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Measuring Geographic Inequalities: Dealing with Multiple Health Resources by Data Envelopment Analysis

机译:衡量地理不平等:通过数据包络分析处理多种卫生资源

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The existence of geographic differences in health resources, health expenditures, the utilization of health services, and health outcomes have been documented by a lot of studies from various countries of the world. In a publicly financed health system, equal access is one of the main objectives of the national health policy. That is why inequalities in the geographic allocation of health resources are an important health policy issue. Measures of inequality express the complexity of variation in the observed variable by a single number, and there is a variety of inequality measures available. The objective of this study is to develop a measure of the geographic inequality in the case of multiple health resources. The measure uses data envelopment analysis (DEA), which is a non-parametric method of production function estimation, to transform multiple resources into a single virtual health resource. The study shows that the DEA originally developed for measuring efficiency can be used successfully to measure inequality. For the illustrative purpose, the inequality measure is calculated for the Czech Republic. The values of separate Robin Hood Indexes (RHIs) are 6.64% for physicians and 3.96% for nurses. In the next step, we use combined RHI for both health resources. Its value 5.06% takes into account that the combinations of two health resources serve regional populations.
机译:来自世界各国的许多研究已证明,在卫生资源,卫生支出,卫生服务的利用和卫生结果方面存在地域差异。在公共资助的卫生系统中,平等获取是国家卫生政策的主要目标之一。因此,卫生资源的地域分配不平等是一个重要的卫生政策问题。不平等程度的度量表示单个变量所观察变量变化的复杂性,并且有多种不平等程度可用。这项研究的目的是开发一种在多种卫生资源的情况下地理不平等的衡量方法。该措施使用数据包络分析(DEA)(一种生产功能估计的非参数方法)将多种资源转换为单个虚拟健康资源。研究表明,最初开发的用于衡量效率的DEA可以成功地用于衡量不平等。出于说明目的,计算了捷克共和国的不平等程度。单独的罗宾汉指数(RHIs)值对于医生而言为6.64%,对于护士而言为3.96%。下一步,我们将两种健康资源都使用RHI组合。其值为5.06%,考虑到两种保健资源的组合为区域人口服务。

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