ArticleSAGE open medicine2022
Neonatal near miss and associated factors among neonates admitted to neonatal intensive care unit of hospitals in East Wollega, Western Ethiopia, 2019.
Article in SAGE open medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 2 citations in OpenAlex.
- Neonatal near miss and associated factors among neonates delivered at East Gojjam zone public health hospitals, Northwest Ethiopia.Scientific reports · 2025Article
- Predictors of neonatal near-misses in Worabe Comprehensive Specialized Hospital, Southern Ethiopia.Frontiers in pediatrics · 2024Article
- Neonatal Near Miss and Its Associated Factors among Neonates in Garowe City, Puntland, Somalia, 2025: A Cross Sectional Study.SAGE open nursingArticle
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Neonatal near miss is an infant who nearly died but survived from birth to 28 days. Neonatal period is the most vulnerable time for child's healthiness and continued existence. Globally, about 2.5 million children died in their first month of life and 7000 die/day. Objective: To assess neonatal near miss and associated factors among neonates admitted to intensive care unit at hospitals in East Wollega, West Ethiopia, 2019. Methods: Quantitative, facility-based cross-sectional study was conducted from 15 July to 30 August 2019 on 403 neonates admitted to neonatal intensive care unit of hospitals. After ethical clearance, five recruited and trained nurses collected the data with pretested structured questionnaire. Neonates sampled were selected using systematic random sampling. Data entered into Epi-info version 7.1 and exported to SPSS Version 24. Binary logistic regression was performed, and adjusted odds ratio with P-value ⩽ 0.05 at 95% confidence interval was used as statistically significant. Results: All, 403, study participants were included in this study, yielding 100% response rate. From these, 196 (48.60%) neonates were near miss. In multivariable logistic regression, mother who lived in rural area (adjusted odds ratio = 3.84, 95% confidence interval = (1.78, 8.31)), cesarean section (adjusted odds ratio = 10.68, 95% confidence interval = (2.95, 38.71)), and neonates referred to hospitals (adjusted odds ratio = 3.32, 95% confidence interval = (3.27, 12.01)). Also, female neonates (adjusted odds ratio = 2.99, 95% confidence interval = (1.45, 6.14)) and multiple birth (adjusted odds ratio = 3.07, 95% confidence interval = (1.32, 7.16)) were significantly associated with neonatal near miss. Conclusion: Neonatal near miss found to be high compared to previously existing research in Brazil. Health institutions, health professionals, and concerned bodies on plan and implementation of neonatal care need to consider these factors during pregnancy, delivery, and for neonates immediate after birth and in neonatal intensive care unit.
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