ArticleJMIR aging2026
Adoption and Use of a Smart Home Connected Care System by Older Adults: Mixed Methods Study.
Article in JMIR aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSmart home technologies are often promoted as a means to support independent living and alleviate pressure on health and care systems. However, adoption among older adults remains low, and little is known about how passive, ambient technologies are experienced over time.
objectiveThis study aimed to examine the adoption of a Connected Care System among older adults and their caregivers in a real-world deployment, testing the applicability of the Unified Theory of Acceptance and Use of Technology model and identifying design considerations for future systems.
methodsA mixed methods study was conducted with 91 older adults who used the Connected Care System for approximately 6 months. Quantitative survey data were analyzed using structural equation modeling to assess predictors of behavior intention. Thematic analysis of open-ended survey responses was used to explore participants' experiences and perceptions of the system.
resultsPerceived ease of use (β=0.075; P=.02) and facilitating conditions (β=0.232; P<.001) were significant predictors of behavior intention, while perceived usefulness and social influence were not. Thematic analysis revealed that older adults often conceptualized usefulness in emotional and relational terms, such as peace of mind and caregiver reassurance. Adoption was frequently described as a shared process involving family members. Key barriers included low confidence in setup and reliability concerns, while valued features included passive monitoring, increased independence, and reduced caregiver burden.
conclusionsThe findings suggest that conventional adoption models require adaptation to account for passive, caregiver-mediated smart home systems. Emotional and relational benefits, rather than task efficiency, drive perceived usefulness. Design recommendations are offered to support user-friendly, personalized, and relationally aware smart home technologies that align with the realities of aging in place.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.