基于PMC指数模型的全科医生培养与激励政策量化研究  

Quantitative analysis on general practitioner training and incentive policies:based on PMC index model

作　　者：周佳佳 王军永[1] 刘雨璇 谭浩 Zhou Jiajia;Wang Junyong;Liu Yuxuan;Tan Hao(Institute of Traditional Chinese Medicine and Big Health Development,Jiangxi University of Chinese Medicine,Nanchang 330004,Jiangxi Province,China)

机构地区：[1]江西中医药大学中医药与大健康发展研究院,南昌330004

出　　处：《中国医疗管理科学》2024年第5期23-30,共8页Chinese Journal Of Medical Management Sciences

基　　金：国家自然科学基金项目“基于临床路径的慢性病分级诊疗模式评价与优化研究:以糖尿病为例”(71764012)。

摘　　要：目的对我国全科医生培养与激励政策进行分析与量化评价,为政府部门制定政策提供参考依据。方法对国家层面发布的26项全科医生培养与激励政策进行文本挖掘,建立PMC指数模型。结果全科医生培养与激励政策总体设计较为科学合理,其中8项政策表现良好,18项政策表现合格,良好等级的政策占30.8%。结论我国全科医生培养与激励政策基本完善,但在政策时效、发文机构、政策目标和培养措施等方面相对存在一些欠缺。建议通过提升政策效力、加强各部门间的协同合作、综合运用各类培养措施等举措,推进全科医生培养与激励政策有效落地。Objective To quantitatively evaluate the training and incentive policies of general practitioners(GP)in China,aiming to provide reference for policy-making.Methods Text mining was conducted on 26 general practitioner training and incentive policies issued by the sectors at the central government level to establish a policy modeling consistency(PMC)index model.Results The overall design of GP training and incentive policies were scientifically reasonable,among which 8 policies(30.8%)performed well and 18 policies were qualified.Conclusion The GP training and incentive policies in China are basically perfect,but there are some deficiencies in policy timeliness,policy issuers,policy objectives,and training measures.It is suggested to raise the validity of policies,strengthen the coordination and cooperation among various sectors and departments,and integrate multiple training measures in an attempt to further promote the implementation of GP training and incentive policies.

关 键 词：全科医生 培养与激励 政策评价 PMC指数模型 

分 类 号：R197[医药卫生—卫生事业管理]