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

Journals

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  17. 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
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  39. Phatsoane Gaven M, Quaife M, Majam M, Singh L, Rhagnath N, Wonderlik T, Gumede S. HIV self-test reporting using mHealth platforms: A pilot study in Johannesburg, South Africa. Frontiers in Reproductive Health 2023;5 View
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  41. Trinquart L, Liu C, McManus D, Nowak C, Lin H, Spartano N, Borrelli B, Benjamin E, Murabito J. Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e40784 View
  42. Carvalho C, Prando B, Dantas L, Serrão P. Mobile health technologies for the management of spine disorders: A systematic review of mHealth applications in Brazil. Musculoskeletal Science and Practice 2022;60:102562 View
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  49. Hoepper B, Siegel K, Carlon H, Kahler C, Park E, Taylor S, Simpson H, Hoeppner S. Feature-Level Analysis of a Smoking Cessation Smartphone App Based on a Positive Psychology Approach: Prospective Observational Study. JMIR Formative Research 2022;6(7):e38234 View
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  52. Militello L, Sobolev M, Okeke F, Adler D, Nahum-Shani I. Digital Prompts to Increase Engagement With the Headspace App and for Stress Regulation Among Parents: Feasibility Study. JMIR Formative Research 2022;6(3):e30606 View
  53. Broffman L, Harrison S, Zhao M, Goldman A, Patnaik I, Zhou M. The Relationship Between Broadband Speeds, Device Type, Demographic Characteristics, and Care-Seeking Via Telehealth. Telemedicine and e-Health 2023;29(3):425 View
  54. Gan D, McGillivray L, Han J, Christensen H, Torok M. Effect of Engagement With Digital Interventions on Mental Health Outcomes: A Systematic Review and Meta-Analysis. Frontiers in Digital Health 2021;3 View
  55. Wlasak W, Zwanenburg S, Paton C. Supporting Autonomous Motivation for Physical Activity With Chatbots During the COVID-19 Pandemic: Factorial Experiment. JMIR Formative Research 2023;7:e38500 View
  56. Chatterjee P, Beck A, Brager J, Durand D, D'Adamo C. The Effect of an Automated Mobile Patient Engagement Application on Emergency Department Revisits: Prospective Observational Study. JMIR Formative Research 2021;5(12):e17839 View
  57. Kloos N, Austin J, van ‘t Klooster J, Drossaert C, Bohlmeijer E. Appreciating the Good Things in Life During the Covid-19 Pandemic: A Randomized Controlled Trial and Evaluation of a Gratitude App. Journal of Happiness Studies 2022;23(8):4001 View
  58. White K, Matcham F, Leightley D, Carr E, Conde P, Dawe-Lane E, Ranjan Y, Simblett S, Henderson C, Hotopf M. Exploring the Effects of In-App Components on Engagement With a Symptom-Tracking Platform Among Participants With Major Depressive Disorder (RADAR-Engage): Protocol for a 2-Armed Randomized Controlled Trial. JMIR Research Protocols 2021;10(12):e32653 View
  59. Coughlin J, Martin L, Zhao D, Goheer A, Woolf T, Holzhauer K, Lehmann H, Lent M, McTigue K, Clark J, Bennett W. Electronic Health Record–Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study. Journal of Medical Internet Research 2022;24(6):e34191 View
  60. Chen E, Muessig K, Moracco K. Understanding the Acceptability of Health Apps among Adolescents: A Qualitative Study. ACI Open 2022;06(02):e103 View
  61. Coughlin L, Salino S, Jennings C, Lacek M, Townsend W, Koffarnus M, Bonar E. A systematic review of remotely delivered contingency management treatment for substance use. Journal of Substance Use and Addiction Treatment 2023;147:208977 View
  62. Moon K, Sobolev M, Kane J. Digital and Mobile Health Technology in Collaborative Behavioral Health Care: Scoping Review. JMIR Mental Health 2022;9(2):e30810 View
  63. Lu X, Thomaz E, Epstein D. Understanding People's Perceptions of Approaches to Semi-Automated Dietary Monitoring. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2022;6(3):1 View
  64. Jankovič A, Kolenik T, Pejović V. Can Personalization Persuade? Study of Notification Adaptation in Mobile Behavior Change Intervention Application. Behavioral Sciences 2022;12(5):116 View
  65. Wiegel J, Seppen B, Nurmohamed M, ter Wee M, Bos W. Predictors for response to electronic patient-reported outcomes in routine care in patients with rheumatoid arthritis: a retrospective cohort study. Rheumatology International 2023;43(4):651 View
  66. West D, Krukowski R, Stansbury M, Ogden D, Borden J, Harvey J. Examining weekly facilitated group sessions and counselor‐crafted self‐monitoring feedback on treatment outcome in digital weight control: A pilot factorial study. Obesity Science & Practice 2022;8(4):433 View
  67. Connelly Y, Lotan R, Brzezinski Sinai Y, Rolls D, Beker A, Abensour E, Neudorfer O, Stocki D. Implementation of a Personalized Digital App for Pediatric Preanesthesia Evaluation and Education: Ongoing Usability Analysis and Dynamic Improvement Scheme. JMIR Formative Research 2022;6(5):e34129 View
  68. Paganin G, Simbula S. New Technologies in the Workplace: Can Personal and Organizational Variables Affect the Employees’ Intention to Use a Work-Stress Management App?. International Journal of Environmental Research and Public Health 2021;18(17):9366 View
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Books/Policy Documents

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