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AI-Based Personalized Self-Management for Patients With Heart Failure

StatusNot Yet Recruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗

Record History

  1. Study First Submitted
Alexandria University
178 trials monitored
See 2 trials at risk
Heart Disease
8,786 trials monitored
See 412 trials at risk
Heart Failure
1,995 trials monitored
See 111 trials at risk
This study aims to evaluate the effectiveness of an AI-based personalized self-management intervention on self-care behaviors and health-related quality of life among patients with chronic heart failure. Using a two-phase sequential explanatory mixed-methods design, Phase I consists of a randomized controlled trial comparing a 12-week AI-guided self-management intervention plus usual care with usual care alone. Self-care behaviors and health-related quality of life will be assessed at baseline, 6 weeks, and 12 weeks. Phase II will involve semi-structured interviews with a purposively selected subgroup of intervention participants to explore their experiences with the AI-based intervention and to explain the quantitative findings. The study seeks to generate evidence on the effectiveness and patient acceptability of AI-supported self-management in heart failure care.
Trial Details
NCT Number NCT07841665
Lead Sponsor Alexandria University
Conditions
(from sponsor)		 Heart Failure
Related terms Heart Failure
Enrollment 150 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov