Development and validation of a neonatal mortality risk prediction model for low-birth-weight neonates at Injibara general hospital, northwest Ethiopia

Accessed Date 2026-03-17T07:52:13Z
Date Availabe 2026-03-17T07:52:13Z
Issued Date 2026-03-15
Description A retrospective follow-up study among 955 low birth weight neonates admitted to the neonatal intensive care unit at Injibara General Hospital between January 1, 2021, and December 31, 2024. A simple random sampling was used. The data collection tool was comprised of socio-demographic factors (residence, age of the mother, sex of the neonates), maternal and obstetric factors (maternal morbidity, antenatal corticosteroid treatment, ANC visit, mode of delivery, place of delivery, obstetric complication, type of pregnancy), newborn-related factors (birth weight, gestational age, congenital anomaly, age of the neonates at admission to NICU, temperature at admission, blood sugar level at admission, APGAR score at 1 minute, APGAR score at 5 minutes, exclusive breastfeeding, sepsis, asphyxia, respiratory distress syndrome, kangaroo mother care, resuscitation at birth, oxygen support) related characteristics. The dataset is available in Stata format.
URI https://rdmc.aphi.gov.et/handle/123456789/231
Language en
Title Development and validation of a neonatal mortality risk prediction model for low-birth-weight neonates at Injibara general hospital, northwest Ethiopia
Type Dataset
Entity Type
Additional Material Thesis report
Geographic Coverage Health Facility
Sex Coverage Yes
Data Quality Good
Format Stata
RDMC ID APHI-RDMC-490
Keyword Low birth weight, Neonatal Mortality, Risk Prediction Model, Northwest Ethiopia
Objective To develop and validate a neonatal mortality risk prediction model for low-birth-weight neonates at Injibara General Hospital, Northwest Ethiopia
Recommendation Good to use
Study Population Neonates admitted to the NICU with the diagnosis of low birth weight at Injibara General Hospital between January 1, 2021, and December 31, 2024, who fulfilled the eligibility criteria.
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