The study aimed to evaluate the effectiveness of an artificial intelligence-based educational guide to prevent surgical site infection among women delivering via cesarean section. Research hypotheses: H0: An artificial intelligence-based educational guide will not have any effect on reducing the rate of surgical site infection among women delivering via caesarean section. H1: An artificial intelligence-based educational guide will have a significant positive effect on reducing the rate of surgical site infection among women delivering via cesarean section. A purposive sample of 300 CS delivered women was divided randomly by using computer-generated randomization. into a control and intervention group, 150 women each. The control group received standard care. The intervention group received standard care plus the Artificial Intelligence guide * After discharge, the researcher contacts study subjects every day by WhatsApp and phone call for any questions and to remind them of the upcoming follow-up visit. * Women were asked to photograph the incision site and send it via WhatsApp using an end-to-end encrypted messaging platform to evaluate the wound condition. All photos were deleted immediately after completing the study for women's privacy. * At the 10th postoperative day (Ā±3 days), a follow-up was performed in the Outpatient Clinic because the majority of SSIs developed between POD5 and POD10, and due to the importance of timely identification and referral of SSIs. * According to the study protocol, all women were followed until 30 days after CS. Follow-up was performed in the outpatient clinic, and post-CS SSI screening questions were asked, a physical examination of the patient and determined whether the patient had an SSI as per the Centers for Disease Control and Prevention definition.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
A structured interview Questionnaire
Timeframe: 30 days after CS