Evidence map›Paper›PMID 42252389›Full record

ArticleMaternal health, neonatology and perinatology2026

Determinants of preterm neonatal mortality in two rural district hospitals of Gatsibo, Rwanda.

Emmanuel Uwambajimana, Albert Ndagijimana, Richard Kalisa

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Article in Maternal health, neonatology and perinatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Emmanuel UwambajimanaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda. wambaemmy@gmail.com.ORCID http://orcid.org/0009-0008-3145-3973
Albert NdagijimanaDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.
Richard KalisaDepartment of Community Health, School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda.

Funding

U.S. Centers for Disease Control and Prevention (CDC) None
6 · The paper itself

Abstract

backgroundPreterm birth remains a critical global health issue, contributing to approximately one-third of neonatal deaths worldwide. In Rwanda, complications of preterm birth contributed to the second cause on neonatal mortality with specifically two district hospitals (i.e. Kiziguro and Ngarama) located in Gatsibo district reported threefold higher preterm neonatal mortality as compared to national average. We aimed to determine the proportion and determinants of preterm neonatal mortality in two rural hospitals in Gatsibo district, Rwanda.

methodsWe conducted a retrospective cross-sectional study using records of all preterm neonates admitted to Kiziguro and Ngarama hospital neonatal units, between January 2020 and December 2024. Data were extracted from neonatal files and maternity registers. Descriptive statistics were used to describe the study variables. Bivariate and multivariable logistic regression analyses were conducted to identify the determinants of preterm neonatal mortality. We reported odds ratios, 95% CIs, and p values, and we set the significance at the 95% confidence level.

resultsThe majority of preterm deaths occurred at Kiziguro district hospital (21.0%, n = 1217). The determinants of preterm neonatal mortality were early gestational age (aOR = 2.47, 95% CI: 1.30-4.65), neonatal sepsis (aOR = 3.35, 95% CI: 1.98-5.69), hypothermia (aOR = 1.72, 95% CI: 1.12-2.66), need for special care unit services (aOR = 5.32, 95% CI: 2.61-11.96), poor respiratory support (aOR = 7.63; 95% CI: 3.69-15.80), poor bilirubin management (aOR = 2.82, 95% CI: 1.50-5.27), and inadequate kangaroo mother care practices (aOR = 51.82, 95% CI: 31.77-84.51).

conclusionThe proportion of preterm mortality was approximately similar to the national figures. Key determinants associated with preterm neonatal mortality included: early gestational age, maternal infections, inadequate kangaroo mother care (KMC), neonatal sepsis and inadequate respiratory support. Thus, continuous neonatal capacity building, improved KMC practices, appropriate use of neonatal equipment and regular cleanliness are recommended.

Indexed as

Kangaroo mother careMortalityNeonatal carePreterm birth

Identifiers

PMID42252389
PMCPMC13244941

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.