中国全科医学 ›› 2020, Vol. 23 ›› Issue (1): 19-24.DOI: 10.12114/j.issn.1007-9572.2019.00.630

所属专题: 全科医学激励机制最新文章合集

• 专题研究 • 上一篇    下一篇

基于胜任力的家庭医生团队中全科医生薪酬激励机制研究

李皓,李金林*,朱镜蓉   

  1. 100081北京市,北京理工大学管理与经济学院
    *通信作者:李金林,教授,博士生导师;E-mail:1696858088@qq.com
  • 出版日期:2020-01-05 发布日期:2020-01-05
  • 基金资助:
    国家自然科学基金重点项目(71432002)——医疗与健康的数据分析与决策;国家留学基金资助项目(201906030126);北京市科学技术委员会基金项目(BKBJ-ZY-18118)——北京城市能源系统气候变化适应性分析技术研发

Competence-based Incentive Payment Mechanism for General Practitioners in a Family Doctor Team 

LI Hao,LI Jinlin*,ZHU Jingrong   

  1. School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China
    *Corresponding author:LI Jinlin,Professor,Doctoral supervisor;E-mail:1696858088@qq.com
  • Published:2020-01-05 Online:2020-01-05

摘要: 建立基于胜任力的全科医生薪酬激励机制,有利于提高全科医生实施家庭医生签约服务的主动性和积极性。本文首先运用组合赋权法得到全科医生的胜任力边际成本,然后运用委托代理理论构建了针对不同胜任力水平的主动型薪酬激励机制。即由政府部门设计全科医生薪酬激励机制,促使不同胜任力水平的全科医生主动选择对应的绩效产出和薪酬,从而实现政府部门和全科医生双方共赢的效果。该激励机制能够改变传统同岗同酬的不合理现象,使政府部门将全科医生的胜任力水平与薪酬激励紧密挂钩,实现了政府部门与全科医生的激励协同。

关键词: 胜任力, 全科医生, 薪酬, 激励机制

Abstract: The development of a competence-based incentive payment mechanism for general practitioners(GPs) is beneficial to the increase of GPs' initiative in delivering contracted family doctor services.We firstly calculated the competency-based marginal cost for GPs by use of combination weighting algorithm,then developed a proactive incentive payment mechanism by competence level using the principal-agent theory,namely,according to their own competence,GPs actively choose the level of performance and performance-related pay listed in the incentive payment mechanism for GPs designed by the government department,by which a win-win situation can be achieved for the government department and GPs.By use of this mechanism,equal pay for equal work regardless of the levels of performance may be changed,and the pay may be closely associated with performance of GPs,realizing incentive cooperation between the government department and GPs.

Key words: Competence, General practitioners, Compensation, Incentive mechanism