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

NCT07780994 | Not Yet Recruiting

• 1 other identifier: KVC-AI-2026-01
• Study Type: interventional
• Target: 80
• Locations: 0 countries
• Sites: N/A

Brief 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

Keywords

Artificial Intelligence; Discharge Education; Individualized Education; Coronary Artery Bypass Grafting; Postoperative Recovery; Health Literacy

Outcome Measures

Primary Outcomes (2)

• Postoperative Recovery Assessed Using the Post-Discharge Surgical Recovery Scale

  Postoperative recovery will be assessed using the Post-Discharge Surgical Recovery Scale. The scale consists of 15 items, each scored from 1 to 10. The raw total score ranges from 15 to 150. Higher scores indicate better postoperative recovery. The scale evaluates postoperative recovery across areas including pain, mobility, self-care ability, activity level, and return to daily life.

  10 days and 1 month after discharge

• Unplanned Health Care Utilization Assessed by Emergency Department Visits and Hospital Readmissions

  Unplanned health care utilization will be assessed based on emergency department visits and hospital readmissions occurring during the 30-day period after discharge. Information will be obtained through patient follow-up and, when available, verified using hospital records.

  Within 30 days after discharge

Secondary Outcomes (3)

• Change in Readiness for Hospital Discharge Assessed Using the Readiness for Hospital Discharge Scale-Short Form

  Baseline (24-48 hours before hospital discharge) and within 1-3 days after the intervention

• Satisfaction With Discharge Education Assessed Using the Discharge Education Satisfaction Scale for Surgical Patients

  Within 1-3 days after the intervention

• Postoperative Complications Assessed Through Patient Follow-up and Medical Records

  Within 30 days after discharge

Study Arms (2)

Artificial Intelligence-Supported Individualized Discharge Education

EXPERIMENTAL

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.

Behavioral: Artificial Intelligence-Supported Individualized Discharge Education

Standard Discharge Education

ACTIVE COMPARATOR

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.

Behavioral: Standard Discharge Education

Interventions

Artificial Intelligence-Supported Individualized Discharge Education BEHAVIORAL

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.

Artificial Intelligence-Supported Individualized Discharge Education

Standard Discharge Education BEHAVIORAL

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.

Standard Discharge Education

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• 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.

Sponsors & Collaborators

• Izmir Katip Celebi University: lead

Central Study Contacts

Devrim Ö YILMAZ

CONTACT

+09525593303; devrimozgeyilmaz@gmail.com

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Masking Details: Participants and intervention providers will not be blinded due to the nature of the educational intervention. The researcher performing the statistical analysis will be blinded to group allocation.
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Model Details: Participants will be randomly assigned in parallel to either the intervention group or the control group in a 1:1 ratio.

Study Record Dates

• First Submitted: August 12, 2026
• First Posted: August 24, 2026
• Study Start: August 20, 2026
• Primary Completion (Estimated): November 1, 2026
• Study Completion (Estimated): November 1, 2026
• Last Updated: August 24, 2026

Record last verified: 2026-08

Data Sharing

• IPD Sharing: Will not share