Skip to content

Evaluation of an artificial intelligence care call service for older adults in the community

Effectiveness of an LLM-based AI care call service in reducing loneliness among community-dwelling, lower-income seniors: a randomized controlled trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ISRCTN
Registry ID
ISRCTN11098754
Enrollment
294
Registered
2025-08-20
Start date
2025-04-18
Completion date
Unknown
Last updated
2025-09-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Social isolation, loneliness, and unmet care needs in older adults Other

Interventions

Participants recruited from four community welfare centers will be randomized to receive either the large language model (LLM)-based AI care call service (intervention group) or usual care (control gr

Sponsors

Seoul National University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Adults aged 65 years or older who are currently receiving the government-supported Customized Senior Care Services, and have not received an AI-based care call service in the past 3 months 2. Care support workers (part-time caregivers) under the Customized Senior Care Services, whose assigned older adults are participating in the study.

Exclusion criteria

Exclusion criteria: 1. Older adults: Participants with communication difficulties due to cognitive impairment, psychiatric conditions, or language barriers (e.g., non-Korean speakers); prior participation in the AI care call within past 3 months 2. Care support workers: None

Design outcomes

Primary

MeasureTime frame
Loneliness score measured using the UCLA Loneliness Scale (short form) at baseline and after 12 weeks

Secondary

MeasureTime frame
Older adults: 1. Well-being score measured using the WHO-5 Well-Being Index at baseline and 12 weeks 2. Depression assessed using the PHQ-9 at baseline and 12 weeks 3. Self-rated health using a one-item question from the WHO World Health Survey and the Korean Community Health Survey (KCHS) at baseline and 12 weeks 4. Cognitive function measured by the Korean Dementia Screening Questionnaire (KDSQ-P) at baseline and 12 weeks 5. Frailty measured by K-FRAIL at baseline and 12 weeks 6. Technology acceptance measured using the Senior Technology Acceptance Model (STAM) scale at baseline and 12 weeks 7. Perceived safety measured using a 5-point Likert scale at baseline and 12 weeks 8. Perceived usefulness of AI service using a 4-point Likert scale at baseline and 12 weeks 9. Satisfaction with AI service (intervention group only) measured using a structured questionnaire at 12 weeks Other measures: 1. Perceived workload and occupational stress measured using items from Daejeon Public Agency for Social Services (5-point Likert Scale) at baseline and 12 weeks 2. Job satisfaction and emotional burnout measured using the Maslach Burnout Inventory at baseline and 12 weeks 3. Care workers’ perception of AI technology measured using Shinners Artificial Intelligence Perception tool at baseline and 12 weeks 4. Qualitative outcome variables on service experience measured using data collected from focus groups and in-depth interviews at the end of the intervention period

Countries

Korea, South

Contacts

Public ContactHongsoo Kim
hk65@snu.ac.kr+82 028802723

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026