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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1596) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (542) Apps, Mobile, Wearables for Diabetes (338) Diabetes Self-Management (541)

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

Authors of this article:

Mary D Adu1 Author Orcid Image ;   Usman H Malabu1 Author Orcid Image ;   Aduli EO Malau-Aduli2 Author Orcid Image ;   Aaron Drovandi1 Author Orcid Image ;   Bunmi S Malau-Aduli1 Author Orcid Image
Article Authors Cited by (19) Tweetations (1) Metrics

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 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;147:105030 View
  15. Tak Y, Lee J, Kim J, Lee Y. Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices. Journal of Medical Internet Research 2024;26:e59444 View
  16. Supramaniam P, Beh Y, Junus S, Devesahayam P. Exploring mHealth app utilization for diabetes self-management: survey insights from a northern district in Malaysia. BMC Public Health 2024;24(1) View
  17. Ash G, Mak S, Haughton A, Augustine M, Bodurtha P, Axtell R, Borsari B, Liu J, Lou S, Xin X, Fucito L, Jeon S, Stults-Kolehmainen M, Gerstein M. College Community-Based Physical Activity Support at a Northeast USA Public University During COVID-19: Retrospective Longitudinal Analysis of Intra- Versus Inter-Personal Components for Uptake and Outcome Association (Preprint). JMIR mHealth and uHealth 2023 View
  18. Csuka S, Horvát B, Csordás G, Lakatos C, Martos T. Technology use and health behavior among patients with diabetes: do underlying motives for technology adoption matter?. Frontiers in Digital Health 2025;7 View

Books/Policy Documents

  1. Shan R, Kim C, Spaulding E, Marvel F, Martin S. The Digital Doctor. View