应用 Bradford Hill 评估系统性综述中的因果关系:使用过程追踪的透明方法

IF 5 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Michal Shimonovich, Hilary Thomson, Anna Pearce, Srinivasa Vittal Katikireddi
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引用次数: 0

摘要

背景布拉德福德-希尔(BH)观点被广泛用于评估系统综述中的因果关系,但其应用往往缺乏可重复性。我们介绍了一种在系统性综述("因果 "综述)中评估因果关系的方法,并说明了该方法在收入不平等与健康这一主题中的应用。我们的方法借鉴了用于案例研究的过程追踪原则,利用BH观点来判断因果关系的证据。方法在过程追踪中,一个假设可能通过观察高度独特的证据而得到证实,也可能通过观察高度确定的证据而得不到证实。我们借鉴了这些原则,考虑为每种具有独特性和确定性特征的生物保健观点找到支持性或矛盾性证据的价值。结果在我们的示范性系统综述中,我们假设收入不平等会对自评健康和全因死亡率产生不利影响。由于 "类比 "和 "一致性 "观点的独特性和明确性较低,因此被排除在因果评估之外。实验 "观点被认为具有高度独特性和高度确定性,因此特别有价值。我们提出了在 "因果 "审查中使用生物保健观点的五个步骤:(结论在 "因果 "综述中使用生物保健观点时,纳入过程追踪有可能提供透明度和结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Applying Bradford Hill to assessing causality in systematic reviews: A transparent approach using process tracing

Applying Bradford Hill to assessing causality in systematic reviews: A transparent approach using process tracing

Background

Bradford Hill (BH) viewpoints are widely used to assess causality in systematic reviews, but their application has often lacked reproducibility. We describe an approach for assessing causality within systematic reviews (‘causal’ reviews), illustrating its application to the topic of income inequality and health. Our approach draws on principles of process tracing, a method used for case study research, to harness BH viewpoints to judge evidence for causal claims.

Methods

In process tracing, a hypothesis may be confirmed by observing highly unique evidence and disconfirmed by observing highly definitive evidence. We drew on these principles to consider the value of finding supportive or contradictory evidence for each BH viewpoint characterised by its uniqueness and definitiveness.

Results

In our exemplar systematic review, we hypothesised that income inequality adversely affects self-rated health and all-cause mortality. BH viewpoints ‘analogy’ and ‘coherence’ were excluded from the causal assessment because of their low uniqueness and low definitiveness. The ‘experiment’ viewpoint was considered highly unique and highly definitive, and thus could be particularly valuable. We propose five steps for using BH viewpoints in a ‘causal’ review: (1) define the hypothesis; (2) characterise each viewpoint; (3) specify the evidence expected for each BH viewpoint for a true or untrue hypothesis; (4) gather evidence for each viewpoint (e.g., systematic review meta-analyses, critical appraisal, background knowledge); (5) consider if each viewpoint was met (supportive evidence) or unmet (contradictory evidence).

Conclusions

Incorporating process tracing has the potential to provide transparency and structure when using BH viewpoints in ‘causal’ reviews.

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来源期刊
Research Synthesis Methods
Research Synthesis Methods MATHEMATICAL & COMPUTATIONAL BIOLOGYMULTID-MULTIDISCIPLINARY SCIENCES
CiteScore
16.90
自引率
3.10%
发文量
75
期刊介绍: Research Synthesis Methods is a reputable, peer-reviewed journal that focuses on the development and dissemination of methods for conducting systematic research synthesis. Our aim is to advance the knowledge and application of research synthesis methods across various disciplines. Our journal provides a platform for the exchange of ideas and knowledge related to designing, conducting, analyzing, interpreting, reporting, and applying research synthesis. While research synthesis is commonly practiced in the health and social sciences, our journal also welcomes contributions from other fields to enrich the methodologies employed in research synthesis across scientific disciplines. By bridging different disciplines, we aim to foster collaboration and cross-fertilization of ideas, ultimately enhancing the quality and effectiveness of research synthesis methods. Whether you are a researcher, practitioner, or stakeholder involved in research synthesis, our journal strives to offer valuable insights and practical guidance for your work.
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