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Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey

INTRODUCTION: For several decades, the rate of caesarean section (CS) has been increasing in the world. In some countries, the CS rate is below the WHO recommended range (10–15%), while in other countries, it is significantly higher. The aim of this paper was to identify individual and community-lev...

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Autores principales: Jean Simon, David, Jean-Baptiste, Stanley, Nazaire, Roodjmie, Joseph, Ghislaine, Carmil, Joseph Arcelin, Joseph, Fanor, Kondo Tokpovi, Vénunyé Claude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108480/
https://www.ncbi.nlm.nih.gov/pubmed/37069696
http://dx.doi.org/10.1186/s41182-023-00513-z
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author Jean Simon, David
Jean-Baptiste, Stanley
Nazaire, Roodjmie
Joseph, Ghislaine
Carmil, Joseph Arcelin
Joseph, Fanor
Kondo Tokpovi, Vénunyé Claude
author_facet Jean Simon, David
Jean-Baptiste, Stanley
Nazaire, Roodjmie
Joseph, Ghislaine
Carmil, Joseph Arcelin
Joseph, Fanor
Kondo Tokpovi, Vénunyé Claude
author_sort Jean Simon, David
collection PubMed
description INTRODUCTION: For several decades, the rate of caesarean section (CS) has been increasing in the world. In some countries, the CS rate is below the WHO recommended range (10–15%), while in other countries, it is significantly higher. The aim of this paper was to identify individual and community-level factors associated with CS in Haiti. METHODS: Secondary data analysis was conducted on nationally representative cross-sectional survey data from the 2016–2017 Haitian Demographic and Health Survey (HDHS). The analysis was restricted to 6303 children born in 5 years prior the survey (of the interviewed women). The study population’ characteristics, and the prevalence of CS were analysed using descriptive analysis (univariate/bivariate). In addition, multilevel binary logistic regression analysis was performed to identify factors associated with CS. Both descriptive and multivariate analysis were conducted using STATA 16.0 software (Stata Corp, Tex, USA). Statistical significance was declared at p < 0.05. RESULTS: The overall prevalence of CS delivery was estimated at 5.4% (95% CI 4.8–6.0) in Haiti. Results also revealed that mothers aged 35 and above (aOR = 1.38; 95% CI 1.00–1.96); who attended secondary (aOR = 1.95; 95% CI 1.39–2.76) and higher education level (aOR = 3.25; 95% CI 1.92–5.49); who were covered by health insurance (aOR = 2.57; 95% CI 1.57–4.19); with less than 3 children (aOR = 4.13; 95% CI 2.18–7.85) or 3–4 children (aOR = 2.07; 95% CI 1.09–3.94); who received 9 or more antenatal visits (aOR = 2.21; 95% CI 1.40–3.50) were significantly more likely to deliver by CS. Children in communities with high preponderance of private health facilities had greater odds to be delivered through CS (aOR = 1.90; 95% CI 1.25–2.85). Furthermore, children with an average birth weight (aOR = 0.66; 95% CI 0.48–0.91) were less likely to be delivered through CS than their counterparts with high birth weight. CONCLUSIONS: While the CS prevalence was low in Haiti, it masks significant geographic, social and economic disparities. To better develop and implement maternal and child health programs that address CS deliveries, the government authorities and NGOs operating in the field of women’s health in Haiti should take these disparities into account.
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spelling pubmed-101084802023-04-18 Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey Jean Simon, David Jean-Baptiste, Stanley Nazaire, Roodjmie Joseph, Ghislaine Carmil, Joseph Arcelin Joseph, Fanor Kondo Tokpovi, Vénunyé Claude Trop Med Health Research INTRODUCTION: For several decades, the rate of caesarean section (CS) has been increasing in the world. In some countries, the CS rate is below the WHO recommended range (10–15%), while in other countries, it is significantly higher. The aim of this paper was to identify individual and community-level factors associated with CS in Haiti. METHODS: Secondary data analysis was conducted on nationally representative cross-sectional survey data from the 2016–2017 Haitian Demographic and Health Survey (HDHS). The analysis was restricted to 6303 children born in 5 years prior the survey (of the interviewed women). The study population’ characteristics, and the prevalence of CS were analysed using descriptive analysis (univariate/bivariate). In addition, multilevel binary logistic regression analysis was performed to identify factors associated with CS. Both descriptive and multivariate analysis were conducted using STATA 16.0 software (Stata Corp, Tex, USA). Statistical significance was declared at p < 0.05. RESULTS: The overall prevalence of CS delivery was estimated at 5.4% (95% CI 4.8–6.0) in Haiti. Results also revealed that mothers aged 35 and above (aOR = 1.38; 95% CI 1.00–1.96); who attended secondary (aOR = 1.95; 95% CI 1.39–2.76) and higher education level (aOR = 3.25; 95% CI 1.92–5.49); who were covered by health insurance (aOR = 2.57; 95% CI 1.57–4.19); with less than 3 children (aOR = 4.13; 95% CI 2.18–7.85) or 3–4 children (aOR = 2.07; 95% CI 1.09–3.94); who received 9 or more antenatal visits (aOR = 2.21; 95% CI 1.40–3.50) were significantly more likely to deliver by CS. Children in communities with high preponderance of private health facilities had greater odds to be delivered through CS (aOR = 1.90; 95% CI 1.25–2.85). Furthermore, children with an average birth weight (aOR = 0.66; 95% CI 0.48–0.91) were less likely to be delivered through CS than their counterparts with high birth weight. CONCLUSIONS: While the CS prevalence was low in Haiti, it masks significant geographic, social and economic disparities. To better develop and implement maternal and child health programs that address CS deliveries, the government authorities and NGOs operating in the field of women’s health in Haiti should take these disparities into account. BioMed Central 2023-04-17 /pmc/articles/PMC10108480/ /pubmed/37069696 http://dx.doi.org/10.1186/s41182-023-00513-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Jean Simon, David
Jean-Baptiste, Stanley
Nazaire, Roodjmie
Joseph, Ghislaine
Carmil, Joseph Arcelin
Joseph, Fanor
Kondo Tokpovi, Vénunyé Claude
Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey
title Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey
title_full Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey
title_fullStr Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey
title_full_unstemmed Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey
title_short Individual and community-level factors associated with caesarean section in Haiti: secondary analysis of data from the 2016–2017 Haitian Demographic and Health Survey
title_sort individual and community-level factors associated with caesarean section in haiti: secondary analysis of data from the 2016–2017 haitian demographic and health survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10108480/
https://www.ncbi.nlm.nih.gov/pubmed/37069696
http://dx.doi.org/10.1186/s41182-023-00513-z
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