ArticleJMIR mHealth and uHealth2020
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.
Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Digital Health Interventions for Cardiometabolic Health Outcomes in Rural and Remote Australia: A Systematic Review.The Australian journal of rural health · 2025Pooled it
- Digital Health Technologies for Long-term Self-management of Osteoporosis: Systematic Review and Meta-analysis.JMIR mHealth and uHealth · 2022Pooled it
- Predicting Long-Term Engagement in mHealth Apps: Comparative Study of Engagement Indices.Journal of medical Internet research · 2024Trial
- The "Worktivity" mHealth intervention to reduce sedentary behaviour in the workplace: a feasibility cluster randomised controlled pilot study.BMC public health · 2021Trial
- Real-World Long-Term Engagement With a Mobile App Intervention to Improve Self-Management of Type 2 Diabetes Mellitus in China (SMARTDiabetes): Mixed Methods Study.JMIR mHealth and uHealth · 2026Article
- Factors Influencing Continuance Intention for Online Consultations Among Survivors of Cancer: Grounded Theory Study.Journal of medical Internet research · 2026Article
- College Community-Based Physical Activity Support at a Public University During the COVID-19 Pandemic: Retrospective Longitudinal Analysis of Intra- Versus Interpersonal Components for Uptake and Outcome Association.JMIR mHealth and uHealth · 2025Article
- Technology use and health behavior among patients with diabetes: do underlying motives for technology adoption matter?Frontiers in digital health · 2025Article
- Exploring mHealth app utilization for diabetes self-management: survey insights from a northern district in Malaysia.BMC public health · 2024Article
- 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 · 2023Article
- A New Approach to Enhancing Engagement in eHealth Apps.Interactive journal of medical research · 2022Article
- Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review.JMIR mHealth and uHealth · 2022Article
- 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 · 2022Article
- Evaluating a Strengths-Based mHealth Tool (MyStrengths): Explorative Feasibility Trial.JMIR formative research · 2021Article
- Evaluating Asthma Mobile Apps to Improve Asthma Self-Management: User Ratings and Sentiment Analysis of Publicly Available Apps.JMIR mHealth and uHealth · 2020Article
- Review
- A review of the factors influencing adoption of digital health applications for people living with dementia.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMobile health apps are commonly used to support diabetes self-management (DSM). However, there is limited research assessing whether such apps are able to meet the basic requirements of retaining and engaging users.
objectiveThis study aimed to evaluate participants' retention and engagement with My Care Hub, a mobile app for DSM.
methodsThe study employed an explanatory mixed methods design. Participants were people with type 1 or type 2 diabetes who used the health app intervention for 3 weeks. Retention was measured by completion of the postintervention survey. Engagement was measured using system log indices and interviews. Retention and system log indices were presented using descriptive statistics. Transcripts were analyzed using content analysis to develop themes interpreted according to the behavioral intervention technology theory.
resultsOf the 50 individuals enrolled, 42 (84%) adhered to the study protocol. System usage data showed multiple and frequent interactions with the app by most of the enrolled participants (42/50, 84%). Two-thirds of participants who inputted data during the first week returned to use the app after week 1 (36/42, 85%) and week 2 (30/42, 71%) of installation. Most daily used features were tracking of blood glucose (BG; 28/42, 68%) and accessing educational information (6/42, 13%). The interview results revealed the app's potential as a behavior change intervention tool, particularly because it eased participants' self-care efforts and improved their engagement with DSM activities such as BG monitoring, physical exercise, and healthy eating. Participants suggested additional functionalities such as extended access to historical analytic data, automated data transmission from the BG meter, and periodic update of meals and corresponding nutrients to further enhance engagement with the app.
conclusionsThe findings of this short-term intervention study suggested acceptable levels of participant retention and engagement with My Care Hub, indicating that it may be a promising tool for extending DSM support and education beyond the confines of a physical clinic.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.