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

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dc.contributor.authorDaniel Mulat
dc.date.accessioned2026-03-17T07:52:13Z
dc.date.available2026-03-17T07:52:13Z
dc.date.issued2026-03-15
dc.descriptionA 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.
dc.identifier.urihttps://rdmc.aphi.gov.et/handle/123456789/231
dc.language.isoen
dc.titleDevelopment and validation of a neonatal mortality risk prediction model for low-birth-weight neonates at Injibara general hospital, northwest Ethiopia
dc.typeDataset
dspace.entity.type
local.PeriodOfTime2021/1/1 to 2024/12/31
local.access.levelAccessible up on reasonable request.
local.additionalmaterialThesis report
local.contributor.emaildanielmulat81@gmail.com
local.contributor.organizationInjibara University
local.contributor.phone+251-977802234
local.contributor.unitDepartment of Public Health
local.coverage.ageYes
local.coverage.geographicHealth Facility
local.coverage.sexYes
local.criteria.exclusionNeonates without clinical outcome information at the time of NICU discharge were excluded from the study. Also excluded were those born outside health facilities, especially when birth weight was unknown due to delivery by traditional birth attendants and when admission weight was recorded more than 24 hours after birth.
local.criteria.inclusionAll neonates admitted to NICU with the diagnosis of low-birth-weight were included in the study.
local.data.qualityGood
local.datacollection.ended2025-03-24
local.datacollection.started2025-02-02
local.datatypeSurvey
local.date.dissemination2025-06
local.date.finalization2025-06
local.disseminatedbyInjibara University
local.formatStata
local.funderNA
local.funder.linkNA
local.has.geospatialNo
local.has.microdataYes
local.idAPHI-RDMC-490
local.is.externalYes
local.keywordsLow birth weight, Neonatal Mortality, Risk Prediction Model, Northwest Ethiopia
local.objectiveTo develop and validate a neonatal mortality risk prediction model for low-birth-weight neonates at Injibara General Hospital, Northwest Ethiopia
local.publication.statusNot published
local.recommendationGood to use
local.response.rate99.1%
local.samplingSimple random sampling technique
local.sampling.size955
local.study.designInstitution-based retrospective follow-up study design
local.study.populationNeonates 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.
local.subject.areaHealth and health related
local.toolsIn-depth tools adapted

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