AI-guided self-management support for people living with heart failure
Tests an AI-guided self-care program in adults with chronic heart failure.
Plain-language title generated from the registry record
Registry title: AI-Based Personalized Self-Management for Patients With Heart Failure
Key facts
- Where
- Alexandria, EgyptSee the site
Where in Egypt
- Faculty of Nursing, Alexandria UniversityAlexandria, EgyptNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Alexandria University
- Trial code
- NCT07841665
- Record updated
- 21 October 2026
- Original description
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.Read full original descriptionShow less
Effectiveness of AI-Based Personalized Self-Management Intervention on Self-Care Behaviors and Health-Related Quality of Life Among Patients With Heart Failure
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.
Inclusion: Adults aged 18 years or older. Confirmed diagnosis of chronic heart failure (NYHA Class II or III). Clinically stable for at least 1 month before enrollment. Able to read and understand Arabic. Own or have regular access to a smartphone compatible with the AI-based application; Willing and able to provide informed consent and participate throughout the 12-week study period.
Exclusion: NYHA Class IV or end-stage heart failure. Severe cognitive impairment or any condition preventing reliable self-reporting or informed consent; Severe psychiatric illness that may interfere with study participation. Participation in another heart failure self-management or behavioral intervention program during the study period; Any serious medical condition deemed by the investigators to make participation inappropriate or unsafe; Inability to use a smartphone or the study application despite orientation and support.
Eligibility Criteria.