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1.山东第二医科大学管理学院,山东 潍坊 261053
2.重庆医科大学公共卫生学院,重庆 400016
Received:03 November 2023,
Revised:2024-03-20,
Accepted:21 March 2024,
Published:15 May 2024
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鲜国炜,赵航,宫云娜,等.基于三维分析框架的我国中医药应急管理政策文本分析[J].中国药房,2024,35(09):1039-1043.
XIAN Guowei,ZHAO Hang,GONG Yunna,et al.Textual analysis of China’s traditional Chinese medicine emergency management policy based on three-dimensional analysis framework[J].ZHONGGUO YAOFANG,2024,35(09):1039-1043.
鲜国炜,赵航,宫云娜,等.基于三维分析框架的我国中医药应急管理政策文本分析[J].中国药房,2024,35(09):1039-1043. DOI: 10.6039/j.issn.1001-0408.2024.09.03.
XIAN Guowei,ZHAO Hang,GONG Yunna,et al.Textual analysis of China’s traditional Chinese medicine emergency management policy based on three-dimensional analysis framework[J].ZHONGGUO YAOFANG,2024,35(09):1039-1043. DOI: 10.6039/j.issn.1001-0408.2024.09.03.
目的
2
剖析我国中医药应急管理政策文本,揭示我国中医药应急管理政策的特点、问题和改进方向,为提高中医药应急管理水平提供参考和借鉴。
方法
2
运用Nvivo11软件对2016-2023年中央层面发布的24份中医药应急管理政策文本进行编码分析,构建基于政策工具、利益相关者和政策力度的三维分析框架。
结果
2
政策工具维度中,环境型最多(46.74%)、供给型次之(31.80%)、需求型最少(21.46%);利益相关者维度中,医疗机构(40.63%)和政府部门(31.25%)较多,医务人员(14.84%)和居民(13.28%)较少;政策力度维度中,政策力度整体偏弱,各政策工具和利益相关者的效力差异较为显著。交叉分析结果显示,政策工具、利益相关者和政策力度存在一定程度的不匹配。
结论
2
中医药应急管理的供给型政策工具使用略有欠缺,应统筹优化政策工具使用;利益相关者分布较不均衡,应增强利益相关者的协同性;政策力度整体偏弱,应完善相关政策的顶层设计。
OBJECTIVE
2
To analyze the traditional Chinese medicine (TCM) emergency management policy texts in China, reveal the characteristics, problems and improvement directions of Chinese medicine emergency management policies in China, and provide references and lessons for improving the level of Chinese medicine emergency management.
METHODS
2
Twenty-four TCM emergency management policy texts issued at the central level from 2016 to 2023 were coded and analyzed using Nvivo11 software to construct a three-dimensional analysis framework based on policy tools, stakeholders and policy strength.
RESULTS
2
In the policy tools dimension, the environmental type was the most (46.74%), the supply type was the second (31.80%), and the demand type was the least (21.46%); in the stakeholder dimension, there were more healthcare institutions (40.63%) and government departments (31.25%), and fewer healthcare workers (14.84%) and residents (13.28%); in the policy strength dimension, the overall policy strength was poor, and the differences in effectiveness across policy instruments and stakeholders were more significant. The cross-cutting results showed that there was a certain degree of mismatch in policy instruments, stakeholders and policy strength.
CONCLUSIONS
2
The use of supply-oriented policy tools is slightly lacking, and the use of policy tools should be optimized in a coordinated manner; the distribution of stakeholders is relatively unbalanced, and synergies among stakeholders should be enhanced; the overall strength of policies is poor, and the top-level design of relevant policies should be improved.
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