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沈阳药科大学工商管理学院,沈阳 110016
Published:15 October 2024,
Received:17 March 2024,
Revised:19 July 2024,
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高文萍,王淑玲.基于PMC指数模型的国谈药品“双通道”管理政策量化评价 Δ[J].中国药房,2024,35(19):2335-2339.
GAO Wenping,WANG Shuling.Quantitative evaluation of “dual channel” management policy of national medical insurance negotiation drugs based on PMC index model[J].ZHONGGUO YAOFANG,2024,35(19):2335-2339.
高文萍,王淑玲.基于PMC指数模型的国谈药品“双通道”管理政策量化评价 Δ[J].中国药房,2024,35(19):2335-2339. DOI: 10.6039/j.issn.1001-0408.2024.19.03.
GAO Wenping,WANG Shuling.Quantitative evaluation of “dual channel” management policy of national medical insurance negotiation drugs based on PMC index model[J].ZHONGGUO YAOFANG,2024,35(19):2335-2339. DOI: 10.6039/j.issn.1001-0408.2024.19.03.
目的
2
对省级层面国家医保谈判药品“双通道”管理政策进行量化评价,分析不足之处和优秀经验,为该类政策的优化提供参考。
方法
2
以31个省份国家医保谈判药品“双通道”管理政策为研究对象,运用文本挖掘法,归纳政策重点内容;构建政策一致性(PMC)指数模型,通过评价模型从整体角度对31个省份“双通道”管理政策进行量化分析;并以北京市和重庆市为例,对比优秀政策与可接受政策的差异性。
结果
2
31个省份中,18个省份的政策PMC指数介于6.00~<8.00,属于优秀政策;13个省份的政策PMC指数介于4.00~<6.00,属于可接受政策。北京市和重庆市的政策在政策性质、政策时效等5个层面保持一致,而在政策内容、政策受众等4个层面存在差异。
结论
2
多数省份“双通道”管理政策处于较为完善的水平。部分省份后续还需根据本省医药卫生发展实际情况,持续优化政策设计,完善政策细则;搭建定点药店管理模式,明确遴选规则与退出机制;重视药学服务建设,推动处方外流。
OBJECTIVE
2
To quantitatively evaluate the “dual channel” management policy of national medical insurance negotiation drugs at the provincial level, analyze the shortcomings and excellent experience and provide reference for the optimization of the policy.
METHODS
2
Taking the “double-channel” management policy of national medical insurance negotiation drugs in 31 provinces as the research object, text mining method was used to summarize the key contents of the policy; the policy modeling consistency (PMC) index model is constructed, and the “dual channel” management policies of 31 provinces are quantitatively analyzed through the evaluation model. Taking Beijing and Chongqing as examples, the differences between good policies and acceptable policies are compared.
RESULTS
2
Among the 31 provinces, the PMC index of 18 provinces is between 6.00 and <8.00, which belongs to the excellent policies. The PMC index of 13 provinces is between 4.00 and <6.00, which belongs to acceptable policies. The policies of Beijing and Chongqing are consistent in 5 aspects, such as policy nature and policy effectiveness, while there are differences in 4 aspects, such as policy content and policy audience.
CONCLUSION
2
The “dual channel” management policies in most provinces are at a relatively perfect level, and some provinces need to continuously optimize the policy design and improve the policy rules according to the actual situation of their own medical and health development; establish the management mode of designated pharmacies, clarify the selection rules and exit mechanism; pay attention to the construction of pharmaceutical care, and promote the outflow of prescriptions.
国家医保谈判药品双通道PMC指数模型文本挖掘法政策研究量化评价
dual channelPMC index modeltext mining methodpolicy researchquantitative evaluation
陶立波,吴瑶. 医保国谈药落地问题的交易成本视角分析[J]. 卫生软科学,2022,36(11):67-70.
TAO L B,WU Y. Analysis from the perspective of transaction cost on drug delivery in national reimbursement drug list[J]. Soft Sci Health,2022,36(11):67-70.
国家医保局,国家卫生健康委. 关于建立完善国家医保谈判药品“双通道”管理机制的指导意见[EB/OL].(2021-04-22)[2024-02-12]. https://www.nhsa.gov.cn/art/2021/5/10/art_104_6527.htmlhttps://www.nhsa.gov.cn/art/2021/5/10/art_104_6527.html.
State Medical Insurance Bureau,National Health Commission.Guidance on establishing and improving the “dual channel” management mechanism for drugs in national medical insurance negotiations[EB/OL].(2021-04-22)[2024-02-12]. https://www.nhsa.gov.cn/art/2021/5/10/art_104_6527.htmlhttps://www.nhsa.gov.cn/art/2021/5/10/art_104_6527.html.
顾海,刁仁昌,石斌,等. 国谈药“双通道”落地存在的问题及对策建议[J]. 中国医疗保险,2023(8):59-65.
GU H,DIAO R C,SHI B,et al. The problems and countermeasures of the implementation of the “double channel” policy of national negotiated drugs[J]. China Health Insur,2023(8):59-65.
彭博,姜骁桐,张小娟,等.国家医保谈判药品“双通道”管理实施现状与政策分析[J].中国卫生政策研究,2024,17(5):9-16.
PENG B,JIANG X T,ZHANG X J,et al. Current situation and policy analysis of the implementation of the “dual channel” management of drugs in the national medical insu- rance negotiation[J].Chin J Health Policy,2024,17(5):9-16.
RUIZ M,YAP F,NAGARAJ S. Beyond the ceteris paribus assumption:modeling demand and supply assuming Omnia Mobilis[J]. Int J Economic Res,2008(2):185-194.
王伟光,宋洪玲. 数字经济支持政策工具的量化评价:基于省级层面政策的文本分析[J]. 中国科技论坛,2023(6):97-107.
WANG W G,SONG H L. Quantitative evaluation of policy tools for digital economy support:text analysis based on inter-provincial level policy[J]. Forum Sci Technol China,2023(6):97-107.
张永安,耿喆. 我国区域科技创新政策的量化评价:基于PMC指数模型[J]. 科技管理研究,2015,35(14):26-31.
ZHANG Y A,GENG Z. The quantitative evaluation of regional science and technology innovation policy:based on the index of PMC model[J]. Sci Technol Manag Res,2015,35(14):26-31.
顾一纯,何达,黄佳妤,等. 基于PMC指数模型的我国健康医疗大数据发展的政策环境研究[J]. 中国卫生政策研究,2022,15(4):45-51.
GU Y C,HE D,HUANG J Y,et al. Research on the policy environment of China’s healthcare big data development based on PMC index model[J]. Chin J Health Policy,2022,15(4):45-51.
楚美金,徐文,马漫遥. 基于PMC指数模型的我国药品网络销售监管政策量化评价[J]. 现代预防医学,2023,50(18):3358-3366.
CHU M J,XU W,MA M Y. Quantitative evaluations of China’s drug online sales regulatory policies based on the PMC index model[J]. Mod Prev Med,2023,50(18):3358-3366.
薛惠元,张永高. 共同富裕视域下我国长期护理保险政策评价与优化路径研究:基于PMC指数模型[J]. 中国卫生政策研究,2023,16(6):10-19.
XUE H Y,ZHANG Y G. Study on the evaluation and optimization path of long-term care insurance policy in China from the perspective of common prosperity:based on PMC model[J]. Chin J Health Policy,2023,16(6):10-19.
ESTRADA M. Policy modeling:definition,classification and evaluation[J]. J Policy Model,2011,33(4):523-536.
宣天惠,李瑞锋,郑秋莹,等. “互联网+医疗”政策量化研究[J]. 中国卫生资源,2022,25(3):385-391.
XUAN T H,LI R F,ZHENG Q Y,et al. Quantitative research on the policy of “internet+medical care” [J]. Chin Health Resour,2022,25(3):385-391.
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