2018
DOI: 10.1186/s13012-017-0693-6
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Applying GRADE-CERQual to qualitative evidence synthesis findings–paper 6: how to assess relevance of the data

Abstract: BackgroundThe 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 (a… Show more

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Cited by 158 publications
(147 citation statements)
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“…We used the CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach to assess our confidence in the review findings (Colvin 2018; Glenton 2018; Lewin 2018a; Lewin 2018b; Munthe‐Kaas 2018; Noyes 2018). This approach, building on the GRADE approach (Schünemann 2017), and the Cochrane tool for assessing risk of bias (Higgins 2017), for Cochrane systematic reviews of interventions, is becoming the standard to assess confidence in the findings from qualitative evidence syntheses (Ames 2017; Bohren 2015a; Colvin 2013; Lewin 2015; Munabi‐Babigumira 2017; Odendaal 2015).…”
Section: Methodsmentioning
confidence: 99%
“…We used the CERQual (Confidence in the Evidence from Reviews of Qualitative research) approach to assess our confidence in the review findings (Colvin 2018; Glenton 2018; Lewin 2018a; Lewin 2018b; Munthe‐Kaas 2018; Noyes 2018). This approach, building on the GRADE approach (Schünemann 2017), and the Cochrane tool for assessing risk of bias (Higgins 2017), for Cochrane systematic reviews of interventions, is becoming the standard to assess confidence in the findings from qualitative evidence syntheses (Ames 2017; Bohren 2015a; Colvin 2013; Lewin 2015; Munabi‐Babigumira 2017; Odendaal 2015).…”
Section: Methodsmentioning
confidence: 99%
“…A line of argument can incorporate similar and contrasting ideas from primary studies, thus allowing both reciprocal and refutational translation simultaneously, rather than choosing one or the other. We applied the GRADE-CERQual framework [42][43][44][45][46][47][48][49] to define our confidence in the themes entering the conceptual model as the framework was not designed to be applied to conceptual models. GRADE-CERQual suggest four domains: (1) 'Methodological limitations'; (2) 'Relevance'; (3) 'Adequacy of data' (the 'degree of richness and quantity of data supporting a review finding'); (4) 'Coherence' (consistency across primary studies); and finally, an overall rating of confidence (high, moderate, low, very low).…”
Section: Electronic Sources Medlinementioning
confidence: 99%
“…For qualitative findings, we will apply GRADE–CERQual criteria to determine the confidence in evidence for each outcome 68–73. We will assign a score to each outcome according to the four domains: methodological limitations, coherence, relevance and adequacy.…”
Section: Review Methodologymentioning
confidence: 99%