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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

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Authors

Simon Lewin

Andrew Booth

Claire Glenton

Heather Munthe-Kaas

Arash Rashidian

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., …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

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http://creativecommons.org/licenses/by/4.0/

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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