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Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey

INTRODUCTION: The use of antenatal care by pregnant women enables them to receive good pregnancy monitoring. This monitoring includes counseling, health instructions, examinations and tests to avoid pregnancy-related complications or death during childbirth. To avoid these complications, the World H...

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Autores principales: Barankanira, Emmanuel, Iradukunda, Arnaud, Ntakaburimvo, Nestor, Ahishakiye, Willy, Nsavyimana, Jean Claude, Odjidja, Emmanuel Nene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844929/
https://www.ncbi.nlm.nih.gov/pubmed/36649240
http://dx.doi.org/10.1371/journal.pone.0272897
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author Barankanira, Emmanuel
Iradukunda, Arnaud
Ntakaburimvo, Nestor
Ahishakiye, Willy
Nsavyimana, Jean Claude
Odjidja, Emmanuel Nene
author_facet Barankanira, Emmanuel
Iradukunda, Arnaud
Ntakaburimvo, Nestor
Ahishakiye, Willy
Nsavyimana, Jean Claude
Odjidja, Emmanuel Nene
author_sort Barankanira, Emmanuel
collection PubMed
description INTRODUCTION: The use of antenatal care by pregnant women enables them to receive good pregnancy monitoring. This monitoring includes counseling, health instructions, examinations and tests to avoid pregnancy-related complications or death during childbirth. To avoid these complications, the World Health Organization (WHO) recommends at least four antenatal visits. Therefore, this study was conducted to identify predictive factors of antenatal care (ANC) among women aged 15 to 49 years and its spatial distribution in Burundi. METHODS: We used data from the Second Burundi Demographic and Health Survey (DHS). A Spatial analysis of ANC prevalence and Mulitlevel logistic regressions of determinants factors of ANC with a medical doctor were done. The ANC prevalence was mapped by region and by province. In unsampled data points, a cluster based interpolation of ANC prevalence was done using the kernel method with an adaptive window. Predictive factors of ANC were assessed using Mulitlevel logistic regressions. The dependent variable was antenatal care with a medical doctor and the explanatory variables were place of residence, age, education level, religion, marital status of the woman, household wealth index and delivery place of the woman. Data processing and data analysis were done using using Quantum Geographic Information System (QGIS) and R software, version 3. 5. 0. RESULTS: The ANC prevalence varied from 0. 0 to 16. 2% with a median of 0. 5%. A highest predicted ANC prevalence was observed at Muyinga and Kirundo provinces’ junction. Low prevalence was observed in several locations in all regions and provinces. The woman’s education level and delivery place were significantly associated with antenatal care with a medical doctor. CONCLUSION: Globally, the ANC prevalence is low in Burundi. It varies across the country. There is an intra-regional or intra-provincial heterogeneity in term of ANC prevalence. Woman’s education level and delivery place are significantly associated antenatal care. There is a need to consider these ANC disparities and factors in the design and strengthening of existing interventions aimed at increasing ANC visits.
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spelling pubmed-98449292023-01-18 Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey Barankanira, Emmanuel Iradukunda, Arnaud Ntakaburimvo, Nestor Ahishakiye, Willy Nsavyimana, Jean Claude Odjidja, Emmanuel Nene PLoS One Research Article INTRODUCTION: The use of antenatal care by pregnant women enables them to receive good pregnancy monitoring. This monitoring includes counseling, health instructions, examinations and tests to avoid pregnancy-related complications or death during childbirth. To avoid these complications, the World Health Organization (WHO) recommends at least four antenatal visits. Therefore, this study was conducted to identify predictive factors of antenatal care (ANC) among women aged 15 to 49 years and its spatial distribution in Burundi. METHODS: We used data from the Second Burundi Demographic and Health Survey (DHS). A Spatial analysis of ANC prevalence and Mulitlevel logistic regressions of determinants factors of ANC with a medical doctor were done. The ANC prevalence was mapped by region and by province. In unsampled data points, a cluster based interpolation of ANC prevalence was done using the kernel method with an adaptive window. Predictive factors of ANC were assessed using Mulitlevel logistic regressions. The dependent variable was antenatal care with a medical doctor and the explanatory variables were place of residence, age, education level, religion, marital status of the woman, household wealth index and delivery place of the woman. Data processing and data analysis were done using using Quantum Geographic Information System (QGIS) and R software, version 3. 5. 0. RESULTS: The ANC prevalence varied from 0. 0 to 16. 2% with a median of 0. 5%. A highest predicted ANC prevalence was observed at Muyinga and Kirundo provinces’ junction. Low prevalence was observed in several locations in all regions and provinces. The woman’s education level and delivery place were significantly associated with antenatal care with a medical doctor. CONCLUSION: Globally, the ANC prevalence is low in Burundi. It varies across the country. There is an intra-regional or intra-provincial heterogeneity in term of ANC prevalence. Woman’s education level and delivery place are significantly associated antenatal care. There is a need to consider these ANC disparities and factors in the design and strengthening of existing interventions aimed at increasing ANC visits. Public Library of Science 2023-01-17 /pmc/articles/PMC9844929/ /pubmed/36649240 http://dx.doi.org/10.1371/journal.pone.0272897 Text en © 2023 Barankanira 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
Barankanira, Emmanuel
Iradukunda, Arnaud
Ntakaburimvo, Nestor
Ahishakiye, Willy
Nsavyimana, Jean Claude
Odjidja, Emmanuel Nene
Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey
title Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey
title_full Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey
title_fullStr Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey
title_full_unstemmed Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey
title_short Spatial distribution and predictive factors of antenatal care in Burundi: A spatial and multilevel baseline analysis for the third burundian demographic and health survey
title_sort spatial distribution and predictive factors of antenatal care in burundi: a spatial and multilevel baseline analysis for the third burundian demographic and health survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844929/
https://www.ncbi.nlm.nih.gov/pubmed/36649240
http://dx.doi.org/10.1371/journal.pone.0272897
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