Accessibility to Primary Health Centre in a Tribal District of Gujarat, India: application of two step floating catchment area model

Shaw, Subhojit; Sahoo, Harihar

doi:10.1007/s10708-019-09977-1

Cited by 20 publications

(21 citation statements)

References 16 publications

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“…However, Mallik et al (2011) identi ed major geographical, infrastructural constraints for mass measles vaccination campaigns in the Aila cyclone-affected areas [73]. In general, India's healthcare infrastructure, manpower and accessibility are inadequate, especially in remote areas [74] and this could promote child mortality in vulnerable districts.…”

Section: Discussionmentioning

confidence: 99%

Estimating cyclone vulnerability and its linkages with child mortality trajectories along the Bay of Bengal coast of India: a geospatial approach

2022

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BackgroundThe coastal population of Indian subcontinent experience variety of coastal hazards of which cyclone is the most destructive one. Most recently, on 20th May 2020, the super cyclone Amphan lashed with 155 km/h, as tall as a two-story building on the Eastern coast and state of West Bengal in India. In the following year 2021, another cyclonic storm, named Yaas, intensi ed in the Bay of Bengal in May, and it has ravaged many parts of the apex of the BoB coast. Over the decades, the devastating tropical cyclones of the Bay of Bengal (BoB) have thrashed thousands of lives and properties. MethodsAn empirical study to assess the coastal population's vulnerability and mortality along the east coastal districts of India is the need of the hour. Using a set of data the paper estimates the hazard exposure, sensitivity, and adaptability. Further, to understand the association between vulnerability and neonatal and under-5 mortality, regressions are applied. ResultsA very high coastal vulnerability risk for poor socio-economic status and lack of infrastructure was observed in certain districts of the BoB coast. Women, children, elderly and agrarian population are more sensitive to the cyclone; while lack of accessibility and infrastructure and poor health care system impact the population's adaptive capacity. A strong association of child mortality with coastal vulnerability is observed in the study area. Other factors that also play marked role in child mortality are prevalence of diarrhoea, lack of improved water and sanitation. ConclusionThe study, rst of its kind in India, has identi ed vulnerable districts of the east coast to help policymakers take measures for disaster planning and improving the basic facilities for a resilient society.

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Section: Discussionmentioning

confidence: 99%

Estimating cyclone vulnerability and its linkages with child mortality trajectories along the Bay of Bengal coast of India: a geospatial approach

2022

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“…Spatial accessibility is the combination of availability and accessibility dimensions as stated by Penchansky and Thomas in 1981 can be measured by a time–space framework such as vehicular travel time, distance and Euclidean distance is influenced by the topology and structure of the road network for identifying deprived areas and people (Lawal & Anyiam, 2019 ; Mishra et al, 2021 ; Shaw & Sahoo, 2020 ). Geographic access to healthcare facilities is a multidimensional process and can be described by five key dimensions: availability, accessibility, accommodation, affordability, and acceptability, more explicitly describe as the supply of healthcare services with physical proximity (travel distance and time) on a particular geographical location at a reasonable price concerning the population in need (Liu et al, 2022 ; Shaw & Sahoo, 2020 ; Tao et al, 2020 ). The location of healthcare centers near homes can lead to more recurrent visits resulting in better family health outcomes (Dos Anjos Luis & Cabral, 2016 ; Parry et al, 2018 ; Vadrevu & Kanjilal, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Spatial accessibility modeling to healthcare facilities in the case of health shocks of Midnapore municipality, India

Das

Dutta²,

Roy

et al. 2023

GeoJournal

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This research aims to identify the accessibility of the entire population, especially the slum population to existing healthcare facilities (HCF) as well as the slum neighborhoods having low geographic accessibility, and finally, to provide an analytical model for the people living in areas that are outside the coverage range of existing healthcare facilities (HCF) across the study area. Spatial data has been collected and used based on the road network, elevation, location of HCF, municipal boundary, slum point, and satellite images from various sources. Also, non-spatial data such as socioeconomic variables are collected from questionnaires survey within a particular period. The spatial analysis tool like as near, network analysis, and predictive analysis in the ArcGIS platform was used to examine geographic accessibility. The results of the spatial analysis show that the distribution of public healthcare facility centers in the study area has not been uniformly distributed. Across 84% of areas in the study area have sound spatial accessibility with traveling time coverage is about 12 min. However, 16% of areas have a traveling time of 12 to 30 min under low accessibility with existing slum neighborhoods. Therefore, the low spatial accessibility areas are demanding new healthcare facilities in the study area. The Analytical Hierarchy Process (AHP) is employed to find the most optimal and efficient locational suitability for building new healthcare facility centers. The finding of AHP analysis for site suitability of healthcare facilities revealed five major classes as most suitable (2%), suitable (5%), moderate (35%), poor (54%), and very poor (4%) in the study area. Moreover, the realistic framework of this study helps to measure geographic accessibility and suitability in any geographical area.

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“…A growing body of literature analyses geographical inequalities in health service availability in developing countries ranging from Mozambique (Yao et al, 2012) to India (Shaw and Sahoo, 2020) to Bhutan (Jamtsho et al, 2015). Using increasingly robust geospatial methods to measures spatial accessibility, these studies document wide geographical inequalities in health service availability and supply.…”

Section: Introductionmentioning

confidence: 99%

“…The objective of this study was to analyse social and spatial inequalities in the availability of CHCs in the Jakarta region, one of the economic and population hubs of Indonesia. Following the example of research in both high income and low-income countries including Australia (McGrail and Humphreys, 2015), China (Xiong and Luo, 2017), Iran (Hoseini et al, 2018), India (Ranga and Panda, 2014;Shaw and Sahoo, 2020), Mozambique (Yao et al, 2012), Rwanda (Munoz andKallestal, 2012) and Sudan (Macharia et al, 2017), we used spatial analysis and statistical methods to analyze the mismatch between CHC services and the low-income populations most reliant on CHCs for health care. This is the first study to analyse CHCs at the village level -geographic variation at these more localized scales has not been studied -con-sidering the locations of low-income communities.…”

Section: Introductionmentioning

confidence: 99%

Spatial and socioeconomic inequalities in the availability of community health centres in the Jakarta region, Indonesia

Winata

McLafferty

2021

Geospat Health

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In the late 1960s, Indonesia established community health centres (CHCs) throughout the country to provide basic healthcare services for the poor. However, CHC expenditures and investments vary widely at the sub-provincial level, among administrative areas known as cities and regencies, raising concern that facilities and services do not correspond to population needs. This study aimed to examine spatial and socioeconomic inequalities in the availability of CHCs in the Jakarta region. We used spatial and statistical analysis methods at the village level to investigate these inequalities based on CHC data from the Ministry of Health and socioeconomic data from Indonesia Statistics. Results show that CHCs and the healthcare workers within them are unevenly distributed. In areas with high need, the availability of CHCs and healthcare workers were found to be low. There is a mismatch in healthcare services and delivery for low-income, unemployed populations at the village level that needs to be addressed. The findings discussed in this paper suggest that Jakarta Department of Health should coordinate with local public health districts to determine locations for new CHCs and assign healthcare workers to each CHC based on need as this would improve access to essential health services for the low-income population.

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Accessibility to Primary Health Centre in a Tribal District of Gujarat, India: application of two step floating catchment area model

Cited by 20 publications

References 16 publications

Estimating cyclone vulnerability and its linkages with child mortality trajectories along the Bay of Bengal coast of India: a geospatial approach

Estimating cyclone vulnerability and its linkages with child mortality trajectories along the Bay of Bengal coast of India: a geospatial approach

Spatial accessibility modeling to healthcare facilities in the case of health shocks of Midnapore municipality, India

Spatial and socioeconomic inequalities in the availability of community health centres in the Jakarta region, Indonesia

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