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Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study
BACKGROUND: Although the rate of stillbirth has decreased globally, it remains unacceptably high in low- and middle-income countries. Only ten countries including Ethiopia attribute more than 65% of global burden of still birth. Ethiopia has the 7(th) highest still birth rate in the world. Identifyi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092801/ https://www.ncbi.nlm.nih.gov/pubmed/33939713 http://dx.doi.org/10.1371/journal.pone.0249865 |
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author | Abebe, Haimanot Shitu, Solomon Workye, Haile Mose, Ayenew |
author_facet | Abebe, Haimanot Shitu, Solomon Workye, Haile Mose, Ayenew |
author_sort | Abebe, Haimanot |
collection | PubMed |
description | BACKGROUND: Although the rate of stillbirth has decreased globally, it remains unacceptably high in low- and middle-income countries. Only ten countries including Ethiopia attribute more than 65% of global burden of still birth. Ethiopia has the 7(th) highest still birth rate in the world. Identifying the predictors of stillbirth is critical for developing successful interventions and monitoring public health programs. Although certain studies have assessed the predictors of stillbirth, they failed in identify the proximate predictors of stillbirth. In addition, the inconsistent findings in identify the predictors of stillbirth, and the methodological limitations in previously published works are some of the gaps. Therefore, this study aimed to identify the predictors of stillbirth among mothers who gave birth in six referral hospitals in Southern, Ethiopia. METHODS: A hospital-based unmatched case-control study was conducted in six referral hospitals in Southern, Ethiopia from October 2019 to June 2020. Consecutive sampling techniques and simple random techniques were used to recruit cases and controls respectively. A structured standard tool was used to identify the predictors of stillbirth. Data were entered into Epi Info 7 and exported to SPSS 23 for analysis. A multivariable logistic regression model was used to identify the independent predictors of stillbirth. The goodness of fit was tested using the Hosmer and Lemeshow goodness-of-fit. In this study P-value < 0.05 was considered to declare a result as a statistically significant association. RESULTS: In this study 138 stillbirth cases and 269 controls were included. Women with multiple pregnancy [AOR = 2.98, 95%CI: 1.39–6.36], having preterm birth [AOR = 2.83, 95%CI: 1.58–508], having cesarean mode of delivery [AOR = 3.19, 95%CI: 1.87–5.44], having no ANC visit [AOR = 4.17, 95%CI: 2.38–7.33], and being hypertensive during pregnancy [AOR = 3.43, 95%CI: 1.93–6.06] were significantly associated with stillbirth. CONCLUSIONS: The predictors of stillbirth identified are manageable and can be amenable to interventions. Therefore, strengthening maternal antenatal care utilization should be encouraged by providing appropriate information to the mothers. There is a need to identify, screen, and critically follow high-risk mothers: those who have different complications during pregnancy, and those undergoing cesarean section due to different indications. |
format | Online Article Text |
id | pubmed-8092801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80928012021-05-07 Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study Abebe, Haimanot Shitu, Solomon Workye, Haile Mose, Ayenew PLoS One Research Article BACKGROUND: Although the rate of stillbirth has decreased globally, it remains unacceptably high in low- and middle-income countries. Only ten countries including Ethiopia attribute more than 65% of global burden of still birth. Ethiopia has the 7(th) highest still birth rate in the world. Identifying the predictors of stillbirth is critical for developing successful interventions and monitoring public health programs. Although certain studies have assessed the predictors of stillbirth, they failed in identify the proximate predictors of stillbirth. In addition, the inconsistent findings in identify the predictors of stillbirth, and the methodological limitations in previously published works are some of the gaps. Therefore, this study aimed to identify the predictors of stillbirth among mothers who gave birth in six referral hospitals in Southern, Ethiopia. METHODS: A hospital-based unmatched case-control study was conducted in six referral hospitals in Southern, Ethiopia from October 2019 to June 2020. Consecutive sampling techniques and simple random techniques were used to recruit cases and controls respectively. A structured standard tool was used to identify the predictors of stillbirth. Data were entered into Epi Info 7 and exported to SPSS 23 for analysis. A multivariable logistic regression model was used to identify the independent predictors of stillbirth. The goodness of fit was tested using the Hosmer and Lemeshow goodness-of-fit. In this study P-value < 0.05 was considered to declare a result as a statistically significant association. RESULTS: In this study 138 stillbirth cases and 269 controls were included. Women with multiple pregnancy [AOR = 2.98, 95%CI: 1.39–6.36], having preterm birth [AOR = 2.83, 95%CI: 1.58–508], having cesarean mode of delivery [AOR = 3.19, 95%CI: 1.87–5.44], having no ANC visit [AOR = 4.17, 95%CI: 2.38–7.33], and being hypertensive during pregnancy [AOR = 3.43, 95%CI: 1.93–6.06] were significantly associated with stillbirth. CONCLUSIONS: The predictors of stillbirth identified are manageable and can be amenable to interventions. Therefore, strengthening maternal antenatal care utilization should be encouraged by providing appropriate information to the mothers. There is a need to identify, screen, and critically follow high-risk mothers: those who have different complications during pregnancy, and those undergoing cesarean section due to different indications. Public Library of Science 2021-05-03 /pmc/articles/PMC8092801/ /pubmed/33939713 http://dx.doi.org/10.1371/journal.pone.0249865 Text en © 2021 Abebe et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Abebe, Haimanot Shitu, Solomon Workye, Haile Mose, Ayenew Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study |
title | Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study |
title_full | Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study |
title_fullStr | Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study |
title_full_unstemmed | Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study |
title_short | Predictors of stillbirth among women who had given birth in Southern Ethiopia, 2020: A case-control study |
title_sort | predictors of stillbirth among women who had given birth in southern ethiopia, 2020: a case-control study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092801/ https://www.ncbi.nlm.nih.gov/pubmed/33939713 http://dx.doi.org/10.1371/journal.pone.0249865 |
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