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

Digital Health Reviews (953) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (390) Mobile Health (mhealth) (2238) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1121)

Published on in Vol 24 , No 5 (2022) :May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35371, first published .
Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review

Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review

Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review

Authors of this article:

Robert Jakob 1 Author Orcid Image ;   Samira Harperink 2 Author Orcid Image ;   Aaron Maria Rudolf 2 Author Orcid Image ;   Elgar Fleisch 1, 2, 3 Author Orcid Image ;   Severin Haug 4 Author Orcid Image ;   Jacqueline Louise Mair 3, 5 Author Orcid Image ;   Alicia Salamanca-Sanabria 3 Author Orcid Image ;   Tobias Kowatsch 1, 2, 3 Author Orcid Image
Article Authors Cited by (17) Tweetations (42) Metrics

Journals

  1. Haug S, Boumparis N, Wenger A, Schaub M, Paz Castro R. Efficacy of a Mobile App-Based Coaching Program for Addiction Prevention among Apprentices: A Cluster-Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2022;19(23):15730 View
  2. Kong N, Moy F, Ong S, Tahir G, Loo C. MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. DIGITAL HEALTH 2023;9:205520762211493 View
  3. Ross J, Cotterill S, Bower P, Murray E. Influences on Patient Uptake of and Engagement With the National Health Service Digital Diabetes Prevention Programme: Qualitative Interview Study. Journal of Medical Internet Research 2023;25:e40961 View
  4. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  5. Pape M, Färber T, Seiferth C, Roth T, Schroeder S, Wolstein J, Herpertz S, Steins-Loeber S. A Tailored Gender-Sensitive mHealth Weight Loss Intervention (I-GENDO): Development and Process Evaluation. JMIR Formative Research 2022;6(10):e38480 View
  6. Kiadaliri A, Dell’Isola A, Lohmander L, Hunter D, Dahlberg L. Assessing the importance of predictors of adherence to a digital self‑management intervention for osteoarthritis. Journal of Orthopaedic Surgery and Research 2023;18(1) View
  7. Braun P, Atik E, Guthardt L, Apolinário-Hagen J, Schückes M. Barriers to and Facilitators of a Blended Cognitive Behavioral Therapy Program for Depression and Anxiety Based on Experiences of University Students: Qualitative Interview Study. JMIR Formative Research 2023;7:e45970 View
  8. Sieber C, Haag C, Polhemus A, Sylvester R, Kool J, Gonzenbach R, von Wyl V. Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis. Frontiers in Digital Health 2023;5 View
  9. Garin N, Zarate-Tamames B, Gras-Martin L, Milà R, Crespo-Lessmann A, Curto E, Hernandez M, Mestres C, Plaza V. Clinical Impact of Electronic Monitoring Devices of Inhalers in Adults with Asthma or COPD: A Systematic Review and Meta-Analysis. Pharmaceuticals 2023;16(3):414 View
  10. Lee S, Oh J, Park K, Lee S, Lee E. Digital cognitive behavioral therapy for insomnia on depression and anxiety: a systematic review and meta-analysis. npj Digital Medicine 2023;6(1) View
  11. Salamanca-Sanabria A, Jabir A, Lin X, Alattas A, Kocaballi A, Lee J, Kowatsch T, Tudor Car L. Exploring the Perceptions of mHealth Interventions for the Prevention of Common Mental Disorders in University Students in Singapore: Qualitative Study. Journal of Medical Internet Research 2023;25:e44542 View
  12. Amo V, Prentice M, Lieder F. Formative Assessment of the InsightApp: A Gamified Mobile Application That Helps People Develop the (Meta-)Cognitive Skills to Cope with Stressful Situations and Difficult Emotions (Preprint). JMIR Formative Research 2022 View
  13. Mair J, Castro O, Salamanca-Sanabria A, Frese B, von Wangenheim F, Tai E, Kowatsch+ T, Müller-Riemenschneider+ F. Exploring the potential of mobile health interventions to address behavioural risk factors for the prevention of non-communicable diseases in Asian populations: a qualitative study. BMC Public Health 2023;23(1) View
  14. Wong A, Bayuo J, Wong F, Chow K, Wong S, Lau A. The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial. Journal of Medical Internet Research 2023;25:e43678 View
  15. Guo H, Xiao Y, Liao C, Sun J, Xie Y, Zheng Y, Fan G. U-shaped association between online information exchange and app usage frequency: a large-scale survey of China ‘s online young and middle-aged people with pre diabetes and diabetes. Frontiers in Endocrinology 2023;14 View

Books/Policy Documents

  1. Keller R, Wangenheim F, Mair J, Kowatsch T. Digital Therapeutics for Mental Health and Addiction. View
  2. Kay-Lambkin F, Heinsch M, Sampson D. Digital Therapeutics for Mental Health and Addiction. View