Coronary Artery DiseaseAI-D-E-CABGNCT07503678
CABG-AI-Supported Discharge Education
A study testing AI-Supported Individualized Discharge Education and Standard Discharge Education in people with Coronary Artery Disease and Postoperative Care, run by Hasan Kalyoncu University.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Coronary Artery Disease, Postoperative Care, Patient Discharge
- What is being tested?
- AI-Supported Individualized Discharge Education and Standard Discharge Education
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 128 participants
- Where
- No sites listed yet
- Study dates
- 1 Jun 2026to 1 Feb 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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).
Show all 9Show fewer
- 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.
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
Official title: 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
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.
Read the 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.
- Conditions
- Coronary Artery Disease, Postoperative Care, Patient Discharge, Recovery of Function, Anxiety, Pain
- Being tested
- AI-Supported Individualized Discharge Education, Standard Discharge Education
- Keywords
- Coronary Artery Disease, Postoperative Care, Patient Discharge, discharge education, Surgical Nursing
- Medical subject headings
- Coronary Artery Disease, Anxiety Disorders, Pain
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-Supported Individualized Discharge EducationBehavioural
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.
Standard Discharge EducationBehavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| AI-Supported Discharge Education | Experimental | Participants in this arm will receive individualized discharge education generated by an artificial intelligence system (ChatGPT) and delivered through a nurse-avatar video. This education covers 6 main topics and 24 subcomponents tailored to the patient's clinical, social, and psychosocial characteristics. Participants will also receive the standard verbal discharge education routinely provided by cardiovascular surgery nurses. Receives: Behavioral: AI-Supported Individualized Discharge Education; Behavioral: Standard Discharge Education |
| Standard Discharge Education | Active comparator | Participants in this arm will receive only the standard verbal discharge education routinely provided by cardiovascular surgery nurses, based on hospital discharge protocols. No AI-generated or video-based educational materials will be used in this group. Receives: Behavioral: Standard Discharge Education |
What is being measured
The primary outcome is the main question the study is designed to answer.
Pain Intensity
Anxiety 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.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Anxiety Level
Anxiety will be assessed using the Visual Analog Scale (VAS). The scale ranges from 0 to 10, where higher scores indicate greater anxiety levels.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Serum Cortisol Level
Physiological stress will be evaluated by measuring serum cortisol levels obtained from venous blood samples. Higher cortisol levels indicate increased physiological stress response.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Postoperative Recovery
Postoperative recovery will be evaluated using a validated postoperative recovery scale assessing physical, emotional, and functional recovery. Higher scores indicate better postoperative recovery.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Satisfaction with Discharge Education
Satisfaction 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.
Measured: Pre-discharge (within 24 hours before discharge) and 4 weeks (±3 days) post-discharge
Blood Pressure - Systolic
Systolic 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.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Blood Pressure - Diastolic
Diastolic blood pressure will be measured using a calibrated clinical blood pressure monitor and recorded in mmHg. Higher values indicate arterial pressure during cardiac relaxation.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Respiratory Rate
Respiratory 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.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Oxygen Saturation (SpO₂)
Oxygen saturation will be measured using pulse oximetry and recorded as the percentage of oxygen-saturated hemoglobin in arterial blood. Lower values indicate impaired oxygenation.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Body Temperature
Body temperature will be measured using a digital thermometer and recorded in degrees Celsius (°C). Deviations from normal temperature may indicate infection or inflammatory response.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Secondary outcomes (1)
Heart Rate
Heart rate will be measured using a clinical monitor and recorded in beats per minute (bpm). Higher values indicate increased cardiac activity.
Measured: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted31 Mar 2026
- Study start1 Jun 2026 (estimated)
- Primary completion1 Feb 2027 (estimated)
- Study completion1 Feb 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (5)Papers the sponsor has linked to this study.
- Other trials for Coronary Artery DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- 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.
- Masking
- None (open label)
- Enrolment
- 128 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Hasan Kalyoncu University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Uğur Akman, Hasan Kalyoncu University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07503678
- Sponsor's protocol ID
- SBUVAN-KABG-AI-DISCHARGE-EDU-0
- Acronym
- AI-D-E-CABG
- Status last verified
- Mar 2026
- First submitted
- 25 Nov 2025
- Last updated
- 31 Mar 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Ronaldson S., et al. (2022). Patient-centered education in postoperative cardiac care: A systematic review. Heart & Lung, 55, 54-62.
Akbari M., Çelik S. (2015). Effects of nurse-led discharge training on anxiety and recovery in surgical patients. Journal of Perioperative Nursing, 28(4), 215-223.
Minami K., et al. (2020). Effects of discharge education on postoperative recovery in cardiac surgery patients. European Journal of Cardiovascular Nursing, 19(7), 660-668.
Hwang B., et al. (2023). Artificial intelligence in patient education: A scoping review. Patient Education and Counseling, 112, 107-115.
Fredericks S, Guruge S, Sidani S, Wan T. Postoperative patient education: a systematic review. Clin Nurs Res. 2010 May;19(2):144-64. doi: 10.1177/1054773810365994.
PubMed 20435785
Study at a glance
From the registry record, last updated by the sponsor on 31 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- 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
- ClinicalTrials.gov ID
- NCT07503678
- Acronym / sponsor ID
- AI-D-E-CABG / SBUVAN-KABG-AI-DISCHARGE-EDU-0
- Conditions
- Coronary Artery Disease, Postoperative Care, Patient Discharge, Recovery of Function, Anxiety, Pain
- Keywords
- Coronary Artery Disease, Postoperative Care, Patient Discharge, discharge education, Surgical Nursing
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 128 participants (estimated)
- Lead sponsor
- Hasan Kalyoncu UniversityUniversity, hospital or other
- Study start
- 1 Jun 2026 (estimated)
- Primary completion
- 1 Feb 2027 (estimated)
- Study completion
- 1 Feb 2027 (estimated)
- First posted
- 31 Mar 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- 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.
| Arm | Type | Receives |
|---|---|---|
| AI-Supported Discharge Education | Experimental | Behavioral: AI-Supported Individualized Discharge Education, Behavioral: Standard Discharge EducationParticipants in this arm will receive individualized discharge education generated by an artificial intelligence system (ChatGPT) and delivered through a nurse-avatar video. This education covers 6 main topics and 24 subcomponents tailored to the patient's clinical, social, and psychosocial characteristics. Participants will also receive the standard verbal discharge education routinely provided by cardiovascular surgery nurses. |
| Standard Discharge Education | Active comparator | Behavioral: Standard Discharge EducationParticipants in this arm will receive only the standard verbal discharge education routinely provided by cardiovascular surgery nurses, based on hospital discharge protocols. No AI-generated or video-based educational materials will be used in this group. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (7 listed)
- 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.
Key exclusion criteria (9 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AI-Supported Individualized Discharge EducationThis 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. | Behavioural | AI-Supported Discharge Education |
| Standard Discharge EducationThis 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. | Behavioural | AI-Supported Discharge Education, Standard Discharge Education |
Primary outcome
Pain Intensity
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Anxiety 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 Level
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Anxiety 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 Level
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Physiological stress will be evaluated by measuring serum cortisol levels obtained from venous blood samples. Higher cortisol levels indicate increased physiological stress response.
Postoperative Recovery
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Postoperative 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 Education
Time frame: Pre-discharge (within 24 hours before discharge) and 4 weeks (±3 days) post-discharge
Satisfaction 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 - Systolic
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Systolic 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 - Diastolic
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Diastolic 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 Rate
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Respiratory 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)
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Oxygen 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 Temperature
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Body temperature will be measured using a digital thermometer and recorded in degrees Celsius (°C). Deviations from normal temperature may indicate infection or inflammatory response.
1 secondary outcome
Heart Rate
Time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 31 Mar 2026.
- BackgroundRonaldson S., et al. (2022). Patient-centered education in postoperative cardiac care: A systematic review. Heart & Lung, 55, 54-62.
- BackgroundAkbari M., Çelik S. (2015). Effects of nurse-led discharge training on anxiety and recovery in surgical patients. Journal of Perioperative Nursing, 28(4), 215-223.
- BackgroundMinami K., et al. (2020). Effects of discharge education on postoperative recovery in cardiac surgery patients. European Journal of Cardiovascular Nursing, 19(7), 660-668.
- BackgroundHwang B., et al. (2023). Artificial intelligence in patient education: A scoping review. Patient Education and Counseling, 112, 107-115.
- Background: PubMed 20435785Fredericks S, Guruge S, Sidani S, Wan T. Postoperative patient education: a systematic review. Clin Nurs Res. 2010 May;19(2):144-64. doi: 10.1177/1054773810365994.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Questions about this trial
What is this clinical trial studying?
A study testing AI-Supported Individualized Discharge Education and Standard Discharge Education in people with Coronary Artery Disease and Postoperative Care, run by Hasan Kalyoncu University.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 7 inclusion and 9 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 31 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Uğur Akman, RN, MSc (+905428155049, ugurkman@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Pain Intensity (time frame: Baseline (1 day before discharge), pre-discharge (within 24 hours before discharge), and 4 weeks (±3 days) post-discharge). The study lists 10 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07503678, which also lists 5 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 31 Mar 2026.