Accessibility Analysis of Health care facility using Geospatial Techniques

Rekha, R. Shanmathi; Wajid, Shayesta; Radhakrishnan, Nisha; Mathew, Samson

doi:10.1016/j.trpro.2017.12.078

Cited by 54 publications

(38 citation statements)

References 6 publications

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“…Geographical information system (GIS) studies commonly used Euclidean distance method to calculate nearest the location of a service centre i.e. distance from a population centre [1]. This method faces drawback to provide suitable site mainly in urban areas where the population enjoys sets of service options within a certain point or point of reference.…”

Section: Models On Healthcare Servicesmentioning

confidence: 99%

“…Two-step floating catchment area model: floating catchment area model was primarily employed by Peng to analyse urban employment accessibility and further Luo and Wang also used this method to overcome problem arise for the gravity-based model to calculate spatial accessibility like quality and spatial resolution [1]. In this method, a catchment area selection is required based on distance and travel time and a spatial accessibility value is appointed for each population point by adding up to the service-population ratio of all the catchments overlay on the point.…”

Section: Models On Healthcare Servicesmentioning

confidence: 99%

“…The terminology of accessibility possesses the multi-layered and multi-faceted concepts which ascertain the quality of admitting approaches which provide a range of support services. Potential accessibility ensures the optimum access to comprehensive and quality healthcare to every single individual of a population within a short of healthcare service providers [1]. Adequate accessibility to healthcare service is one of the vital elements for holding an advanced society status.…”

Section: Introductionmentioning

confidence: 99%

“…Several Committees are set up to recommend public health policy aims to provide high-quality equal healthcare service to all likely Bhore committee 1946, Ministry of Health and Family Welfare 2012, National Urban Health Mission 2013 [9]. Despite all these efforts, a recent health survey reveals that only about 29% of Indian Population is served in Government Hospitals and about one-fourth income of each household has been invested in healthcare services [1].…”

Section: Introductionmentioning

confidence: 99%

“…it does not take into account the distance decay method, it sets catchment and subzones of healthcare by considering travel time or travel distance based on the road network is often used as the spatial barrier or impedance [19]. Three steps floating catchment area method used by Rekha et al [1] to calculate accessibility by considering three attributes namely attractiveness of health services, travel time and distance between the location of the service centre and the location of residents and population demand for healthcare facilities.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: a study in Murshidabad, India

et al. 2020

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Healthcare accessibility and site suitability analysis is an elongated and complex task that requires evaluation of different decision factors. The main objective of the present study was to develop a hybrid decisionmaking approach with geographic information systems to integrate spatial and non-spatial data to form a weighted result. This study involved three-tier analyses for assessing accessibility and selecting suitable sites for healthcare facilities, and analysing shortest-path network. The first tier of analysis stressed the spatial distance, density and proximity from existing healthcare to find more deprived and inaccessible areas in term of healthcare facilities. The result revealed that spatial discrepancy exists in the study area in term of access to healthcare facilities and for achieving equal healthcare access, it is essential to propose new plans. Thus, require finding suitable sites for put forward new healthcare service, which was highlighted in the second tier of analysis based on land use land cover, distancing to road and rail, proximity to residential areas, and weighted overlay of accessibility as decision factors. Finally, in the third tier of analysis, the most suitable site among the proposed healthcare was identified using the technique for order of preference by similarity to ideal solution. The road network analysis was also performed in this study to determine the shortest and fastest route from these healthcare facilities to connect with district medical hospital. The present study found some suitable sites throughout the district on inaccessible zones where people are deprived from better healthcare facilities. This attempt will highly helpful for preparing a spatial decision support system which assists the health authorities regarding the healthcare services in inaccessible, underprivileged, and rural areas.

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Section: Models On Healthcare Servicesmentioning

confidence: 99%

Section: Models On Healthcare Servicesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: a study in Murshidabad, India

et al. 2020

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Role of international border on healthcare access in West Bengal, India: A geographical analysis

Banu

Biswas

2021

GeoJournal

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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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Accessibility Analysis of Health care facility using Geospatial Techniques

Cited by 54 publications

References 6 publications

Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: a study in Murshidabad, India

Accessibility and site suitability for healthcare services using GIS-based hybrid decision-making approach: a study in Murshidabad, India

Role of international border on healthcare access in West Bengal, India: A geographical analysis

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

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