ArticleHeliyon2022
Determinants of neonatal mortality in the neonatal intensive care unit of Dilla University Referral Hospital, Southern Ethiopia; 2019-2020; A matched, case-control study.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Determinants of neonatal mortality in sub-Saharan Africa: systematic review and meta-analysis of adverse newborn conditions.BMC public health · 2025Pooled it
- Factors associated with mortality among neonates admitted to Special Care Baby Unit: evidence from a matched case-control study in a rural general hospital in Northern Uganda.Maternal health, neonatology and perinatology · 2026Article
- Neonatal mortality and associated factors among neonates admitted to neonatal intensive care units at public hospitals in Addis Ababa, Ethiopia.BMC pediatrics · 2025Article
- Magnitude of neonatal mortality and its association with maternal and child health care in sub-Saharan africa: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2025Article
- Neonatal Mortality in Low-Birth-Weight Infants in Southern Ethiopia: A Multicenter Cohort Study With Multilevel Analysis.Sage open pediatricsArticle
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neonatal mortality rate (NMR) refers to the number of deaths occurring from birth to 28 days of life per-1000 Live Births (LB). The global NMR declined from 37 deaths per- 1,000 LB in 1990 to 18 in 2017, whereas it was 27 deaths per 1000 LB in the Sub-Saharan region. Ethiopia plans to reduce the NMR from 28 deaths to 11 deaths per 1,000 LB by 2020 and to end all preventable child deaths by 2035. The aim of this study was to identify the determinants of neonatal mortality in the neonatal intensive care unit (NICU) of Dilla University Referral Hospital (DURH). Methods: An age-matched case control study was conducted at DURH's NICU. Two controls having age 2 days before or after the case were used for matching. One hundred eighteen cases (died) and 236 controls (survived) neonates admitted to the NICU from January 11, 2018, to February 25, 2020, were studied. Missed data were filled by multiple imputations. Multicollinearity was checked by the variance inflation factor. For variables with a P-value <0.2 on bivariable conditional logistic regression, multivariable conditional logistic regression analysis was performed to control for confounders using clogit command in a survival package to identify the risk factors for neonatal mortality using R version 3.6.3. Result: Gestational age <37 weeks (Adjusted matched odds ratio (AmOR): 14.02; 95% confidence interval (CI): 3.68-53.46), first-minute APGAR score <7 (AmOR: 5.68; 95% CI: 1.76-18.31), perinatal asphyxia (PNA) (AmOR: 4.62; 95% CI: 1.15-18.53) and being twins (AmOR: 6.84; 95% CI: 1.34-34.96) were significantly associated with neonatal deaths in our study. Furthermore, antenatal care and follow-up during pregnancy (AmOR: 0.15; 95% CI: 0.04-0.53) and having a normal random blood sugar level at admission (AmOR: 0.1; 95% CI: (0.02-0.66) were found to be determinant of neonatal mortalities in our study. Conclusion: Gestational age less than 37 weeks, first-minute APGAR scores <7, being twins, diagnosis of PNA, antenatal care and follow-up of mothers during pregnancy and normoglycemia in neonates at admission were significant determinant of neonatal death in the NICU of DURH.
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