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Geo-spatial site suitability analysis for development of health care units in rural India: Effects on habitation accessibility, facility utilization and zonal equity in facility distribution

机译:印度农村地区医疗机构发展的地理空间场所适宜性分析:对居住区可达性,设施利用和设施分布中地带公平性的影响

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The development of health care facilities in a nation improves the quality of life of its citizens, and enhances their efficiency and productivity; eventually, reducing poverty. This paper proposed a methodology that uses GIS and multi-criteria decision-making technique for development of health care units (HCUs), to attain spatial efficiency in the distribution of facilities. The methodology assigns spatial weightage to the suitability index of the candidate locations in the objective function of maximizing coverage location-allocation problem embedded in ArcGIS. Habitations unserved by the existing HCUs are considered as candidate locations. The five criteria considered to determine the suitability index of a location are: Access distance to nearest existing HCU (C-1), Accessibility index of habitations to existing HCUs based on service to population ratio (C-2), Connectivity to all-weather roads (C-3), Population of neighborhood (C-4) and Health care requirement of a zone (C-5). The proposed methodology is applied in Jhunjhunu district, India as a case study, for the development of Community Health Centers (CHCs). Accessibility of habitation to facilities (jointly C-1, C-2, and C-4) found to be the most influencing criteria in deciding the suitability of a candidate location to site the CHCs. The proposed methodology enables maximization of coverage, minimization of needless competition within CHCs, and satisfaction of the zonal requirement for health. Study findings would be helpful to national policymakers for developing HCUs by prioritizing fund allocation to shortage areas to improve the health index as well as the quality of life.
机译:一个国家医疗保健设施的发展提高了其国民的生活质量,并提高了他们的效率和生产力;最终减少贫困。本文提出了一种使用GIS和多准则决策技术开发卫生保健单位(HCU)的方法,以实现设施分配中的空间效率。该方法在最大化嵌入在ArcGIS中的coverage位置分配问题的目标函数中,将空间权重分配给候选位置的适合性指标。现有HCU无法提供的居住地被视为候选地点。确定位置适合性指数的五个标准是:到最近的现有HCU的访问距离(C-1),基于服务与人口比例的居住HCU的可访问性指数(C-2),与全天候的连通性道路(C-3),邻里人口(C-4)和区域的医疗保健要求(C-5)。拟议的方法作为案例研究在印度的Jhunjhunu区得到应用,用于社区卫生中心(CHC)的发展。在决定候选场所是否适合放置CHC时,最容易受到影响的标准是居住场所对设施(共同为C-1,C-2和C-4)的可及性。所提出的方法能够最大限度地扩大覆盖面,最大限度地减少卫生保健中心内不必要的竞争,并满足对健康的区域性要求。研究结果将优先考虑将资金分配给短缺地区,以改善健康指数和生活质量,从而有助于国家政策制定者发展HCU。

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