Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review

Journals

1. Currey D, Torous J. Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study. JMIR Research Protocols 2022;11(11):e37954 View
2. Owens A, Krebs C, Kuruppu S, Brem A, Kowatsch T, Aarsland D, Klöppel S. Broadened assessments, health education and cognitive aids in the remote memory clinic. Frontiers in Public Health 2022;10 View
3. Keller R, Hartmann S, Teepe G, Lohse K, Alattas A, Tudor Car L, Müller-Riemenschneider F, von Wangenheim F, Mair J, Kowatsch T. Digital Behavior Change Interventions for the Prevention and Management of Type 2 Diabetes: Systematic Market Analysis. Journal of Medical Internet Research 2022;24(1):e33348 View
4. Oikonomidi T, Ravaud P, LeBeau J, Tran V. A systematic scoping review of just-in-time, adaptive interventions finds limited automation and incomplete reporting. Journal of Clinical Epidemiology 2023;154:108 View
5. Stamatis C, Meyerhoff J, Liu T, Sherman G, Wang H, Liu T, Curtis B, Ungar L, Mohr D. Prospective associations of text‐message‐based sentiment with symptoms of depression, generalized anxiety, and social anxiety. Depression and Anxiety 2022;39(12):794 View
6. Zielasek J, Reinhardt I, Schmidt L, Gouzoulis-Mayfrank E. Adapting and Implementing Apps for Mental Healthcare. Current Psychiatry Reports 2022;24(9):407 View
7. Currey D, Torous J. Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model. Journal of Medical Internet Research 2023;25:e39258 View
8. Kleiman E, Glenn C, Liu R. The use of advanced technology and statistical methods to predict and prevent suicide. Nature Reviews Psychology 2023;2(6):347 View
9. Teepe G, Glase E, Reips U, Santangelo O. Increasing digitalization is associated with anxiety and depression: A Google Ngram analysis. PLOS ONE 2023;18(4):e0284091 View
10. ROSS V, BRIJS K, DIRIX H, WETS G, NEVEN A, VANROMPAY Y, CLAES N, JACOBS N. Early Client Involvement In The Design Of A Blended Smartphone Application And Dashboard For Depression (Totem). Journal of Evidence-Based Psychotherapies 2023;22(1):97 View
11. Castro O, Mair J, Salamanca-Sanabria A, Alattas A, Keller R, Zheng S, Jabir A, Lin X, Frese B, Lim C, Santhanam P, van Dam R, Car J, Lee J, Tai E, Fleisch E, von Wangenheim F, Tudor Car L, Müller-Riemenschneider F, Kowatsch T. Development of “LvL UP 1.0”: a smartphone-based, conversational agent-delivered holistic lifestyle intervention for the prevention of non-communicable diseases and common mental disorders. Frontiers in Digital Health 2023;5 View
12. Smith K, Blease C, Faurholt-Jepsen M, Firth J, Van Daele T, Moreno C, Carlbring P, Ebner-Priemer U, Koutsouleris N, Riper H, Mouchabac S, Torous J, Cipriani A. Digital mental health: challenges and next steps. BMJ Mental Health 2023;26(1):e300670 View
13. Rohaj A, Bulaj G. Digital Therapeutics (DTx) Expand Multimodal Treatment Options for Chronic Low Back Pain: The Nexus of Precision Medicine, Patient Education, and Public Health. Healthcare 2023;11(10):1469 View
14. 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
15. Teepe G, Lukic Y, Kleim B, Jacobson N, Schneider F, Santhanam P, Fleisch E, Kowatsch T. Development of a digital biomarker and intervention for subclinical depression: study protocol for a longitudinal waitlist control study. BMC Psychology 2023;11(1) View
16. Lipschitz J, Pike C, Hogan T, Murphy S, Burdick K. The Engagement Problem: a Review of Engagement with Digital Mental Health Interventions and Recommendations for a Path Forward. Current Treatment Options in Psychiatry 2023;10(3):119 View
17. Muench F, Madden S, Oommen S, Forthal S, Srinagesh A, Stadler G, Kuerbis A, Leeman R, Suffoletto B, Baumel A, Haslip C, Vadhan N, Morgenstern J. Automated, tailored adaptive mobile messaging to reduce alcohol consumption in help‐seeking adults: A randomized controlled trial. Addiction 2024;119(3):530 View
18. Kaya R, Kaplan V, Solmaz F, Yılmaz Y, Düken M. Just-in-Time Adaptive Interventions for Depression. Psikiyatride Güncel Yaklaşımlar 2024;16(4):585 View
19. Gray L, Marcynikola N, Barnett I, Torous J. The Potential for Digital Phenotyping in Understanding Mindfulness App Engagement Patterns: A Pilot Study. Journal of Integrative and Complementary Medicine 2024;30(11):1108 View
20. Slade C, Benzo R, Washington P. Design Guidelines for Improving Mobile Sensing Data Collection: Prospective Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55694 View
21. Henry L, Blay-Tofey M, Haeffner C, Raymond C, Tandilashvili E, Terry N, Kiderman M, Metcalf O, Brotman M, Lopez-Guzman S. Just-In-Time Adaptive Interventions to Promote Behavioral Health: Protocol for a Systematic Review (Preprint). JMIR Research Protocols 2024 View
22. Castro O, Salamanca-Sanabria A, Alattas A, Teepe G, Leidenberger K, Fleisch E, Tudor Car L, Muller-Riemenschneider F, Kowatsch T. Top-funded companies offering digital health interventions for the prevention and treatment of depression: a systematic market analysis. Archives of Public Health 2024;82(1) View
23. Tang T, Klein G, Görges M, Yip A, Fisher L, Polonsky W, Hessler D, Taylor D. Evaluating a mental health support mobile app for adults with type 1 diabetes living in rural and remote communities: The REACHOUT pilot study. Diabetic Medicine 2024 View

Books/Policy Documents

1. Keller R, Wangenheim F, Mair J, Kowatsch T. Digital Therapeutics for Mental Health and Addiction. View