Hollingsworth B, Parkin D
Department of Epidemiology and Public Health, The Medical School, Newcastle University, Newcastle upon Tyne, UK.
IMA J Math Appl Med Biol. 1995 Sep-Dec;12(3-4):161-73. doi: 10.1093/imammb/12.3-4.161.
Measurement of the efficiency of health services would aid the promotion of a better allocation of health care resources. Economic analysis suggests a number of ways of defining and measuring efficiency. However, this rarely informs measures used in health service management. This paper looks at the potential for the use in the United Kingdom's National Health Service of the linear programming based method of data envelopment analysis (DEA). DEA is applied to data from 75 UK acute hospitals. The results demonstrate the capacity of DEA to produce a user-friendly array of results, based on sound theoretical underpinnings. These range from the measurement of relative efficiencies to quantified suggestions as to how hospitals may improve efficiency, by examining both their own efficiency and that of comparable units. Information is provided both about individual hospitals and the sample as a whole. DEA is also able to distinguish between hospitals demonstrating differing returns to scale. Our findings suggest that, although still very much under development, DEA is usable and, given the weakness of current means of measuring efficiency in the National Health Service, that DEA has a strong claim for further consideration.
衡量卫生服务的效率将有助于促进医疗保健资源的更优配置。经济分析提出了一些定义和衡量效率的方法。然而,这很少为卫生服务管理中使用的措施提供依据。本文探讨了基于线性规划的数据 envelopment 分析(DEA)方法在英国国家医疗服务体系中的应用潜力。DEA 应用于来自 75 家英国急症医院的数据。结果表明,DEA 有能力基于可靠的理论基础得出一系列用户友好的结果。这些结果从相对效率的衡量到关于医院如何通过审视自身效率和可比单位的效率来提高效率的量化建议。既提供了关于个别医院的信息,也提供了关于整个样本的信息。DEA 还能够区分呈现不同规模收益的医院。我们的研究结果表明,尽管 DEA 仍在很大程度上处于发展阶段,但它是可用的,而且鉴于国家医疗服务体系目前衡量效率的方法存在不足,DEA 很值得进一步考虑。