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

Web-based and Mobile Health Interventions (3092) e-Mental Health and Cyberpsychology (1386) Ecological Momentary Assessment (EMA) (294) Wearable Devices and Sensors (811) Depression and Mood Disorders; Suicide Prevention (1271)

Published on in Vol 22, No 3 (2020): March

Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial

Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial

Assessing Real-Time Moderation for Developing Adaptive Mobile Health Interventions for Medical Interns: Micro-Randomized Trial

Authors of this article:

Timothy NeCamp1 Author Orcid Image ;   Srijan Sen2, 3 Author Orcid Image ;   Elena Frank2 Author Orcid Image ;   Maureen A Walton4, 5 Author Orcid Image ;   Edward L Ionides1 Author Orcid Image ;   Yu Fang2 Author Orcid Image ;   Ambuj Tewari1 Author Orcid Image ;   Zhenke Wu6, 7 Author Orcid Image
Article Authors Cited by (30) Tweetations (8) Metrics

Journals

  1. Walch O. Putting it all together: Connecting mobile technology to systems biology. Current Opinion in Systems Biology 2020;22:16 View
  2. Liu J, Goetz J, Sen S, Tewari A. Learning From Others Without Sacrificing Privacy: Simulation Comparing Centralized and Federated Machine Learning on Mobile Health Data. JMIR mHealth and uHealth 2021;9(3):e23728 View
  3. Bowman C, Huang Y, Walch O, Fang Y, Frank E, Tyler J, Mayer C, Stockbridge C, Goldstein C, Sen S, Forger D. A method for characterizing daily physiology from widely used wearables. Cell Reports Methods 2021;1(4):100058 View
  4. Agarwal A, Ali Z, Shofer F, Xiong R, Hemmons J, Spencer E, Abdel-Rahman D, Sennett B, Delgado M. Testing Digital Methods of Patient-Reported Outcomes Data Collection: Prospective Cluster Randomized Trial to Test SMS Text Messaging and Mobile Surveys. JMIR Formative Research 2022;6(3):e31894 View
  5. Gilley K, Baroudi L, Yu M, Gainsburg I, Reddy N, Bradley C, Cislo C, Rozwadowski M, Clingan C, DeMoss M, Churay T, Birditt K, Colabianchi N, Chowdhury M, Forger D, Gagnier J, Zernicke R, Cunningham J, Cain S, Tewari M, Choi S. Risk Factors for COVID-19 in College Students Identified by Physical, Mental, and Social Health Reported During the Fall 2020 Semester: Observational Study Using the Roadmap App and Fitbit Wearable Sensors. JMIR Mental Health 2022;9(2):e34645 View
  6. Carlozzi N, Sander A, Choi S, Wu Z, Miner J, Lyden A, Graves C, Sen S, Verduci L. Improving outcomes for care partners of persons with traumatic brain injury: Protocol for a randomized control trial of a just-in-time-adaptive self-management intervention. PLOS ONE 2022;17(6):e0268726 View
  7. Shen F, Silverman B, Monette P, Kimble S, Rauch S, Baker J. An Ethics Checklist for Digital Health Research in Psychiatry: Viewpoint. Journal of Medical Internet Research 2022;24(2):e31146 View
  8. Wang J, Fang Y, Frank E, Walton M, Burmeister M, Tewari A, Dempsey W, NeCamp T, Sen S, Wu Z. Effectiveness of gamified team competition as mHealth intervention for medical interns: a cluster micro-randomized trial. npj Digital Medicine 2023;6(1) View
  9. Cleary J, Fang Y, Sen S, Wu Z, Borri A. A caveat to using wearable sensor data for COVID-19 detection: The role of behavioral change after receipt of test results. PLOS ONE 2022;17(12):e0277350 View
  10. Horwitz A, Hong V, Eisenberg D, Zheng K, Albucher R, Coryell W, Pistorello J, Favorite T, King C. Engagement With Personalized Feedback for Emotional Distress Among College Students at Elevated Suicide Risk. Behavior Therapy 2022;53(2):365 View
  11. Liu X, Deliu N, Chakraborty B. Microrandomized Trials: Developing Just-in-Time Adaptive Interventions for Better Public Health. American Journal of Public Health 2023;113(1):60 View
  12. Shi C, Luo S, Le Y, Zhu H, Song R. Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. Journal of the American Statistical Association 2024;119(545):232 View
  13. Dlima S, Shevade S, Menezes S, Ganju A. Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review. JMIR Bioinformatics and Biotechnology 2022;3(1):e39618 View
  14. Shi J, Wu Z, Dempsey W. Assessing time-varying causal effect moderation in the presence of cluster-level treatment effect heterogeneity and interference. Biometrika 2023;110(3):645 View
  15. Horwitz A, Czyz E, Al-Dajani N, Dempsey W, Zhao Z, Nahum-Shani I, Sen S. Utilizing daily mood diaries and wearable sensor data to predict depression and suicidal ideation among medical interns. Journal of Affective Disorders 2022;313:1 View
  16. Bell L, Garnett C, Bao Y, Cheng Z, Qian T, Perski O, Potts H, Williamson E. How Notifications Affect Engagement With a Behavior Change App: Results From a Micro-Randomized Trial. JMIR mHealth and uHealth 2023;11:e38342 View
  17. Tamminga S, Emal L, Boschman J, Levasseur A, Thota A, Ruotsalainen J, Schelvis R, Nieuwenhuijsen K, van der Molen H. Individual-level interventions for reducing occupational stress in healthcare workers. Cochrane Database of Systematic Reviews 2023;2023(5) View
  18. Huecker M, Genova G, Shreffler J. A Scoping Review of Physical Activity Interventions for Physician Wellness. American Journal of Lifestyle Medicine 2023:155982762311784 View
  19. Wang J, Wu Z, Choi S, Sen S, Yan X, Miner J, Sander A, Lyden A, Troost J, Carlozzi N. The Dosing of Mobile-Based Just-in-Time Adaptive Self-Management Prompts for Caregivers: Preliminary Findings From a Pilot Microrandomized Study. JMIR Formative Research 2023;7:e43099 View
  20. Laure T, Engels R, Remmerswaal D, Spruijt-Metz D, Konigorski S, Boffo M. Optimization of a Transdiagnostic Mobile Emotion Regulation Intervention for University Students: Protocol for a Microrandomized Trial. JMIR Research Protocols 2023;12:e46603 View
  21. Leong U, Chakraborty B. Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review. JMIR mHealth and uHealth 2023;11:e44685 View
  22. Yan X, Newman M, Park S, Sander A, Choi S, Miner J, Wu Z, Carlozzi N. Identifying Design Opportunities for Adaptive mHealth Interventions That Target General Well-Being: Interview Study With Informal Care Partners. JMIR Formative Research 2023;7:e47813 View
  23. Zhang S, Dieciuc M, Dilanchian A, Lustria M, Carr D, Charness N, He Z, Boot W. Adherence Promotion With Tailored Motivational Messages: Proof of Concept and Message Preferences in Older Adults. Gerontology and Geriatric Medicine 2024;10 View
  24. Shapiro B, Fang Y, Sen S, Forger D, Pani D. Unraveling the interplay of circadian rhythm and sleep deprivation on mood: A Real-World Study on first-year physicians. PLOS Digital Health 2024;3(1):e0000439 View
  25. Hassinger A, Velez C, Wang J, Mador M, Wilding G, Mishra A. Association between sleep health and rates of self-reported medical errors in intern physicians: an ancillary analysis of the Intern Health Study. Journal of Clinical Sleep Medicine 2024;20(2):221 View
  26. Arévalo Avalos M, Xu J, Figueroa C, Haro-Ramos A, Chakraborty B, Aguilera A, Ayatollahi H. The effect of cognitive behavioral therapy text messages on mood: A micro-randomized trial. PLOS Digital Health 2024;3(2):e0000449 View
  27. Takeuchi H, Ishizawa T, Kishi A, Nakamura T, Yoshiuchi K, Yamamoto Y. Just-in-Time Adaptive Intervention for Stabilizing Sleep Hours of Japanese Workers: Microrandomized Trial. Journal of Medical Internet Research 2024;26:e49669 View
  28. Ryu G. Strategies in Ecological Momentary Interventions for Mental Health Care in Adults: A Scoping Review. Journal of Digital Contents Society 2024;25(4):961 View
  29. Prentice C, Peven K, Zhaunova L, Nayak V, Radovic T, Klepchukova A, Potts H, Ponzo S. Methods for evaluating the efficacy and effectiveness of direct-to-consumer mobile health apps: a scoping review. BMC Digital Health 2024;2(1) View

Books/Policy Documents

  1. Rodrigues J, Oliveira F, Ribeiro C, Santos R. Digital Therapies in Psychosocial Rehabilitation and Mental Health. View