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平衡希腊偏远地区医疗服务的效率与可及性公平性。

Balancing efficiency of health services and equity of access in remote areas in Greece.

作者信息

Kontodimopoulos Nick, Nanos Panagiotis, Niakas Dimitris

机构信息

Faculty of Social Sciences, Hellenic Open University, Riga Feraiou 169 & Tsamadou, 26222 Patras, Greece.

出版信息

Health Policy. 2006 Mar;76(1):49-57. doi: 10.1016/j.healthpol.2005.04.006. Epub 2005 May 31.

Abstract

Data envelopment analysis (DEA) was used to investigate the efficiency of a set of small-scaled Greek hospitals known as hospital-health centers (HHCs). These facilities naturally provide primary and secondary care but are also expected to function as health centers addressing mostly preventive medicine, hygiene and other public health issues. They are located in remote rural areas and serve the relatively small local populations. This study aimed to obtain insight on their productive efficiency in light of their particular role. The sample consisted of 17 from the 18 units existing in the Greek NHS. Variables chosen to characterize production were numbers of doctors, nurses and beds as inputs, and admissions, outpatient visits and preventive medical services as outputs. The DEA model was input oriented, allowed for constant returns to scale and units were ranked according to a benchmarking approach. Analyses were performed with and without the preventive medicine variable and the results demonstrated technical inefficiencies 26.77 and 25.13%, respectively. Location appeared to affect performance, with remote units, e.g. on small islands, more inefficient. This raises the question if correcting reduced efficiency compromises equity of service access for highly dependent populations. Moreover, we observed superior performance of units additionally offering preventive medical services. This generates another question as to the role these facilities should play in our currently changing health care system.

摘要

数据包络分析(DEA)被用于调查一组被称为医院-健康中心(HHCs)的希腊小型医院的效率。这些机构自然提供初级和二级护理,但也有望作为健康中心发挥作用,主要解决预防医学、卫生和其他公共卫生问题。它们位于偏远农村地区,为相对较少的当地人口提供服务。本研究旨在根据其特殊作用深入了解其生产效率。样本包括希腊国家医疗服务体系(NHS)中18个现有单位中的17个。选择用来表征生产的变量包括医生、护士数量和床位作为投入,住院人数、门诊人次和预防医疗服务作为产出。DEA模型是投入导向型的,允许规模报酬不变,并且各单位根据一种标杆管理方法进行排名。分别在包含和不包含预防医学变量的情况下进行分析,结果表明技术无效率分别为26.77%和25.13%。地理位置似乎会影响绩效,偏远单位,如小岛上的单位,效率更低。这就提出了一个问题,即纠正效率降低是否会损害高度依赖人群获得服务的公平性。此外,我们观察到额外提供预防医疗服务的单位表现更优。这又引发了另一个问题,即这些机构在我们当前不断变化的医疗体系中应发挥何种作用。

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