Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.
Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.
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DOI：
10.1037/hea0000305
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发表时间：
2015-12
期刊：
影响因子：
--
通讯作者：
Murphy SA
中科院分区：
文献类型：
--
作者：
Klasnja P;Hekler EB;Shiffman S;Boruvka A;Almirall D;Tewari A;Murphy SA
本文介绍了一种支持实时适应性干预(JITAI)优化的实验设计，即微随机化试验。JITAI是mHealth技术，旨在在正确的时间和地点提供正确的干预组件，以最佳地支持个人的健康行为。微随机化试验提供了一种优化此类干预措施的方法，方法是能够对JITAI中单个干预措施的因果效应和时变效应缓和进行建模。本文描述了微随机化试验设计，列举了这种试验设计可以帮助回答的研究问题，并概述了可用于评估所研究干预成分的因果效应并调查这些影响的时变缓和的数据分析。微随机化试验能够对随机化干预组件的近端效应进行因果建模，并评估这些影响的时变缓和程度。微随机试验可以帮助研究人员了解他们的干预措施是否具有预期的效果，何时对谁有效，以及哪些因素缓和了干预措施的效果，从而能够创建更有效的联合技术援助。
This paper presents an experimental design, the micro-randomized trial, developed to support optimization of just-in-time adaptive interventions (JITAIs). JITAIs are mHealth technologies that aim to deliver the right intervention components at the right times and locations to optimally support individuals’ health behaviors. Micro-randomized trials offer a way to optimize such interventions by enabling modeling of causal effects and time-varying effect moderation for individual intervention components within a JITAI. The paper describes the micro-randomized trial design, enumerates research questions that this experimental design can help answer, and provides an overview of the data analyses that can be used to assess the causal effects of studied intervention components and investigate time-varying moderation of those effects. Micro-randomized trials enable causal modeling of proximal effects of the randomized intervention components and assessment of time-varying moderation of those effects. Micro-randomized trials can help researchers understand whether their interventions are having intended effects, when and for whom they are effective, and what factors moderate the interventions’ effects, enabling creation of more effective JITAIs.