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Should We Exclude Inadequately Reported Studies From Qualitative Systematic Reviews? An Evaluation of Sensitivity Analyses in Two Case Study Reviews
Abstract
The role of critical appraisal of qualitative studies in systematic reviews remains an ongoing cause for debate. Key to such a debate is whether quality assessment can or should be used to exclude studies. In our study, we extended the use of existing criteria to assess the quality of reporting of studies included in two qualitative systematic reviews. We then excluded studies deemed to be inadequately reported from the subsequent analysis. We tested the impact of these exclusions on the overall findings of the synthesis and its depth or thickness. Exclusion of so-called inadequately reported studies had no meaningful effect on the synthesis. There was a correlation between quality of reporting of a study and its values as a source for the final synthesis. We propose that there is a possible case for excluding inadequately reported studies from qualitative evidence synthesis.
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“Methodological quality criteria are more difficult to interpret because the reviewers need to judge whether the results of a study that are reported can be trustworthy (3, 22).”
From The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers (2018) · cites this paper as [22]
In the citing paper
“We used the Quality of Reporting Tool [36] to critically appraise the included sources of evidence.”
From Experiences of Using Digital Mindfulness-Based Interventions: Rapid Scoping Review and Thematic Synthesis (2023) · cites this paper as [36]
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“To account for the methodological variety of studies, the quality of reporting tool by Carroll et al [22] was used to assess quality.”
From Barriers to and facilitators of user engagement with digital mental health interventions: Systematic review (2021) · cites this paper as [22]
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Metadata
- Authors
- Carroll, C., Booth, A., & Lloyd-Jones, M.
- Affiliations
- University of Sheffield (GB)
- Venue
- Qualitative Health Research
- Publisher
- SAGE Publications
- Published
- 2012-08-03
- Volume
- 22
- Issue
- 10
- Pages
- 1425-1434
- ISSN
- 1049-7323 (ISSN-L)
- 1552-7557
- OpenAlex
- W2161865743
- Cited by
- 248
- References
- 49
- Citations by year
- 2026: 16 · 2025: 22 · 2024: 26 · 2023: 14 · 2022: 21 · 2021: 22 · 2020: 31 · 2019: 17 · 2018: 20 · 2017: 13 · 2016: 18 · 2015: 10 · 2014: 7 · 2013: 10 · 2012: 1
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Qualitative Health Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Keywords
- study exclusion, critical appraisal, quality assessment, reporting quality, qualitative evidence synthesis, sensitivity analysis
- MeSH terms
- Review Literature as Topic, Sensitivity and Specificity, Reproducibility of Results, Qualitative Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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