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应用 GRADE-CERQual 对定性证据综合研究结果进行评估-第 6 篇:如何评估数据的相关性。

Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 6: how to assess relevance of the data.

机构信息

School of Social Sciences, Bangor University, Bangor, UK.

School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.

出版信息

Implement Sci. 2018 Jan 25;13(Suppl 1):4. doi: 10.1186/s13012-017-0693-6.


DOI:10.1186/s13012-017-0693-6
PMID:29384080
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5791042/
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 relevance component. METHODS: We developed the relevance component by searching the literature for definitions, gathering feedback from relevant research communities and developing consensus through project group meetings. We tested the CERQual relevance component within several qualitative evidence syntheses before agreeing on the current definition and principles for application. RESULTS: When applying CERQual, we define relevance as the extent to which the body of data 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. In this paper, we describe the relevance component and its rationale and offer guidance on how to assess relevance in the context of a review finding. This guidance outlines the information required to assess relevance, the steps that need to be taken to assess relevance and examples of relevance assessments. CONCLUSIONS: This paper provides guidance for review authors and others on undertaking an assessment of relevance in the context of the CERQual approach. Assessing the relevance component requires consideration of potentially important contextual factors at an early stage in the review process. We expect the CERQual approach, and its individual components, to develop further as our experiences with the practical implementation of the approach increase.

摘要

背景: GRADE-CERQual(对定性研究证据综述的信心)方法由 GRADE(推荐评估、制定和评价)工作组开发。该方法旨在支持在决策中使用定性证据综合的研究结果,包括指南制定和政策制定。CERQual 包括四个评估从定性研究综述中得出的研究结果的置信度的组成部分(也称为定性证据综合):(1)方法学限制,(2)一致性,(3)数据充分性和(4)相关性。本文是一系列关于如何应用 CERQual 的指南的一部分,重点介绍 CERQual 的相关性组成部分。

方法:我们通过搜索文献来开发相关性组成部分,从相关研究领域收集反馈,并通过项目组会议达成共识。我们在同意当前的定义和应用原则之前,在几个定性证据综合中测试了 CERQual 的相关性组成部分。

结果:在应用 CERQual 时,我们将相关性定义为支持综述研究结果的原始研究数据与综述问题中指定的背景(视角或人群、感兴趣的现象、背景)的适用性程度。在本文中,我们描述了相关性组成部分及其基本原理,并提供了关于如何在综述研究结果的背景下评估相关性的指导。本指南概述了评估相关性所需的信息、评估相关性所需采取的步骤以及相关性评估的示例。

结论:本文为综述作者和其他人员提供了在 CERQual 方法背景下进行相关性评估的指南。评估相关性组成部分需要在综述过程的早期考虑潜在的重要背景因素。我们期望 CERQual 方法及其各个组成部分随着我们对该方法实际实施经验的增加而进一步发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cba/5791042/2f4b5ce1320d/13012_2017_693_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cba/5791042/4c95e9090784/13012_2017_693_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cba/5791042/2f4b5ce1320d/13012_2017_693_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cba/5791042/4c95e9090784/13012_2017_693_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cba/5791042/2f4b5ce1320d/13012_2017_693_Fig2_HTML.jpg

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[1]
Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 6: how to assess relevance of the data.

Implement Sci. 2018-1-25

[2]
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[3]
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本文引用的文献

[1]
Barriers and facilitators to the implementation of doctor-nurse substitution strategies in primary care: a qualitative evidence synthesis.

Cochrane Database Syst Rev. 2019-4-15

[2]
Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 2: how to make an overall CERQual assessment of confidence and create a Summary of Qualitative Findings table.

Implement Sci. 2018-1-25

[3]
Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 4: how to assess coherence.

Implement Sci. 2018-1-25

[4]
Applying GRADE-CERQual to qualitative evidence synthesis findings: introduction to the series.

Implement Sci. 2018-1-25

[5]
Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 3: how to assess methodological limitations.

Implement Sci. 2018-1-25

[6]
Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 5: how to assess adequacy of data.

Implement Sci. 2018-1-25

[7]
Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 7: understanding the potential impacts of dissemination bias.

Implement Sci. 2018-1-25

[8]
Factors that influence the provision of intrapartum and postnatal care by skilled birth attendants in low- and middle-income countries: a qualitative evidence synthesis.

Cochrane Database Syst Rev. 2017-11-17

[9]
Assessing the complexity of interventions within systematic reviews: development, content and use of a new tool (iCAT_SR).

BMC Med Res Methodol. 2017-4-26

[10]
Further exploration of dissemination bias in qualitative research required to facilitate assessment within qualitative evidence syntheses.

J Clin Epidemiol. 2017-8

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