自然实验和准实验

P. Craig
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引用次数: 3

摘要

自然实验被定义为在研究人员控制下将人群分为暴露组和未暴露组的事件或过程,长期以来一直用于流行病学和公共卫生。依赖于观测数据而不是实验数据的评估方法在传统的证据等级中被列为次等。自然实验方法重新引起了公共卫生研究人员和决策者的兴趣,因为它们扩大了干预措施的范围,可以有效地评估那些在政治上、道德上或实际上可以在随机对照试验中进行测试的干预措施。本章主张将试验和自然实验视为政策和规划有效性证据的生产者和使用者的共同工具包的一部分。它描述了评价人口健康干预措施最常用的自然实验方法,并提供了在各种国家和政策环境中使用这些方法的实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural and quasi-experiments
Natural experiments, defined as events or processes outwith the control of a researcher, which divide a population into exposed and unexposed groups, have long been used in epidemiology and public health. Evaluation methods that rely on observational rather than experimental data are classified as second best in conventional hierarchies of evidence. Natural experimental approaches have attracted renewed interest from public health researchers and decision-makers because they widen the range of interventions that can usefully be evaluated beyond those that are politically, ethically, or practically amenable to testing in randomized controlled trials. This chapter argues for seeing trials and natural experiments as part of a common toolkit for producers and users of evidence about the effectiveness of policies and programmes. It describes the most commonly used natural experimental approaches to evaluating population health interventions, and provides examples of their use in a wide range of countries and policy settings.
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