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第4期 总第105期                           南京医科大学学报(社会科学版)京医科大学学报(社会科学版)
                                                  南
                2021年8月                     Journal of Nanjing Medical University(Social Sciences)of Nanjing Medical University(Social Sciences)  · 355  ·
                                            Journal
                  3927-3930                                         1993,10(2):26-28
             [12] 王梦苑,郑函,赵育新. 基于熵权TOPSIS法对武汉地区                 [14] 韩秋霞,郑婕,李沛露,等. 公立医院青年医师培养模
                  社区医养结合养老服务的综合评价[J]. 现代预防医                         式分析——以武汉市为例[J]. 中国卫生事业管理,
                  学,2018,45(3):458-461                              2020,37(1):55-57
             [13] 田风调. RSR 法中的分档问题[J]. 中国卫生统计,                                                (本文编辑:姜 鑫)





                Comprehensive evaluation of Traditional Chinese Medicine service

                          ability in China based on Entropy TOPSIS and RSR

                                                                2
                                                      1
                                            DAI Zeyang ,XU Aijun ,QIAO Xuebin 3
               1. School of Health Economics and Management,2. School of Nursing,3. Headmaster’s Office,Nanjing University of Chinese
                                                 Medicine,Nanjing 210023,China
                 Abstract:This study was aimed to comprehensively evaluate the service ability of Traditional Chinese
             Medicine(TCM)in various provinces and cities of China. Based on Entropy TOPSIS and the RSR method,the
             comprehensive evaluation index of TCM service ability of each province was calculated,i.e. Ci and RSR,
             respectively. The evaluation result of Entropy TOPSIS(Ci value)ranged from 0.143 7 to 0.687 3. RSR evaluation
             showed that the Ci value of TCM service ability in each province was linearly correlated with the Probit value,
                                         2
             and the effect was significant(R =0.837,F=148.597,P<0.01). The regression equation was Ci =0.132 Probit -
             0.398(t=-7.085,P<0.01). There were 4 provinces with weak TCM service ability,9 provinces each with weak
             and general service ability,6 provinces with strong service ability and 3 provinces with strong service ability.
             The service ability of TCM in each province is far from enough,so it is necessary to strengthen the construction
             of TCM ability in terms of financial input and health talents.
                 Key words:entropy weight;TOPSIS;RSR method;service ability of Traditional Chinese Medicine
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