Shimshak Daniel G, Lenard Melanie L, Klimberg Ronald K
Department of Management Science and Information Systems, University of Massachusetts Boston, 100 Morrissey Blvd, Boston, MA 02125, , ,
Omega. 2009 Jun 1;37(3):672-685. doi: 10.1016/j.omega.2008.05.004.
When using data envelopment analysis (DEA) as a benchmarking technique for nursing homes, it is essential to include measures of the quality of care. We survey applications where quality has been incorporated into DEA models and consider the concerns that arise when the results show that quality measures have been effectively ignored. Three modeling techniques are identified that address these concerns. Each of these techniques requires some input from management as to the proper emphasis to be placed on the quality aspect of performance. We report the results of a case study in which we apply these techniques to a DEA model of nursing home performance. We examine in depth not only the resulting efficiency scores, but also the benchmark sets and the weights given to the input and output measures. We find that two of the techniques are effective in insuring that DEA results discriminate between high and low quality performance.
在将数据包络分析(DEA)用作疗养院的标杆管理技术时,纳入护理质量指标至关重要。我们调查了将质量纳入DEA模型的应用情况,并考虑当结果表明质量指标被有效忽略时出现的问题。确定了三种解决这些问题的建模技术。每种技术都需要管理层提供一些关于应在绩效质量方面给予适当重视的意见。我们报告了一个案例研究的结果,在该研究中我们将这些技术应用于疗养院绩效的DEA模型。我们不仅深入研究了由此产生的效率得分,还研究了标杆集以及赋予投入和产出指标的权重。我们发现其中两种技术在确保DEA结果区分高质量和低质量绩效方面是有效的。