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. 2020 Sep;7(3):280-290.
doi: 10.1007/s40429-020-00322-y. Epub 2020 Jun 27.

Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science

Stephanie M Carpenter  1 , Marianne Menictas  2 , Inbal Nahum-Shani  1 , David W Wetter  3 , Susan A Murphy  2
Affiliations

Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science

Stephanie M Carpenter et al. Curr Addict Rep. 2020 Sep.

Abstract

Purpose of review: 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.

Recent findings: 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.

Summary: This review aims to provide guidance for constructing effective JITAIs to support addiction treatment and recovery.

Keywords: Addiction; Just-In-Time Adaptive Intervention; Micro-Randomized Trial; Mobile Health.

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Conflict of interest statement

Conflict of Interest Stephanie M. Carpenter, Marianne Menictas, Inbal Nahum-Shani, David W. Wetter, and Susan A. Murphy declare that they have no conflicts of interest.

References

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    1. Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-time adaptive interventions (JITAIs) in mobile health: key components and design principles for ongoing health behavior support. Annals of Behavioral Medicine. 2018. June;52(6):446–62.

      ** This is an important article as it lays out the framework that we use for JITAIs in mHealth to provide a better understanding of the implications of providing timely and ecologically sound support for intervention adherence and retention.

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