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Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach

BACKGROUND: Despite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spat...

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Autores principales: Mishra, Prem Shankar, Sinha, Debashree, Kumar, Pradeep, Srivastava, Shobhit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756682/
https://www.ncbi.nlm.nih.gov/pubmed/35022008
http://dx.doi.org/10.1186/s12889-021-12436-7
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author Mishra, Prem Shankar
Sinha, Debashree
Kumar, Pradeep
Srivastava, Shobhit
author_facet Mishra, Prem Shankar
Sinha, Debashree
Kumar, Pradeep
Srivastava, Shobhit
author_sort Mishra, Prem Shankar
collection PubMed
description BACKGROUND: Despite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spatial distribution of SBA across districts of India. Furthermore, the study tries to understand the spatially associated population characteristics that influence the low coverage of SBA across districts of India and its regions. METHODS: The study used national representative cross-sectional survey data obtained from the fourth round of National Family Health Survey, conducted in 2015-16. The effective sample size was 259,469 for the analysis. Moran’s I statistics and bivariate Local Indicator for Spatial Association maps were used to understand spatial dependence and clustering of deliveries conducted by SBA coverage in districts of India. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of deliveries conducted by SBA. RESULTS: Moran’s I value for SBA among women was 0.54, which represents a high spatial auto-correlation of deliveries conducted by SBA over 640 districts of India. There were 145 hotspots for deliveries conducted by SBA among women in India, which includes almost the entire southern part of India. The spatial error model revealed that with a 10% increase in exposure to mass media in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Interestingly, also with the 10% increase in the four or more antenatal care (ANC) in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Again, if there was a 10% increase of women with first birth order in a particular district, then the deliveries conducted by SBA significantly increased by 6.1%. If the district experienced an increase of 10% household as female-headed, then the deliveries conducted by SBA significantly increased by 1.4%. CONCLUSION: The present study highlights the important role of ANC visits, mass media exposure, education, female household headship that augment the use of an SBA for delivery. Attention should be given in promoting regular ANC visits and strengthening women’s education. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12436-7.
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spelling pubmed-87566822022-01-18 Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach Mishra, Prem Shankar Sinha, Debashree Kumar, Pradeep Srivastava, Shobhit BMC Public Health Research Article BACKGROUND: Despite a significant increase in the skilled birth assisted (SBA) deliveries in India, there are huge gaps in availing maternity care services across social gradients - particularly across states and regions. Therefore, this study applies the spatial-regression model to examine the spatial distribution of SBA across districts of India. Furthermore, the study tries to understand the spatially associated population characteristics that influence the low coverage of SBA across districts of India and its regions. METHODS: The study used national representative cross-sectional survey data obtained from the fourth round of National Family Health Survey, conducted in 2015-16. The effective sample size was 259,469 for the analysis. Moran’s I statistics and bivariate Local Indicator for Spatial Association maps were used to understand spatial dependence and clustering of deliveries conducted by SBA coverage in districts of India. Ordinary least square, spatial lag and spatial error models were used to examine the correlates of deliveries conducted by SBA. RESULTS: Moran’s I value for SBA among women was 0.54, which represents a high spatial auto-correlation of deliveries conducted by SBA over 640 districts of India. There were 145 hotspots for deliveries conducted by SBA among women in India, which includes almost the entire southern part of India. The spatial error model revealed that with a 10% increase in exposure to mass media in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Interestingly, also with the 10% increase in the four or more antenatal care (ANC) in a particular district, the deliveries conducted by SBA increased significantly by 2.5%. Again, if there was a 10% increase of women with first birth order in a particular district, then the deliveries conducted by SBA significantly increased by 6.1%. If the district experienced an increase of 10% household as female-headed, then the deliveries conducted by SBA significantly increased by 1.4%. CONCLUSION: The present study highlights the important role of ANC visits, mass media exposure, education, female household headship that augment the use of an SBA for delivery. Attention should be given in promoting regular ANC visits and strengthening women’s education. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12436-7. BioMed Central 2022-01-12 /pmc/articles/PMC8756682/ /pubmed/35022008 http://dx.doi.org/10.1186/s12889-021-12436-7 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Mishra, Prem Shankar
Sinha, Debashree
Kumar, Pradeep
Srivastava, Shobhit
Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach
title Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach
title_full Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach
title_fullStr Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach
title_full_unstemmed Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach
title_short Spatial inequalities in skilled birth attendance in India: a spatial-regional model approach
title_sort spatial inequalities in skilled birth attendance in india: a spatial-regional model approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756682/
https://www.ncbi.nlm.nih.gov/pubmed/35022008
http://dx.doi.org/10.1186/s12889-021-12436-7
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