Back to Search
Start Over
Applying GRADE-CERQual to qualitative evidence synthesis findings — paper 5: how to assess adequacy of data
- Source :
- Implementation science, 2018, Vol.13(S1), pp.14 [Peer Reviewed Journal], Implementation Science : IS, Implementation Science, Implementation Science, Vol 13, Iss S1, Pp 43-50 (2018)
- Publication Year :
- 2018
- Publisher :
- BioMed Central, 2018.
-
Abstract
- Background The GRADE-CERQual (Confidence in Evidence from Reviews of Qualitative research) approach has been developed by the GRADE (Grading of Recommendations Assessment, Development and Evaluation) working group. The approach has been developed to support the use of findings from qualitative evidence syntheses in decision-making, including guideline development and policy formulation. CERQual includes four components for assessing how much confidence to place in findings from reviews of qualitative research (also referred to as qualitative evidence syntheses): (1) methodological limitations; (2) coherence; (3) adequacy of data; and (4) relevance. This paper is part of a series providing guidance on how to apply CERQual and focuses on CERQual’s adequacy of data component. Methods We developed the adequacy of data component by searching the literature for definitions, gathering feedback from relevant research communities and developing consensus through project group meetings. We tested the CERQual adequacy of data component within several qualitative evidence syntheses before agreeing on the current definition and principles for application. Results When applying CERQual, we define adequacy of data as an overall determination of the degree of richness and the quantity of data supporting a review finding. In this paper, we describe the adequacy component and its rationale and offer guidance on how to assess data adequacy in the context of a review finding as part of the CERQual approach. This guidance outlines the information required to assess data adequacy, the steps that need to be taken to assess data adequacy, and examples of adequacy assessments. Conclusions This paper provides guidance for review authors and others on undertaking an assessment of adequacy in the context of the CERQual approach. We approach assessments of data adequacy in terms of the richness and quantity of the data supporting each review finding, but do not offer fixed rules regarding what constitutes sufficiently rich data or an adequate quantity of data. Instead, we recommend that this assessment is made in relation to the nature of the finding. We expect the CERQual approach, and its individual components, to develop further as our experiences with the practical implementation of the approach increase. Electronic supplementary material The online version of this article (10.1186/s13012-017-0692-7) contains supplementary material, which is available to authorized users.
- Subjects :
- Research design
Data Analysis
Evidence-based practice
Biomedical Research
Decision Making
Method
Health Informatics
Confidence
Health informatics
Health administration
03 medical and health sciences
Systematic review methodology
0302 clinical medicine
Qualitative research
Data adequacy
Confidence Intervals
Medicine
Humans
030212 general & internal medicine
Grading (education)
Publishing
lcsh:R5-920
Qualitative evidence synthesis
Evidence-Based Medicine
business.industry
Management science
030503 health policy & services
Health Policy
Public Health, Environmental and Occupational Health
Health services research
Methodology
General Medicine
Evidence-based medicine
Data Accuracy
GRADE
Guidance
0305 other medical science
business
lcsh:Medicine (General)
Systematic Reviews as Topic
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Implementation science, 2018, Vol.13(S1), pp.14 [Peer Reviewed Journal], Implementation Science : IS, Implementation Science, Implementation Science, Vol 13, Iss S1, Pp 43-50 (2018)
- Accession number :
- edsair.doi.dedup.....8328caa98fb6fdebd0afd2dde7d96f64