中国医疗管理科学2024,Vol.14Issue(5) :23-30.DOI:10.3969/j.issn.2095-7432.2024.05.004

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

周佳佳 王军永 刘雨璇 谭浩
中国医疗管理科学2024,Vol.14Issue(5) :23-30.DOI:10.3969/j.issn.2095-7432.2024.05.004

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

周佳佳 1王军永 1刘雨璇 1谭浩1
扫码查看

作者信息

  • 1. 330004 南昌,江西中医药大学中医药与大健康发展研究院
  • 折叠

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.

Abstract

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

Key words

General practitioner/Training and motivation/Policy evaluation/PMC index model

引用本文复制引用

基金项目

国家自然科学基金项目(71764012)

出版年

2024
中国医疗管理科学

中国医疗管理科学

ISSN:
段落导航相关论文