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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (457) e-Mental Health and Cyberpsychology (1386) Mobile Health (mhealth) (2748) mHealth for Wellness, Behavior Change and Prevention (2728) Anxiety and Stress Disorders (999) Depression and Mood Disorders; Suicide Prevention (1271) Mobile Health in Psychiatry (399)

Published on in Vol 21, No 12 (2019): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15644, first published .
Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study

Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study

Clinically Meaningful Use of Mental Health Apps and its Effects on Depression: Mixed Methods Study

Authors of this article:

Renwen Zhang1 Author Orcid Image ;   Jennifer Nicholas2 Author Orcid Image ;   Ashley A Knapp2 Author Orcid Image ;   Andrea K Graham2, 3 Author Orcid Image ;   Elizabeth Gray2 Author Orcid Image ;   Mary J Kwasny2 Author Orcid Image ;   Madhu Reddy1, 2 Author Orcid Image ;   David C Mohr2 Author Orcid Image
Article Authors Cited by (46) Tweetations (87) Metrics

Journals

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  7. Teckie S, Solomon J, Kadapa K, Sanchez K, Orner D, Kraus D, Kamdar D, Pereira L, Frank D, Diefenbach M. A Mobile Patient-Facing App for Tracking Patient-Reported Outcomes in Head and Neck Cancer Survivors: Single-Arm Feasibility Study. JMIR Formative Research 2021;5(3):e24667 View
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  10. Strauss C, Dunkeld C, Cavanagh K. Is clinician-supported use of a mindfulness smartphone app a feasible treatment for depression? A mixed-methods feasibility study. Internet Interventions 2021;25:100413 View
  11. Abdul Rahman T, Mat Nayan N. Text Messaging Platforms in Mental Health Computerised-based Therapy: A Review. Pertanika Journal of Science and Technology 2021;29(3) View
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  13. Six S, Byrne K, Aly H, Harris M. The Effect of Mental Health App Customization on Depressive Symptoms in College Students: Randomized Controlled Trial. JMIR Mental Health 2022;9(8):e39516 View
  14. Chiauzzi E, Wicks P. Beyond the Therapist’s Office: Merging Measurement-Based Care and Digital Medicine in the Real World. Digital Biomarkers 2021;5(2):176 View
  15. Baglione A, Cai L, Bahrini A, Posey I, Boukhechba M, Chow P. Understanding the Relationship Between Mood Symptoms and Mobile App Engagement Among Patients With Breast Cancer Using Machine Learning: Case Study. JMIR Medical Informatics 2022;10(6):e30712 View
  16. Su L, Anderson P. User Behavior of a Publicly Available, Free-to-Use, Self-guided mHealth App for Depression: Observational Study in a Global Sample. JMIR Formative Research 2022;6(10):e35538 View
  17. Baumel A. Therapeutic Activities as a Link between Program Usage and Clinical Outcomes in Digital Mental Health Interventions: a Proposed Research Framework. Journal of Technology in Behavioral Science 2022;7(2):234 View
  18. Stuart A, Katz D, Stevenson C, Gooch D, Harkin L, Bennasar M, Sanderson L, Liddle J, Bennaceur A, Levine M, Mehta V, Wijesundara A, Talbot C, Bandara A, Price B, Nuseibeh B. Loneliness in older people and COVID-19: Applying the social identity approach to digital intervention design. Computers in Human Behavior Reports 2022;6:100179 View
  19. Stuart A, Yan R, Harkin L, Katz D, Stevenson C, Mehta V, Giles E, Talbot C, Gooch D, Bennasar M, Self T, Nuseibeh B, Price B. Digital Intervention in Loneliness in Older Adults: Qualitative Analysis of User Studies. JMIR Formative Research 2023;7:e42172 View
  20. Kernebeck S, Busse T, Ehlers J, Vollmar H. Adhärenz digitaler Interventionen im Gesundheitswesen: Definitionen, Methoden und offene Fragen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2021;64(10):1278 View
  21. Zhang Y, Trace C. The quality of health and wellness self‐tracking data: A consumer perspective. Journal of the Association for Information Science and Technology 2022;73(6):879 View
  22. Saleem M, Kühne L, De Santis K, Christianson L, Brand T, Busse H. Understanding Engagement Strategies in Digital Interventions for Mental Health Promotion: Scoping Review. JMIR Mental Health 2021;8(12):e30000 View
  23. Rahman T, Nayan N. Text Messages for Depression, Anxiety and Alcohol Abuse Therapy—Are Construction Guidelines Needed?. International Journal of Environmental Research and Public Health 2022;19(23):15701 View
  24. Hallenbeck H, Jaworski B, Wielgosz J, Kuhn E, Ramsey K, Taylor K, Juhasz K, McGee-Vincent P, Mackintosh M, Owen J. PTSD Coach Version 3.1: A Closer Look at the Reach, Use, and Potential Impact of This Updated Mobile Health App in the General Public. JMIR Mental Health 2022;9(3):e34744 View
  25. Meyerhoff J, Kruzan K, Kim K, Van Orden K, Mohr D. Exploring the Safety of a General Digital Mental Health Intervention to Effect Symptom Reduction among Individuals with and without Suicidal Ideation: A Secondary Analysis. Archives of Suicide Research 2023;27(3):966 View
  26. Novick A, Kwitowski M, Dempsey J, Cooke D, Dempsey A. Technology-Based Approaches for Supporting Perinatal Mental Health. Current Psychiatry Reports 2022;24(9):419 View
  27. McCall T, Ali M, Yu F, Fontelo P, Khairat S. Development of a Mobile App to Support Self-management of Anxiety and Depression in African American Women: Usability Study. JMIR Formative Research 2021;5(8):e24393 View
  28. Coley N, Andre L, Hoevenaar-Blom M, Ngandu T, Beishuizen C, Barbera M, van Wanrooij L, Kivipelto M, Soininen H, van Gool W, Brayne C, Moll van Charante E, Richard E, Andrieu S. Factors Predicting Engagement of Older Adults With a Coach-Supported eHealth Intervention Promoting Lifestyle Change and Associations Between Engagement and Changes in Cardiovascular and Dementia Risk: Secondary Analysis of an 18-Month Multinational Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(5):e32006 View
  29. Gooch D, Mehta V, Stuart A, Katz D, Bennasar M, Levine M, Bandara A, Nuseibeh B, Bennaceur A, Price B. Designing Tangibles to Support Emotion Logging for Older Adults: Development and Usability Study. JMIR Human Factors 2022;9(2):e34606 View
  30. Graham A, Papandonatos G, Cha S, Amato M, Jacobs M, Cohn A, Abroms L, Whittaker R. Effectiveness of an optimized text message and Internet intervention for smoking cessation: A randomized controlled trial. Addiction 2022;117(4):1035 View
  31. Lockwood J, Williams L, Martin J, Rathee M, Hill C. Effectiveness, User Engagement and Experience, and Safety of a Mobile App (Lumi Nova) Delivering Exposure-Based Cognitive Behavioral Therapy Strategies to Manage Anxiety in Children via Immersive Gaming Technology: Preliminary Evaluation Study. JMIR Mental Health 2022;9(1):e29008 View
  32. Amagai S, Pila S, Kaat A, Nowinski C, Gershon R. Challenges in Participant Engagement and Retention Using Mobile Health Apps: Literature Review. Journal of Medical Internet Research 2022;24(4):e35120 View
  33. Kaveladze B, Wasil A, Bunyi J, Ramirez V, Schueller S. User Experience, Engagement, and Popularity in Mental Health Apps: Secondary Analysis of App Analytics and Expert App Reviews. JMIR Human Factors 2022;9(1):e30766 View
  34. Lutz J, Offidani E, Taraboanta L, Lakhan S, Campellone T. Appropriate controls for digital therapeutic clinical trials: A narrative review of control conditions in clinical trials of digital therapeutics (DTx) deploying psychosocial, cognitive, or behavioral content. Frontiers in Digital Health 2022;4 View
  35. Saad F, Eisenstadt M, Liverpool S, Carlsson C, Vainieri I. Self-Guided Mental Health Apps Targeting Racial and Ethnic Minority Groups: Scoping Review. JMIR Mental Health 2023;10:e48991 View
  36. Lim Y, Quek J, Ching X, Lim D, Lim K, Thuraisingham C, George P. Efficacy of a Text-Based Mental Health Coaching App in Improving the Symptoms of Stress, Anxiety, and Depression: Randomized Controlled Trial. JMIR Formative Research 2023;7:e46458 View
  37. Farrand P, Raue P, Ward E, Repper D, Areán P. Use and Engagement with Low-Intensity Cognitive Behavioral Therapy Techniques Employed Within an App to Support Worry Management: Analysis of Log Data (Preprint). JMIR mHealth and uHealth 2023 View
  38. Kowalski L, Finnes A, Koch S, Bujacz A. User engagement with organizational mHealth stress management intervention – A mixed methods study. Internet Interventions 2024;35:100704 View
  39. Lukka L, Karhulahti V, Bergman V, Palva J. Measuring digital intervention user experience with a novel ecological momentary assessment (EMA) method, CORTO. Internet Interventions 2024;35:100706 View

Books/Policy Documents

  1. Kernebeck S, Busse T, Vollmar H. E-Health-Ökonomie II. View
  2. Damaševičius R, Zailskaitė-Jakštė L. Leveraging ChatGPT and Artificial Intelligence for Effective Customer Engagement. View