, that household was not included in the sample due to the health security protocol.
Examples of medical supplies include oral hydration salts, zinc, antibiotics for respiratory infections and vaccines (BCG, polio, measles, mumps, rubella, rotavirus, pneumococcal conjugate, or influenza).
Author’s calculation based on the procedure described in the footnote to Table 2 and by converting scores as a proportion of 5 instead of 7, which is the scale used for the study.
This score was calculated by reversing the items associated with external locus of control.
Previous research found that countries with lower incomes usually have greater temporal discounting [ 49 ], although economic inequality and broader financial circumstances are important [ 50 ].
It is possible that health-related optimism varies considerably depending on more specific health-related risks [ 35 ].
We ask mothers: “What is the highest level of completed education you would like for your child to achieve?”
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The authors would like to thank Nicolas Ajzenman, Sebastian Bauhoff, and two anonymous IDB referees for their valuable feedback.
The Inter-American Development Bank (IDB), the Bill and Melinda Gates Foundation, and the Carlos Slim foundation provided funding for this study through the Salud Mesoamerica Initiative. Funders played no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Inter-American Development Bank, Social Protection and Health Division, 1300 New York Avenue NW, Washington, DC, USA
Pedro Bernal Lara, Giuliana Daga & Florencia Lopez Boo
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Lajos Kossuth
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PBL and FLB contributed to the study conception and design. GD and LK prepared the dataset preparation and analyzed it. The first draft of the manuscript was written by GD and LK, with subsequent substantial revisions by PBL and FLB. All authors have read and approved the final manuscript.
Correspondence to Pedro Bernal Lara .
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The data that supports the findings of this study is property of the Inter-American Development Bank. Data collection was approved by the Health Ministry of El Salvador (MINSAL). All procedures performed to collect the data used in this study followed the usual ethical standards. Informed consent was requested from the household head and each independent survey respondent.
No identifiable data were included in the analysis, so no consent for publication had to be requested.
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Lara, P.B., Daga, G., Kossuth, L. et al. Do behavioral drivers matter for healthcare decision-making during crises? A study of low-income women in El Salvador during the COVID-19 pandemic. BMC Public Health 24 , 2122 (2024). https://doi.org/10.1186/s12889-024-19039-y
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DOI : https://doi.org/10.1186/s12889-024-19039-y
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Examples of literature reviews. Step 1 - Search for relevant literature. Step 2 - Evaluate and select sources. Step 3 - Identify themes, debates, and gaps. Step 4 - Outline your literature review's structure. Step 5 - Write your literature review.
Writing a Literature Review. 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 ...
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 ...
Literature reviews take time. Here is some general information to know before you start. VIDEO -- This video is a great overview of the entire process. (2020; North Carolina State University Libraries) --The transcript is included. --This is for everyone; ignore the mention of "graduate students". --9.5 minutes, and every second is important.
Okay - with the why out the way, let's move on to the how. As mentioned above, writing your literature review is a process, which I'll break down into three steps: Finding the most suitable literature. Understanding, distilling and organising the literature. Planning and writing up your literature review chapter.
Your literature review format depends heavily on the kind of manuscript you are writing — an entire chapter in case of doctoral theses, a part of the introductory section in a research article, to a full-fledged review article that examines the previously published research on a topic.
The best proposals are timely and clearly explain why readers should pay attention to the proposed topic. It is not enough for a review to be a summary of the latest growth in the literature: the ...
Demonstrate your knowledge of the research topic. Identify the gaps in the literature and show how your research links to these. Provide the foundation for your conceptual framework (if you have one) Inform your own methodology and research design. To achieve this, your literature review needs a well-thought-out structure.
Writing a literature review requires a range of skills to gather, sort, evaluate and summarise peer-reviewed published data into a relevant and informative unbiased narrative. Digital access to research papers, academic texts, review articles, reference databases and public data sets are all sources of information that are available to enrich ...
This step-by-step guide on how to write an excellent literature review covers all aspects of planning and writing literature reviews for academic papers and theses. How to write a systematic literature review [9 steps] ... This guide covers the definition, purpose, and format of a literature review.
The literature review opening/introduction section; The theoretical framework (or foundation of theory) The empirical research; The research gap; The closing section; We then progress to the sample literature review (from an A-grade Master's-level dissertation) to show how these concepts are applied in the literature review chapter. You can ...
Here, I provide tips on planning and writing a review article, with examples of well-crafted review articles published in The FEBS Journal. The advice given here is mostly relevant for the writing of a traditional literature-based review rather than other forms of review such as a systematic review or meta-analysis, which have their own ...
This page is designed to assist you in writing an annotated bibliography
he simplest thing of all—structure. Everything you write has three components: a beginning, a middle and an e. d and each serves a different purpose. In practice, this means your review will have an introduction, a main body where you review the literature an. a conclusion where you tie things up.
Your report, in addition to detailing the methods, results, etc. of your research, should show how your work relates to others' work. A literature review for a research report is often a revision of the review for a research proposal, which can be a revision of a stand-alone review. Each revision should be a fairly extensive revision.
Steps for Conducting a Lit Review; Finding "The Literature" Organizing/Writing; APA Style This link opens in a new window; Chicago: Notes Bibliography This link opens in a new window; MLA Style This link opens in a new window; Sample Literature Reviews. Sample Lit Reviews from Communication Arts; Have an exemplary literature review? Get Help!
2. MOTIVATE YOUR RESEARCH in addition to providing useful information about your topic, your literature review must tell a story about how your project relates to existing literature. popular literature review narratives include: ¡ plugging a gap / filling a hole within an incomplete literature ¡ building a bridge between two "siloed" literatures, putting literatures "in conversation"
Literature reviews are in great demand in most scientific fields. Their need stems from the ever-increasing output of scientific publications .For example, compared to 1991, in 2008 three, eight, and forty times more papers were indexed in Web of Science on malaria, obesity, and biodiversity, respectively .Given such mountains of papers, scientists cannot be expected to examine in detail every ...
The fundamental rationale of writing a review article is to make a readable synthesis of the best literature sources on an important research inquiry or a topic. This simple definition of a review article contains the following key elements: The question (s) to be dealt with.
A synthesis matrix helps you record the main points of each source and document how sources relate to each other. After summarizing and evaluating your sources, arrange them in a matrix or use a citation manager to help you see how they relate to each other and apply to each of your themes or variables. By arranging your sources by theme or ...
How to create Literature reviews. Growth mindset in high school mathematics: A review of the literature since 2007 Growth mindset has received more focus in schools in the past fifteen years as a possible way to improve various educational outcomes. There are important possible benefits if students believe in the malleability of intelligence and the potential to improve in ability and various ...
Please select a topic for written discussion.Focus specifically on the concerns related to your research study in that area.Identify and gather the appropriate sources.Determine the range of sources required.Create Your OverviewCreate Your Initial DraftRevise and ModifyCreate a literature review in the form of a paper.
Suggests questions to drive primary research based on previous studies. Here are some example topics for writing literature reviews: Exploring racism in "To Kill a Mockingbird," "The Adventures of Huckleberry Finn," and "Uncle Tom's Cabin." Isolationism in "The Catcher in the Rye," "Frankenstein," and "1984".
Articles commonly fall into one of three main categories: Full papers, Communications and Reviews. However, each journal will have further, specific article types, so you should always refer to a journal's specific guidelines while preparing your manuscript.. Full papers are original, unpublished primary research.Extensions of work that has been published previously in short form such as a ...
Section 2 provides a hypothesis development and literature review. Section 3 describes the methodology and measures used in this study. Section 4 presents the analysis and results. Section 5 presents the discussion. Section 6 presents the conclusions of the study. Section 7 outlines the theoretical and practical implications of the study.
Thus, to comprehend how the academic community has been treating such concern a review and synthesis of the literature was undertaken in an identified sample of 986 articles covering the period 1999-2020 (last year included), ultimately down selecting the most relevant 373 peer reviewed articles exploiting a solid methodology in the preparation ...
Background The increase in mpox incidence underscores the crucial need to understand and effectively address prevention, early detection, and agile response to this disease. Therefore, the present study aims to determine the knowledge and attitude towards mpox. Methods A systematic review and comprehensive literature meta-analysis were conducted using prominent databases such as PubMed, Scopus ...
Background/Objectives: This paper reviews three cases of rhegmatogenous retinal detachment (RRD) with giant retinal tear (GRT), focusing on surgical management and outcomes, and synthesizes the current literature on the subject. Methods: We retrospectively analyzed three cases of male patients diagnosed with RRD with GRT at our hospital from April 2022 to November 2023. The patients, aged 57 ...
Abstract Understanding health-seeking behaviors and their drivers is key for governments to manage health policies. A growing body of research explores the role of cognitive biases and heuristics in health and care-seeking behaviors, but little is known about how a context of heightened anxiety and uncertainty might influence these behavioral drivers. This study analyzes the association ...