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

Evaluation and Research Methodology for mHealth (219) mHealth for Wellness, Behavior Change and Prevention (3093) Behavior Change (768) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (536)

Published on in Vol 6, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10123, first published .
To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

To Prompt or Not to Prompt? A Microrandomized Trial of Time-Varying Push Notifications to Increase Proximal Engagement With a Mobile Health App

Authors of this article:

Niranjan Bidargaddi1 Author Orcid Image ;   Daniel Almirall2 Author Orcid Image ;   Susan Murphy3 Author Orcid Image ;   Inbal Nahum-Shani2 Author Orcid Image ;   Michael Kovalcik2 Author Orcid Image ;   Timothy Pituch4 Author Orcid Image ;   Haitham Maaieh4 Author Orcid Image ;   Victor Strecher4, 5 Author Orcid Image
Article Authors Cited by (123) Tweetations (20) Metrics

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  111. Livermon S, Michel A, Zhang Y, Petz K, Toner E, Rucker M, Boukhechba M, Barnes L, Teachman B, Ayatollahi H. A mobile intervention to reduce anxiety among university students, faculty, and staff: Mixed methods study on users’ experiences. PLOS Digital Health 2025;4(1):e0000601 View
  112. Fuller C, Marin-Dragu S, Iyer R, Meier S. A Mobile App–Based Gratitude Intervention’s Effect on Mental Well-Being in University Students: Randomized Controlled Trial. JMIR mHealth and uHealth 2025;13:e53850 View
  113. Schaafsma H, Caruso O, McEachern L, Seabrook J, Gilliland J. Understanding Food Literacy Intervention Effectiveness: Postsecondary Students’ Perspectives on How a mHealth Food Literacy Intervention Impacted Their Dietary Behaviors. Journal of Nutrition Education and Behavior 2025;57(4):304 View
  114. Daniels K, Vonck S, Robijns J, Quadflieg K, Bergs J, Spooren A, Hansen D, Bonnechère B. Exploring the Feasibility of a 5-Week mHealth Intervention to Enhance Physical Activity and an Active, Healthy Lifestyle in Community-Dwelling Older Adults: Mixed Methods Study. JMIR Aging 2025;8:e63348 View
  115. Hodson N, Woods P, Donohoe S, Solano J, Gardner J, Giardino M, Sobolev M, Giacco D. Augmenting Parenting Programs with the ‘Pause’ Mobile App: Pilot Evaluation (Preprint). JMIR Pediatrics and Parenting 2024 View
  116. Putica A, Yurtbasi M, Khanna R. Integrating digital health technologies for ecological validity in computational psychiatry: challenges and solutions. AI & SOCIETY 2025 View

Books/Policy Documents

  1. El‐Toukhy S, Nahum‐Shani I. Wiley StatsRef: Statistics Reference Online. View
  2. Martinho D, Carneiro J, Neves J, Novais P, Corchado J, Marreiros G. Progress in Artificial Intelligence. View
  3. Xu W, Legaspi R, Ishikawa Y. Persuasive Technology. View
  4. Sobolev M, Okeke F, Plonsky O. Persuasive Technology. View

Conference Proceedings

  1. Bertsimas D, Klasnja P, Murphy S, Na L. 2022 IEEE International Conference on Digital Health (ICDH). Data-driven Interpretable Policy Construction for Personalized Mobile Health View
  2. Woodward J, Chen Y, Jurczyk K, Ross K, Anthony L, Ruiz J. Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. A Survey of Notification Designs in Commercial mHealth Apps View
  3. Chen Y, Woodward J, Bista D, Zhang X, Singh I, Obajemu O, Shankar M, Ross K, Ruiz J, Anthony L. Proceedings of the CHI Conference on Human Factors in Computing Systems. Investigating Contextual Notifications to Drive Self-Monitoring in mHealth Apps for Weight Maintenance View