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

October 19, 2026 updated by: Mohamed Fakhry Ahmed Salem, Alexandria University

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.

Study Overview

Status

Not yet recruiting

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Estimated)

150

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

  • Egypt
      • Alexandria, Egypt, 21511
        • Faculty of Nursing, Alexandria University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Eligibility Criteria

Inclusion Criteria:

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 Criteria:

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.

Inability to use a smartphone or the study application despite orientation and support.

Any serious medical condition deemed by the investigators to make participation inappropriate or unsafe.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Experimental: AI-Based Personalized Self-Management Intervention
Device: Experimental: AI-Based Personalized Self-Management Intervention

Participants receive a smartphone-based AI application delivering personalized self-management support for 12 weeks, including symptom monitoring, individualized self-care recommendations, medication and lifestyle reminders, educational content, and real-time guidance alongside usual care.
Active Comparator: Active Comparator: Usual Care
Behavioral: Behavioral: AI-Based Personalized Self-Management Intervention

Participants receive routine heart failure care, including standard education, outpatient follow-up, and prescribed treatment, without access to the AI-based application.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Primary Outcome Measure 1: Self-Care Behavior (EHFScBS-9)
Time Frame: Time Frame: Baseline, Week 6, and Week 12

Description: Change in self-care behavior measured using the 9-item European Heart Failure Self-Care Behaviour Scale (EHFScBS-9). Scores are transformed to a 0-100 scale, with higher scores indicating better self-care behavior.
Time Frame: Baseline, Week 6, and Week 12
Primary Outcome Measure 2: Health-Related Quality of Life (RAND-36)
Time Frame: Time Frame: Baseline, Week 6, and Week 12

Description: Change in health-related quality of life measured using the RAND 36-Item Health Survey (RAND-36). Scores are transformed to a 0-100 scale, with higher scores indicating better health-related quality of life.
Time Frame: Baseline, Week 6, and Week 12

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Secondary Outcome Measure 1: Technology Acceptance of the AI-Based Intervention
Time Frame: Time Frame: Week 12

Description: Technology acceptance measured using an adapted AI Technology Acceptance Questionnaire based on the Modified Technology Acceptance Model (mTAM). The instrument consists of 16 items assessing Perceived Usefulness, Perceived Ease of Use, Behavioral Intention, and User Satisfaction. Items are rated on a 7-point Likert scale, with higher scores indicating greater acceptance of the AI-based intervention.
Time Frame: Week 12
Secondary Outcome Measure 2: Participants' Experiences With the AI-Based Intervention
Time Frame: Time Frame: after completion of the 12-week intervention.

Description: Participants' experiences, perceived benefits, barriers, facilitators, and recommendations regarding the AI-based personalized self-management intervention, assessed through semi-structured interviews and analyzed using thematic analysis.
Time Frame: after completion of the 12-week intervention.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Alexandria University

Investigators

  • Principal Investigator: Mohamed Fakhry Salem, PHD, Alexandria University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

October 1, 2026

Primary Completion (Estimated)

December 1, 2026

Study Completion (Estimated)

January 1, 2027

Study Registration Dates

First Submitted

September 20, 2026

First Submitted That Met QC Criteria

September 20, 2026

First Posted (Actual)

September 25, 2026

Study Record Updates

Last Update Posted (Actual)

October 21, 2026

Last Update Submitted That Met QC Criteria

October 19, 2026

Last Verified

September 1, 2026

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • AIHF-2026-01

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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