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.
The infant is classified as high risk according to the machine learning-based risk prediction model developed in the first phase of the study.
The infant is planned to be discharged home from the Neonatal Intensive Care Unit of Başakşehir Çam and Sakura City Hospital.
The mother is 18 years of age or older.
The mother is the primary caregiver responsible for the infant's care.
The infant is transferred to another center before completion of the study process or during the discharge period.
The infant dies during the study period.
The mother has a diagnosed cognitive or psychiatric condition that may prevent her from understanding the educational materials or managing the study process.
The mother has a visual or hearing impairment that may prevent her from following the video content.