Journal of Shandong University (Health Sciences) ›› 2025, Vol. 63 ›› Issue (9): 47-56.doi: 10.6040/j.issn.1671-7554.0.2025.0113

• Special Issue on “Big DataEnabled, AI Foundation ModelDriven Multimodal Cohort Design and Analysis” • Previous Articles    

Quantitative analysis of Chinas public hospital salary policy texts based on the two-dimensional framework of policy tools and stakeholders

LI Xinyao1, LI Min2, CHAO Jianqian1, JIN Shengxuan1, CHEN Jianli1, HAO Zeming1   

  1. 1. School of Public Health, Southeast University, Nanjing 210009, Jiangsu, China;
    2. Weifang Municipal Health Development Service Center, Weifang 261044, Shandong, China
  • Published:2025-09-08

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Abstract: Objective To provide basis and reference for policy optimization by analyzing the text of compensation policy of public hospitals in China and exploring the distribution characteristics of policy tools and stakeholder dimensions. Methods Using the content analysis, the two-dimensional analysis framework of "policy tools-stakeholders" was constructed to conduct a coding analysis of the salary policies of public hospitals at the national level from 2015 to 2024. Results A total of 49 policy texts was included. A total of 258 policy text codes were extracted for the policy tool dimension, of which command and regulation type tools were used the most with 59.30%(153/258); followed by information and horticulture type tools with 18.22%(47/258); and capacity building type tools were used the least with 6.20%(16/258). A total of 261 policy text codes were extracted for the stakeholder dimension, with the highest percentage of government-related departments at 70.11%(183/261); followed by hospitals at 12.64%(33/261); and patients and social health insurance organizations at the lowest percentage, both at 1.53%(4/261). Conclusion The current remuneration policy of public hospitals needs improvement. It is recommended to optimize the proportion of the use of policy tools and to build a mechanism of synergistic participation by multiple subjects.

Key words: Public hospitals, Salary system, Policy tools, Stakeholders, Content analysis

CLC Number: 

  • R-012
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