职业与健康 ›› 2025, Vol. 41 ›› Issue (16): 2250-2255.

• 论著 • 上一篇    下一篇

基于PMC指数模型的心理健康政策量化评价

张新玉a, 马国芳b   

  1. 新疆医科大学a公共卫生学院,b健康管理学院,新疆 乌鲁木齐 830017
  • 收稿日期:2025-01-15 修回日期:2025-01-26 出版日期:2025-08-15 发布日期:2025-12-13
  • 通信作者: 马国芳,教授,E-mail:420194943@qq.com
  • 作者简介:张新玉,女,在读硕士研究生,研究方向为社会医学与卫生事业管理。
  • 基金资助:
    新疆维吾尔自治区高校思想政治工作创新研究项目(2023GXSZZD011)

Quantitative evaluation of mental health policies based on PMC index modeling

ZHANG Xinyua, MA Guofangb   

  1. a School of Public Health,b School of Health Management,Xinjiang Medical University,Urumqi,Xinjiang 830017,China
  • Received:2025-01-15 Revised:2025-01-26 Online:2025-08-15 Published:2025-12-13
  • Contact: MA Guofang,Professor,E-mail:420194943@qq.com

摘要: 目的 对我国心理健康政策进行量化评价,为政策的制定与优化提供参考。方法 搜索2024年4月前国家层面颁布的与心理健康相关的35项政策,借助ROSTCM 6绘制知识网络图谱,对政策文本进行深入挖掘,并建立心理健康政策的量化评价指标体系。体系包括9个一级指标和32个二级指标,用于对随机选取的10项政策进行量化分析。结果 10项政策PMC指数均值为6.99,均属于优秀、可接受水平,无完美和不佳政策。结论 心理健康政策整体设计基本完善,但需在政策性质、政策评价、政策时效、政策操作性方面着手进行完善。

关键词: 心理健康政策, PMC指数模型, 量化评价, 文本分析

Abstract: Objective To quantitatively evaluate mental health policies in China and provide reference for policy formulation and optimization. Methods Totally 35 policies related to mental health enacted at the national level before April 2024 were searched. The ROSTCM6 was used to draw a knowledge network graph,conduct in-depth exploration of policy texts,and establish a quantitative evaluation index system for mental health policies. The system included nine first-level indicators and 32 second-level indexes,which was used for quantitative analysis of 10 randomly selected policies. Results The mean value of the PMC index of the 10 policies was 6.99,all of which belonged to the excellent and acceptable level,and there were no perfect and poor policies. Conclusion The overall design of mental health policies is basically perfect,but it needs to be improved in terms of policy nature,policy evaluation,policy timeliness,and policy operability.

Key words: Mental health policy, PMC index modeling, Quantitative evaluation, Text analysis

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