A study on the public hospital ranking based on super efficiency DEA model
10.3760/cma.j.cn111325-20200816-01788
- VernacularTitle:基于超效率DEA模型的我国公立医院排行榜研究
- Author:
Shuyan GUO
1
;
Meng LI
;
Wei YANG
;
Tingting YANG
;
Chang YIN
;
Guangyu HU
;
Siping DONG
Author Information
1. 国家卫生健康委医院管理研究所，北京 100044
- From:
Chinese Journal of Hospital Administration
2020;36(11):896-901
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop a new kind of efficiency-based hospital ranking based on existing major hospital rankings with reference to hospital input data.Methods:DEA method was called into play and built five models for hospital ranking according to the efficiency value so calculated. The hospital beds available and the number of employees of 59 general hospitals in 2018 were used as the input indicators, and China′s Best Hospitals ranking by Fudan University′s Hospital Management Institute(Fudan ranking)and the total scoring and individual items evaluation from China Hospital STEM ranking by the Medical Information Institute of the Chinese Academy of Medical Sciences were used as the output indicators.Results:The correlation coefficients between hospital beds and the scores from Fudan-rankings and STEM-ranking were 0.08 and 0.09 respectively( P>0.05), and the correlation coefficients between personnel and scores from the two rankings were 0.34 and 0.39 respectively( P<0.01). The correlation coefficients of the efficiency values of the five super-efficiency DEA models and the beds were 0.37, -0.61, -0.71, -0.61 and-0.61 respectively( P<0.01), and the correlation coefficients of personnel were-0.17, -0.37, -0.60, -0.39 and -0.39( P<0.01)respectively. Compared with the original ranking, the ranking of the efficiency value of the super-efficiency DEA model found the average ranking of hospitals in Beijing and Shanghai rose by 6.38 places, and the ranking of hospitals in non-Beijing and Shanghai areas dropped by 4.37 places on average. The difference was statistically significant( P=0.02), and other differences in the ranking of different types hospitals were not statistically significant. Conclusions:Thanks to the super-efficiency DEA efficiency value which is added with such input indicators as hospital beds and personnel, the ranking becomes more scientific and comprehensive. The research results can provide references for more rational patient flow and encourage hospitals onto a more healthy development pathway.
