Literature DB >> 35025583

The microrandomized trial for developing digital interventions: Experimental design and data analysis considerations.

Tianchen Qian1, Ashley E Walton2, Linda M Collins3, Predrag Klasnja4, Stephanie T Lanza5, Inbal Nahum-Shani6, Mashfiqui Rabbi1, Michael A Russell3, Maureen A Walton7, Hyesun Yoo1, Susan A Murphy1.   

Abstract

Just-in-time adaptive interventions (JITAIs) are time-varying adaptive interventions that use frequent opportunities for the intervention to be adapted-weekly, daily, or even many times a day. The microrandomized trial (MRT) has emerged for use in informing the construction of JITAIs. MRTs can be used to address research questions about whether and under what circumstances JITAI components are effective, with the ultimate objective of developing effective and efficient JITAI. The purpose of this article is to clarify why, when, and how to use MRTs; to highlight elements that must be considered when designing and implementing an MRT; and to review primary and secondary analyses methods for MRTs. We briefly review key elements of JITAIs and discuss a variety of considerations that go into planning and designing an MRT. We provide a definition of causal excursion effects suitable for use in primary and secondary analyses of MRT data to inform JITAI development. We review the weighted and centered least-squares (WCLS) estimator which provides consistent causal excursion effect estimators from MRT data. We describe how the WCLS estimator along with associated test statistics can be obtained using standard statistical software such as R (R Core Team, 2019). Throughout we illustrate the MRT design and analyses using the HeartSteps MRT, for developing a JITAI to increase physical activity among sedentary individuals. We supplement the HeartSteps MRT with two other MRTs, SARA and BariFit, each of which highlights different research questions that can be addressed using the MRT and experimental design considerations that might arise. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Entities:  

Year:  2022        PMID: 35025583      PMCID: PMC9276848          DOI: 10.1037/met0000283

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  20 in total

1.  A covariance estimator for GEE with improved small-sample properties.

Authors:  L A Mancl; T A DeRouen
Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

Review 2.  Analysis of longitudinal data: the integration of theoretical model, temporal design, and statistical model.

Authors:  Linda M Collins
Journal:  Annu Rev Psychol       Date:  2006       Impact factor: 24.137

3.  Toward Causal Inference With Interference.

Authors:  Michael G Hudgens; M Elizabeth Halloran
Journal:  J Am Stat Assoc       Date:  2008-06       Impact factor: 5.033

4.  Efficacy of Contextually Tailored Suggestions for Physical Activity: A Micro-randomized Optimization Trial of HeartSteps.

Authors:  Predrag Klasnja; Shawna Smith; Nicholas J Seewald; Andy Lee; Kelly Hall; Brook Luers; Eric B Hekler; Susan A Murphy
Journal:  Ann Behav Med       Date:  2019-05-03

5.  Experimental design and primary data analysis methods for comparing adaptive interventions.

Authors:  Inbal Nahum-Shani; Min Qian; Daniel Almirall; William E Pelham; Beth Gnagy; Gregory A Fabiano; James G Waxmonsky; Jihnhee Yu; Susan A Murphy
Journal:  Psychol Methods       Date:  2012-10-01

6.  Assessing Time-Varying Causal Effect Moderation in Mobile Health.

Authors:  Audrey Boruvka; Daniel Almirall; Katie Witkiewitz; Susan A Murphy
Journal:  J Am Stat Assoc       Date:  2017-03-29       Impact factor: 5.033

7.  Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study.

Authors:  Tianchen Qian; Predrag Klasnja; Susan A Murphy
Journal:  Stat Sci       Date:  2020-09-11       Impact factor: 2.901

8.  Microrandomized trials: An experimental design for developing just-in-time adaptive interventions.

Authors:  Predrag Klasnja; Eric B Hekler; Saul Shiffman; Audrey Boruvka; Daniel Almirall; Ambuj Tewari; Susan A Murphy
Journal:  Health Psychol       Date:  2015-12       Impact factor: 4.267

9.  Sample size calculations for micro-randomized trials in mHealth.

Authors:  Peng Liao; Predrag Klasnja; Ambuj Tewari; Susan A Murphy
Journal:  Stat Med       Date:  2015-12-28       Impact factor: 2.373

10.  Toward Increasing Engagement in Substance Use Data Collection: Development of the Substance Abuse Research Assistant App and Protocol for a Microrandomized Trial Using Adolescents and Emerging Adults.

Authors:  Mashfiqui Rabbi; Meredith Philyaw Kotov; Rebecca Cunningham; Erin E Bonar; Inbal Nahum-Shani; Predrag Klasnja; Maureen Walton; Susan Murphy
Journal:  JMIR Res Protoc       Date:  2018-07-18
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  5 in total

1.  Engagement in digital interventions.

Authors:  Inbal Nahum-Shani; Steven D Shaw; Stephanie M Carpenter; Susan A Murphy; Carolyn Yoon
Journal:  Am Psychol       Date:  2022-03-17

2.  The mobile assistance for regulating smoking (MARS) micro-randomized trial design protocol.

Authors:  Inbal Nahum-Shani; Lindsey N Potter; Cho Y Lam; Jamie Yap; Alexander Moreno; Rebecca Stoffel; Zhenke Wu; Neng Wan; Walter Dempsey; Santosh Kumar; Emre Ertin; Susan A Murphy; James M Rehg; David W Wetter
Journal:  Contemp Clin Trials       Date:  2021-07-24       Impact factor: 2.226

3.  MCMTC: A Pragmatic Framework for Selecting an Experimental Design to Inform the Development of Digital Interventions.

Authors:  Inbal Nahum-Shani; John J Dziak; David W Wetter
Journal:  Front Digit Health       Date:  2022-03-09

4.  Smartphone App Delivery of a Just-In-Time Adaptive Intervention for Adult Gamblers (Gambling Habit Hacker): Protocol for a Microrandomized Trial.

Authors:  Simone N Rodda; Kathleen L Bagot; Stephanie S Merkouris; George Youssef; Dan I Lubman; Anna C Thomas; Nicki A Dowling
Journal:  JMIR Res Protoc       Date:  2022-07-26

5.  A Gambling Just-In-Time Adaptive Intervention (GamblingLess: In-The-Moment): Protocol for a Microrandomized Trial.

Authors:  Nicki A Dowling; Stephanie S Merkouris; George J Youssef; Dan I Lubman; Kathleen L Bagot; Chloe O Hawker; Hannah J Portogallo; Anna C Thomas; Simone N Rodda
Journal:  JMIR Res Protoc       Date:  2022-08-23
  5 in total

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