Campanella Paolo, Azzolini Elena, Izzi Alessio, Pelone Ferruccio, De Meo Concetta, La Milia Daniele, Specchia Maria Lucia, Ricciardi Walter
Dipartimento di Sanità Pubblica, Università Cattolica del Sacro Cuore, Rome, Italy.
President, Istituto Superiore di Sanità, Rome, Italy.
Ann Ist Super Sanita. 2017 Jan-Mar;53(1):46-53. doi: 10.4415/ANN_17_01_10.
The recent global economic crisis is pushing governments worldwide to obtain a more explicit and urgent rationing of resources. The purpose of this study is to provide, through Data Envelopment Analysis (DEA), a methodological framework useful for investigating technical efficiency of hospital care.
To validate such framework, we compared 50 Italian public hospital trusts (AOs) to identify relative efficient using inputs and outputs from national databases. We also evaluated if, and how, efficiency is affected by various exogenous factors.
On average, Italian AOs had an efficiency score of 77% (SD 0.12). Tobit regression model identified a positive association between efficiency and a lower case-mix index, being in the north of Italy, in a region with fiscal autonomy, with a higher public and a lower private expenditure on health as percentage of GDP.
DEA may provide useful and especially objective information regarding the technical efficiency of hospital care and support hospital management and policy makers' decisions.
近期的全球经济危机促使世界各国政府对资源进行更明确、更紧迫的分配。本研究的目的是通过数据包络分析（DEA）提供一个有助于调查医院护理技术效率的方法框架。
为验证该框架，我们比较了50家意大利公立医院信托机构（AO），利用国家数据库中的投入和产出确定相对效率。我们还评估了效率是否以及如何受到各种外部因素的影响。
意大利AO的平均效率得分为77%（标准差0.12）。托比特回归模型确定了效率与较低的病例组合指数、位于意大利北部、所在地区具有财政自主权、卫生方面公共支出较高且私人支出占GDP的比例较低之间存在正相关关系。
DEA可为医院护理的技术效率提供有用且特别客观的信息，并支持医院管理和政策制定者的决策。
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