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Mobile Video Education and Machine Learning-Based Risk Prediction in Neonatal Seizure Management
Sponsor: Istanbul Saglik Bilimleri University
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
Conditions
Interventions
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.