基于熵权TOPSIS和RSR法我国中医药服务能力综合评价
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南京中医药大学

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国家社会科学基金(2018VJX065);江苏省中医药科技项目(ZD201801);江苏高校护理学优势学科建设工程资助项目(2019YSHL040);江苏省教育厅哲学社会科学重点研究基地基金(2019A01)


Comprehensive evaluation of Chinese medicine service capacity of provinces in China based on Entropy TOPSIS and RSR
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Nanjing University of Chinese Medicine

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    摘要:

    目的:综合评价我国各省市的中医药服务能力。方法:基于熵权TOPSIS和RSR法计算各省中医药服务能力综合评价指标C_i和RSR值,并进行排序。结果:熵权TOPSIS的评价结果C_i值的范围在0.1437-0.6873内。RSR法评价显示,各省市中医药服务能力的C_i值与Probit值呈线性相关且效果显著(R^2=0.837,F=148.597,P<0.01),回归方程C_i=0.132Probit-0.398(t=-7.085,P<0.01)。中医药服务能力弱的包含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。 结论: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能力建设。

    Abstract:

    Objective: To comprehensively evaluate the service ability of traditional Chinese medicine in various provinces and cities of China. Methods: Based on Entropy TOPSIS and RSR method, the comprehensive evaluation index of TCM service ability of each province was calculated C_i and RSR. Results: The evaluation result of Entropy TOPSIS was (The value of C_i )ranged from 0.1437 to 0.6873. RSR evaluation showed that the C_i value of TCM service ability in each province was linearly correlated with probit value, and the effect was significant(R^2=0.837,F=148.597,P<0.01)C_i=0.132Probit-0.398(t=-7.085,P<0.01).There are four provinces with weak TCM service ability, nine provinces with general TCM service ability and three provinces with strong TCM service ability. Conclusion: The service capacity of TCM in each province is far from enough, so it is necessary to strengthen the construction of TCM capacity in terms of financial input and health talents.

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  • 收稿日期:2021-04-19
  • 最后修改日期:2021-05-14
  • 录用日期:2021-08-18
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