Chirikos T N, Sear A M
H. Lee Moffitt Cancer Center and Research Institute, Cancer Control Moffitt Research Center, University of South Florida, Tampa 33612-9497, USA.
Health Serv Res. 2000 Feb;34(6):1389-408.
To compare the results of scoring hospital efficiency by means of two new types of frontier models, Data Envelopment Analysis (DEA) and stochastic frontier regression (SFR).
Financial records of Florida acute care hospitals in continuous operation over the period 1982-1993.
Comparable DEA and SFR models are specified, and these models are then estimated to obtain the efficiency indexes yielded by each. The empirical results are subsequently examined to ascertain the extent to which they serve the needs of hospital policymakers.
A longitudinal or panel data set is assembled, and a common set of output, input, and cost indicators is constructed to support the estimation of comparable DEA and SFR models.
DEA and SFR models yield convergent evidence about hospital efficiency at the industry level, but divergent portraits of the individual characteristics of the most and least efficient facilities.
Hospital policymakers should not be indifferent to the choice of the frontier model used to score efficiency relationships. They may be well advised to wait until additional research clarifies reasons why DEA and SFR models yield divergent results before they introduce these methods into the policy process.
通过两种新型前沿模型，即数据包络分析（DEA）和随机前沿回归（SFR），比较医院效率评分结果。
1982 - 1993年期间持续运营的佛罗里达州急症护理医院的财务记录。
指定可比的DEA和SFR模型，然后对这些模型进行估计以获得各自产生的效率指数。随后对实证结果进行检验，以确定它们满足医院政策制定者需求的程度。
汇编纵向或面板数据集，并构建一组共同的产出、投入和成本指标，以支持可比DEA和SFR模型的估计。
DEA和SFR模型在行业层面产生了关于医院效率的趋同证据，但在效率最高和最低的设施的个体特征方面呈现出不同的情况。
医院政策制定者不应忽视用于对效率关系进行评分的前沿模型的选择。在将这些方法引入政策过程之前，他们最好等到更多研究阐明DEA和SFR模型产生不同结果的原因。
