The Effect of Artificial Intelligence-Supported Individualized Discharge Education on Postoperative Recovery After Coronary Artery Bypass Grafting: A Randomized Controlled Trial
| Registry | NCT07780994 |
|---|---|
| Status | Not yet recruiting |
| Phase | Not applicable |
| Study type | Interventional; randomized, parallel, masking: none, supportive care |
| Enrollment | 80 (Estimated) |
| Sponsor | Izmir Katip Celebi University (Other) |
| Conditions | Coronary Artery Bypass Grafting, Postoperative Recovery |
| Interventions | Artificial Intelligence-Supported Individualized Discharge Education, Standard Discharge Education (Behavioral) |
| Dates | start 2026-08-20 (estimated), primary completion 2026-11-01 (estimated), completion 2026-11-01 (estimated), first posted 2026-08-24, last updated 2026-08-24 |
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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.
Patients undergoing elective isolated coronary artery bypass grafting will be enrolled and allocated to intervention and control groups using stratified randomization based on age, sex, and health literacy level. Randomization within each stratum will be performed using Randomizer.org.
Patients in the control group will receive the routine standard discharge education used in the cardiovascular surgery clinic. This education will include wound care, medication use, nutrition, physical activity, follow-up appointments, and warning signs after discharge.
Patients in the intervention group will receive the same standard education plus artificial intelligence-supported individualized discharge education. Individualized educational content will be prepared using standardized prompts adapted to each patient's age, sex, education level, health literacy, comorbidities, and surgical characteristics. The educational process will be structured according to Gagné's instructional events, including gaining attention, recalling prior knowledge, providing guidance, eliciting performance, and providing feedback. Teach-back questions will also be individualized to evaluate patient understanding and identify learning needs.
Baseline assessments will be performed 24-48 hours before discharge. Post-intervention assessments will be completed on the day of discharge. Follow-up assessments will be conducted on postoperative day 10 and at 1 month after discharge through clinic visits, telephone interviews, and patient records. Clinical outcomes will include postoperative recovery, readiness for discharge, discharge education satisfaction, self-care and medication adherence, complications, emergency department visits, and hospital readmissions.
Personally identifiable patient information will not be entered into the artificial intelligence system. All artificial intelligence-generated educational content will be reviewed by the research nurse and the relevant physician for clinical accuracy, safety, comprehensibility, and appropriateness before being delivered to patients.
| Arm | Type | Interventions | Description |
|---|---|---|---|
| Artificial Intelligence-Supported Individualized Discharge Education | Experimental | Behavioral: Artificial Intelligence-Supported Individualized Discharge Education | Participants in this arm will receive the routine standard discharge education plus artificial intelligence-supported individualized discharge education tailored to their age, sex, education level, health literacy, comorbidities, surgical characteristics, and individual learning needs. The educational process will be structured according to Gagné's instructional events and will include the teach-back method to assess understanding. |
| Standard Discharge Education | Active comparator | Behavioral: Standard Discharge Education | Participants in this arm will receive the routine standard discharge education provided in the cardiovascular surgery clinic, including information on wound care, medication use, nutrition, physical activity, follow-up appointments, and warning signs after discharge. |
Sex: All, ages: 18 Years to any
Inclusion Criteria: * Age 18 years or older. * Having undergone elective isolated coronary artery bypass grafting. * Ability to communicate in Turkish. * No cognitive or communication impairment that would prevent participation in the study. * Voluntary agreement to participate in the study and provision of written informed consent. Exclusion Criteria: * Refusal to participate in the study or failure to provide written informed consent. * Age under 18 years. * Inability to communicate in Turkish. * Cognitive impairment, delirium, dementia, or a severe psychiatric condition preventing completion of the data collection tools. * Having undergone emergency surgery. * Presence of a severe postoperative complication preventing delivery of the planned discharge education. * Inability to be reached during the follow-up period. * Incomplete completion of the data collection forms. * Withdrawal from the study at any stage.