ArticleJMIR aging2025
Voice-Based Remote Care Program for Vulnerable Older Adults in a Rural Community: Single-Arm Pilot Clinical Study.
Article in JMIR aging, 2025. 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
6 authors.
Funding
Abstract
Background: Voice-based digital health technologies are highly feasible and acceptable tools for supporting older adults. However, their development has rarely focused on caregiving needs, and it is often poorly integrated with existing care services, thereby limiting their sustained effect. Objective: This study aimed to evaluate the feasibility and effectiveness of a comprehensive voice-based remote care program developed in partnership with a local public health center. Methods: A single-center, single-arm clinical study involving community-dwelling, socioeconomically vulnerable older adults was conducted using a Clinical Frailty Scale of 4-5. Participants received a 6-month voice-based care program comprising smart speaker daily check-ins, an emergency response system, and artificial intelligence-driven well-being check calls. These components were integrated with the public health center for continuous monitoring. The primary outcome was caregiver burden, assessed using the Korean version of the Zarit Burden Interview. Secondary outcomes include depression (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7), and quality of life (Korean version of the Control, Autonomy, Self-realization, and Pleasure scale). Results: Among 100 enrolled participants, 96 (96%) completed the program. The caregiver burden slightly decreased from 17.1-16.2 points (mean difference -1, 95% CI -2.17 to 0.24; P=.12). However, caregivers reported a significant reduction in their perception of being the sole support provider (P=.003). Among older adults, significant improvements were observed in depression (Patient Health Questionnaire-9; P<.001), anxiety (Generalized Anxiety Disorder-7; P=.008), and quality of life (Korean version of the Control, Autonomy, Self-Realization, and Pleasure scale; P =.048).. Program adherence was high, with participants engaging for a median of 184 (IQR 154-203; 186/214, 87%) days. Conclusions: Whereas the voice-based remote care program did not significantly reduce the overall caregiver burden, it significantly reduced the perception of the caregivers as being the sole support system. Furthermore, it influenced the psychological well-being of older adults by reducing depression and anxiety and enhancing their quality of life. High adherence and engagement enhance the feasibility and acceptability of scalable digital health interventions for vulnerable older adults in rural settings.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.