Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data
<h4>Introduction</h4> 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 im...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754170/?tool=EBI |
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| author | Mohd Usman Umenthala Srikanth Reddy Laeek Ahemad Siddiqui Adrita Banerjee |
| author_facet | Mohd Usman Umenthala Srikanth Reddy Laeek Ahemad Siddiqui Adrita Banerjee |
| author_sort | Mohd Usman |
| collection | DOAJ |
| description | <h4>Introduction</h4> 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. <h4>Data and methods</h4> 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. <h4>Findings</h4> 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. <h4>Conclusion</h4> 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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| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T03:43:19Z |
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| spelling | doaj.art-27cec059e065475baab1b22c270c15c02022-12-22T03:04:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-011712Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey dataMohd UsmanUmenthala Srikanth ReddyLaeek Ahemad SiddiquiAdrita Banerjee<h4>Introduction</h4> 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. <h4>Data and methods</h4> 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. <h4>Findings</h4> 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. <h4>Conclusion</h4> 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.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754170/?tool=EBI |
| spellingShingle | Mohd Usman Umenthala Srikanth Reddy Laeek Ahemad Siddiqui Adrita Banerjee Exploration of spatial clustering in maternal health continuum of care across districts of India: A geospatial analysis of demographic and health survey data PLoS ONE |
| 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 |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754170/?tool=EBI |
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