Association between natural hazards and postnatal care mong the neonates in India: a step towards full coverage using geospatial approach
Dublin Core
Title
Association between natural hazards and postnatal care mong the neonates in India: a step towards full coverage using geospatial approach
Subject
Natural hazard, Postnatal care, Healthcare accessibility, Spatial analysis, National Family Health Survey
Description
Background Postnatal care is crucial to prevent the child mortality. Despite the improvement in the PNC coverage
for the neonates, it is still far away from the universal health coverage. Along with, some specifc regions mostly are
natural hazard prone areas of India show very under coverage of PNC for the neonates. Considering the substantial
spatial variation of PNC coverage and natural hazard prevalence, present study aimed to examine spatial variation
of PNC coverage and its association with natural hazard at the district level.
Methods The cross-sectional exploratory study utilized National Family Health Survey, 2019-21, which included
1,76,843 children using multistage stratifed sampling method to examine postnatal care within 42 days for neonates born within fve years prior to the survey. Additionally, the study utilized Vulnerability Atlas of India,2019 maps
to categorize regions into hazardous (food, earthquake, and landslide) and non-hazardous areas. Spatial univariate
and bivariate analyses, logistic and geographically weighted regressions were conducted using ArcGIS Pro, GeoDa,
and Stata 16.0 software to identify associations between PNC coverage, hazard exposure, and spatial variation.
Results The univariate spatial analysis showed some specifc regions such as north, east, and north-east region
of India had a high concentration of natural hazard and low access of PNC coverage. Bivariate analysis also showed
that PNC coverage was low in food (75.9%), earthquake (68.3%), and landslide (80.6%) efected areas. Compared
to the national PNC coverage (81.1%), all these natural hazards efected areas showed low coverage. Further, logic
regression showed that these hazard prone areas were less (OR:0.85 for food, 0.77 for earthquake, and 0.77 for landslide) likely to get PNC coverage than their counterparts. LISA cluster maps signifcantly showed low PNC and high
disaster concentration in these disaster-prone areas. Geographic weighted regression results also showed similar
result.
Conclusions The present study elucidates notable heterogeneity in the coverage of postnatal care (PNC) services,
with lower concentrations observed in disaster-prone areas. In order to enhance the accessibility and quality of PNC
services in these areas, targeted interventions such as the deployment of mobile health services and fortifcation
of health systems are recommended.
for the neonates, it is still far away from the universal health coverage. Along with, some specifc regions mostly are
natural hazard prone areas of India show very under coverage of PNC for the neonates. Considering the substantial
spatial variation of PNC coverage and natural hazard prevalence, present study aimed to examine spatial variation
of PNC coverage and its association with natural hazard at the district level.
Methods The cross-sectional exploratory study utilized National Family Health Survey, 2019-21, which included
1,76,843 children using multistage stratifed sampling method to examine postnatal care within 42 days for neonates born within fve years prior to the survey. Additionally, the study utilized Vulnerability Atlas of India,2019 maps
to categorize regions into hazardous (food, earthquake, and landslide) and non-hazardous areas. Spatial univariate
and bivariate analyses, logistic and geographically weighted regressions were conducted using ArcGIS Pro, GeoDa,
and Stata 16.0 software to identify associations between PNC coverage, hazard exposure, and spatial variation.
Results The univariate spatial analysis showed some specifc regions such as north, east, and north-east region
of India had a high concentration of natural hazard and low access of PNC coverage. Bivariate analysis also showed
that PNC coverage was low in food (75.9%), earthquake (68.3%), and landslide (80.6%) efected areas. Compared
to the national PNC coverage (81.1%), all these natural hazards efected areas showed low coverage. Further, logic
regression showed that these hazard prone areas were less (OR:0.85 for food, 0.77 for earthquake, and 0.77 for landslide) likely to get PNC coverage than their counterparts. LISA cluster maps signifcantly showed low PNC and high
disaster concentration in these disaster-prone areas. Geographic weighted regression results also showed similar
result.
Conclusions The present study elucidates notable heterogeneity in the coverage of postnatal care (PNC) services,
with lower concentrations observed in disaster-prone areas. In order to enhance the accessibility and quality of PNC
services in these areas, targeted interventions such as the deployment of mobile health services and fortifcation
of health systems are recommended.
Creator
Papai Barman , Nawaj Sarif and Amiya Saha
Publisher
BMC Emergency Medicine
Date
(2023) 23:76
Contributor
Fajar Bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Papai Barman , Nawaj Sarif and Amiya Saha, “Association between natural hazards and postnatal care mong the neonates in India: a step towards full coverage using geospatial approach,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4331.