The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.

<h4>Background</h4>Neonates with severe complications at birth or during the neonatal period who nearly died but survived constitute neonatal near miss (NNM) cases. Identifying NNM cases and correcting contributing factors are of the utmost importance to get relevant controls for neonata...

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Main Authors: Merertu Wondimu, Fikadu Balcha, Girma Bacha, Aklilu Habte
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0251609
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spelling doaj-34b953d7367541e48e6ac7fd8ab60d0a2021-05-29T04:31:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01165e025160910.1371/journal.pone.0251609The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.Merertu WondimuFikadu BalchaGirma BachaAklilu Habte<h4>Background</h4>Neonates with severe complications at birth or during the neonatal period who nearly died but survived constitute neonatal near miss (NNM) cases. Identifying NNM cases and correcting contributing factors are of the utmost importance to get relevant controls for neonatal deaths. However, limited studies are assessing the prevalence of NNM and associated factors with NNM cases in Ethiopia. So, this study is aimed at assessing the magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma zone, southwest Ethiopia, 2020.<h4>Methods</h4>A facility-based cross-sectional study was conducted among 260 neonates from April 1-30 / 2020. Face to face interviewer-administered structured questionnaire was used to collect data from the mothers and a standard checklist was used for their neonates. The data was encoded and entered into Epi-Data version 4.2 and exported to SPSS version 23 for analysis. Independent variables with marginal associations (p-value <0.25) in the bivariable analysis were eligible for multivariable logistic regression analysis to detect an association with outcome variables. Finally, adjusted odds ratios (AOR) with 95% CI were used to estimate the strength of associations, and statistical significance was declared at a p-value < 0.05.<h4>Result</h4>The magnitude of NNM was 26.7% with [95%CI: 21.6-32.5]. Hypertension during pregnancy [AOR: 3.4; 95%CI: 1.32-8.88], mode of delivery [AOR: 3.32; 95%CI: 1.48-7.45], Obstructed labor [AOR: 2.95; 95%CI: 1.32-6.45] and non-vertex fetal presentation during delivery [AOR: 4.61; 95%CI: 2.16-9.84] were identified as significantly predictors of NNM.<h4>Conclusion and recommendation</h4>Over a quarter of the neonates were with NNM cases, which is relatively higher than the report of studies done in other countries. Hypertension during pregnancy, cesarean delivery, prolonged labor, and non-vertex fetal presentation were all found to increase the likelihood of NNM. Therefore, concerted efforts are needed from local health planners and health care providers to improve maternal health care services especially in early identification of the complications and taking appropriate management.https://doi.org/10.1371/journal.pone.0251609
collection DOAJ
language English
format Article
sources DOAJ
author Merertu Wondimu
Fikadu Balcha
Girma Bacha
Aklilu Habte
spellingShingle Merertu Wondimu
Fikadu Balcha
Girma Bacha
Aklilu Habte
The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.
PLoS ONE
author_facet Merertu Wondimu
Fikadu Balcha
Girma Bacha
Aklilu Habte
author_sort Merertu Wondimu
title The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.
title_short The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.
title_full The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.
title_fullStr The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.
title_full_unstemmed The magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma Zone, Southwest Ethiopia, 2020: A facility-based cross-sectional study.
title_sort magnitude of neonatal near miss and associated factors among live births in public hospitals of jimma zone, southwest ethiopia, 2020: a facility-based cross-sectional study.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description <h4>Background</h4>Neonates with severe complications at birth or during the neonatal period who nearly died but survived constitute neonatal near miss (NNM) cases. Identifying NNM cases and correcting contributing factors are of the utmost importance to get relevant controls for neonatal deaths. However, limited studies are assessing the prevalence of NNM and associated factors with NNM cases in Ethiopia. So, this study is aimed at assessing the magnitude of neonatal near miss and associated factors among live births in public hospitals of Jimma zone, southwest Ethiopia, 2020.<h4>Methods</h4>A facility-based cross-sectional study was conducted among 260 neonates from April 1-30 / 2020. Face to face interviewer-administered structured questionnaire was used to collect data from the mothers and a standard checklist was used for their neonates. The data was encoded and entered into Epi-Data version 4.2 and exported to SPSS version 23 for analysis. Independent variables with marginal associations (p-value <0.25) in the bivariable analysis were eligible for multivariable logistic regression analysis to detect an association with outcome variables. Finally, adjusted odds ratios (AOR) with 95% CI were used to estimate the strength of associations, and statistical significance was declared at a p-value < 0.05.<h4>Result</h4>The magnitude of NNM was 26.7% with [95%CI: 21.6-32.5]. Hypertension during pregnancy [AOR: 3.4; 95%CI: 1.32-8.88], mode of delivery [AOR: 3.32; 95%CI: 1.48-7.45], Obstructed labor [AOR: 2.95; 95%CI: 1.32-6.45] and non-vertex fetal presentation during delivery [AOR: 4.61; 95%CI: 2.16-9.84] were identified as significantly predictors of NNM.<h4>Conclusion and recommendation</h4>Over a quarter of the neonates were with NNM cases, which is relatively higher than the report of studies done in other countries. Hypertension during pregnancy, cesarean delivery, prolonged labor, and non-vertex fetal presentation were all found to increase the likelihood of NNM. Therefore, concerted efforts are needed from local health planners and health care providers to improve maternal health care services especially in early identification of the complications and taking appropriate management.
url https://doi.org/10.1371/journal.pone.0251609
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