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Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data

INTRODUCTION: The continuum of care (CoC) throughout pregnancy, delivery and post-delivery has recently been highlighted as an integrated intervention programme for maternal, new-born, and child health. Existing literature suggests the importance of continuum of care (CoC) for improved maternal and...

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Autores principales: Usman, Mohd, Reddy, Umenthala Srikanth, Siddiqui, Laeek Ahemad, Banerjee, Adrita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754170/
https://www.ncbi.nlm.nih.gov/pubmed/36520872
http://dx.doi.org/10.1371/journal.pone.0279117
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author Usman, Mohd
Reddy, Umenthala Srikanth
Siddiqui, Laeek Ahemad
Banerjee, Adrita
author_facet Usman, Mohd
Reddy, Umenthala Srikanth
Siddiqui, Laeek Ahemad
Banerjee, Adrita
author_sort Usman, Mohd
collection PubMed
description INTRODUCTION: The continuum of care (CoC) throughout pregnancy, delivery and post-delivery has recently been highlighted as an integrated intervention programme for maternal, new-born, and child health. Existing literature suggests the importance of continuum of care (CoC) for improved maternal and child health outcomes. However due to unavailability of data at the lowest administrative levels, literature on spatial pattern of uptake of full CoC is lacking. The present study attempts to focus on the spatial analysis of CoC in maternal health care in India. DATA AND METHODS: The study is based on the fourth round of National Family Health Survey data conducted in 2015–16 in India. The outcome variable used is maternal health continuum of care which includes- at least 4 ANC visits, delivery through skilled birth attendant and postnatal check-up within 48 hours of delivery. Univariate and bivariate Local Indicator of Spatial Association (LISA) maps have been generated to show the spatial pattern of CoC across 640 districts in India. We also employed spatial regression techniques to explore the determinants of CoC. FINDINGS: Percentage of women who followed full CoC was observed to be least for East Kameng (0.0%) district of Arunachal Pradesh and highest in North Goa district (90.4%). Majority of districts where uptake of full CoC was more than 80 percent were found concentrated in southern region on India. Equivalently, findings indicated a strong spatial clustering of full CoC with high-high clusters mostly concentrated in southern districts. Low-low district clusters are concentrated in the states of Uttar Pradesh, Bihar and Madhya Pradesh. For complete CoC the global Moran’s I is 0.73 indicating the spatial dependence. The spatial regression analysis suggested that modern contraceptive use, meeting with health worker, urbanization and secondary or above education for women have positive impact on the utilisation of CoC. CONCLUSION: The spatial pattern indicates district level clustering in uptake of CoC among women. The study suggests policymakers and stakeholders to implement comprehensive interventions at sub-regional levels for ensuring the completion of CoC for women which acts as a preventive measure for adverse outcomes such as-maternal and child mortality.
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spelling pubmed-97541702022-12-16 Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data Usman, Mohd Reddy, Umenthala Srikanth Siddiqui, Laeek Ahemad Banerjee, Adrita PLoS One Research Article INTRODUCTION: The continuum of care (CoC) throughout pregnancy, delivery and post-delivery has recently been highlighted as an integrated intervention programme for maternal, new-born, and child health. Existing literature suggests the importance of continuum of care (CoC) for improved maternal and child health outcomes. However due to unavailability of data at the lowest administrative levels, literature on spatial pattern of uptake of full CoC is lacking. The present study attempts to focus on the spatial analysis of CoC in maternal health care in India. DATA AND METHODS: The study is based on the fourth round of National Family Health Survey data conducted in 2015–16 in India. The outcome variable used is maternal health continuum of care which includes- at least 4 ANC visits, delivery through skilled birth attendant and postnatal check-up within 48 hours of delivery. Univariate and bivariate Local Indicator of Spatial Association (LISA) maps have been generated to show the spatial pattern of CoC across 640 districts in India. We also employed spatial regression techniques to explore the determinants of CoC. FINDINGS: Percentage of women who followed full CoC was observed to be least for East Kameng (0.0%) district of Arunachal Pradesh and highest in North Goa district (90.4%). Majority of districts where uptake of full CoC was more than 80 percent were found concentrated in southern region on India. Equivalently, findings indicated a strong spatial clustering of full CoC with high-high clusters mostly concentrated in southern districts. Low-low district clusters are concentrated in the states of Uttar Pradesh, Bihar and Madhya Pradesh. For complete CoC the global Moran’s I is 0.73 indicating the spatial dependence. The spatial regression analysis suggested that modern contraceptive use, meeting with health worker, urbanization and secondary or above education for women have positive impact on the utilisation of CoC. CONCLUSION: The spatial pattern indicates district level clustering in uptake of CoC among women. The study suggests policymakers and stakeholders to implement comprehensive interventions at sub-regional levels for ensuring the completion of CoC for women which acts as a preventive measure for adverse outcomes such as-maternal and child mortality. Public Library of Science 2022-12-15 /pmc/articles/PMC9754170/ /pubmed/36520872 http://dx.doi.org/10.1371/journal.pone.0279117 Text en © 2022 Usman 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
Usman, Mohd
Reddy, Umenthala Srikanth
Siddiqui, Laeek Ahemad
Banerjee, Adrita
Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
title Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
title_full Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
title_fullStr Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
title_full_unstemmed Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
title_short Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
title_sort exploration of spatial clustering in maternal health continuum of care across districts of india: a geospatial analysis of demographic and health survey data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754170/
https://www.ncbi.nlm.nih.gov/pubmed/36520872
http://dx.doi.org/10.1371/journal.pone.0279117
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