Volume 21 Issue 1
Jan.  2023
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LI Min, DONG Yu-qi, LI Na, MA Li, WANG Chen, LIU Yan-li, SUN Chen, WANG Fei, WANG Zhong. Construction of the post competency model of rural doctors in Beijing[J]. Chinese Journal of General Practice, 2023, 21(1): 1-5. doi: 10.16766/j.cnki.issn.1674-4152.002798
Citation: LI Min, DONG Yu-qi, LI Na, MA Li, WANG Chen, LIU Yan-li, SUN Chen, WANG Fei, WANG Zhong. Construction of the post competency model of rural doctors in Beijing[J]. Chinese Journal of General Practice, 2023, 21(1): 1-5. doi: 10.16766/j.cnki.issn.1674-4152.002798
shu

Construction of the post competency model of rural doctors in Beijing

doi: 10.16766/j.cnki.issn.1674-4152.002798
  • 1.

    General Practice Department of Beijing Tsinghua University Affiliated Chang Gung Hospital, Tsinghua University Clinical School of Medicine, Beijing 102218, China

Funds:

 17QK17

 首发2016-3-2243

  • Received Date: 2022-02-16
    Available Online: 2023-04-07
    Abstract
  •   Objective  To construct a model of rural doctors' post competency in Beijing, and provide a reference for the improvement of Beijing rural doctors' ability, performance evaluation and training.  Methods  Competency framework and model draft were build using a literature research method and expert group discussion method. A total of 18 experts who were either engaged in Beijing rural doctor research or directly engaged in rural doctor management were selected. From May to September 2019, the improved Delphi expert consultation method was used to send two rounds of consultation forms via email to score the importance, applicability and operability of the indicators. The post competency model of rural doctors in Beijing was modified according to the scores and expert opinions, and the weight of each indicator of the post competency model was calculated using the analytic hierarchy process.  Results  After two rounds of Delphi consultation, the positive coefficient of the two rounds was 100%, the expert' s familiarity with the topic was 0.87, their confidence of judgment was 0.91, making the average authority coefficient 0.89. The final establishment included four main areas, clinical medical service ability, public health service ability, medical humanities ability, education and other skills, with eight second-level indicators and 35 third-level indicators. The weight of each indicator was then calculated. In the first-level indicators, the highest scores were in clinical medical service capacity (0.374) and public health service capacity (0.374). Among the second-level indicators, the national basic public health service (0.091) had the highest weight. In the third-level indicators, urgent and severe on-site treatment (0.021) and chronic disease management (0.018) were the highest scoring.  Conclusion  The post competency model of rural doctors in Beijing is constructed through the improved Delphi method. The positive coefficient and authority coefficient of experts are high, and the selection of evaluation indicators is scientific and reasonable, which can be used as an important reference for evaluating the competency of rural doctors in Beijing. However, the competency model still needs to be constantly revised and improved according to the development of the current situation of rural doctors.

     

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