[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100646185":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":30,"locations":12,"responsibleParty":40,"collaborators":12,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":12,"eligibilityCriteria":48,"healthyVolunteers":44,"sex":49,"minAge":50,"maxAge":12,"enrollmentInfo":51,"targetDuration":12,"studyType":54,"phases":55,"briefSummary":57,"conditions":58,"keywords":60,"overallStatus":67,"whyStopped":12,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":12},{"fullName":5,"class":6},"Istanbul Saglik Bilimleri University","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Control Group","NO_INTERVENTION","Mothers in this group will receive standard discharge education only. They will not receive the mobile video-supported education during the intervention period. Their knowledge and anxiety levels will be assessed during the follow-up period.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"Mobile Video-Supported Education Group","EXPERIMENTAL","Mothers in this group will receive mobile video-supported education in addition to standard discharge education. The education will focus on neonatal seizure recognition, safety measures, antiseizure medication management, emergency response, and follow-up care. Their knowledge and anxiety levels will be assessed during the follow-up period.",[18],"Behavioral: Mobile Video-Supported Education",[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":12},"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.",[14],[26],{"name":27,"affiliation":28,"role":29},"Eda Aktaş","University of Health Sciences Turkey, Hamidiye Faculty of Nursing","PRINCIPAL_INVESTIGATOR",[31,36],{"name":32,"role":33,"phone":34,"phoneExt":12,"email":35},"Kübra Ergün, PhD Student, MSc, RN","CONTACT","+90 534 819 12 20","kubraergunn95@gmail.com",{"name":37,"role":33,"phone":38,"phoneExt":12,"email":39},"Eda Aktaş, Assoc. Prof., PhD","+90 530 558 90 36","eda.aktas@sbu.edu.tr",{"type":29,"investigatorFullName":27,"investigatorTitle":41,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"Assoc. Prof., PhD","100646185","mobile-video-education-and-machine-learning-based-risk-prediction-in-neonatal-seizure-management-100646185",false,"NCT07695623","Mobile Video Education and Machine Learning-Based Risk Prediction in Neonatal Seizure Management","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","Inclusion Criteria:\n\n* The infant is classified as high risk according to the machine learning-based risk prediction model developed in the first phase of the study.\n* The infant is planned to be discharged home from the Neonatal Intensive Care Unit of Başakşehir Çam and Sakura City Hospital.\n* The mother is 18 years of age or older.\n* The mother is the primary caregiver responsible for the infant's care.\n* The mother is able to read, write, and communicate in Turkish.\n* The mother has access to a smartphone and active internet connection, either mobile data or Wi-Fi.\n* The mother is able to use a smartphone and basic communication applications such as WhatsApp.\n* The mother voluntarily agrees to participate in the study and signs the informed consent form.\n\nExclusion Criteria:\n\n* The infant is transferred to another center before completion of the study process or during the discharge period.\n* The infant dies during the study period.\n* The mother has a diagnosed cognitive or psychiatric condition that may prevent her from understanding the educational materials or managing the study process.\n* The mother has a visual or hearing impairment that may prevent her from following the video content.\n* Significant connection problems occur during the qualitative interview process that prevent completion of the interview.\n* The mother is unable to access or complete the mobile video education within the first 72 hours after discharge due to technical reasons.\n* The mother wishes to withdraw from the study at any stage.","FEMALE","18 Years",{"count":52,"type":53},60,"ESTIMATED","INTERVENTIONAL",[56],"NA","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.",[59],"Seizure Recurrence",[61,62,63,64,65,66],"Risk prediction","Mobile video-supported education","Machine learning","Maternal knowledge","Neonatal intensive care unit","Antiseizure medication management","NOT_YET_RECRUITING","2026-07-06",{"date":70,"type":71},"2026-07-10","ACTUAL",{"date":73,"type":53},"2026-07-04",{"date":75,"type":53},"2028-12-31",{"name":5,"class":6}]