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Artificial Intelligence-Based Educational Guide

NCT07438314 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 300

Last updated 2026-02-27

No results posted yet for this study

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

Interventions

OTHER

Artificial Intelligence-Based educational guide

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

Sponsors & Collaborators

  • Mansoura University

    lead OTHER

Principal Investigators

  • Madiha HN Mohamed, professor · faculty of nursing Mansoura university

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-02-17
Primary Completion
2025-10-10
Completion
2025-12-16

Countries

  • Egypt

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07438314 on ClinicalTrials.gov