Cited by 257Meta-analysis and systematic reviewsStatistical Methods in EpidemiologyHIV/AIDS Research and Interventions

Development of a quality assessment tool for systematic reviews of observational studies (QATSO) of HIV prevalence in men having sex with men and associated risk behaviours

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Wong, William CW, Cheung, Catherine SK, Hart, Graham J·2008·Emerging Themes in Epidemiology

Abstract

Background: Systematic reviews based on the critical appraisal of observational and analytic studies on HIV prevalence and risk factors for HIV transmission among men having sex with men are very useful for health care decisions and planning. Such appraisal is particularly difficult, however, as the quality assessment tools available for use with observational and analytic studies are poorly established. Methods: We reviewed the existing quality assessment tools for systematic reviews of observational studies and developed a concise quality assessment checklist to help standardise decisions regarding the quality of studies, with careful consideration of issues such as external and internal validity. Results: A pilot version of the checklist was developed based on epidemiological principles, reviews of study designs, and existing checklists for the assessment of observational studies. The Quality Assessment Tool for Systematic Reviews of Observational Studies (QATSO) Score consists of five items: External validity (1 item), reporting (2 items), bias (1 item) and confounding factors (1 item). Expert opinions were sought and it was tested on manuscripts that fulfil the inclusion criteria of a systematic review. Like all assessment scales, QATSO may oversimplify and generalise information yet it is inclusive, simple and practical to use, and allows comparability between papers. Conclusion: A specific tool that allows researchers to appraise and guide study quality of observational studies is developed and can be modified for similar studies in the future.

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  • The need for complete reporting of all relevant methodological aspects as a prerequisite to assessing the risk of bias of studies was highlighted in 10 articles, and was the focus of recommendations in a publication from the MOOSE group.

    “The need for complete reporting of all relevant methodological aspects as a prerequisite to assessing the risk of bias of studies was highlighted in 10 articles, [16, 33, 35, 47, 50, 56, 86, 87, 90, 91] and was the focus of recommendations in a publication from the Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group [12].”

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Research works printed but not linked: 2

  1. Khan KS Riet G Popay J Nixon J Kleijnen J Conducting the review Study quality assessment
  2. The Cochrane Collaborative Review Group on HIV Infection and AIDS Editorial Policy: Inclusion and Appraisal of Experimental and Non-experimental (Observational) Studies

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Authors
Wong, W. C., Cheung, C. S., & Hart, G. J.
Affiliations
  • The University of Melbourne (AU)
  • Chinese University of Hong Kong (HK)
  • Mortimer Market Centre (GB)
Corresponding author
Wong, William CW
Venue
Emerging Themes in Epidemiology
Published
2008-11-17
Volume
5
Issue
1
Pages
23-23
ISSN
1742-7622 (ISSN-L)
OpenAlex
W2161763362
Cited by
257
References
15
Citations by year
2026: 1 · 2025: 7 · 2024: 12 · 2023: 15 · 2022: 13 · 2021: 18 · 2020: 22 · 2019: 15 · 2018: 16 · 2017: 28 · 2016: 22 · 2015: 24 · 2014: 17 · 2013: 19 · 2012: 19
FWCI
0.97
Type
journal article
Language
en
Open access
Locations
  • Emerging Themes in Epidemiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Minerva Access (University of Melbourne) (submittedVersion, cc-by)
  • Open Scholarship Institutional Repository (Washington University in St. Louis) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
Chinese University of Hong Kong
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
Keywords
quality assessment tools, systematic reviews, observational studies, HIV prevalence, men who have sex with men, HIV risk behavior, generalizability, internal validity, reporting quality, bias, confounding, critical appraisal

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