Skip to content
Open access · US-GOV via ClinicalTrials.gov Clinical trial

The Effects of "Social Optimization Chat for Interactive Learning for Heart Failure" (SOCIAL_HF) on Improving Social Frailty: A Randomized Controlled Trial

Authors not listed

The University of Hong Kong · 2025

Abstract

The goal of this clinical trial is to learn whether the WeChat-based program "Social Optimization Chat for Interactive Learning for Heart Failure" (SOCIAL\_HF) can improve social frailty in elderly patients with heart failure. The main questions it aims to answer are: Can a 6-week WeChat online group interactive learning program (SOCIAL\_HF) improve social frailty? Does the intervention enhance self-care abilities, social participation, and perceived social support? Researchers will compare SOCIAL\_HF to usual care (self-study heart failure self-care manual) to assess whether SOCIAL\_HF can improve social functioning. Participants will: Engage in weekly WeChat video meetings for six weeks (Participate in peer sharing and collaborative tasks). Complete daily health task check-ins. Access online self-care resources.

◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:

Read at source →

Provenance

Source
ClinicalTrials.gov
Canonical
link ↗
Fetched
2026-10-21 MST

Cite this

APA
Anonymous. (2025). The Effects of "Social Optimization Chat for Interactive Learning for Heart Failure" (SOCIAL_HF) on Improving Social Frailty: A Randomized Controlled Trial. <em>The University of Hong Kong</em>. https://clinicaltrials.gov/study/NCT07234565
Vancouver
Anonymous. The Effects of "Social Optimization Chat for Interactive Learning for Heart Failure" (SOCIAL_HF) on Improving Social Frailty: A Randomized Controlled Trial. The University of Hong Kong. 2025.
BibTeX
@misc{anon2025TheEff, title = {The Effects of "Social Optimization Chat for Interactive Learning for Heart Failure" (SOCIAL_HF) on Improving Social Frailty: A Randomized Controlled Trial}, author = {Anonymous}, journal = {The University of Hong Kong}, year = {2025}, }

Research neighborhood

References, citing works, and semantically nearest findings. Click a node to open it.

Related findings