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Establishing confidence in the output of qualitative research synthesis: the ConQual approach.
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BACKGROUND: The importance of findings derived from syntheses of qualitative research has been increasingly acknowledged. Findings that arise from qualitative syntheses inform questions of practice and policy in their own right and are commonly used to complement findings from quantitative research syntheses. The GRADE approach has been widely adopted by international organisations to rate the quality and confidence of the findings of quantitative systematic reviews. To date, there has been no widely accepted corresponding approach to assist health care professionals and policy makers in establishing confidence in the synthesised findings of qualitative systematic reviews. METHODS: A methodological group was formed develop a process to assess the confidence in synthesised qualitative research findings and develop a Summary of Findings tables for meta-aggregative qualitative systematic reviews. RESULTS: Dependability and credibility are two elements considered by the methodological group to influence the confidence of qualitative synthesised findings. A set of critical appraisal questions are proposed to establish dependability, whilst credibility can be ranked according to the goodness of fit between the author's interpretation and the original data. By following the processes outlined in this article, an overall ranking can be assigned to rate the confidence of synthesised qualitative findings, a system we have labelled ConQual. CONCLUSIONS: The development and use of the ConQual approach will assist users of qualitative systematic reviews to establish confidence in the evidence produced in these types of reviews and can serve as a practical tool to assist in decision making.
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“The level of confidence in the synthesized findings was assessed and evaluated using the ConQual approach (25), which is based on dependability and credibility.”
From How do children with Tourette’s syndrome and their caregivers live with the disorder? A systematic review of qualitative evidence (2022) · cites this paper as [25]
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“The level of confidence in the synthesized findings was assessed and evaluated using the ConQual approach (25), which is based on dependability and credibility.”
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Metadata
- Authors
- Munn, Z., Porritt, K., Lockwood, C., Aromataris, E., & Pearson, A.
- Affiliations
- The University of Adelaide (AU)
- Corresponding author
- Munn, Zachary
- Venue
- BMC Medical Research Methodology
- Published
- 2014-09-20
- Volume
- 14
- Issue
- 1
- Pages
- 108-108
- ISSN
- 1471-2288 (ISSN-L)
- PMC
- PMC4190351
- OpenAlex
- W2162242768
- Cited by
- 803
- References
- 34
- Citations by year
- 2026: 100 · 2025: 116 · 2024: 106 · 2023: 96 · 2022: 90 · 2021: 77 · 2020: 71 · 2019: 49 · 2018: 45 · 2017: 23 · 2016: 20 · 2015: 8 · 2014: 1
- FWCI
- 16.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Medical Research Methodology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- 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
- critical appraisal, dependability, credibility, summary of findings tables, evidence rating, GRADE, healthcare decision-making
- MeSH terms
- Humans, Review Literature as Topic, Meta-Analysis as Topic, Reproducibility of Results, Program Evaluation, Evidence-Based Medicine, Qualitative Research
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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.
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