ArticleApplied clinical informatics2022
Technology Acceptance of a Mobile Application to Support Family Caregivers in a Long-Term Care Facility.
Article in Applied clinical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Article
- Facilitating use of mobile health in mental health care: Perspectives of patient, caregiver and provider in Nigeria.Global mental health (Cambridge, England) · 2026Article
- Thematic landscapes and temporal trends of disability technology adoption: insights from Structural Topic Modelling.Frontiers in digital health · 2026Review
- Family caregivers' acceptance of Artificial Intelligence-enabled technologies for providing care to older adults.BMC geriatrics · 2025Article
- Telemedicine and AI-Powered Chatbots: Potential and Challenges for Home Care Provided by Family Caregivers.Healthcare (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFamily caregivers are unpaid individuals who provide care to people with chronic conditions or disabilities. Family caregivers generally do not have formal care-related training. However, they are an essential source of care. Mobile technologies can benefit family caregivers by strengthening communication with care staff and supporting the monitoring of care recipients.
objectiveWe conducted a mixed-method study to evaluate the acceptance and usability of a mobile technology called the Smart Care System.
methodsUsing convenience sampling, we recruited 27 family caregivers to evaluate the mobile Smart Care System (mSCS). In the quantitative phase, we administered initial and exit questionnaires based on the Unified Theory of Acceptance and Use of Technology. In the qualitative phase, we conducted focus groups to explore family caregivers' perspectives and opinions on the usability of the mSCS. With the quantitative data, we employed univariate, bivariate, and partial least squares analyses, and we used content analysis with the qualitative data.
resultsWe observed a high level of comfort using digital technologies among participants. On average, participants were caregivers for an average of 6.08 years (standard deviation [SD] = 6.63), and their mean age was 56.65 years (SD = 11.62). We observed a high level of technology acceptance among family caregivers (7.69, SD = 2.11). Behavioral intention (β = 0.509,
conclusionThe technology showed high technology acceptance and intention to use among family caregivers in a long-term care setting. Facilitating conditions influenced acceptance. Therefore, it would be important to identify and optimize these conditions to ensure technology uptake.
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