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Using DEA to evaluate efficiency and formulate policy within a Greek national primary health care network. Data Envelopment Analysis.

机译:在希腊国家初级卫生保健网络中使用DEA评估效率并制定政策。数据包络分析。

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The purpose of this paper is to critically evaluate the relative efficiency of primary health care centers of the principal Greek public insurance provider, the Social Security Institute (IKA). The source of the efficiency data was the Statistical Unit of IKA. Using Data Envelopment Analysis, we analyzed data from 133 centers nationwide. Input variables included the number of personnel, stratified in different categories, and the number of people covered by each health center. The number of pensioners enlisted to each health care facility was used as an index of aging and vulnerability of the covered population. According to the results of the study, centers with the technological infrastructure to perform laboratory and/or radiographic examinations exhibited higher efficiency scores. In addition, centers with eligible covered populations from 10,000 to 50,000 were found as the most efficient. Health sector reforms should be planned on the basis of such analyses. If the model is supplemented with validdemographic, socioeconomic, and epidemiological data, it may become the basis for the creation of a national health care chart, matching available resources to the population and its health care needs.
机译:本文的目的是批判性地评估主要的希腊公共保险提供者社会保障协会(IKA)的初级保健中心的相对效率。效率数据的来源是IKA统计部门。使用数据包络分析,我们分析了来自全国133个中心的数据。输入变量包括按不同类别分层的人员数量,以及每个医疗中心覆盖的人员数量。每个医疗机构应征退休人员的人数被用作覆盖人口的老龄化和脆弱性指标。根据研究结果,具有进行实验室和/或射线照相检查的技术基础设施的中心显示出更高的效率得分。此外,发现符合资格的覆盖人口在10,000至50,000之间的中心是效率最高的。卫生部门的改革应在此类分析的基础上进行规划。如果该模型补充有有效的人口统计学,社会经济和流行病学数据,则它可能会成为创建国家医疗保健图表的基础,使可用资源与人群及其医疗保健需求相匹配。

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