| Literature DB >> 29384079 |
Simon Lewin1,2, Andrew Booth3, Claire Glenton4, Heather Munthe-Kaas4, Arash Rashidian5,6, Megan Wainwright7, Meghan A Bohren8, Özge Tunçalp8, Christopher J Colvin7, Ruth Garside9, Benedicte Carlsen10, Etienne V Langlois11, Jane Noyes12.
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.Entities:
Keywords: Confidence; Evidence-based practice; GRADE; Guidance; Methodology; Qualitative evidence synthesis; Qualitative research; Recommendations for practice; Research design; Systematic review methodology
Mesh:
Year: 2018 PMID: 29384079 PMCID: PMC5791040 DOI: 10.1186/s13012-017-0688-3
Source DB: PubMed Journal: Implement Sci ISSN: 1748-5908 Impact factor: 7.327
Strengths of the CERQual approach
| Strengths related to how the approach was developed: | |
| • Developed by a diverse group of international methodologists, qualitative researchers, systematic review authors and guideline developers. A few members of the group were also involved in health care decision making | |
| • Refined over several years through testing on a substantial number of qualitative evidence syntheses and through several rounds of consultations with academics and users in relevant fields | |
| Strengths related to the design of the approach: | |
| • Uses terminology, concepts and theoretical underpinnings that are sensitive to qualitative research | |
| • Provides explicit guidance on which concerns/threats to consider that may lead users to lower their confidence in the evidence | |
| • Makes judgements about confidence in qualitative evidence more transparent | |
| • The approach is independent of specific primary qualitative research methods and methods of synthesis | |
| • Assessments of confidence are based on multiple interdependent components | |
| Strengths related to the uses of the approach: | |
| • Assessments can be used within diverse decision making processes, including guideline development and health technology assessments, alongside GRADE assessments for other forms of evidence | |
| • The approach is congruent with other GRADE approaches for other types of evidence, and so can be easily integrated with these other approaches in decision making | |
| • The approach is well received and understood by stakeholders, when used in decision making processes including guideline development | |
| • Within decision making processes, CERQual may facilitate the use of qualitative evidence to address a range of issues. These include which outcomes are important to stakeholders; the acceptability and feasibility of interventions, including differences in views across different stakeholder groups; considerations regarding implementation; and the unintended consequences of interventions |
Definitions of the components of the CERQual approach
| Component | Definition |
|---|---|
| Methodological limitations | The extent to which there are concerns about the design or conduct of the primary studies that contributed evidence to an individual review finding |
| Coherence | An assessment of how clear and cogent the fit is between the data from the primary studies and a review finding that synthesises that data. By ‘cogent’, we mean well supported or compelling |
| Adequacy of data | An overall determination of the degree of richness and quantity of data supporting a review finding |
| Relevance | The extent to which the body of evidence from the primary studies supporting a review finding is applicable to the context (perspective or population, phenomenon of interest, setting) specified in the review question |
Fig. 1Overview of the GRADE-CERQual series of papers
Descriptions of level of confidence in a review finding in the CERQual approach [16]
| Level | Definition |
|---|---|
| High confidence | It is highly likely that the review finding is a reasonable representation of the phenomenon of interest |
| Moderate confidence | It is likely that the review finding is a reasonable representation of the phenomenon of interest |
| Low confidence | It is possible that the review finding is a reasonable representation of the phenomenon of interest |
| Very low confidence | It is not clear whether the review finding is a reasonable representation of the phenomenon of interest |
Fig. 2How the papers in the GRADE-CERQual series can be used
Way forward and research agenda for CERQual
| The following steps are needed to further develop the approach: |
| • To date, there is little collective experience of applying CERQual in the context of mixed method syntheses that include qualitative and quantitative data. Whether the approach needs to be adapted for this context needs to be explored. An important concern is whether assessing the quantitative and qualitative elements of a mixed-methods study individually, using separate approaches, risks under-valuing the contribution of review findings based on integrated data |
| • In some decision making processes, CERQual assessments of qualitative evidence may be presented alongside other GRADE assessments for data on intervention effectiveness and resource use.User testing is needed to explore how best to present this range of assessments to evidence users |
| • Our aim is that CERQual can be applied to review findings based on any kind of qualitative data. However, we do not have experience of applying the approach to syntheses where the primary material includes sources that are textual in nature but are not the output of formal qualitative research procedures. Such sources include blogs, online discussion group transcripts or newspaper reports. Further work is needed to examine how the approach can be used for such data |
| • We need to gather experience and, if necessary, adapt CERQual for syntheses of primary studies outside the field of health and health care research |
| • We need further work on whether CERQual needs to be adapted for application to more interpretive outputs from syntheses, such as logic models and findings from synthesis methods such as meta-ethnography |