Magnitude of NNM and associated factors among Newborns delivered at the North Shewa zone Public Health Hospital, Central Ethiopia

A multi-level analysis

Bibliographic Data

ID22089943
AuthorsGirma Garedew Goyomsa (0000-0002-6188-989X, Salale University, corresponding author), Birhanu Senbeta Deriba (Salale University), Meseret Moroda Wadejo (Salale University), Sisay Abebe Debela (0000-0001-7824-7562, Salale University), Abebe Feyissa Amhare (0000-0001-5252-3653, Salale University)
Year2022
Volume10
Pages979636-979636
Publication date2022-11-07
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2022.979636
PMID36419996
OpenAlexW4308451994
LanguageEN
Citations received2
References cited29

Background: Neonatal near miss refers to a condition where a newborn is close to death within the first 28 days of life but ultimately survives either by chance or because of the quality of care they received. It is considered a major public health problem that contributes to the global burden of disease in less developing countries. For every death due to NMM, many others develop a severe complication. Despite this grim reality, there seems to be a gap in terms of the magnitude of and predictors of NNM in Ethiopia, where the previous study focused on neonatal death investigation. This study aimed to determine the magnitude of NNM and its determinants among the neonates delivered in the North Shewa zone, Central Ethiopia. Methods: A facility-based cross-sectional study was conducted using a systematic random sampling technique among 747 newly delivered babies in the North Shewa zone public hospital from January 30 to June 30, 2021. Neonatal near misses were identified with the help of the World Health Organization labeling criteria. Collected data were coded, entered, and cleaned by using Epi data 4.4.6 and analyzed using SPSS software (version 26) for analysis. Descriptive statistics were used to compute summary statistics and proportions. Variables at a cutoff value of 0.25 on bivariate and 0.05 on multivariate logistic regression were used to identify predictors. Result: The prevalence of NNM was 35.3% (95% CI = 31.9-38.6) per 1,000 live births. Participant occupation [AOR: 0.55, CI: 0.33-0.90], marital status [AOR: 2.19; CI: 1.06-4.51], instrumental delivery [AOR: 1.98; CI: 1.10-3.55], intrapartum hemorrhage [AOR: 2.27; CI: 1.03-5.01], abortion history [AOR: 1.59; CI: 1.03-2.44], mal-presentation [AOR: 1.77; CI: 1.14-2.77], premature rupture of membrane [AOR: 2.36; CI: 1.59-3.51], and pregnancy-related infection [AOR: 1.99; CI: 1.14-3.46] were found to have statistically significant association. Conclusion and recommendation: One-third of neonates face serious neonatal health conditions. Given this, addressing modifiable obstetric risk factors through providing skilled and quality care to mothers during pregnancy and during and after childbirth was important for improving neonatal health. Additionally, strengthening antenatal care services to minimize the infection occurring during pregnancy through the provision of appropriate services and counseling about the consequences of abortion was essential in reversing the problem

Bivariate analysis · Cross-sectional study · Descriptive statistics · Environmental health · Health care · Logistic regression · Public health · Statistics · Demography · Global Maternal and Child Health · Maternal and Neonatal Healthcare · Maternal and Perinatal Health Interventions · Medicine · Nursing · Pediatrics

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