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Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol

Author

Listed:
  • Donna Spruijt-Metz

    (Center for Economic and Social Research, Department of Psychology, University of Southern California, Los Angeles, CA 90089, USA)

  • Benjamin M. Marlin

    (Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA)

  • Misha Pavel

    (Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115, USA
    Bouve College of Health Sciences, Northeastern University, Boston, MA 02115, USA)

  • Daniel E. Rivera

    (Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, Energy, Arizona State University, Tempe, AZ 85287, USA)

  • Eric Hekler

    (Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA
    Design Laboratory, University of California, San Diego, CA 92093, USA
    Center for Wireless and Population Health Systems, University of California, San Diego, CA 92093, USA)

  • Steven De La Torre

    (Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA)

  • Mohamed El Mistiri

    (Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, Energy, Arizona State University, Tempe, AZ 85287, USA)

  • Natalie M. Golaszweski

    (Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, CA 92093, USA
    The VA San Diego Healthcare System, San Diego, CA 92161, USA)

  • Cynthia Li

    (Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA)

  • Rebecca Braga De Braganca

    (Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA 90032, USA)

  • Karine Tung

    (Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA 01003, USA)

  • Rachael Kha

    (Control Systems Engineering Laboratory, School for Engineering of Matter, Transport, Energy, Arizona State University, Tempe, AZ 85287, USA)

  • Predrag Klasnja

    (School of Information, University of Michigan, Ann Arbor, MI 48109, USA)

Abstract

Background: Recent advances in mobile and wearable technologies have led to new forms of interventions, called “Just-in-Time Adaptive Interventions” (JITAI). JITAIs interact with the individual at the most appropriate time and provide the most appropriate support depending on the continuously acquired Intensive Longitudinal Data (ILD) on participant physiology, behavior, and contexts. These advances raise an important question: How do we model these data to better understand and intervene on health behaviors? The HeartSteps II study, described here, is a Micro-Randomized Trial (MRT) intended to advance both intervention development and theory-building enabled by the new generation of mobile and wearable technology. Methods : The study involves a year-long deployment of HeartSteps, a JITAI for physical activity and sedentary behavior, with 96 sedentary, overweight, but otherwise healthy adults. The central purpose is twofold: (1) to support the development of modeling approaches for operationalizing dynamic, mathematically rigorous theories of health behavior; and (2) to serve as a testbed for the development of learning algorithms that JITAIs can use to individualize intervention provision in real time at multiple timescales. Discussion and Conclusions : We outline an innovative modeling paradigm to model and use ILD in real- or near-time to individually tailor JITIAs.

Suggested Citation

  • Donna Spruijt-Metz & Benjamin M. Marlin & Misha Pavel & Daniel E. Rivera & Eric Hekler & Steven De La Torre & Mohamed El Mistiri & Natalie M. Golaszweski & Cynthia Li & Rebecca Braga De Braganca & Kar, 2022. "Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol," IJERPH, MDPI, vol. 19(4), pages 1-22, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2267-:d:751348
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    References listed on IDEAS

    as
    1. Audrey Boruvka & Daniel Almirall & Katie Witkiewitz & Susan A. Murphy, 2018. "Assessing Time-Varying Causal Effect Moderation in Mobile Health," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(523), pages 1112-1121, July.
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