This paper is in the following e-collection/theme issue:

RCTs - Pilots/Feasibility Studies (eHealth) (68) mHealth for Data Collection and Research (744) Text-messaging (SMS, WeChat etc)-Based Interventions (569) Substance Abuse (300)

Published on in Vol 7 , No 7 (2018) :July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9850, first published .
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

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

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 of this article:

Mashfiqui Rabbi 1 Author Orcid Image ;   Meredith Philyaw Kotov 2 Author Orcid Image ;   Rebecca Cunningham 3, 4, 5 Author Orcid Image ;   Erin E. Bonar 2, 5 Author Orcid Image ;   Inbal Nahum-Shani 6 Author Orcid Image ;   Predrag Klasnja 7 Author Orcid Image ;   Maureen Walton 2, 5 Author Orcid Image ;   Susan Murphy 1 Author Orcid Image
Article Authors Cited by (25) Tweetations (4) Metrics

Journals

  1. Li S, Psihogios A, McKelvey E, Ahmed A, Rabbi M, Murphy S. Microrandomized trials for promoting engagement in mobile health data collection: Adolescent/young adult oral chemotherapy adherence as an example. Current Opinion in Systems Biology 2020;21:1 View
  2. Bell L, Garnett C, Qian T, Perski O, Potts H, Williamson E. Notifications to Improve Engagement With an Alcohol Reduction App: Protocol for a Micro-Randomized Trial. JMIR Research Protocols 2020;9(8):e18690 View
  3. Liao P, Klasnja P, Murphy S. Off-Policy Estimation of Long-Term Average Outcomes With Applications to Mobile Health. Journal of the American Statistical Association 2021;116(533):382 View
  4. Psihogios A, Li Y, Butler E, Hamilton J, Daniel L, Barakat L, Bonafide C, Schwartz L. Text Message Responsivity in a 2-Way Short Message Service Pilot Intervention With Adolescent and Young Adult Survivors of Cancer. JMIR mHealth and uHealth 2019;7(4):e12547 View
  5. Rabbi M, Li K, Yan H, Hall K, Klasnja P, Murphy S. ReVibe. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019;3(4):1 View
  6. Kroska E, Hoel S, Victory A, Murphy S, McInnis M, Stowe Z, Cochran A. Optimizing an Acceptance and Commitment Therapy Microintervention Via a Mobile App With Two Cohorts: Protocol for Micro-Randomized Trials. JMIR Research Protocols 2020;9(9):e17086 View
  7. Reiter P, Gower A, Kiss D, Malone M, Katz M, Bauermeister J, Shoben A, Paskett E, McRee A. A Web-Based Human Papillomavirus Vaccination Intervention for Young Gay, Bisexual, and Other Men Who Have Sex With Men: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(2):e16294 View
  8. Coughlin L, Nahum-Shani I, Philyaw-Kotov M, Bonar E, Rabbi M, Klasnja P, Murphy S, Walton M. Developing an Adaptive Mobile Intervention to Address Risky Substance Use Among Adolescents and Emerging Adults: Usability Study. JMIR mHealth and uHealth 2021;9(1):e24424 View
  9. Psihogios A, Li Y, Ahmed A, Huang J, Kersun L, Schwartz L, Barakat L. Daily text message assessments of 6‐mercaptopurine adherence and its proximal contexts in adolescents and young adults with leukemia: A pilot study. Pediatric Blood & Cancer 2021;68(2) View
  10. Qian T, Yoo H, Klasnja P, Almirall D, Murphy S. Estimating time-varying causal excursion effects in mobile health with binary outcomes. Biometrika 2021;108(3):507 View
  11. Coughlin L, Bonar E, Bohnert A, Blow F, Bauermeister J, Cross Y, Cunningham R, Young S, Walton M. Patterns of same-day alcohol and cannabis use in adolescents and young adults with risky alcohol use. Addiction Research & Theory 2022;30(2):89 View
  12. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  13. Coughlin L, Nahum-Shani I, Bonar E, Philyaw-Kotov M, Rabbi M, Klasnja P, Walton M. Toward a Just-in-Time Adaptive Intervention to Reduce Emerging Adult Alcohol Use: Testing Approaches for Identifying When to Intervene. Substance Use & Misuse 2021;56(14):2115 View
  14. Lin Y, Mâsse L. A look at engagement profiles and behavior change: A profile analysis examining engagement with the Aim2Be lifestyle behavior modification app for teens and their families. Preventive Medicine Reports 2021;24:101565 View
  15. Ramadurai R, Beckham E, McHugh R, Björgvinsson T, Beard C. Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series. JMIR Mental Health 2022;9(8):e33545 View
  16. Goldstein S, Zhang F, Klasnja P, Hoover A, Wing R, Thomas J. Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized Trial. JMIR Research Protocols 2021;10(12):e33568 View
  17. Goldman N, Willem T, Buyx A, Zimmermann B. Social media recruitment: practical benefits, challenges, and recommendations. A multi-stakeholder interview study. (Preprint). Journal of Medical Internet Research 2022 View
  18. Vhaduri S, Cho J, Meng K. Predicting unreliable response patterns in smartphone health surveys: A case study with the mood survey. Smart Health 2023;28:100398 View
  19. Potter L, Yap J, Dempsey W, Wetter D, Nahum-Shani I. Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations. Prevention Science 2023 View
  20. Cohn E, Qian T, Murphy S. Sample size considerations for micro‐randomized trials with binary proximal outcomes. Statistics in Medicine 2023 View
  21. Sobolev M, Anand A, Dziak J, Potter L, Lam C, Wetter D, Nahum-Shani I. Time-varying model of engagement with digital self reporting: Evidence from smoking cessation longitudinal studies. Frontiers in Digital Health 2023;5 View

Books/Policy Documents

  1. El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. View
  2. Rabbi M. Encyclopedia of Behavioral Medicine. View
  3. Rabbi M. Encyclopedia of Behavioral Medicine. View