Published on in Vol 8, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17802, first published .
User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study

User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study

User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study

Journals

  1. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. Efficacy and Acceptability of My Care Hub Mobile App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes. International Journal of Environmental Research and Public Health 2020;17(7):2573 View
  2. Camacho-Rivera M, Vo H, Huang X, Lau J, Lawal A, Kawaguchi A. Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps. JMIR mHealth and uHealth 2020;8(10):e15076 View
  3. Stephenson A, Garcia-Constantino M, Murphy M, McDonough S, Nugent C, Mair J. The “Worktivity” mHealth intervention to reduce sedentary behaviour in the workplace: a feasibility cluster randomised controlled pilot study. BMC Public Health 2021;21(1) View
  4. Alhussein G, Hadjileontiadis L. Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis. JMIR mHealth and uHealth 2022;10(4):e32557 View
  5. Oakley-Girvan I, Docherty J. A New Approach to Enhancing Engagement in eHealth Apps. Interactive Journal of Medical Research 2022;11(2):e38886 View
  6. Yang Y, Boulton E, Todd C. Measurement of Adherence to mHealth Physical Activity Interventions and Exploration of the Factors That Affect the Adherence: Scoping Review and Proposed Framework. Journal of Medical Internet Research 2022;24(6):e30817 View
  7. Madujibeya I, Lennie T, Aroh A, Chung M, Moser D. Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review. JMIR mHealth and uHealth 2022;10(8):e35657 View
  8. Jessen S, Mirkovic J, Halvorsen Brendmo E, Solberg Nes L. Evaluating a Strengths-Based mHealth Tool (MyStrengths): Explorative Feasibility Trial. JMIR Formative Research 2021;5(11):e30572 View
  9. Cenamor J. Use of health self-management platform features: The case of a specialist ehealth app. Technological Forecasting and Social Change 2022;185:122066 View
  10. Conway A, Ryan A, Harkin D, Mc Cauley C, Goode D. A review of the factors influencing adoption of digital health applications for people living with dementia. DIGITAL HEALTH 2023;9:205520762311629 View
  11. Kowal A, Wojczuk M, Grabowska M, Szaran J, Kowal M, Pawłowicz-Szlarska E, Pęczek-Bartyzel K, Nowicki M. Activity and Profile of the Users of a Novel Mobile Application Supporting Proper Diet Among Maintenance Hemodialysis Patients. Journal of Renal Nutrition 2023;33(4):592 View
  12. Barker M, Chauhan R, Davies M, Brough C, Northern A, Stribling B, Schreder S, Khunti K, Hadjiconstantinou M. User Retention and Engagement in the Digital-Based Diabetes Education and Self-Management for Ongoing and Newly Diagnosed (myDESMOND) Program: Descriptive Longitudinal Study. JMIR Diabetes 2023;8:e44943 View
  13. Jonusas J, Aleknavicius K, Valinskas S. Klinio mobile app for diabetes self-care: A pilot study of HbA1c improvement in type 2 diabetes patients. Smart Health 2023;29:100404 View
  14. Park S, Byun S, Yang B, Kim D, Kim B, Lee J, Kim Y. Randomized controlled trial of digital therapeutics for temporomandibular disorder: A pilot study. Journal of Dentistry 2024:105030 View