Developments in Mobile Health Just-in-Time Adaptive Interventions for Addiction Science
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MOBILE HEALTH (K GARRISON, SECTION EDITOR)
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 4
# Springer Nature Switzerland AG 2020
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 Micro-randomized trial . Just-in-time adaptive intervention . Mobile health . Addiction
Introduction Addiction is a serious and prevalent problem across the globe, spanning tobacco, alcohol, opioids, other drugs, and gambling behaviors. Developing new approaches to support formal
This article is part of the Topical Collection on Mobile Health S.M.C. and M.M. contributed equally to this work. The first two authors are listed in alphabetical order. * Stephanie M. Carpenter [email protected] * Marianne Menictas [email protected] 1
Data-Science for Dynamic Decision-Making Lab (d3lab) at the Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI 48104, USA
2
Department of Statistics, Harvard University, Science Center, One Oxford Street, Cambridge, MA 02138-2901, USA
3
Department of Population Health Sciences and the Center for Health Outcomes and Population Equity, Huntsman Cancer Institute and the University of Utah, Salt Lake City, UT, USA
4
Faculty of Arts and Sciences, John A. Paulson School of Engineering and Applied Sciences, and The Radcliffe Institute for Advanced Study, Harvard University, Cambridge, MA, USA
treatment and recovery for addiction is critical given prominent barriers to seeking and receiving help, such as perceived stigma, cost, burden, and limited treatment availability [1]. Further, many triggers that lead to relapse occur outside of standard treatment settings and increased risk for lapse/relapse may occur frequently and rapidly [2–6]. Mobile health (mHealth), defined as the use of mobile and wireless technologies for health promotion [7•], offers a promising approach for addressing these barriers. mHealth tools such as smartphone apps, text messaging, and interactive voice response are effective approaches for extending addiction treatment outs
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