Seizure Recurrence
Conditions
Keywords
Risk prediction, Mobile video-supported education, Machine learning, Maternal knowledge, Neonatal intensive care unit, Antiseizure medication management
Brief 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.
Detailed description
Neonatal seizures are among the most common neurological emergencies occurring within the first 28 days of life and are associated with significant risks for both short- and long-term neurodevelopmental outcomes. After discharge from the neonatal intensive care unit, seizure recurrence and antiepileptic drug management may create substantial uncertainty and anxiety, particularly for families of high-risk infants. Although the medical management of neonatal seizures and the psychological experiences of parents have been examined separately in the literature, there is a lack of comprehensive approaches that combine technology-based risk prediction with targeted educational interventions. This study aims to identify infants at high risk of seizure recurrence after discharge by using a machine learning model developed from retrospective clinical data and to evaluate the effect of mobile video-supported education provided to mothers of these infants on their knowledge and anxiety levels. The study is designed as a mixed-methods study and will be conducted in three phases. In the first phase, retrospective clinical data of infants discharged from the neonatal intensive care unit will be used to develop a machine learning-based risk prediction model for seizure recurrence after discharge. In the second phase, qualitative interviews will be conducted with mothers of high-risk infants to determine their educational needs, concerns, and experiences regarding neonatal seizure management. The findings obtained from these interviews will be used to develop the content of the mobile video-supported education program. In the third phase, mothers of high-risk infants will be randomly assigned to intervention and control groups in a randomized controlled experimental design. The intervention group will receive mobile video-supported education in addition to standard discharge education, while the control group will receive standard discharge education only. The effects of the education program on mothers' knowledge and anxiety levels will be evaluated during the follow-up period. This study is expected to contribute to the early identification of high-risk infants, support the personalization of nursing care, improve parental knowledge regarding seizure management, and reduce anxiety among mothers caring for infants at risk of seizure recurrence after discharge. Keywords: Neonatal seizure, machine learning, mobile video education, parental anxiety, knowledge level.
Interventions
BEHAVIORALMobile 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.
Sponsors
Istanbul Saglik Bilimleri University
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Intervention model description
Mothers of high-risk infants will be randomly assigned to two parallel groups. The intervention group will receive mobile video-supported education in addition to standard discharge education. The control group will receive standard discharge education only. Outcomes will be assessed during follow-up to evaluate the effect of the education program on maternal knowledge and anxiety levels.
Eligibility
Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* 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 mother is able to read, write, and communicate in Turkish. * The mother has access to a smartphone and active internet connection, either mobile data or Wi-Fi. * The mother is able to use a smartphone and basic communication applications such as WhatsApp. * The mother voluntarily agrees to participate in the study and signs the informed consent form.
Exclusion criteria
* 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. * Significant connection problems occur during the qualitative interview process that prevent completion of the interview. * The mother is unable to access or complete the mobile video education within the first 72 hours after discharge due to technical reasons. * The mother wishes to withdraw from the study at any stage.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in Maternal Knowledge Level Regarding Neonatal Seizure Management | Baseline, 1 week, 1 month, and 3 months after discharge | Maternal knowledge regarding neonatal seizure management will be assessed using a structured knowledge form developed for the study. The form will evaluate mothers' knowledge about seizure recognition, safety measures, antiseizure medication management, emergency response, and follow-up care. Higher scores indicate a higher level of knowledge. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Maternal Anxiety Level Assessed by the State-Trait Anxiety Inventory (STAI) | Baseline, 1 week, 1 month, and 3 months after discharge | Maternal anxiety will be assessed using the State-Trait Anxiety Inventory (STAI). The scale consists of two subscales: State Anxiety and Trait Anxiety, each including 20 items. Scores range from 20 to 80 for each subscale, with higher scores indicating higher anxiety levels. Changes in anxiety scores between the intervention and control groups will be evaluated during follow-up. |
Contacts
CONTACTKübra Ergün, PhD Student, MSc, RN
CONTACTEda Aktaş, Assoc. Prof., PhD
PRINCIPAL_INVESTIGATOREda Aktaş
University of Health Sciences Turkey, Hamidiye Faculty of Nursing
Outcome results
None listed