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Generalizing about Public Health Interventions: A Mixed-Methods Approach to External Validity
Annual Review of Public Health ( IF 20.8 ) Pub Date : 2017-04-06 00:00:00 , DOI: 10.1146/annurev-publhealth-031816-044509
Laura C. Leviton 1
Affiliation  

Public health researchers and practitioners are calling for greater focus on external validity, the ability to generalize findings of evidence-based interventions (EBIs) beyond the limited number of studies testing effectiveness. For public health, the goal is applicability: to translate, disseminate, and implement EBIs for an impact on population health. This article is a review of methods and how they might be combined to better assess external validity. The methods include (a) better description of EBIs and their contexts; (b) combining of statistical tools and logic to draw inferences about study samples; (c) sharper definition of the theory behind the intervention and core intervention components; and (d) more systematic consultation of practitioners. For population impact, studies should focus on context features that are likely to be both important (based on program theory) and frequently encountered by practitioners. Mixed-method programs of research will allow public health to expand causal generalizations.

中文翻译:


概述公共卫生干预:外部有效性的混合方法

公共卫生研究人员和从业人员呼吁更多地关注外部有效性,即超越有限数量的测试有效性的研究来推广基于证据的干预措施(EBI)研究结果的能力。对于公共卫生,目标是适用性:翻译,传播和实施EBI,以对人口健康产生影响。本文是对方法以及如何将其组合以更好地评估外部有效性的综述。这些方法包括:(a)更好地描述EBI及其上下文;(b)结合统计工具和逻辑以得出有关研究样本的推论;(c)对干预和核心干预组成部分背后的理论进行更清晰的定义;和(d)对从业人员进行更系统的咨询。对于人口影响,研究应集中于可能既重要(基于程序论)又从业人员经常遇到的情境特征。混合方法的研究计划将使公共卫生扩大因果关系。

更新日期:2017-04-06
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