Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland; and Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (N.J.S.).
Division of Health Policy and Economics, Weill Cornell Medicine, New York, New York (E.E.M.).
Ann Intern Med. 2024 Nov;177(11):1530-1538. doi: 10.7326/M23-2440. Epub 2024 Oct 8.
Target trial emulation is an approach to designing rigorous nonexperimental studies by "emulating" key features of a clinical trial. Most commonly used outside of policy contexts, this approach is also valuable for policy evaluation as policies typically are not randomly assigned. In this article, we discuss the application of the target trial emulation framework in a policy evaluation context. The policy trial emulation framework includes 7 components: the units and eligibility criteria, definitions of the exposure and comparison conditions, assignment mechanism, baseline ("time zero") and follow-up, outcomes, causal estimand, and statistical analysis and assumptions. Policy evaluations that emulate a randomized trial across these dimensions can yield estimates of the causal effects of the policy on outcomes. Using the policy trial emulation framework to conduct and report on research design and methods supports transparent assessment of threats to causal inference in nonexperimental studies intended to assess the effect of a health policy on clinical or population health outcomes.
目标试验模拟是一种通过“模拟”临床试验的关键特征来设计严格的非实验研究的方法。这种方法最常用于政策环境之外,对于政策评估也很有价值,因为政策通常不是随机分配的。在本文中,我们讨论了目标试验模拟框架在政策评估背景下的应用。目标试验模拟框架包括 7 个组成部分:单位和资格标准、暴露和比较条件的定义、分配机制、基线(“时间零”)和随访、结果、因果估计量以及统计分析和假设。在这些方面模拟随机试验的政策评估可以得出政策对结果的因果效应的估计。使用政策试验模拟框架来进行和报告研究设计和方法,可以支持对旨在评估健康政策对临床或人群健康结果的影响的非实验研究中因果推断的威胁进行透明评估。