Artificial Intelligence-Supported Individualized Discharge Education After Coronary Artery Bypass Grafting
NCT07780994 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 80
Last updated 2026-08-24
Summary
This randomized controlled trial aims to evaluate the effect of artificial intelligence-supported individualized discharge education on postoperative recovery in patients undergoing coronary artery bypass grafting. A total of 80 patients will be randomly assigned to an intervention group or a control group. Both groups will receive standard discharge education, while the intervention group will additionally receive individualized discharge education generated with artificial intelligence based on patients' sociodemographic and clinical characteristics, health literacy level, and learning needs. The intervention will be structured according to Gagné's instructional events and will include the teach-back method to assess understanding. Outcomes will include readiness for hospital discharge, postoperative recovery, satisfaction with discharge education, self-care adherence, complications, and unplanned health care use. Assessments will be conducted before discharge, on the day of discharge, and during follow-up after discharge.
Conditions
- Coronary Artery Bypass Grafting
- Postoperative Recovery
Interventions
- BEHAVIORAL
-
Artificial Intelligence-Supported Individualized Discharge Education
Participants will receive individualized discharge education supported by artificial intelligence in addition to routine standard discharge education. The content will be tailored to individual characteristics, health literacy, comorbidities, surgical characteristics, and learning needs. The education will be structured according to Gagné's instructional events and will include the teach-back method.
- BEHAVIORAL
-
Standard Discharge Education
Routine discharge education provided in the cardiovascular surgery clinic, including wound care, medication use, nutrition, physical activity, follow-up appointments, and warning signs after discharge.
Sponsors & Collaborators
-
Izmir Katip Celebi University
lead OTHER
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SUPPORTIVE_CARE
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-08-20
- Primary Completion
- 2026-11-30
- Completion
- 2026-11-30
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