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NOT YET RECRUITING
NCT07695623
NA

Mobile Video Education and Machine Learning-Based Risk Prediction in Neonatal Seizure Management

Sponsor: Istanbul Saglik Bilimleri University

View on ClinicalTrials.gov

Summary

This mixed-methods study will develop a machine learning-based model to identify infants at high risk of seizure recurrence after discharge from the neonatal intensive care unit. Based on qualitative interviews with mothers, a mobile video-supported education program will be developed. In the randomized controlled phase, mothers of high-risk infants will be assigned to intervention and control groups to evaluate the effect of the education on knowledge and anxiety levels during follow-up.

Official title: Machine Learning-Based Risk Prediction in Neonatal Seizure Management and the Effect of Mobile Video-Supported Education on Parental Knowledge and Anxiety Levels: A Mixed-Methods Study

Key Details

Gender

FEMALE

Age Range

18 Years - Any

Study Type

INTERVENTIONAL

Enrollment

60

Start Date

2026-07-04

Completion Date

2028-12-31

Last Updated

2026-07-10

Healthy Volunteers

No

Interventions

BEHAVIORAL

Mobile Video-Supported Education

The mobile video-supported education program will be provided to mothers of high-risk infants in addition to standard discharge education. The program will include video-based educational content on neonatal seizure recognition, safety precautions, antiseizure medication management, emergency response, and follow-up care after discharge. The education content will be developed based on qualitative interviews with mothers and will aim to improve maternal knowledge and reduce anxiety related to neonatal seizure management.