Volume 21 Issue 11
Nov.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(11): 1813-1817
QI Li, WU Shuang, BAI Hairong, SUN Yu. Quantitative research on general practitioner policies in China based on a three-dimensional analysis framework on a three-dimensional analysis framework[J]. Chinese Journal of General Practice, 2023, 21(11): 1813-1817. doi: 10.16766/j.cnki.issn.1674-4152.003231
Citation: QI Li, WU Shuang, BAI Hairong, SUN Yu. Quantitative research on general practitioner policies in China based on a three-dimensional analysis framework on a three-dimensional analysis framework[J]. Chinese Journal of General Practice, 2023, 21(11): 1813-1817. doi: 10.16766/j.cnki.issn.1674-4152.003231
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Quantitative research on general practitioner policies in China based on a three-dimensional analysis framework on a three-dimensional analysis framework

doi: 10.16766/j.cnki.issn.1674-4152.003231
  • 1.

    North China University of Science and Technology, School of Economics and Management, Tangshan, Hebei 063210, China

Funds:

 HB22SH004

  • Received Date: 2023-09-01
    Available Online: 2024-01-13
    Abstract
  •   Objective   To analyze the text of China' s general practitioner training policy, explore the problems in the policy, and provide references and suggestions for the policy improvement.   Methods   Retrieve policy documents related to the general practitioner cultivation from the websites of the State Council and relevant ministries and institutions, and extract and code policy texts from the perspective of policy tools. Based on the three-dimensional analysis framework of policy tools, cultivation system, and policy effectiveness, apply research methods such as content analysis and PMC index model to analyze the 35 retrieved general practitioner cultivation policies retrieved.   Results   After encoding 35 policy texts, a total of 165 policy codes were obtained. Among the 165 policy codes, authoritative, motivational, symbolic and dissuasive, capacity building, and systemic transformational tools accounted for 41.82% (69/165), 6.67% (11/165), 7.27% (12/165), 25.45% (42/165) and 18.79% (31/165), respectively. Among the 127 policy codes in the Y dimension, the proportion of policy instruments used at the three levels of institutional education, postgraduate education, and continuing education are 21.26% (27/127), 41.73% (53/127), and 37.01% (47/127), respectively. The four representative general practitioner training policies selected are labeled as P1 to P4, with PMC index scores of 7.401, 6.201, 7.334 and 6.001, respectively. The average PMC index score of the four policy texts is 6.734. Based on the PMC index score and policy level, policy effectiveness P1>P3>P2>P4, the policy effectiveness levels P1 and P3 are excellent and the policy effectiveness levels P2 and P4 are good.   Conclusion   The use of different policy tools is uneven, and there are significant differences in their use across the three levels of training. The overall effectiveness of general practitioners' policies is at a good level, but there are weaknesses. Propose the rational use of policy tools and strengthen the balance of each policy tool; at the same time, promote the integration of policy tools and training systems to improve their coordination; improve the timeliness, scientificity, and effectiveness of policies for general practitioners.

     

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