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[目的]利用数据包络分析方法对综合绩效分析的评价指标进行筛选。[方法]运用预先选入的指标建立数据包络分析模型,求出n个评估单位的相对效率向量θ=■=(θ1,θ2,…θn)T,采用后退法分别在剔除每一投入变量或产出变量时计算各评估单元的相对效率向量■*,根据■*与■的欧氏距离来判断在模型中对该变量的取舍。[结果]运用数据包络分析方法对某市公立医院综合绩效评估指标进行筛选,最终选出9个指标作为综合绩效评估指标。[结论]数据包络分析方法可以用来对综合绩效分析的指标进行筛选。
[Objective] The data envelopment analysis method was used to screen the evaluation index of comprehensive performance analysis. [Method] The data envelopment analysis model was established by using pre-selected indexes, and the relative efficiency vector of n evaluation units was obtained as θ = ■ = (θ1, θ2, ... θn) T. The regression method was used to eliminate each input variable Calculate the relative efficiency vector of each evaluation unit when generating or outputting variables ■ *, and judge the trade-off of the variable in the model according to the Euclidean distance of ■ * and ■. [Results] The data envelopment analysis method was used to screen the comprehensive performance evaluation index of a public hospital in a certain city, and finally selected 9 indexes as the comprehensive performance evaluation index. [Conclusion] Data envelopment analysis method can be used to screen the index of comprehensive performance analysis.