ArticleJMIR aging2025
Supporting Dementia Caregiving With a Mobile Care Ecosystem: Development and Mixed Methods Study.
Article in JMIR aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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
4 citing papers in PubMed.
- Conversational AI in Cognitive and Social Training for People with Dementia: A Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Beyond Awareness: The Critical Need for Actionable Strategies to Bridge the Knowledge-Practice Gap in Hepatitis B Prevention.Health science reports · 2026Article
- Exploring Influencing Factors of Medication Adherence Among Chinese Patients With Alzheimer Disease: Delphi Study Informing Future Artificial Intelligence-Supported Interventions.JMIR formative research · 2026Article
- The End of Life With Dementia in Asian Countries: Barriers, Facilitators and a Research Agenda for Advancing a Palliative Approach.Journal of the American Geriatrics Society · 2026Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Dementia presents substantial challenges for informal caregivers. A gap remains in technology-driven personalized support tailored to caregivers' needs. Objective: This study aimed to develop a theory-driven, multicomponent mobile app specifically designed for caregivers of individuals with dementia and test its usability among end users. Methods: We developed CareBuddy, a mobile care ecosystem based on the stress process model and user-centered design. The app includes personalized assessments and tailored solutions, an artificial intelligence-driven chatbot, GPS-based location monitoring, peer support, a helpline, telemedicine, health care provider integration, and caregiver self-care resources. Development was informed by interviews with caregivers and stakeholders, followed by a 2-phase pilot test involving 18 and 10 participants, respectively, to assess usability and acceptability. Results: In phase 1, the mean system usability scores increased from 65.4 (SD 11.8) in round 1 to 73.8 (SD 15.9) in round 3, exceeding the benchmark of 68. In phase 2, caregivers rated the app highly, with an overall mean score of 95.4 (SD 8.5) on the Mobile Health App Usability Questionnaire. The domains of ease of use (mean 24.1, SD 2.9), user interface and satisfaction (mean 40.3, SD 3.4), and usefulness (mean 31, SD 3.9) received high Mobile Health App Usability Questionnaire ratings. Participants valued the content focused on dementia management and caregiver well-being. Caregivers appreciated the interactive features: social networking portal, service directory, and conversational large language model. Feedback highlighted areas for improvement, including reducing textual overload and addressing navigational challenges. Conclusions: CareBuddy offers a multifaceted digital solution for dementia caregivers, with high usability and satisfaction. An ongoing trial is evaluating the app's effectiveness in improving caregiver outcomes.
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