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Prevention Science
Published in: Prevention Science 1/2019

01-01-2019

Standardized Effect Sizes for Preventive Mobile Health Interventions in Micro-randomized Trials

Authors: Brook Luers, Predrag Klasnja, Susan Murphy

Published in: Prevention Science | Issue 1/2019

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Abstract

Mobile Health (mHealth) interventions are behavioral interventions that are accessible to individuals in their daily lives via a mobile device. Most mHealth interventions consist of multiple intervention components. Some of the components are “pull” components, which require individuals to access the component on their mobile device at moments when they decide they need help. Other intervention components are “push” components, which are initiated by the intervention, not the individual, and are delivered via notifications or text messages. Micro-randomized trials (MRTs) have been developed to provide data to assess the effects of push intervention components on subsequent emotions and behavior. In this paper, we review the micro-randomized trial design and provide an approach to computing a standardized effect size for these intervention components. This effect size can be used to compare different push intervention components that may be included in an mHealth intervention. In addition, a standardized effect size can be used to inform sample size calculations for future MRTs. Here, the standardized effect size is a function of time because the push notifications can occur repeatedly over time. We illustrate this methodology using data from an MRT involving HeartSteps, an mHealth intervention for physical activity as part of the secondary prevention of heart disease.
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Metadata
Title
Standardized Effect Sizes for Preventive Mobile Health Interventions in Micro-randomized Trials
Authors
Brook Luers
Predrag Klasnja
Susan Murphy
Publication date
01-01-2019
Publisher
Springer US
Published in
Prevention Science / Issue 1/2019
Print ISSN: 1389-4986
Electronic ISSN: 1573-6695
DOI
https://doi.org/10.1007/s11121-017-0862-5

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