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在复杂健康干预措施的系统评价中综合定量证据。

Synthesising quantitative evidence in systematic reviews of complex health interventions.

作者信息

Higgins Julian P T, López-López José A, Becker Betsy J, Davies Sarah R, Dawson Sarah, Grimshaw Jeremy M, McGuinness Luke A, Moore Theresa H M, Rehfuess Eva A, Thomas James, Caldwell Deborah M

机构信息

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

Department of Educational Psychology and Learning Systems, College of Education, Florida State University, Tallahassee, Florida, USA.

出版信息

BMJ Glob Health. 2019 Jan 25;4(Suppl 1):e000858. doi: 10.1136/bmjgh-2018-000858. eCollection 2019.

Abstract

Public health and health service interventions are typically complex: they are multifaceted, with impacts at multiple levels and on multiple stakeholders. Systematic reviews evaluating the effects of complex health interventions can be challenging to conduct. This paper is part of a special series of papers considering these challenges particularly in the context of WHO guideline development. We outline established and innovative methods for synthesising quantitative evidence within a systematic review of a complex intervention, including considerations of the complexity of the system into which the intervention is introduced. We describe methods in three broad areas: non-quantitative approaches, including tabulation, narrative and graphical approaches; standard meta-analysis methods, including meta-regression to investigate study-level moderators of effect; and advanced synthesis methods, in which models allow exploration of intervention components, investigation of both moderators and mediators, examination of mechanisms, and exploration of complexities of the system. We offer guidance on the choice of approach that might be taken by people collating evidence in support of guideline development, and emphasise that the appropriate methods will depend on the purpose of the synthesis, the similarity of the studies included in the review, the level of detail available from the studies, the nature of the results reported in the studies, the expertise of the synthesis team and the resources available.

摘要

公共卫生和卫生服务干预措施通常较为复杂

它们涉及多方面,会在多个层面产生影响,并涉及多个利益相关方。评估复杂卫生干预措施效果的系统评价开展起来可能具有挑战性。本文是一系列特别论文的一部分,这些论文尤其在世卫组织指南制定的背景下探讨这些挑战。我们概述了在复杂干预措施的系统评价中综合定量证据的既定方法和创新方法,包括对引入干预措施的系统复杂性的考量。我们从三个广泛领域描述方法:非定量方法,包括列表、叙述和图形方法;标准的荟萃分析方法,包括用于研究效应水平调节因素的荟萃回归;以及高级综合方法,其中模型允许探索干预措施的组成部分、研究调节因素和中介因素、考察机制以及探索系统的复杂性。我们为整理证据以支持指南制定的人员提供关于可能采用的方法选择的指导,并强调合适的方法将取决于综合的目的、纳入评价的研究的相似性、研究可得的详细程度、研究中报告结果的性质、综合团队的专业知识以及可用资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2354/6350707/26f3b4c61975/bmjgh-2018-000858f01.jpg

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