The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence
Open accessAbstract
BACKGROUND: Recently there has been a significant increase in the number of systematic reviews addressing questions of prevalence. Key features of a systematic review include the creation of an a priori protocol, clear inclusion criteria, a structured and systematic search process, critical appraisal of studies, and a formal process of data extraction followed by methods to synthesize, or combine, this data. Currently there exists no standard method for conducting critical appraisal of studies in systematic reviews of prevalence data. METHODS: A working group was created to assess current critical appraisal tools for studies reporting prevalence data and develop a new tool for these studies in systematic reviews of prevalence. Following the development of this tool it was piloted amongst an experienced group of sixteen healthcare researchers. RESULTS: The results of the pilot found that this tool was a valid approach to assessing the methodological quality of studies reporting prevalence data to be included in systematic reviews. Participants found the tool acceptable and easy to use. Some comments were provided which helped refine the criteria. CONCLUSION: The results of this pilot study found that this tool was well-accepted by users and further refinements have been made to the tool based on their feedback. We now put forward this tool for use by authors conducting prevalence systematic reviews.
AI snapshot
Written from the paper’s full text.
TL;DR
The paper describes development and pilot testing of a 10-item critical appraisal tool for studies reporting prevalence data in systematic reviews. In a pilot with 16 experienced healthcare researchers, the tool was rated acceptable, easy to use, timely, and valid by all but one participant, though further psychometric testing was recommended.
Key findings
- The working group found no standard method for critically appraising prevalence studies and developed a tool addressing representative sampling, recruitment, sample size, description of subjects/setting, data coverage, objective measurement, reliability, statistical analysis, confounding, and subpopulation criteria.
- Among 16 pilot participants, mean ease of use was 3.63 on a 5-point scale, with 75% rating it 4 (“easy”); mean acceptability was 4.33, with all participants rating 4 or 5; mean timeliness was 3.94, with 88% rating 4 (“acceptable”).
- All participants except 1 viewed the tool as a valid quality appraisal checklist for prevalence data.
- Feedback led to changes in question order and supporting information, but no changes were made to the individual questions; the tool was to be incorporated into the next Joanna Briggs Institute systematic review package.
Methods
- A Joanna Briggs Institute working group searched for systematic reviews of prevalence data and existing critical appraisal tools, then developed a new tool based on identified criteria and their own knowledge/research; the tool was internally trialed and refined.
- The tool was piloted at the 2013 Joanna Briggs Institute convention in Adelaide in October; attendees appraised a cross-sectional study using the new tool and completed a short survey on face validity, ease of use, acceptability, timeliness, and areas for improvement.
- Sixteen workshop participants completed the task and survey; 13 had an academic/research background, 2 had a health background, and 1 had both, with average research experience of 11 years (range 2.5–30 years).
Limitations
- The paper states the tool needs further testing in a larger-scale study to assess other clinimetric properties, particularly construct validity and inter-rater reliability.
- Evident from the text: the pilot assessed only face validity, ease of use, acceptability, and timeliness, with no formal inter-rater reliability or construct validity testing.
- Evident from the text: the pilot used a small convenience sample of 16 workshop attendees, mostly with academic/research backgrounds, which may limit generalizability.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 5 cited sources checked · 0 supported · 0 flagged
- Findingown data
The major area where prevalence reviews were disparate was in their conduct of critical appraisal or quality assessment of included studies.
“The group identified that the major area where prevalence reviews were disparate was in their conduct of critical appraisal or quality assessment of included studies.”
Quote in the paperSubstantial claim - Findingown data
The new tool is simple.
“Our tool also has the advantage of being simple, easy and quick as shown during the pilot testing.”
Quote in the paperNot a substantial claim - Findingnone given
The current checklists identified from the authors' search did not sufficiently address important quality issues in prevalence studies.
“We have developed this tool as we did not feel that any of the current checklists identified from our search sufficiently addressed important quality issues in prevalence studies.”
Quote in the paperSubstantial claim - Findingown data
In the pilot test, the tool had timeliness to complete.
“A pilot test of this tool amongst a group of experienced healthcare professionals and researchers found that this tool had face validity and high levels of acceptability, ease of use and timeliness to complete.”
- Also stated in: § Discussion · plain
“Our tool also has the advantage of being simple, easy and quick as shown during the pilot testing.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingown data
The tool was easy to use for pilot participants.
“Participants found the tool acceptable and easy to use.”
- Also stated in: § 10. · plain
“participants providing a rating of 4, corresponding to 'easy' .”
Quote in the paperNot a substantial claim - Also stated in: § 10. · plain
- Findingown data
The working group's search identified a number of critical appraisal tools used to assess studies reporting prevalence data, including JBI's Descriptive/Case series tool, Cochrane Collaboration tools, and CASP tools.
“A number of tools were identified including the Joanna Briggs Institute's Descriptive/Case series critical appraisal tool.”
- Also stated in: § Developing the Tool · plain
“Critical appraisal tools from the Cochrane Collaboration and the Critical Appraisal Skills Program (CASP) were also identified.”
Quote in the paperSubstantial claim - Also stated in: § Developing the Tool · plain
- Findingown data
In a pilot test among experienced healthcare professionals and researchers, the tool had face validity.
“A pilot test of this tool amongst a group of experienced healthcare professionals and researchers found that this tool had face validity and high levels of acceptability, ease of use and timeliness to complete.”
Quote in the paperSubstantial claim - Findingown data
All except one of the sixteen workshop participants viewed the tool as a valid quality appraisal checklist for prevalence data.
“Out of all the participants, all except 1 viewed the tool as a valid quality appraisal checklist for prevalence data (Table 4).”
Quote in the paperNot a substantial claim - Findingown data
In the pilot test, the tool had ease of use.
“A pilot test of this tool amongst a group of experienced healthcare professionals and researchers found that this tool had face validity and high levels of acceptability, ease of use and timeliness to complete.”
- Also stated in: § Discussion · plain
“Our tool also has the advantage of being simple, easy and quick as shown during the pilot testing.”
Quote in the paperNot a substantial claim - Also stated in: § Discussion · plain
- Findingnone given
Currently there is no formal guidance for authors wishing to conduct a review of prevalence.
“However, currently there does not appear to be any formal guidance for authors wishing to conduct a review of prevalence.”
Quote in the paperNot a substantial claim- Rests on an assumption: The working group's search for systematic reviews of prevalence was comprehensive enough to conclude that no formal guidance exists.
- Findingreasoning
There is significant variability in the methods used to conduct systematic reviews of prevalence.
“Consequently, there is significant variability in the methods used to conduct these reviews.”
Quote in the paperSubstantial claim- Rests on an assumption: The working group's search for systematic reviews of prevalence was comprehensive enough to conclude that no formal guidance exists.
- Findingreasoning
A new tool assessing validity and quality indicators specific to issues of prevalence has been developed and proposed for studies reporting prevalence data.
“Due to this, a new tool assessing validity and quality indicators specific to issues of prevalence has been developed.”
- Also stated in: § Conclusion · plain
“Following a search of the literature a new tool has been proposed that can be used for studies reporting prevalence data, developed by a working party within the Joanna Briggs Institute.”
- Also stated in: § Implications for policy makers · plain
“This article proposes a new tool that can be used during the conduct of these types of systematic reviews to critically appraise studies to ensure that their results are valid.”
Quote in the paperSubstantial claim- Rests on an assumption: There has been substantial variability in how studies reporting prevalence data are critically appraised.
- Rests on an assumption: Systematic reviews of prevalence and incidence data are becoming increasingly important and popular.
- Also stated in: § Conclusion · plain
- Findingown data
In the pilot test, the tool had high acceptability.
“A pilot test of this tool amongst a group of experienced healthcare professionals and researchers found that this tool had face validity and high levels of acceptability, ease of use and timeliness to complete.”
- Also stated in: § Conclusion · boosted
“The results of this pilot study found that this tool was well-accepted by users and further refinements have been made to the tool based on their feedback.”
Quote in the paperSubstantial claim - Also stated in: § Conclusion · boosted
- Findingown data
Participant feedback led to refinements to the tool.
“further refinements have been made to the tool based on their feedback.”
- Also stated in: § 10. · plain
“There were a number of suggestions provided for refinement and improvement of the tool.”
Quote in the paperNot a substantial claim - Also stated in: § 10. · plain
- Findingown data
The tool was acceptable or well-accepted by pilot participants.
“Participants found the tool acceptable and easy to use.”
- Also stated in: § 10. · plain
“For the acceptability of the tool, the mean score was 4.33, with all participants giving either a ranking of 4 (acceptable) or 5 (very acceptable).”
- Also stated in: § Abstract · boosted
“The results of this pilot study found that this tool was well-accepted by users and further refinements have been made to the tool based on their feedback.”
Quote in the paperSubstantial claim - Also stated in: § 10. · plain
- Findingown data
In the last five years, there has been a substantial increase in the number of systematic reviews addressing questions of prevalence.
“In the last five years, there has been a substantial increase in the number of systematic reviews addressing questions of prevalence (Figure 1).”
Quote in the paperSubstantial claim - Interpretationreasoning
The new checklist can be used across different study designs, not just cross-sectional studies but all studies that might report prevalence data.
“This checklist addresses critical issues of internal and external validity that must be considered when assessing validity of prevalence data that can be used across different study designs (not just cross-sectional studies but all studies that might report prevalence data).”
Quote in the paperSubstantial claim - Premisecitation
Prevalence data can be sourced from various study designs, including randomized controlled trials.
“Prevalence data can be sourced from various study designs, even randomized controlled trials (11);”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11]
Not checked in the free run.
- Interpretationown data
The pilot tool was a valid approach to assessing the methodological quality of studies reporting prevalence data to be included in systematic reviews.
“The results of the pilot found that this tool was a valid approach to assessing the methodological quality of studies reporting prevalence data to be included in systematic reviews.”
Quote in the paperSubstantial claim- Rests on an assumption: User acceptance and face validity of the tool indicate its validity as a quality appraisal checklist.
- Rests on an assumption: The tool's criteria cover all important aspects of methodological quality for prevalence studies.
- Interpretationreasoning
Criteria regarding the use of intention-to-treat analysis in critical appraisal checklists for randomized controlled trials are not a true quality indicator for questions of prevalence.
“For example, criteria regarding the use of an intention-to-treat analysis as often seen in critical appraisal checklists for randomized controlled trials are not a true quality indicator for questions of prevalence.”
Quote in the paperSubstantial claim - Interpretationreasoning
The new checklist addresses critical issues of internal and external validity that must be considered when assessing validity of prevalence data.
“This checklist addresses critical issues of internal and external validity that must be considered when assessing validity of prevalence data that can be used across different study designs (not just cross-sectional studies but all studies that might report prevalence data).”
- Also stated in: § Implications for policy makers · plain
“This tool guides the assessment of internal and external validity of studies reporting prevalence data.”
Quote in the paperSubstantial claim - Also stated in: § Implications for policy makers · plain
- Interpretationreasoning
None of the identified critical appraisal tools were complete and ideal for use during assessment of quality in systematic reviews of prevalence data.
“Although many of these checklists identified important criteria, it was felt by the group that none of these tools were complete and ideal for use during assessment of quality during the systematic review process.”
Quote in the paperSubstantial claim - Premisereasoning
The new tool includes a sample size criterion that is not included in the Hoy et al. checklist.
“For example, we provide a criteria regarding sample size which is not included in the Hoy et al. checklist.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20]
Not checked in the free run.
- Classified as probably not a substantial claim. 11
- May combine two claims. 4
- The quote only partly states this claim. 6
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe average time spent working in research among participants was 11 years, with a minimum of 2.5 years and a maximum of 30 years.
“The average time spent working in research was 11 years, with the minimum being 2.5 years and the maximum experience being 30 years.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe refinements consisted of changes in the order of questions and supporting information, with no changes to individual questions.
“These comments resulted in some changes in the order of the questions of the tool and the supporting information used to assist in judging criteria, although no changes were made to the individual questions.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe tool was timely to complete for pilot participants.
“For timeliness, the mean score was 3.94, with 88% providing a score of 4 (acceptable).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataOf the sixteen participants, 13 had an academic or research background, 2 had a health background, and one had both.
“Of the 16, 13 participants stated they had an academic/research background, 2 said they had a health background, and one said they had both.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenCurrently there is no standard method for conducting critical appraisal of studies in systematic reviews of prevalence data.
“Currently there exists no standard method for conducting critical appraisal of studies in systematic reviews of prevalence data.”
Quote in the paperNot a substantial claim- Rests on an assumption: The working group's search for critical appraisal tools was comprehensive enough to conclude that no standard method exists.
The quote only partly states this claim.
Findingown dataThe mean acceptability was 4.33 (95% CI 4.06 to 4.60) on a 5-point Likert scale.
“| Arithmetic mean | 11.37 | 3.63 | 4.33 | 3.94 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% lower confidence limit | 6.94 | 3.24 | 4.06 | 3.63 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% upper confidence limit | 15.80 | 4.00 | 4.60 | 4.24 |”
Quote in the paperNot a substantial claim- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Findingown dataThe mean time was 3.94 (95% CI 3.63 to 4.24) on a 5-point Likert scale.
“| Arithmetic mean | 11.37 | 3.63 | 4.33 | 3.94 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% lower confidence limit | 6.94 | 3.24 | 4.06 | 3.63 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% upper confidence limit | 15.80 | 4.00 | 4.60 | 4.24 |”
Quote in the paperNot a substantial claim- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
The quote only partly states this claim.
Findingown dataThe mean ease of tool use was 3.63 (95% CI 3.24 to 4.00) on a 5-point Likert scale.
“| Arithmetic mean | 11.37 | 3.63 | 4.33 | 3.94 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% lower confidence limit | 6.94 | 3.24 | 4.06 | 3.63 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% upper confidence limit | 15.80 | 4.00 | 4.60 | 4.24 |”
Quote in the paperNot a substantial claim- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Findingown dataThe mean experience was 11.37 (95% CI 6.94 to 15.80).
“| Arithmetic mean | 11.37 | 3.63 | 4.33 | 3.94 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% lower confidence limit | 6.94 | 3.24 | 4.06 | 3.63 |”
- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
“| 95.00% upper confidence limit | 15.80 | 4.00 | 4.60 | 4.24 |”
Quote in the paperNot a substantial claim- Also stated in: § 10. Were subpopulations identified using objective criteria? · plain
Probably not a substantial claim: may not pass S1 (asserted), S3 (load-bearing), S4 (based). The quote only partly states this claim.
Findingnone givenThe survey pilot included 16 cases for ease of tool use and time.
“| Number of cases | 15 | 16 | 15 | 16 |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.
Findingown dataThe survey pilot included 15 cases for experience and acceptability.
“| Number of cases | 15 | 16 | 15 | 16 |”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataSixteen workshop participants completed the critical appraisal task and survey.
“Sixteen workshop participants completed the critical appraisal task and survey.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe systematic review is well-accepted as the ideal method to summarize literature relating to a social or healthcare topic.
“The systematic review of evidence has been proposed and is now well-accepted as the ideal method to summarize the literature relating to a certain social or healthcare topic (2,3).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [2]
Not checked in the free run.
- cites [3]
Not checked in the free run.
- Rests on an assumption: Policy-makers are often faced with conflicting reports of disease prevalence in the literature.
May combine two claims.
PremisereasoningThe Hoy et al. tool contains similar questions to the new tool but there are important differences.
“Some of the tools [most notably the tool refined by Hoy et al. (20)] contain similar questions to our tool but there are important differences.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [20]
Not checked in the free run.
The paper relies on this without support.
Policy-makers are often faced with conflicting reports of disease prevalence in the literature.
“However, policy-makers are often faced with conflicting reports of disease prevalence in the literature.”
The paper relies on this without support.
User acceptance and face validity of the tool indicate its validity as a quality appraisal checklist.
“The results of the pilot found that this tool was a valid approach to assessing the methodological quality of studies reporting prevalence data to be included in systematic reviews.”
“along with a short survey that was developed to establish the face validity, ease of use, acceptability and timeliness (i.e.time taken to complete) of the tool, and feedback on areas for improvement (23).”
The paper relies on this without support.
The working group's search for critical appraisal tools was comprehensive enough to conclude that no standard method exists.
“Currently there exists no standard method for conducting critical appraisal of studies in systematic reviews of prevalence data.”
“The group then searched for critical appraisal tools that have been used to assess studies reporting on prevalence data.”
The paper relies on this without support.
The tool's criteria cover all important aspects of methodological quality for prevalence studies.
“The results of the pilot found that this tool was a valid approach to assessing the methodological quality of studies reporting prevalence data to be included in systematic reviews.”
“Based on a review of these criteria and our own knowledge and research we developed a tool specifically for use in systematic reviews of prevalence data.”
The paper relies on this without support.
The working group's search for systematic reviews of prevalence was comprehensive enough to conclude that no formal guidance exists.
“However, currently there does not appear to be any formal guidance for authors wishing to conduct a review of prevalence.”
“The working party began by conducting a search for systematic reviews of prevalence data to determine how the methodological quality of studies included in these reviews were assessed.”
The paper relies on this without support.
There has been substantial variability in how studies reporting prevalence data are critically appraised.
“Until now there has been substantial variability in how studies reporting prevalence data are critically appraised.”
The paper relies on this without support.
Systematic reviews of prevalence and incidence data are becoming increasingly important and popular.
“Systematic reviews of prevalence and incidence data are becoming increasingly important as decision makers realize their usefulness in informing policy and practice.”
“Prevalence systematic reviews are becoming increasingly popular within the research community.”
The paper relies on this without support.
Many health problems are not easily diagnosed or defined, and some measures may not be capable of including or excluding appropriate levels or stages of the health problem.
“Many health problems are not easily diagnosed or defined and some measures may not be capable of including or excluding appropriate levels or stages of the health problem.”
The paper relies on this without support.
If outcomes are assessed using observer-reported or self-reported scales, the risk of over- or under-reporting is increased, and objectivity is compromised.
“If the outcomes were assessed using observer reported, or self-reported scales, the risk of over-or under-reporting is increased, and objectivity is compromised.”
The paper relies on this without support.
Validated measurement tools have a significant impact on outcome assessment validity.
“Importantly, determine if the measurement tools used were validated instruments as this has a significant impact on outcome assessment validity.”
The paper relies on this without support.
Considerable judgment is required to determine the presence of some health outcomes.
“Considerable judgment is required to determine the presence of some health outcomes.”
The paper relies on this without support.
Differing methods of analysis are based on differing assumptions about the data and how it will respond.
“differing methods of analysis are based on differing assumptions about the data and how it will respond.”
The paper relies on this without support.
Prevalence rates found in studies only provide estimates of the true prevalence of a problem in the larger population.
“Prevalence rates found in studies only provide estimates of the true prevalence of a problem in the larger population.”
The paper relies on this without support.
Since some subgroups are very small, 95% confidence intervals are usually given.
“Since some subgroups are very small, 95% confidence intervals are usually given.”
The paper relies on this without support.
Incidence and prevalence studies often draw or report findings regarding the differences between groups.
“Incidence and prevalence studies often draw or report findings regarding the differences between groups.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Each included study underwent quality assessment using the Joanna Briggs Institute (JBI) critical appraisal tools.
“Each study included in the systematic review underwent a quality assessment to evaluate the research methodology employed in each study to ensure the reliability and validity of its findings. The Joanna Briggs Institute (JBI) critical appraisal tools, widely acknowledged and reliable for quality assessment, were used to investigate each study [17].”
From Malaria in pregnancy: Meta-analyses of prevalence and associated complications (2024) · cites this paper as [17]
The Developing the Tool and Conclusion sections identify a JBI critical appraisal tool intended for assessing studies in prevalence systematic reviews. However, the Discussion says its inter-rater reliability still needs testing, so this paper does not establish the citing sentence’s description of the tool as reliable. Whether the citing authors used it for every included study is their own methodological report, not a finding attributed to this source. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe Joanna Briggs Institute Critical Appraisal Checklist and MMAT have been previously validated.
“both have been previously validated [23, 24].”
From What are the barriers, facilitators and interventions targeting help-seeking behaviours for common mental health problems in adolescents? A systematic review (2020) · cites this paper as [23]
The Pilot testing and Discussion sections report that the Joanna Briggs Institute prevalence checklist had face validity in a pilot test. The Discussion also says that its construct validity and inter-rater reliability still needed testing, so the unqualified claim that it had been validated overstates this source. This paper does not establish validation of MMAT. (LLM, conf=0.88)
Experimental — accuracy not yet measuredStudy quality was assessed with the Joanna Briggs Institute prevalence critical appraisal tool, with two reviewers independently conducting assessment and discrepancies resolved with a third reviewer.
“Two reviewers independently conducted the quality assessment using the JBI tool, with any discrepancies resolved through discussion with a third reviewer.”
From Adherence to PCSK9 Inhibitors in Clinical Practice (2026) · cites this paper as [18]
Two reviewers independently assessed risk of bias and study quality of each included study with the adjusted Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data.
“Two reviewers (MD and CS) independently assessed the risk of bias/ study quality of each included study with the adjusted Joanna Briggs Institute Critical Appraisal Checklist for Studies Reporting Prevalence Data (Munn et al., 2014).”
From Prevalence of attention-deficit/hyperactivity disorder in older adults: a systematic review and meta-analysis (2020) · cites this paper as Munn et al., 2014
Tropical climates with appropriate temperature, humidity, and rainfall encourage endemicity of malaria because they are conducive to reproduction of the parasite within Anopheles mosquitoes, which are native to these environments.
“Tropical climates with appropriate temperature, humidity, and rainfall conditions encourage endemicity of the disease as they are conducive to the reproduction of the parasite within the anopheles’ mosquito, which is itself native to these environments [17].”
From Malaria in pregnancy: Meta-analyses of prevalence and associated complications (2024) · cites this paper as [17]
The Introduction and the section on sample-size adequacy discuss measuring and appraising disease prevalence, not malaria transmission. Searches for malaria, Anopheles, climate conditions, and parasite reproduction found no passage addressing the claim. (LLM, conf=0.78)
Experimental — accuracy not yet measured
The JBI critical appraisal tool has been formally evaluated and is increasingly used across systematic reviews of prevalence.
“we urge reviewers to refer to the JBI critical appraisal tool, [4] which has been formally evaluated and is increasingly used across these types of reviews.”
From How are systematic reviews of prevalence conducted? A methodological study (2020) · cites this paper as [4]
The quality and risk of bias of included studies was assessed using the Prevalence Critical Appraisal Instrument (PCAI).
“The quality and risk of bias of included studies was assessed using the Prevalence Critical Appraisal Instrument (PCAI) which is designed specifically for assessing prevalence studies 25 .”
From Anxiety in Informal Dementia Carers: A Meta-Analysis of Prevalence (2020) · cites this paper as [25]
Environmental factors can have a substantial impact on the prevalence or incidence of a condition.
“Environmental factors can have a substantial impact on the prevalence or incidence of a condition so it is important that authors define the context or specific setting relevant to their review question [15, 29].”
From What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences (2018) · cites this paper as [29]
Prevalence or incidence reviews enable governments, policy makers, health professionals and the general population to inform the development and delivery of health services and evaluate changes and trends in diseases over time.
“These types of reviews enable governments, policy makers, health professionals and the general population to inform the development and delivery of health services and evaluate changes and trends in diseases over time [15, 29].”
From What kind of systematic review should I conduct? A proposed typology and guidance for systematic reviewers in the medical and health sciences (2018) · cites this paper as [29]
Cites
Two new Later Stone Age sites from the Final Pleistocene in the Falémé Valley, eastern Senegal
Ndiaye, M., Lespez, L., Tribolo, C., Rassé, M., Hadjas, I., Davidoux, S., Huysecom, É., & Douze, K. (2024) · Monash University Research Portal (Monash University) · doi:10.3929/ethz-b-000667478 · Cited by 24,015 · see citing works
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040297 · Cited by 8,613 · cited 2× · see citing works
“(STROBE) Checklist (18) 22 Targeted towards reporting”
BackgroundVandenbroucke, J. P., Elm, E. V., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & initiative, F. T. S. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-8-200710160-00010-w1 · Cited by 3,543 · see citing works
Hoy, D., Brooks, P., Woolf, A., Blyth, F., March, L., Bain, C., Baker, P., Smith, E., & Buchbinder, R. (2012) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2011.11.014 · Cited by 2,555 · see citing works
Practical Issues in Calculating the Sample Size for Prevalence Studies
Naing, L., & Winn, T. (2006) · Cited by 1,441 · see citing works
McGrath, J., Saha, S., Welham, J., El Saadi, O., MacCauley, C., & Chant, D. (2004) · BMC Medicine · doi:10.1186/1741-7015-2-13 · Cited by 1,072 · see citing works
Biostatistics: A Foundation for Analysis in the Health Sciences.
Marriott, F. H. C., & Daniel, W. W. (1984) · Biometrics · doi:10.2307/2530782 · Cited by 760 · see citing works
Bahekar, A., Singh, S., Saha, S. A., Molnár, J., & Arora, R. (2007) · American Heart Journal · doi:10.1016/j.ahj.2007.06.037 · Cited by 699 · see citing works
Critical appraisal of the health research literature: prevalence or incidence of a health problem.
Loney, P., Chambers, L. W., BENNETT, K. J., Roberts, J. G., & Stratford, P. W. (1998) · PubMed · Cited by 550 · see citing works
Mirza, İ., & Jenkins, R. (2004) · BMJ · doi:10.1136/bmj.328.7443.794 · Cited by 532 · see citing works
Munn, Z., Tufănaru, C., & Aromataris, E. (2014) · AJN American Journal of Nursing · doi:10.1097/01.naj.0000451683.66447.89 · Cited by 529 · see citing works
Self-citationPre- and postnatal psychological wellbeing in Africa: A systematic review
Sawyer, A., Ayers, S., & Smith, H. E. (2009) · Journal of Affective Disorders · doi:10.1016/j.jad.2009.06.027 · Cited by 308 · see citing works
Balancing the evidence: incorporating the synthesis of qualitative data into systematic reviews
Pearson, A. (2004) · JBI Reports · doi:10.1111/j.1479-6988.2004.00008.x · Cited by 305 · see citing works
Qualitative Research and Cochrane Reviews
Noyes, J., Popay, J., Pearson, A., Hannes, K., & Booth, A. (2008) · Wiley eBooks · doi:10.1002/9780470712184.ch20 · Cited by 291 · see citing works
The art of quality assessment of RCTs included in systematic reviews
Verhagen, A. P., de Vet, H. C. W., de Bie, R. A., Boers, M., & van den Brandt, P. A. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00360-7 · Cited by 237 · see citing works
Essential Epidemiology: An Introduction for Students and Health Professionals
Webb, P. M., & Bain, C. (2012) · Cited by 209 · see citing works
Lancker, A. V., Velghe, A., Hecke, A. V., Verbrugghe, M., Noortgate, N. V. D., Grypdonck, M. H. F., Verhaeghe, S. T. L., Bekkering, G. E., & Beeckman, D. (2013) · Journal of Pain and Symptom Management · doi:10.1016/j.jpainsymman.2013.02.016 · Cited by 177 · see citing works
Pearson, A., Jordan, Z., & Munn, Z. (2012) · Nursing Research and Practice · doi:10.1155/2012/792519 · Cited by 167 · see citing works
Self-citationEssential Epidemiology: An Introduction for Students and Health Professionals
Schoonhoven, L. (2006) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2006.01567.x · Cited by 105 · see citing works
The prevalence of onychomycosis in psoriatic patients: a systematic review
Klaassen, K. M. G., Dulak, M. G., van de Kerkhof, P. C. M., & Pasch, M. C. (2013) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.12239 · Cited by 89 · see citing works
Incidence of Type 2 Diabetes in Japan: A Systematic Review and Meta-Analysis
Goto, A., Goto, M., Noda, M., & Tsugane, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074699 · Cited by 55 · see citing works
Synthesizing Qualitative Evidence
Pearson, A., Robertson-Malt, S., & Rittenmeyer, L. (2011) · Adelaide Research & Scholarship (AR&S) (University of Adelaide) · Cited by 47 · see citing works
Lim, E. S., Ko, Y. K., & Ban, K. O. (2012) · Journal of Advanced Nursing · doi:10.1111/jan.12013 · Cited by 24 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- The Joanna Briggs Institute. Joanna Briggs Institute Reviewers' Manual: 2011 edition. Adelaide: The Joanna Briggs Institute; 2011.
- Munn Z, Moola S, Lisy K, Riitano D. The Systematic Review of Prevalence and Incidence Data The Joanna Briggs Institute Reviewer's Manual 2014. Australia: The Joanna Briggs Institute; 2014.
Cited by
Sorted by citations
Munn, Z., Moola, S., Lisy, K., Riitano, D., & Tufanaru, C. (2015) · International Journal of Evidence-Based Healthcare · doi:10.1097/xeb.0000000000000054 · Cited by 3,131 · see citing works
“Recently, there has been a substantial increase in the number of published systematic reviews of prevalence and incidence data.(8) Across these reviews, there is considerable variation in terms of the approaches to inclusion criteria, critical appraisal, data extraction, and data synthesis.”
BackgroundMethodSelf-citationBozdag, G., Mumusoglu, S., Zengin, D., Karabulut, E., & Yildiz, B. O. (2016) · Human Reproduction · doi:10.1093/humrep/dew218 · Cited by 1,526 · see citing works
“This appraisal tool was inspired by recent protocols produced by Munn et al. (2014) and Hoy et al. (2012).”
MethodSavoldi, A., Carrara, E., Graham, D. Y., Conti, M., & Tacconelli, E. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.07.007 · Cited by 1,280 · see citing works
“) independently, using an adapted version of the tool proposed by the Joanna Briggs Institute for critical appraisal of prevalence studies (Supplementary Table 1).(19) A score ranging from 0 to 8 points was attributed to each study (>5 points: high quality, 4-5 points: medium quality, <4 points: low quality).”
MethodMunn, Z., Stern, C., Aromataris, E., Lockwood, C., & Jordan, Z. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0468-4 · Cited by 1,164 · see citing works
“Environmental factors can have a substantial impact on the prevalence or incidence of a condition so it is important that authors define the context or specific setting relevant to their review question [15, 29].”
BackgroundSelf-citationPopova, S., Lange, S., Probst, C., Gmel, G., & Rehm, J. (2017) · The Lancet Global Health · doi:10.1016/s2214-109x(17)30021-9 · Cited by 937 · see citing works
Prevalence of temporomandibular joint disorders: a systematic review and meta-analysis
Valesan, L. F., Da-Cas, C. D., Réus, J. C., Denardin, A. C. S., Garanhani, R. R., Bonotto, D., Januzzi, E., & de Souza, B. D. M. (2021) · Clinical Oral Investigations · doi:10.1007/s00784-020-03710-w · Cited by 908 · see citing works
The humanistic and economic burden of chronic wounds: A systematic review
Olsson, M., Järbrink, K., Divakar, U., Bajpai, R., Upton, Z., Schmidtchen, A., & Car, J. (2019) · Wound Repair and Regeneration · doi:10.1111/wrr.12683 · Cited by 865 · see citing works
Aguirre Velasco, A., Cruz, I. S. S., Billings, J., Jimenez, M., & Rowe, S. (2020) · BMC Psychiatry · doi:10.1186/s12888-020-02659-0 · Cited by 736 · see citing works
“For the quality assessment, we used the Joanna Briggs Institute Critical Appraisal Checklist [21] and the Mixed Methods Appraisal Tool (MMAT) [22], which were appropriate due to the variety of study designs included in this review; both have been previously validated [23, 24].”
Quek, J., Chan, K. E., Wong, Z. Y., Tan, C., Tan, B., Lim, W. H., Tan, D. J. H., Tang, A. S. P., Tay, P., Xiao, J., et al. (2023) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(22)00317-x · Cited by 749 · see citing works
Barker, T. H., Migliavaca, C. B., Stein, C., Colpani, V., Falavigna, M., Aromataris, E., & Munn, Z. (2021) · BMC Medical Research Methodology · doi:10.1186/s12874-021-01381-z · Cited by 738 · see citing works
“Prevalence and cumulative incidence estimates are normally generated through observational studies and proportions are the typical format in which data is likely to take when conducting a systematic review of prevalence or cumulative incidence [8, 9].”
BackgroundSelf-citationMartinengo, L., Olsson, M. M., Bajpai, R. C., Soljak, M., Upton, Z., Schmidtchen, A., Car, J., & Järbrink, K. (2018) · Annals of Epidemiology · doi:10.1016/j.annepidem.2018.10.005 · Cited by 724 · see citing works
Global Prevalence of Fetal Alcohol Spectrum Disorder Among Children and Youth
Lange, S., Probst, C., Gmel, G. E., Rehm, J. T., Burd, L., & Popova, S. (2017) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2017.1919 · Cited by 675 · see citing works
Moreno-Küstner, B., Martín, C., & Pastor, L. (2018) · PLOS ONE · doi:10.1371/journal.pone.0195687 · Cited by 562 · see citing works
Chen, Y., Malfertheiner, P., Yu, H.-T., Kuo, C.-L., Chang, Y.-Y., Meng, F.-T., Wu, Y.-X., Hsiao, J.-L., Chen, M., Lin, K., et al. (2024) · Gastroenterology · doi:10.1053/j.gastro.2023.12.022 · Cited by 566 · see citing works
SARS-COV-2 infection in children and newborns: a systematic review
Liguoro, I., Pilotto, C., Bonanni, M., Ferrari, M. E., Pusiol, A., Nocerino, A., Vidal, E., & Cogo, P. E. (2020) · European Journal of Pediatrics · doi:10.1007/s00431-020-03684-7 · Cited by 544 · see citing works
Lange, S., Probst, C., Rehm, J., & Popova, S. (2018) · The Lancet Global Health · doi:10.1016/s2214-109x(18)30223-7 · Cited by 550 · see citing works
The humanistic and economic burden of chronic wounds: a protocol for a systematic review
Järbrink, K., Ni, G., Sönnergren, H., Schmidtchen, A., Pang, C., Bajpai, R. C., & Car, J. (2017) · Systematic Reviews · doi:10.1186/s13643-016-0400-8 · Cited by 538 · see citing works
“Therefore, studies reporting health-related quality of life will be critically appraised using the Joanna Briggs Institute critical appraisal tool which is developed for prevalence data but also suitable for quality of life data that is collected with validated and well-recognised instruments [27].”
MethodPrevalence of Frailty in Nursing Homes: A Systematic Review and Meta-Analysis
Kojima, G. (2015) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2015.06.025 · Cited by 518 · see citing works
Worldwide prevalence of oral lichen planus: A systematic review and meta‐analysis
González‐Moles, M. Á., Warnakulasuriya, S., González‐Ruiz, I., González‐Ruiz, L., Ayén, Á., Lenouvel, D., Ruiz‐Ávila, I., & Ramos‐García, P. (2020) · Oral Diseases · doi:10.1111/odi.13323 · Cited by 479 · see citing works
Slade, T., Chapman, C., Swift, W., Keyes, K., Tonks, Z., & Teesson, M. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-011827 · Cited by 463 · see citing works
Järbrink, K., Ni, G., Sönnergren, H., Schmidtchen, A., Pang, C., Bajpai, R. C., & Car, J. (2016) · Systematic Reviews · doi:10.1186/s13643-016-0329-y · Cited by 454 · see citing works
“The risk of bias in included studies will be assessed using a tool developed specifically for conducting quality appraisal of studies in systematic reviews of prevalence data [18].”
MethodBarker, T. H., Stone, J. C., Sears, K., Klugar, M., Leonardi-Bee, J., Tufanaru, C., Aromataris, E., & Munn, Z. (2023) · JBI Evidence Synthesis · doi:10.11124/jbies-22-00125 · Cited by 471 · see citing works
Self-citationArias, Á., Pérez‐Martínez, I., Tenías, J. M., & Lucendo, A. J. (2015) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13441 · Cited by 412 · see citing works
En Li Cho, E., Ang, C. Z., Quek, J., Fu, C. E., Lim, L. K. E., Heng, Z. E. Q., Tan, D. J. H., Lim, W. H., Yong, J. N., Zeng, R., et al. (2023) · Gut · doi:10.1136/gutjnl-2023-330110 · Cited by 380 · see citing works
How are systematic reviews of prevalence conducted? A methodological study
on behalf of the Prevalence Estimates Reviews – Systematic Review Methodology Group (PERSyst), Borges Migliavaca, C., Stein, C., Colpani, V., Barker, T. H., Munn, Z., & Falavigna, M. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-00975-3 · Cited by 359 · see citing works
“The subsequent synthesis of this information in the form of a rigorously conducted and transparently reported systematic review has significant potential to better inform social and healthcare professionals, policy makers and consumers to better manage and plan for this disease burden [3].”
BackgroundSelf-citationSARS-CoV-2 seroprevalence worldwide: a systematic review and meta-analysis
Rostami, A., Sepidarkish, M., Leeflang, M., Riahi, S. M., Shiadeh, M. N., Esfandyari, S., Mokdad, A. H., Hotez, P. J., & Gasser, R. B. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.10.020 · Cited by 370 · see citing works
“The quality of studies included in the meta-analysis was assessed using the Joanna Briggs Institute (JBI) Prevalence Critical Appraisal Tool [34].”
Winsper, C., Bilgin, A., Thompson, A. D., Marwaha, S., Chanen, A. M., Singh, S. P., Wang, A., & Furtado, V. A. (2019) · The British Journal of Psychiatry · doi:10.1192/bjp.2019.166 · Cited by 368 · see citing works
“critically appraised full text articles using an adapted version of the Joanna Briggs Institute Critical Appraisal Tool for prevalence reviews.(25) Each study was rated (0 = study did not satisfy category or it could not be determined; 1=study satisfied the category).”
Global prevalence of childhood cataract: a systematic review
Sheeladevi, S., Lawrenson, J., Fielder, A., & Suttle, C. M. (2016) · Eye · doi:10.1038/eye.2016.156 · Cited by 290 · see citing works
“(11) Criteria used to judge quality are provided in Figure 2.”
MethodDing, T., Hardiman, P. J., Petersen, I., Wang, F.-F., Qu, F., & Baio, G. (2017) · Oncotarget · doi:10.18632/oncotarget.19180 · Cited by 336 · see citing works
“, [37] that the followings are all essential factors to be considered for prevalence studies: sampling scheme, sample representativeness, recruitment strategy, sample size calculation, description of study subjects and settings, response rate, standard criteria used for measurement of a specific condition, reliable me…”
BackgroundMethodThe prevalence of mental health problems in sub-Saharan adolescents: A systematic review
Jörns‐Presentati, A., Napp, A.-K., Dessauvagie, A., Stein, D. J., Jonker, D., Breet, E., Charles, W., Swart, R. L., Lahti, M., Suliman, S., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251689 · Cited by 339 · see citing works
“Included studies were assessed for their methodological quality using the JBI Critical Appraisal Checklist [19].”
MethodPrevalence and Trends of Overweight and Obesity in European Children From 1999 to 2016
Garrido‐Miguel, M., Cavero‐Redondo, I., Álvarez‐Bueno, C., Rodríguez‐Artalejo, F., Moreno, L. A., Ruiz, J. R., Ahrens, W., & Martínez‐Vizcaíno, V. (2019) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2019.2430 · Cited by 328 · see citing works
Chan, K. E., Koh, T. J. L., Tang, A. S. P., Quek, J., Yong, J. N., Tay, P. W. L., Tan, D. J. H., Lim, W. H., Lin, S. Y., Huang, D. Q., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac321 · Cited by 323 · see citing works
Tan, D. J. H., Ng, C. H., Lin, S. Y., Pan, X. H., Tay, P., Lim, W. H., Teng, M., Syn, N., Lim, G., Yong, J. N., et al. (2022) · The Lancet Oncology · doi:10.1016/s1470-2045(22)00078-x · Cited by 307 · see citing works
“31 The JBI assessment rates the risk of bias of cohort studies on the basis of appropriateness of sample frame, sampling method, adequacy of sample size, data analysis, methods for identification and measurement of relevant conditions, statistical analysis, and response rate adequacy.”
Baranyi, G., Scholl, C., Fazel, S., Patel, V., Priebe, S., & Mundt, A. P. (2019) · The Lancet Global Health · doi:10.1016/s2214-109x(18)30539-4 · Cited by 294 · see citing works
“To assess methodological quality, two reviewers (GB and CS) evaluated the internal and external validity of the included samples based on a modified scale of ten questions,16 which allowed a critical appraisal of prevalence rates in epidemiological investigations (appendix).”
Lucassen, M. F., Stasiak, K., Samra, R., Frampton, C. M., & Merry, S. N. (2017) · Australian & New Zealand Journal of Psychiatry · doi:10.1177/0004867417713664 · Cited by 292 · see citing works
“21 Table 2: Assessment of the evidence using the Joanna Briggs Institute Prevalence Critical Appraisal Tool (Munn et al., 2014), systematic review of depression prevalence among sexual minority youth”
Chaboyer, W. P., Thalib, L., Harbeck, E., Coyer, F. M., Blot, S. I., Bull, C. F., Nogueira, P. C., & Lin, F. F. (2018) · Critical Care Medicine · doi:10.1097/ccm.0000000000003366 · Cited by 273 · see citing works
Xu, Y., Chen, X., & Wang, K. (2017) · Journal of the American Society of Hypertension · doi:10.1016/j.jash.2017.06.004 · Cited by 261 · see citing works
“To ensure quality of the included studies for meta-an lysis, these studies were assessed using the Joanna Briggs Institute Prevalence Critical Appraisal Tool [35, 36].”
Stutterheim, S. E., van Dijk, M., Wang, H., & Jonas, K. J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0260063 · Cited by 259 · see citing works
“Given the lack of consensus on fitting quality assessment tools for epidemiological studies, [24] we developed criteria specifically for this systematic review and meta-analysis.”
MethodRisk factors for recurrent falls in older adults: A systematic review with meta-analysis
Jehu, D. A., Davis, J. C., Falck, R. S., Bennett, K. J., Tai, D., de Souza, M. F., Cavalcante, B. R., Zhao, M., & Liu-Ambrose, T. Y. L. (2020) · Maturitas · doi:10.1016/j.maturitas.2020.10.021 · Cited by 250 · see citing works
SeroTracker: a global SARS-CoV-2 seroprevalence dashboard
Arora, R. K., Joseph, A., Van Wyk, J., Rocco, S., Atmaja, A., May, E., Yan, T., Bobrovitz, N., Chevrier, J., Cheng, M. P., et al. (2021) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30631-9 · Cited by 200 · see citing works
Cullen, B., Ward, J., Graham, N. A., Deary, I. J., Pell, J. P., Smith, D. J., & Evans, J. J. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.06.063 · Cited by 231 · see citing works
“Risk of bias within studies Each included study was assessed for risk of bias using a critical appraisal tool for systematic reviews addressing questions of prevalence (Munn et al., 2014).”
MethodZhang, Y., Ren, R., Lei, F., Zhou, J., Zhang, J., Wing, Y.-K., Sanford, L. D., & Tang, X. (2019) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2019.01.004 · Cited by 238 · see citing works
Quality assessment of prevalence studies: a systematic review
Migliavaca, C. B., Stein, C., Colpani, V., Munn, Z., & Falavigna, M. (2020) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2020.06.039 · Cited by 253 · see citing works
Self-citationLu, Y., Shang, Z., Zhang, W., Pang, M., Hu, X., Dai, Y., Shen, R., Wu, Y., Liu, C., Luo, T., et al. (2024) · BMC Medicine · doi:10.1186/s12916-024-03514-9 · Cited by 259 · see citing works
“This tool assesses studies on various criteria, including the scale and repre-sentativeness of the population, methods of recruitment, standards for disease diagnosis, reliability of outcomes, methods of data analysis, and the management of confounding factors [9].”
BackgroundMethodBott, S., Guedes, A. C., Ruiz-Celis, A. P., & Mendoza, J. A. (2019) · Revista Panamericana de Salud Pública · doi:10.26633/rpsp.2019.26 · Cited by 228 · see citing works
Popova, S., Lange, S., Shield, K. D., Burd, L., & Rehm, J. T. (2019) · Addiction · doi:10.1111/add.14598 · Cited by 225 · see citing works
“Critical appraisal of included studies The critical appraisal of each study was performed using the Joanna Briggs Institute tool, specifically designed for use in systematic reviews addressing questions of prevalence [15].”
MethodGlobal prevalence of latent toxoplasmosis in pregnant women: a systematic review and meta-analysis
Rostami, A., Riahi, S. M., Gamble, H. R., Fakhri, Y., Shiadeh, M. N., Danesh, M., Behniafar, H., Paktinat, S., Foroutan, M., Mokdad, A. H., et al. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.01.008 · Cited by 224 · see citing works
Ng, C. H., Lim, W. H., Lim, G. E. H., Tan, D. J. H., Syn, N. L. X., Muthiah, M. D., Huang, D. Q., & Loomba, R. S. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2022.04.014 · Cited by 225 · see citing works
Pormohammad, A., Nasiri, M. J., & Azimi, T. (2019) · Infection and Drug Resistance · doi:10.2147/idr.s201324 · Cited by 217 · see citing works
“40 .1 1 on 0 6- Ju l-2 02 1 F or p er so na l u se o nl y. Powered by TCPDF (www.tcpdf.org) Quality assessment Quality assessment of the studies were performed by two reviewers independently, according to the modified criti- calappraisal checklist recommended by the Joanna Briggs Institute.17 Disagreements were resolv…”
MethodInfluentialSmith, S. S., Stewart, M. E., Davies, B. M., & Kotter, M. (2020) · Global Spine Journal · doi:10.1177/2192568220934496 · Cited by 213 · see citing works
“SS and MS assessed the quality of each study using a set of 9 criteria (Supplementary Figure S2), based on the Joanna Briggs Institute Prevalence Critical Appraisal tool.(29) These criteria evaluated sample selection and representativeness, as well as statistical methods; each study was assigned a quality score betwee…”
MethodTreatment rates for alcohol use disorders: A systematic review and meta-analysis
Mekonen, T., Chan, G. C. K., Connor, J., Hall, W., Hides, L., & Leung, J. (2021) · Addiction · doi:10.1111/add.15357 · Cited by 207 · see citing works
Incidence and prevalence of post-stroke insomnia: A systematic review and meta-analysis
Baylan, S., Griffiths, S. E., Grant, N. L., Broomfield, N. M., Evans, J. J., & Gardani, M. (2019) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2019.101222 · Cited by 207 · see citing works
A systematic review of the prevalence of limited health literacy in southeast Asian countries
Rajah, R., Hassali, M. A. A., & Murugiah, M. K. (2019) · Public Health · doi:10.1016/j.puhe.2018.09.028 · Cited by 191 · see citing works
Luo, W. P., Zhong, B., & Chiu, H. F. K. (2021) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796021000202 · Cited by 205 · see citing works
“…Yang et al., 2020b; Yao et al., 2020; Yi et al., 2020a, 2020b; Yu et al., 2020, 2021; Zhan et al., 2020; Zhang et al., 2020b, 2020c, 2020d, 2020e, 2020f, 2020g; 2020h; Zhao and Hu, 2020; Zhao et al., 2020a, 2020b, 2020c; Zhou et al., 2020; Chen and Zhu, 2021; Ni et al., 2021; Pan et al., 2021).”
InfluentialSharma, V., Coleman, S. B., Nixon, J., Sharples, L. D., Hamilton-Shield, J. P., Rutter, H., & Bryant, M. (2019) · Obesity Reviews · doi:10.1111/obr.12904 · Cited by 194 · see citing works
“Study quality was assessed using the Joanna Briggs Institute's Critical Appraisal Checklist using simplistic scoring (0‐5—poor quality; 6‐10—high quality).(22,23) The checklist includes components for sample representativeness, reliability of measurement, and whether sufficient details of BMI classification and comorb…”
MethodGrayston, R., Czanner, G., Elhadd, K., Goebel, A., Frank, B., Üçeyler, N., Malik, R. A., & Alam, U. (2019) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2018.08.003 · Cited by 213 · see citing works
“This critical appraisal tool assesses the risk of bias and the methodological practices that may impact the study's validity [39, 40].”
MethodHiggins, D., Balint, T., Liversage, H., & Winters, P. (2018) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2018.05.001 · Cited by 166 · see citing works
Richter, D., Wall, A., Bruen, A. J., & Whittington, R. (2019) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13083 · Cited by 187 · see citing works
Molenaar, N. M., Bais, B., den Berg, M. P. L., Mulder, C. L., Howell, E. A., Fox, N. S., Rommel, A., Bergink, V., & Kamperman, A. M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.12.014 · Cited by 176 · see citing works
Trends in the epidemiology of young-onset colorectal cancer: a worldwide systematic review
Din, K. S. E., Loree, J. M., Sayre, E. C., Gill, S., Brown, C. J., Dau, H., & Vera, M. A. D. (2020) · BMC Cancer · doi:10.1186/s12885-020-06766-9 · Cited by 177 · see citing works
“We assessed the quality of included studies with a checklist adapted for this systematic review based on the Joanna Briggs Institute Prevalence Critical Appraisal Tool, developed to address the lack of critical appraisal tools for systematic reviews of studies reporting prevalence [10], and the Appraisal tool for Cros…”
MethodGlobal prevalence of diabetic retinopathy: protocol for a systematic review and meta-analysis
Cheloni, R., Gandolfi, S., Signorelli, C., & Odone, A. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-022188 · Cited by 175 · see citing works
Qiu, Y., Li, G., Wang, X., Zheng, L., Wang, C., Wang, C., & Chen, L. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.104112 · Cited by 174 · see citing works
Turcotte, A., O'Connor, S. E., Morin, S. N., Gibbs, J. C., Willie, B. M., Jean, S., & Gagnon, C. (2021) · PLoS ONE · doi:10.1371/journal.pone.0252487 · Cited by 168 · see citing works
Prevalence of Frailty in Latin America and the Caribbean: A Systematic Review and Meta-Analysis
da Mata, F. A. F., Pereira, P. P. D. S., de Andrade, K. R. C., Figueiredo, A. C. M. G., Silva, M. T., & Pereira, M. G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160019 · Cited by 166 · see citing works
Baranyi, G., Fazel, S., Delhey, S., & Mundt, A. P. (2022) · The Lancet Public Health · doi:10.1016/s2468-2667(22)00093-7 · Cited by 174 · see citing works
“Supplementary Figure 1: Funnel plots for co-occuring substance use disorders and (1) non-affective”
BackgroundGlobal prevalence of Toxocara infection in dogs
Rostami, A., Riahi, S. M., Hofmann, A., Ma, G., Wang, T., Behniafar, H., Taghipour, A., Fakhri, Y., Spotin, A., Chang, B. C. H., et al. (2020) · Advances in Parasitology/Advances in parasitology · doi:10.1016/bs.apar.2020.01.017 · Cited by 169 · see citing works
Guidance to best tools and practices for systematic reviews
Kolaski, K., Logan, L. R., & Ioannidis, J. P. A. (2023) · Systematic Reviews · doi:10.1186/s13643-023-02255-9 · Cited by 190 · see citing works
Singh, P., Arora, S., Lal, S., Strand, T. A., & Makharia, G. K. (2015) · The American Journal of Gastroenterology · doi:10.1038/ajg.2015.296 · Cited by 159 · see citing works
Prevalence of scar contractures after burn: A systematic review
Oosterwijk, A. M., Mouton, L. J., Schouten, H. J., Disseldorp, L. M., van der Schans, C. P., & Nieuwenhuis, M. K. (2016) · Burns · doi:10.1016/j.burns.2016.08.002 · Cited by 156 · see citing works
The prevalence of polycystic ovary syndrome in adolescents: A systematic review and meta-analysis
Naz, M. S. G., Tehrani, F. R., Majd, H. A., Ahmadi, F., Ozgoli, G., Fakari, F. R., & Ghasemi, V. (2019) · International Journal of Reproductive BioMedicine (IJRM) · doi:10.18502/ijrm.v17i8.4818 · Cited by 154 · see citing works
“In this scale, sample representative, sample size, study subjects, data analysis measurement criteria, and the overall methodological methodological of the study were examined (26).”
MethodSystematic review of the prevalence of faecal incontinence
Sharma, A., Yuan, L., Marshall, R. J., Merrie, A. E. H., & Bissett, I. P. (2016) · British journal of surgery · doi:10.1002/bjs.10298 · Cited by 153 · see citing works
Gillespie, B. M., Harbeck, E., Rattray, M., Liang, R., Walker, R., Latimer, S. L., Thalib, L., Andersson, A. E., Griffin, B. R., Ware, R. S., et al. (2021) · International Journal of Surgery · doi:10.1016/j.ijsu.2021.106136 · Cited by 169 · see citing works
Prevalence of neuropathic pain in knee or hip osteoarthritis: A systematic review and meta-analysis
French, H., Smart, K. M., & Doyle, F. (2017) · Seminars in Arthritis and Rheumatism · doi:10.1016/j.semarthrit.2017.02.008 · Cited by 150 · see citing works
Downs, J., Blackmore, A. M., Epstein, A., Skoss, R., Langdon, K., Jacoby, P., Whitehouse, A. J. O., Leonard, H., Rowe, P. W., Glasson, E. J., et al. (2018) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.13555 · Cited by 148 · see citing works
Mahadev, S., Laszkowska, M., Sundström, J., Björkholm, M., Lebwohl, B., Green, P. H. R., & Ludvigsson, J. F. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.04.016 · Cited by 146 · see citing works
Multiple Sclerosis Epidemiology in East Asia, South East Asia and South Asia: A Systematic Review
Eskandarieh, S., Heydarpour, P., Minagar, A., Pourmand, S., & Sahraian, M. A. (2016) · Neuroepidemiology · doi:10.1159/000444019 · Cited by 144 · see citing works
Chan, K. E., Ong, E. Y. H., Chung, C. H., Ong, C. E. Y., Koh, B., Tan, D. J. H., Lim, W. H., Yong, J. N., Xiao, J., Wong, Z. Y., et al. (2023) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2023.09.018 · Cited by 150 · see citing works
Valentin, N., Camilleri, M., Altayar, O., Vijayvargiya, P., Acosta, A. J., Nelson, A. D., & Murad, M. H. (2015) · Gut · doi:10.1136/gutjnl-2015-309889 · Cited by 142 · see citing works
Smythe, K. L., Petersen, I., & Schartau, P. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.18969 · Cited by 147 · see citing works
“Although the EPDS has been validated in many different settings, the cutoff varies, and this is reflected in the range of cutoffs used (8-13).”
MethodHartwell, G., Thomas, S., Egan, M., Gilmore, A., & Petticrew, M. P. (2016) · Tobacco Control · doi:10.1136/tobaccocontrol-2016-053222 · Cited by 141 · see citing works
“13 We summarised risk of bias using the resulting 12 criteria and rated each study as high-quality, medium-quality or low-quality evidence depending on how many criteria were met. i We extracted the available outcome measures on e-cigarette awareness, ‘ ever use ’ and current use, including the…”
January, J., Madhombiro, M., Chipamaunga, S. R., Ray, S. C., Chingono, A., & Abas, M. (2018) · Systematic Reviews · doi:10.1186/s13643-018-0723-8 · Cited by 141 · see citing works
“The Joanna Briggs Institute (JBI) Prevalence Critical Appraisal tool [23] 2.”
MethodTehrani, H., Rajabi, A., Ghelichi-Ghojogh, M., Nejatian, M., & Jafari, A. (2022) · Archives of Public Health · doi:10.1186/s13690-022-00998-w · Cited by 145 · see citing works
“Quality assessment Methodological quality was assessed using the Joanna Briggs Institute’s critical appraisal tool [15] for prevalence studies.”
RetractedZhi, M., Zhu, X., Lugea, A., Waldron, R. T., Pandol, S. J., & Li, L. (2019) · Frontiers in Physiology · doi:10.3389/fphys.2019.00637 · Cited by 139 · see citing works
“The critical appraisal tool of Munn et al (Munn et al., 2014) was used to grade the quality of our incidence studies (Supplementary Table 1).”
MethodEstimating the global treatment rates for depression: a systematic review and meta-analysis
Mekonen, T., Chan, G. C. K., Connor, J. P., Hides, L., & Leung, J. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.09.038 · Cited by 137 · see citing works
Hasanpour, A., Sepidarkish, M., Mollalo, A., Ardekani, A., Almukhtar, M., Mechaal, A., Hosseini, S. R., Bayani, M., Javanian, M., & Rostami, A. (2023) · Antimicrobial Resistance and Infection Control · doi:10.1186/s13756-023-01210-6 · Cited by 136 · see citing works
“We stratified countries according to WHO-defined regions [17], World Bank’s income category [21], gross national income per capita [22], and the human development index (HDI) [23].”
MethodToh, J. Z. K., Pan, X.-H., Tay, P. W. L., Ng, C. H., Yong, J. N., Xiao, J., Koh, J. H., Tan, E. Y., Tan, E. X. X., Dan, Y. Y., et al. (2022) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2021.09.021 · Cited by 130 · see citing works
Prevalence of sarcopenia in older B razilians: A systematic review and meta‐analysis
Diz, J. B. M., Leopoldino, A. A. O., Moreira, B. D. S., Henschke, N., Dias, R. C., Pereira, L. S. M., & Oliveira, V. C. (2016) · Geriatrics and gerontology international/Geriatrics & gerontology international · doi:10.1111/ggi.12720 · Cited by 129 · see citing works
Prevalence of celiac disease in Asia: A systematic review and meta‐analysis
Singh, P., Arora, S., Singh, A., Strand, T. A., & Makharia, G. K. (2015) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.13270 · Cited by 127 · see citing works
Worldwide prevalence of mother-infant skin-to-skin contact after vaginal birth: A systematic review
Abdulghani, N., Edvardsson, K., & Amir, L. H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205696 · Cited by 125 · see citing works
Mortality and survival in idiopathic pulmonary fibrosis: a systematic review and meta-analysis
Zheng, Q., Cox, I. A., Campbell, J. A., Xia, Q., Otáhal, P., de Graaff, B., Corte, T. J., Teoh, A. K. Y., Walters, E. H., & Palmer, A. J. (2022) · ERJ Open Research · doi:10.1183/23120541.00591-2021 · Cited by 126 · see citing works
“…for evaluating quality of epidemiological studies of IPF exists, so we summarised the various criteria used by previous studies [3, 7, 11 – 15] and established a new tool with a total of 26 items for quality assessment, which includes two parts: criteria for case definition of IPF (13…”
Aromataris, E., Stern, C., Lockwood, C. S., Barker, T. H., Klugar, M., Jadotte, Y. T., Evans, C., Ross‐White, A., Lizarondo, L. M., Stephenson, M., et al. (2022) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2022.04.006 · Cited by 128 · see citing works
Self-citationSurace, T., Fusar‐Poli, L., Vozza, L., Cavone, V., Arcidiacono, C., Mammano, R., Basile, L., Rodolico, A., Bisicchia, P., Caponnetto, P., et al. (2020) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-020-01508-5 · Cited by 129 · see citing works
“The Joanna Briggs Institute (JBI) Critical Appraisal checklist for Prevalence Studies was used to evaluate the studies quality [25].”
MethodGolestani, A., Shobeiri, P., Sadeghi-Naini, M., Jazayeri, S. B., Maroufi, S. F., Ghodsi, Z., Ohadi, M. A. D., Mohammadi, E., Rahimi‐Movaghar, V., & Ghodsi, S. M. (2022) · Neuroepidemiology · doi:10.1159/000524867 · Cited by 123 · see citing works
Prevalence and incidence of venous leg ulcers—A systematic review and meta‐analysis
Probst, S., Saini, C., Gschwind, G., Stefanelli, A., Bobbink, P., Pugliese, M., Cekic, S., Pastor, D., & Gethin, G. (2023) · International Wound Journal · doi:10.1111/iwj.14272 · Cited by 123 · see citing works
“19,20 the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement 21 were followed to report the research and structure of this manuscript.”
MethodOkuyama, J. H. H., Galvão, T. F., & Silva, M. T. (2018) · The Scientific World JOURNAL · doi:10.1155/2018/9156301 · Cited by 129 · see citing works
“Two reviewers evaluated the studies independently using a validated 10-item tool, which assessed (i) representativeness of the sample, (ii) appropriateness of the recruitment, (iii) adequacy of the sample size, (iv) description of both the study subjects and the setting, (v) response rate, (vi) objective, standard cri…”
MethodShiadeh, S. M. J., Pormohammad, A., Hashemi, A., & Lak, P. (2019) · Infection and Drug Resistance · doi:10.2147/idr.s206084 · Cited by 129 · see citing works
Prevalence of intimate partner violence against women in the Arab world: a systematic review
Elghossain, T., Bott, S., Akik, C., & Obermeyer, C. M. (2019) · BMC International Health and Human Rights · doi:10.1186/s12914-019-0215-5 · Cited by 125 · see citing works
Raça/cor da pele e transtornos mentais no Brasil: uma revisão sistemática
Smolen, J. R., & de Araújo, E. M. (2017) · Ciência & Saúde Coletiva · doi:10.1590/1413-812320172212.19782016 · Cited by 120 · see citing works
Prevalence of metabolic syndrome in Bangladesh: a systematic review and meta-analysis of the studies
Chowdhury, M. Z. I., Anik, A. M., Farhana, Z., Bristi, P. D., Mamun, B. A. A., Uddin, M. J., Fatema, J., Akter, T., Tani, T. A., Rahman, M. M., et al. (2018) · BMC Public Health · doi:10.1186/s12889-018-5209-z · Cited by 120 · see citing works
“Study quality was assessed by each reviewer, according to the Joanna Briggs Institute guidance on conducting prevalence and incidence reviews [15, 16] Chowdhury et al.”
MethodPormohammad, A., Mehdinejadiani, K., Gholizadeh, P., Nasiri, M. J., Mohtavinejad, N., Dadashi, M., Karimaei, S., Safari, H., & Azimi, T. (2019) · Microbial Pathogenesis · doi:10.1016/j.micpath.2019.103887 · Cited by 119 · see citing works
- Authors
- Munn, Z., Moola, S., Riitano, D., & Lisy, K.
- Affiliations
- The University of Adelaide (AU)
- Venue
- International Journal of Health Policy and Management
- Publisher
- Maad Rayan Publishing Company
- Published
- 2014
- Volume
- 3
- Issue
- 3
- Pages
- 123-128
- ISSN
- 2322-5939 (ISSN-L)
- PMC
- PMC4154549
- OpenAlex
- W2167191881
- Semantic Scholar
- 834402d2ae3882ab962ec84179a5857fc9bd890b
- Cited by
- 1,479
- References
- 23
- Citations by year
- 2026: 145 · 2025: 166 · 2024: 177 · 2023: 193 · 2022: 220 · 2021: 172 · 2020: 151 · 2019: 93 · 2018: 73 · 2017: 37 · 2016: 39 · 2015: 11 · 2014: 2
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Health Policy and Management (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Information System of Ardabil University of Medical Sciences (Ardabil University of Medical Sciences) (acceptedVersion)
- SSRN Electronic Journal (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Keywords
- critical appraisal tools, prevalence, systematic reviews, methodological quality assessment, prevalence data, tool development, pilot study
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