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Improving the content validity of the mixed methods appraisal tool: a modified e-Delphi study
Open accessAbstract
OBJECTIVE: The mixed methods appraisal tool (MMAT) was developed for critically appraising different study designs. This study aimed to improve the content validity of three of the five categories of studies in the MMAT by identifying relevant methodological criteria for appraising the quality of qualitative, survey, and mixed methods studies. STUDY DESIGN AND SETTING: First, we performed a literature review to identify critical appraisal tools and extract methodological criteria. Second, we conducted a two-round modified e-Delphi technique. We asked three method-specific panels of experts to rate the relevance of each criterion on a five-point Likert scale. RESULTS: A total of 383 criteria were extracted from 18 critical appraisal tools and a literature review on the quality of mixed methods studies, and 60 were retained. In the first and second rounds of the e-Delphi, 73 and 56 experts participated, respectively. Consensus was reached for six qualitative criteria, eight survey criteria, and seven mixed methods criteria. These results led to modifications of eight of the 11 MMAT (version 2011) criteria. Specifically, we reformulated two criteria, replaced four, and removed two. Moreover, we added six new criteria. CONCLUSION: Results of this study led to improve the content validity of this tool, revise it, and propose a new version (MMAT version 2018).
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“As a result, this review employed Hong et al.’s [75] Mixed Methods Appraisal Tool (MMAT), as the instrument provides reviewers with a single tool to assess quantitative, qualitative and mixed methods research, and has shown improved content validity over recent years [76].”
From The Mental Health of Elite-Level Coaches: A Systematic Scoping Review (2024) · cites this paper as [76]
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Application of Digital Twin Technology to Enhance Chronic Diseases Management: A Systematic Review
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“A multi-method approach was employed incorporating the Delphi technique [5] and a cross-sectional survey for empirical validation.”
Normann, A. K., Paradiso, M. N., Brülle, A., Garzon, S., Andreasen, K., Donisi, V., Piccolo, L. D., Manfredi, P., Jørgensen, J. S., & Linde, D. S. (2026) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-026-09473-8
“Due to the different design of the studies, several quality assessment tools were employed: The Appraisal tool for Cross-Sectional Studies (AXIS) [17] was applied for cross-sectional studies [7, 9, 18–27] and for mixed-method studies [28–31] the Mixed-Methods Appraisal Tool (MMAT) [32] was used.”
Efficacy of Virtual Reality–Based Mindfulness Interventions: Systematic Review and Meta-Analysis
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“Although DerSimonian-Laird estimation is standard in small-sample meta-analyses, it may underestimate uncertainty under conditions of extreme heterogeneity; results should therefore be interpreted conservatively [14].”
Influential
Metadata
- Authors
- Hong, Q. N., Pluye, P., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., O’Cathain, A., Rousseau, M.-C., & Vedel, I.
- Affiliations
- McGill University (CA)
- Universitat Oberta de Catalunya (ES)
- University of Warwick (GB)
- University of Canberra (AU)
- Université de Sherbrooke (CA)
- Université Laval (CA)
- University of Sheffield (GB)
- Institut National de la Recherche Scientifique (CA)
- Corresponding author
- Pluye, Pierre
- ORCID
- Venue
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 111
- Pages
- 49-59.e1
- ISSN
- 0895-4356 (ISSN-L)
- OpenAlex
- W2924322406
- Cited by
- 1,082
- References
- 50
- Citations by year
- 2026: 205 · 2025: 178 · 2024: 190 · 2023: 174 · 2022: 163 · 2021: 110 · 2020: 57 · 2019: 5
- FWCI
- 168.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Clinical Epidemiology (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- The Oberta in Open Access (Universitat Oberta de Catalunya) (publishedVersion, cc-by-nc-nd)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- HAL (submittedVersion, cc-by-nc-nd)
- eScholarship@McGill (McGill) (submittedVersion)
- EspaceINRS (National Institute for Scientific Research (Canada)) (submittedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, cc-by-nc-nd)
- Warwick Research Archive Portal (University of Warwick) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Delphi Technique in Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Health Sciences › Nursing › Research and Theory › Health Education and Validation
- Keywords
- Mixed Methods Appraisal Tool, content validity, critical appraisal, methodological quality criteria, qualitative research, survey research, mixed methods, e-Delphi, expert consensus
- MeSH terms
- Systematic Reviews as Topic, Delphi Technique, Research Design, Reproducibility of Results
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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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