基于PMC指数模型的2002-2023年我国职业病防治政策文本量化评价
Quantitative evaluation of national policy texts on occupational disease prevention and control in China from 2002 to 2023 based on PMC index model
李玉敏 1陈丹镝1
作者信息
- 1. 四川大学华西公共卫生学院/华西第四医院,成都 610041
- 折叠
摘要
目的 分析我国目前职业病防治工作的政策环境,为职业病防治决策的优化和完善提供依据和建议.方法 收集2002-2023年我国国家层面职业病防治相关政策,结合职业病防治工作特点,采用文本挖掘工具、文献查阅以及专家访谈设计评价指标,并构建PMC指数模型,对我国职业病防治政策进行量化评价.结果 共纳入国家层面职业病防治相关政策27项,其中3项为优秀水平,19项为良好水平,5项为可接受水平,PMC指数均值为7.77.结论 我国职业病防治国家层面政策文本整体质量良好,具有科学性、合理性,但在多部门联动、创新驱动、保障激励措施等方面仍有较大改善空间.
Abstract
Objective To analyze the current policy environment of occupational disease prevention and control in China,and to provide basis and recommendations for the optimization and improvement of occupational disease prevention and control decision-making.Methods The relevant policies of occupational disease prevention and control at the national level in China from 2002 to 2023 were collected.Combined with the characteristics of occupational disease prevention and control work,the evaluation indicators were designed through text mining tools,literature review and expert interviews,and the PMC(policy modeling consistency)index model was constructed to quantitatively evaluate China's occupational disease prevention and control policies.Results A total of 27 national-level occupational disease prevention and control policies were included,of which 3 were rated at an excellent level,19 at a good level,and 5 at an acceptable level.The average PMC index was 7.77.Conclusions The overall quality of China's national-level policy texts on occupational disease prevention and control is good,demonstrating scientific and rational attributes.However,there is still significant room for improvement in areas such as inter-departmental collaboration,innovation-driven measures and ensuring incentive initiatives.
关键词
职业病防治/PMC指数模型/文本挖掘/政策量化评价Key words
occupational disease prevention and control/PMC index model/text mining/quantitative valuation of policy引用本文复制引用
出版年
2024
NETL
NSTL
万方数据