Jeremic V, Bulajic M, Martic M, Markovic A, Savic G, Jeremic D, Radojicic Z
Faculty of Organizational Sciences, University of Belgrade, Serbia.
Hippokratia. 2012 Apr;16(2):170-4.
The issue of evaluating the efficiency of health systems has been elaborated upon frequently. Since "health" is a multi-faceted concept, many variables of different measurement units must be included in its analysis; consequently, this presents a great obstacle for researchers to overcome.
A novel statistical approach for evaluating the efficiency of organizational units is here proposed, which can also be easily applied to the health sector. For these purposes, the health status of the 27 countries belonging to the European Union has been examined by employing a statistical Ivanovic-Jeremic Distance Based Analysis (DBA) on various health indicators.
The subsequent outcome of the Distance Based Analysis has shown that Cyprus and Ireland have a most efficient health system sectors. Greece also has exceptional indicators of health service, yet health on the individual level is not comparable.
Since it synthesizes many variables into an efficiency score, a DBA can be easily applied to other regions/countries. However, the choice of input and output variables can be considered to be potential limitations since a different choice of variables may cause different efficiency scores for the countries selected.
A DBA approach contributes significantly to the efficiency in the field of research measurement. This analysis can be additionally performed alongside DEA and SFA methods, as a new measure of efficiency.
卫生系统效率评估问题已被频繁阐述。由于“健康”是一个多方面的概念,其分析必须纳入许多不同计量单位的变量;因此,这给研究人员带来了巨大的障碍需要克服。
本文提出了一种评估组织单位效率的新颖统计方法,该方法也可轻松应用于卫生部门。为此,通过对各种卫生指标采用基于统计的伊万诺维奇 - 耶雷米奇距离分析(DBA),对欧盟27个国家的健康状况进行了研究。
基于距离分析的后续结果表明,塞浦路斯和爱尔兰拥有最有效的卫生系统部门。希腊的卫生服务指标也很出色,但个人层面的健康状况无可比性。
由于DBA将许多变量综合为一个效率得分,它可以轻松应用于其他地区/国家。然而,输入和输出变量的选择可能被视为潜在的局限性,因为不同的变量选择可能会导致所选国家的效率得分不同。
DBA方法对研究测量领域的效率有显著贡献。这种分析可以作为一种新的效率衡量方法,与数据包络分析(DEA)和随机前沿分析(SFA)方法一起额外进行。