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Artificial Intelligence-Supported Individualized Discharge Education After Coronary Artery Bypass Grafting

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

Record History

  1. Study First Submitted
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.
Trial Details
NCT Number NCT07780994
Lead Sponsor Izmir Katip Celebi University
Conditions
(from sponsor)		 Coronary Artery Bypass Grafting, Postoperative Recovery
Enrollment 80 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov