Carpenter Stephanie M, Menictas Marianne, Nahum-Shani Inbal, Wetter David W, Murphy Susan A
Institute for Social Research, University of Michigan, Ann Arbor, MI.
Harvard University, Cambridge, MA.
Curr Addict Rep. 2020 Sep;7(3):280-290. doi: 10.1007/s40429-020-00322-y. Epub 2020 Jun 27.
Addiction is a serious and prevalent problem across the globe. An important challenge facing intervention science is how to support addiction treatment and recovery while mitigating the associated cost and stigma. A promising solution is the use of mobile health (mHealth) just-in-time adaptive interventions (JITAIs), in which intervention options are delivered in situ via a mobile device when individuals are most in need.
The present review describes the use of mHealth JITAIs to support addiction treatment and recovery, and provides guidance on when and how the micro-randomized trial (MRT) can be used to optimize a JITAI. We describe the design of five mHealth JITAIs in addiction and three MRT studies, and discuss challenges and future directions.
This review aims to provide guidance for constructing effective JITAIs to support addiction treatment and recovery.
成瘾是全球范围内一个严重且普遍存在的问题。干预科学面临的一项重要挑战是如何在减轻相关成本和污名化的同时,支持成瘾治疗与康复。一个有前景的解决方案是使用移动健康(mHealth)即时自适应干预(JITAIs),即在个体最需要时通过移动设备在现场提供干预选项。
本综述描述了使用移动健康即时自适应干预来支持成瘾治疗与康复,并就何时以及如何使用微随机试验(MRT)来优化即时自适应干预提供指导。我们描述了五项针对成瘾的移动健康即时自适应干预以及三项微随机试验研究的设计,并讨论了挑战和未来方向。
本综述旨在为构建有效的即时自适应干预以支持成瘾治疗与康复提供指导。