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CABG-AI-Supported Discharge Education

The Effect of Artificial Intelligence-Supported Individualized Discharge Education on Postoperative Pain, Anxiety, Stress Response, Recovery, and Discharge Education Satisfaction in Patients Undergoing Coronary Artery Bypass Graft Surgery: A Randomized Controlled Trial

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT07503678
Acronym
AI-D-E-CABG
Enrollment
128
Registered
2026-03-31
Start date
2026-06-01
Completion date
2027-02-01
Last updated
2026-03-31

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anxiety, Coronary Artery Disease, Discharge Education, Nursing, Pain, Patient Discharge, Postoperative Care, Recovery of Function, Stress, Physiological, Surgical Nursing

Keywords

Coronary Artery Disease, Postoperative Care, Patient Discharge, discharge education, Surgical Nursing

Brief summary

This randomized controlled trial will evaluate the effectiveness of artificial intelligence-supported individualized discharge education for patients undergoing coronary artery bypass graft (CABG) surgery. Participants will be assigned to either the intervention group, which will receive personalized AI-generated discharge education delivered through a nurse-avatar video in addition to standard verbal education, or the control group, which will receive standard discharge education only. The study will compare postoperative pain, anxiety, physiological stress response, recovery, and satisfaction with discharge education between the two groups. Outcomes will be measured during hospitalization and at the routine postoperative follow-up visit. The findings may help improve patient education methods and postoperative recovery in cardiac surgery patients.

Detailed description

Coronary artery bypass graft (CABG) surgery is a major cardiac procedure that requires structured discharge education to support patients' physical, psychological, and behavioral recovery after hospitalization. Traditional discharge teaching provided by nurses is often limited by time constraints, varying patient needs, and inconsistent information delivery. Recent advances in artificial intelligence (AI) offer new opportunities to provide individualized, understandable, and repetitive patient education that may enhance postoperative recovery. This randomized controlled trial aims to evaluate the effectiveness of AI-supported individualized discharge education for patients undergoing CABG surgery. The intervention consists of a personalized discharge education script generated by an advanced large-language-model system (ChatGPT), structured according to 6 main topics and 24 sub-domains, and then converted into a nurse-avatar video. Patients in the intervention group will receive this AI-supported education in addition to the standard verbal discharge education provided by cardiovascular surgery nurses. Patients in the control group will receive only the standard discharge education based on current hospital protocols. The study will assess multiple postoperative outcomes, including pain intensity, anxiety levels, physiological stress response (cortisol, adrenaline, noradrenaline, ACTH, glucose, and insulin), recovery after discharge using a validated surgical recovery scale, and satisfaction with discharge education. Measurements will be collected at four time points: the day before discharge, the morning of discharge before education, immediately after the completion of discharge education, and at the routine postoperative follow-up visit. A total of 128 participants will be randomized into two groups using block randomization stratified by sex. All data will be collected using validated scales and standardized laboratory procedures. This study is expected to provide evidence on whether AI-supported discharge education can improve postoperative recovery, reduce stress and anxiety, and increase satisfaction among CABG patients. The results may contribute to the development of innovative, technology-enhanced education models for surgical patients and support the integration of AI tools into nursing practice.

Interventions

BEHAVIORALAI-Supported Individualized Discharge Education

This intervention consists of personalized discharge education generated by an advanced artificial intelligence system (ChatGPT) based on the patient's clinical, social, and psychosocial characteristics. The content is structured into 6 main topics and 24 sub-sections. The script is converted into a nurse-avatar video and delivered to the patient via a mobile device. This intervention is provided in addition to the standard verbal discharge education routinely given by cardiovascular surgery nurses.

This intervention consists of routine verbal discharge education provided by cardiovascular surgery nurses according to standard hospital protocols. It includes essential postoperative instructions, medication guidance, wound care instructions, activity recommendations, and follow-up information. No AI-generated or video-based educational materials are provided in this intervention.

Sponsors

Hasan Kalyoncu University
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE

Masking description

No masking was used. This is an open-label trial, and no parties were blinded to group assignment.

Intervention model description

Participants will be randomly assigned to one of two parallel groups. The intervention group will receive AI-supported individualized discharge education delivered through a nurse-avatar video in addition to standard verbal education. The control group will receive standard discharge education only. Each participant will remain in the group to which they were originally assigned throughout the study.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Patients who have undergone coronary artery bypass graft (CABG) surgery. * Age 18 years or older. * Hemodynamically stable at the time of enrollment. * Able to understand and communicate in Turkish. * Able to use or have access to a mobile phone capable of viewing the educational video. * Able to provide informed consent. * Scheduled for routine postoperative follow-up at the study hospital.

Exclusion criteria

* Patients undergoing emergency CABG surgery. * Presence of severe cognitive impairment that prevents understanding or following instructions. * Diagnosed psychiatric disorders (e.g., schizophrenia, severe depression) that interfere with study participation. * Severe vision or hearing impairment that prevents receiving the education. * Presence of postoperative complications requiring intensive care readmission. * Patients with endocrine disorders affecting stress biomarkers (e.g., Cushing's syndrome, Addison's disease). * Chronic use of corticosteroids or medications that significantly alter cortisol levels. * Patients who decline to participate or withdraw consent. * Patients who are unable to complete follow-up assessments.

Design outcomes

Primary

MeasureTime frameDescription
Pain IntensityBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeAnxiety will be measured using a 10-cm Visual Analog Scale (VAS). Participants will indicate their perceived level of anxiety on a horizontal line ranging from 0 to 10, where 0 represents "no anxiety" and 10 represents "the highest possible level of anxiety." The score is obtained by measuring the distance in centimeters from the left end of the scale to the participant's mark, producing a continuous value between 0 and 10. Higher scores indicate higher levels of anxiety. This measure allows for sensitive detection of changes in anxiety over time. No threshold or categorical classification is used; all results are reported as continuous VAS scores.
Anxiety LevelBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeAnxiety will be assessed using the Visual Analog Scale (VAS). The scale ranges from 0 to 10, where higher scores indicate greater anxiety levels.
Serum Cortisol LevelBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargePhysiological stress will be evaluated by measuring serum cortisol levels obtained from venous blood samples. Higher cortisol levels indicate increased physiological stress response.
Postoperative RecoveryBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargePostoperative recovery will be evaluated using a validated postoperative recovery scale assessing physical, emotional, and functional recovery. Higher scores indicate better postoperative recovery.
Satisfaction with Discharge EducationPre-discharge (within 24 hours before discharge) and 4 weeks (±3 days) post-dischargeSatisfaction with discharge education will be measured using a validated satisfaction scale assessing patients' satisfaction with the information received before discharge. Higher scores indicate greater satisfaction.
Blood Pressure - SystolicBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeSystolic blood pressure will be measured using a calibrated clinical blood pressure monitor and recorded in mmHg. Higher values indicate higher arterial pressure during cardiac contraction.
Blood Pressure - DiastolicBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeDiastolic blood pressure will be measured using a calibrated clinical blood pressure monitor and recorded in mmHg. Higher values indicate arterial pressure during cardiac relaxation.
Respiratory RateBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeRespiratory rate will be measured by counting the number of chest rises over one minute and recorded as breaths per minute (breaths/min). Higher values indicate increased respiratory effort or possible respiratory distress.
Oxygen Saturation (SpO₂)Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeOxygen saturation will be measured using pulse oximetry and recorded as the percentage of oxygen-saturated hemoglobin in arterial blood. Lower values indicate impaired oxygenation.
Body TemperatureBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeBody temperature will be measured using a digital thermometer and recorded in degrees Celsius (°C). Deviations from normal temperature may indicate infection or inflammatory response.

Secondary

MeasureTime frameDescription
Heart RateBaseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-dischargeHeart rate will be measured using a clinical monitor and recorded in beats per minute (bpm). Higher values indicate increased cardiac activity.

Contacts

CONTACTUğur Akman, RN, MSc
ugurkman@gmail.com+905428155049

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Apr 1, 2026