Simon Lewin
Applying GRADE-CERQual to qualitative evidence synthesis findings: introduction to the series
Lewin, Simon; Booth, Andrew; Glenton, Claire; Munthe-Kaas, Heather; Rashidian, Arash; Wainwright, Megan; Bohren, Meghan A.; Tunçalp, Özge; Colvin, Christopher J.; Garside, Ruth; Carlsen, Benedicte; Langlois, Etienne V.; Noyes, Jane
Authors
Andrew Booth
Claire Glenton
Heather Munthe-Kaas
Arash Rashidian
Megan Wainwright m.j.wainwright@durham.ac.uk
Visitor
Meghan A. Bohren
Özge Tunçalp
Christopher J. Colvin
Ruth Garside
Benedicte Carlsen
Etienne V. Langlois
Jane Noyes
Abstract
The GRADE-CERQual (‘Confidence in the Evidence from Reviews of Qualitative research’) approach provides guidance for assessing how much confidence to place in findings from systematic reviews of qualitative research (or qualitative evidence syntheses). The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. Confidence in the evidence from qualitative evidence syntheses is an assessment of the extent to which a review finding is a reasonable representation of the phenomenon of interest. CERQual provides a systematic and transparent framework for assessing confidence in individual review findings, based on consideration of four components: (1) methodological limitations, (2) coherence, (3) adequacy of data, and (4) relevance. A fifth component, dissemination (or publication) bias, may also be important and is being explored. As with the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach for effectiveness evidence, CERQual suggests summarising evidence in succinct, transparent, and informative Summary of Qualitative Findings tables. These tables are designed to communicate the review findings and the CERQual assessment of confidence in each finding. This article is the first of a seven-part series providing guidance on how to apply the CERQual approach. In this paper, we describe the rationale and conceptual basis for CERQual, the aims of the approach, how the approach was developed, and its main components. We also outline the purpose and structure of this series and discuss the growing role for qualitative evidence in decision-making. Papers 3, 4, 5, 6, and 7 in this series discuss each CERQual component, including the rationale for including the component in the approach, how the component is conceptualised, and how it should be assessed. Paper 2 discusses how to make an overall assessment of confidence in a review finding and how to create a Summary of Qualitative Findings table. The series is intended primarily for those undertaking qualitative evidence syntheses or using their findings in decision-making processes but is also relevant to guideline development agencies, primary qualitative researchers, and implementation scientists and practitioners.
Citation
Lewin, S., Booth, A., Glenton, C., Munthe-Kaas, H., Rashidian, A., Wainwright, M., Bohren, M. A., Tunçalp, Ö., Colvin, C. J., Garside, R., Carlsen, B., Langlois, E. V., & Noyes, J. (2018). Applying GRADE-CERQual to qualitative evidence synthesis findings: introduction to the series. Implementation Science, 13(S1), Article 2. https://doi.org/10.1186/s13012-017-0688-3
Journal Article Type | Article |
---|---|
Online Publication Date | Jan 25, 2018 |
Publication Date | Jan 25, 2018 |
Deposit Date | May 8, 2018 |
Publicly Available Date | May 9, 2018 |
Journal | Implementation Science |
Publisher | BioMed Central |
Peer Reviewed | Peer Reviewed |
Volume | 13 |
Issue | S1 |
Article Number | 2 |
DOI | https://doi.org/10.1186/s13012-017-0688-3 |
Public URL | https://durham-repository.worktribe.com/output/1327277 |
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Copyright Statement
© The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to
the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver
(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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