Supporting Dementia Caregiving With a Mobile Care Ecosystem: Development and Mixed Methods Study
Chetna Malhotra, Yanzhen Yue, Chandrika Ramakrishnan, Shimoni Shah, Wenda Chen, Philip Yap, Chin Yee Cheong, Irene Teo, Shiou-Liang Wee, Xiangming Lan, Yi Chen, Chee Seng Chong, Xueying Huang, Ivy Chua

TL;DR
This paper describes the development and testing of CareBuddy, a mobile app designed to support dementia caregivers with personalized tools and resources.
Contribution
The study introduces CareBuddy, a theory-driven mobile care ecosystem tailored for dementia caregivers, validated through mixed methods.
Findings
CareBuddy achieved high usability scores, exceeding the benchmark in system usability tests.
Caregivers highly rated the app's ease of use, interface, and usefulness in managing dementia care.
Interactive features like the chatbot and social portal were particularly valued by users.
Abstract
Dementia presents substantial challenges for informal caregivers. A gap remains in technology-driven personalized support tailored to caregivers’ needs. 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. 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. In phase 1, the…
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Taxonomy
TopicsMobile Health and mHealth Applications · Dementia and Cognitive Impairment Research · Technology Use by Older Adults
