基于熵权TOPSIS和秩和比法的我国中医药服务能力
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国家社会科学基金“中医针灸技术失传和流传的人文影响因素及其机制研究”(2018VJX065);江苏省教育厅哲学社会科学重点研究基地基金“江苏重大风险管理与中医药防控政策研究中心”(2019A01);江苏省中医药科技项目“江苏省中医药总费用核算研究”(ZD201801)


Comprehensive evaluation of Traditional Chinese Medicine service ability in China based on Entropy TOPSIS and RSR
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    摘要:

    为综合评价我国各省市的中医药服务能力,基于熵权TOPSIS模型和秩和比(RSR)法计算各省中医药服务能力综合评价指标Ci和RSR值,并进行排序。熵权TOPSIS模型的评价结果Ci值的范围为0.143 7~0.687 3。RSR法评价显示,各省市中医药服务能力的Ci值与Probit值呈线性相关且效果显著(R2=0.837,F=148.597,P<0.01),回归方程Ci=0.132 Probit-0.398(t=-7.085,P<0.01)。结果显示,中医药服务能力弱的有4个省,较弱和一般的各有9个省,较强的有6个省,强的有3个省。各省中医药服务能力差距较大,需针对财政投入、卫生人才等方面加强中医药服务能力建设。

    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, and the effect was significant(R2=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.

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戴泽阳,徐爱军,乔学斌.基于熵权TOPSIS和秩和比法的我国中医药服务能力[J].南京医科大学学报(社会科学版),2021,(4):350~355

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  • 收稿日期:2021-04-19
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  • 在线发布日期: 2021-09-06
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