AI-supported social help for older adults with chronic heart failure
Official title: Gendered Psychosocial Pathways of Social Frailty in Older Adults With Heart Failure: A Longitudinal Study of an AI-Based Conversational Social-Support Intervention.
Run by Chang Gung University of Science and Technology · NCT07862933 · Data updated 2026-11-12
Researchers will test whether an AI chat-based social support program can help older adults with chronic heart failure feel less socially frail and stay active, compared with regular social activities or usual care.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 60 Years and up |
| Sex | All |
| Enrollment | 174 (estimated) |
| Sponsor | Chang Gung University of Science and Technology Academic / other |
| Locations | 2 sites (New Taipei City, New Taipei City and 1 other locations) |
| Status | Recruiting |
| Started | November 5, 2025 |
| Main results expected | July 2028 |
| Study ends | July 31, 2028 |
| Registry record updated | October 16, 2026 |
| Trial ID | NCT07862933 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 60 or older with chronic heart failure who can communicate in Mandarin or Taiwanese and have access to or can be provided with AI-enabled devices and internet.
✕Probably not a fit
Participants with unstable heart failure, severe comorbidities, major cognitive or communication impairments, or uncorrected sensory deficits may derive limited or no benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study uses a mixed design over three years to explore gender differences in social frailty among older adults with chronic heart failure in Taiwan. Phase 1 assesses baseline clinical features, sarcopenia, physical activity, and multidimensional frailty, using models to identify factors linked to social frailty. Phase 2 randomizes 174 participants into three groups: AI-based conversational social support, community social participation, and control, with assessments before and after the 15–30 minute daily AI interactions or participation activities. Phase 3 follows participants for 12 months to evaluate the durability of any observed effects on emotional state, physical activity, and social frailty. The study combines cross-sectional analysis with an embedded intervention trial and longitudinal follow-up.
Why it matters
Potential benefit: If successful, the AI-based intervention could reduce social frailty and improve well-being and activity levels for older adults with CHF.
How similar studies have gone: Prior work in digital social support has shown promise in related populations, but this specific AI-based conversational approach for CHF-related social frailty is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Participants aged 60 years or older. 2. Diagnosis of chronic heart failure (CHF). 3. Ability to communicate effectively in Mandarin or Taiwanese. Exclusion Criteria: 1. Unstable heart failure. 2. Severe comorbidities, such as end-stage renal disease, advanced hepatic dysfunction, or terminal malignancies. 3. Severe cognitive deficits that impede the ability to provide informed consent or participate in study interventions. 4. Uncorrected visual or hearing impairments that hinder effective communication or interaction with the AI-based conversational social-support intervention. 5. Active psychiatric conditions, including major depression or psychosis, that could interfere with study participation or adherence.
Where it's running
-
New Taipei Municipal Tucheng Hospital (Built and Operated by Chang Gung Medical Foundation)
New Taipei City, New Taipei City, Taiwan Recruiting -
Chang Gung Memorial Hospital, Linkou
Taoyuan, Taoyuan City, Taiwan Recruiting
Study contacts
- Principal investigator: Jeng Wang, PhD — Chang Gung University of Science and Technology, Department of Nursing
- Study coordinator: Jeng Wang, PhD
- Email: jengwang@mail.cgust.edu.tw
- Phone: +886 03-2118999#3435
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.