Artificial Intelligence-Based Educational Guide

NCT07438314 | Completed DMC

• 1 other identifier: 0657
• Study Type: interventional
• Target: 300
• Locations: 1 country
• Sites: 1

Brief Summary

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 (±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.

Conditions

Surgical Site Infection

Outcome Measures

Primary Outcomes (1)

• A structured interview Questionnaire

  This questionnaire consists of two parts: Part one is to obtain information about cesarean section women's demographic and obstetric characteristics (Age, Residence, Obstetric characteristics, Parity, Gestational age, Labor before operation, Status of membrane) and phone number Part two: to obtain information about medical history (pre-existing conditions, diabetes mellitus, anemia, obesity, hypertension). Part three: to obtain information about cesarean section women's Operational characteristics (Type of the CS, Duration of CS, pre and postoperative antibiotic prophylaxis, Type of Abdominal incision, Post-operative hospital stay, Type of Anesthesia, intraoperative complications, Bleeding (\> 1000 ml), blood transfusion, duration of operation, days in hospital postoperatively, patients' medication list and from the discharge list

  30 days after CS

Secondary Outcomes (1)

• Criteria for defining surgical site infection (SSI). From US Centers for Disease Control and Prevention (CDC definition)(CDC, 2007).

  30 days after CS

Study Arms (2)

AI intervention

EXPERIMENTAL

* 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 postoperative day (±3 days), 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 (Sway et al., 2019). * 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 was determined whether the patient had an SSI as per the Centers for Disease Control and Prevention definition Gave all instruction

Other: Artificial Intelligence-Based educational guide

ordinary intervention

ACTIVE COMPARATOR

women receive the usual nursing care

Other: Artificial Intelligence-Based educational guide

Interventions

Artificial Intelligence-Based educational guide OTHER

The artifactual intelligence-based educational guide regarding cesarean section wound care provided for women after delivery and followed through with Daily educational messages, interactive dialogue, Reminders and alerts, Automated symptom checklists, and Photo-based wound monitoring

AI intervention; ordinary intervention

Eligibility Criteria

• Age: 18 Years+
• Gender Eligibility Details: adult fertile women
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Women aged 20-60 years who delivered via cesarean section (CS).
• Own a smartphone with internet access.
• Have basic digital literacy, defined as the ability to use mobile applications, read text messages, and communicate via WhatsApp or similar platforms.
• Agree to participate voluntarily and provide informed consent.

You may not qualify if:

• Women with severe comorbid medical or psychiatric conditions that may affect their participation or comprehension.
• Women without smartphone access or with limited digital skills that prevent them from interacting with the AI-based educational guide.
• Women with communication difficulties (e.g., hearing or speech impairment) that hinder engagement with the intervention.

Sponsors & Collaborators

• Mansoura University: lead

Study Sites (1)

Faculty of Nursing

Mansoura / Egypt, Mansoura, 35516, Egypt

Location

MeSH Terms

Conditions

Surgical Wound Infection

Condition Hierarchy (Ancestors)

Wound Infection; Infections; Postoperative Complications; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Madiha HN Mohamed, professor

  faculty of nursing Mansoura university

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: PREVENTION
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: professor

Study Record Dates

• First Submitted: February 13, 2026
• First Posted: February 27, 2026
• Study Start: February 17, 2025
• Primary Completion: October 10, 2025
• Study Completion: December 16, 2025
• Last Updated: February 27, 2026

Record last verified: 2026-02

Data Sharing

• IPD Sharing: Will not share

Locations

EG (1)