Department of Emergency Medicine, Yale Center for Implementation Science, Yale School of Medicine, New Haven, CT, United States of America; Yale Center for Implementation Science, Yale School of Medicine, New Haven, CT, United States of America.
Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, United States of America.
Am J Emerg Med. 2022 Mar;53:6-11. doi: 10.1016/j.ajem.2021.12.028. Epub 2021 Dec 18.
The classical two-arm randomized clinical trial (RCT) is designed to test the efficacy or effectiveness of an intervention, which may consist of one or more components. However, this approach does not enable the investigator to obtain information that is important in intervention development, such as which individual components of the intervention are efficacious, which are not and possibly should be removed, and whether any components interact. The Multiphase Optimization Strategy (MOST) is a new framework for development, optimization, and evaluation of interventions. MOST includes the RCT for purposes of evaluation, but inserts a phase of research before the RCT aimed at intervention optimization. The optimization phase requires one or more separate trials similar in scope to an RCT, but employing a different experimental design. The design of the optimization trial is selected strategically so as to maximize the amount of scientific information gained using the available resources. One consideration in selecting this experimental design is the type of intervention to be optimized. If a fixed intervention, i.e. one in which the same intervention content and intensity is provided to all participants, is to be optimized, a factorial experiment is often appropriate. If an adaptive intervention, i.e. one in which intervention content or intensity is varied in a principled manner, is to be optimized, a sequential multiple-assignment randomized trial (SMART) is often a good choice. The objective of this article is to describe MOST and the scientific rationale for its use; describe two current applications of MOST in emergency medicine research, one using a factorial experiment and the other using a SMART; and discuss funding strategies and potential future applications in studying the care of individuals with acute illness, injury, or behavioral disorders.
经典的双臂随机临床试验(RCT)旨在测试干预措施的疗效或效果,该干预措施可能由一个或多个组成部分组成。然而,这种方法并不能使研究者获得干预措施发展中重要的信息,例如干预措施的哪些单个组成部分有效,哪些无效且可能应该去除,以及是否存在任何相互作用。多阶段优化策略(MOST)是一种用于干预措施开发、优化和评估的新框架。MOST 包括 RCT 用于评估的目的,但在 RCT 之前插入了一个研究阶段,旨在优化干预措施。优化阶段需要一个或多个单独的试验,其范围与 RCT 相似,但采用不同的实验设计。优化试验的设计是战略性选择的,以便利用可用资源获得尽可能多的科学信息。在选择这种实验设计时需要考虑的一个因素是要优化的干预措施的类型。如果要优化固定的干预措施,即向所有参与者提供相同的干预内容和强度的干预措施,则通常适合使用析因实验。如果要优化自适应干预措施,即通过原则性的方式改变干预内容或强度的干预措施,则通常适合使用序贯多项随机试验(SMART)。本文的目的是描述 MOST 及其使用的科学原理;描述在急诊医学研究中使用 MOST 的两个当前应用,一个使用析因实验,另一个使用 SMART;并讨论在研究急性疾病、损伤或行为障碍个体的护理方面的资金策略和潜在的未来应用。