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Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study

BACKGROUND: In developing countries, home delivery increases the risk of maternal and perinatal mortality. Despite this, home deliveries account for a considerable share of deliveries in developing nations such as Ethiopia. Evidence on factors that affect homebirth is required for the measures neede...

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Autores principales: Gaga, Asaminew Geremu, Abebo, Teshome Abuka, Simachew, Yilkal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153687/
https://www.ncbi.nlm.nih.gov/pubmed/37130142
http://dx.doi.org/10.1371/journal.pone.0283547
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author Gaga, Asaminew Geremu
Abebo, Teshome Abuka
Simachew, Yilkal
author_facet Gaga, Asaminew Geremu
Abebo, Teshome Abuka
Simachew, Yilkal
author_sort Gaga, Asaminew Geremu
collection PubMed
description BACKGROUND: In developing countries, home delivery increases the risk of maternal and perinatal mortality. Despite this, home deliveries account for a considerable share of deliveries in developing nations such as Ethiopia. Evidence on factors that affect homebirth is required for the measures needed to overcome these conditions. OBJECTIVE: To identify predictors of homebirth among women attending health facilities in Wondo Genet, Sidama Region. METHODS: Unmatched case-control study was conducted from May to June 2021 among 308 mothers (102 cases and 206 controls) who recently delivered and visited either postnatal care or sought immunization service at public health facilities of Wondo Genet. A structured interviewer-administered questionnaire was used to collect data. Epi-Data version 3.1 was used for data entry, and the Statistical Package for the Social Sciences (SPSS) version 20 was used for data analysis. Bivariate and multivariate logistic regression analyses were used to identify the determinants of homebirth. The association between the outcome variable and independent variables was declared statistically significant at a P-value < 0.05 with a 95% Confidence Interval (CI) in a multivariable model. RESULTS: Rural residence [AOR: 3.41; 95%CI: 1.58–7.39], lifetime physical IPV [AOR: 2.35; 95%CI: 1.06–5.17], grand-multiparity [AOR: 5.36; 95%CI: 1.68–17.08], non-use of contraception before recent pregnancy [AOR: 5.82; 95%CI: 2.49–13.60], >30 min to reach health facility [AOR: 2.14; 95%CI: 1.02–4.51], and lack of facemask [AOR: 2.69; 95%CI: 1.25–5.77] were statistically significant predictors of homebirth. CONCLUSION AND RECOMMENDATION: The access gap to maternity services should be narrowed between rural and urban women. Healthcare programs concerning women’s empowerment could help reduce persistent intimate partner violence. Family planning needs to be promoted, and multiparous women should be counseled on the adverse obstetric consequences of homebirth. The devastating effect of the coronavirus disease 2019 pandemic on maternity services should be prevented.
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spelling pubmed-101536872023-05-03 Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study Gaga, Asaminew Geremu Abebo, Teshome Abuka Simachew, Yilkal PLoS One Research Article BACKGROUND: In developing countries, home delivery increases the risk of maternal and perinatal mortality. Despite this, home deliveries account for a considerable share of deliveries in developing nations such as Ethiopia. Evidence on factors that affect homebirth is required for the measures needed to overcome these conditions. OBJECTIVE: To identify predictors of homebirth among women attending health facilities in Wondo Genet, Sidama Region. METHODS: Unmatched case-control study was conducted from May to June 2021 among 308 mothers (102 cases and 206 controls) who recently delivered and visited either postnatal care or sought immunization service at public health facilities of Wondo Genet. A structured interviewer-administered questionnaire was used to collect data. Epi-Data version 3.1 was used for data entry, and the Statistical Package for the Social Sciences (SPSS) version 20 was used for data analysis. Bivariate and multivariate logistic regression analyses were used to identify the determinants of homebirth. The association between the outcome variable and independent variables was declared statistically significant at a P-value < 0.05 with a 95% Confidence Interval (CI) in a multivariable model. RESULTS: Rural residence [AOR: 3.41; 95%CI: 1.58–7.39], lifetime physical IPV [AOR: 2.35; 95%CI: 1.06–5.17], grand-multiparity [AOR: 5.36; 95%CI: 1.68–17.08], non-use of contraception before recent pregnancy [AOR: 5.82; 95%CI: 2.49–13.60], >30 min to reach health facility [AOR: 2.14; 95%CI: 1.02–4.51], and lack of facemask [AOR: 2.69; 95%CI: 1.25–5.77] were statistically significant predictors of homebirth. CONCLUSION AND RECOMMENDATION: The access gap to maternity services should be narrowed between rural and urban women. Healthcare programs concerning women’s empowerment could help reduce persistent intimate partner violence. Family planning needs to be promoted, and multiparous women should be counseled on the adverse obstetric consequences of homebirth. The devastating effect of the coronavirus disease 2019 pandemic on maternity services should be prevented. Public Library of Science 2023-05-02 /pmc/articles/PMC10153687/ /pubmed/37130142 http://dx.doi.org/10.1371/journal.pone.0283547 Text en © 2023 Gaga 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
Gaga, Asaminew Geremu
Abebo, Teshome Abuka
Simachew, Yilkal
Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study
title Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study
title_full Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study
title_fullStr Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study
title_full_unstemmed Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study
title_short Predictors of homebirth amidst COVID-19 pandemic among women attending health facilities in Wondo Genet, Sidama Region, Ethiopia: A case control study
title_sort predictors of homebirth amidst covid-19 pandemic among women attending health facilities in wondo genet, sidama region, ethiopia: a case control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153687/
https://www.ncbi.nlm.nih.gov/pubmed/37130142
http://dx.doi.org/10.1371/journal.pone.0283547
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