摘要
目的 对我国各地区医疗救助政策进行量化评价,以期为优化医疗救助政策体系提供参考。方法 采用文本挖掘法对各省份发布的重特大疾病医疗救助政策进行分析,构建我国重特大疾病医疗救助政策的PMC指数模型。结果 所选取的21项重特大疾病医疗救助政策的PMC指数平均值为6.59,其中7项为良好级政策,其余均为可接受,没有不达标准的政策样本;各地区重特大疾病医疗救助政策的PMC指数量化结果差异显著。结论 我国医疗救助政策整体处于可接受水平,仍存在较大的发展空间,需要进一步提高统筹层次,扩大保障范围。
Objective To perform a quantitative evaluation on the medical care policies in different regions of China in an attempt to provide a reference for the policy system optimization.Methods Text mining method was used to analyze the medical care policies for major and serious diseases at the provincial level,and establish a PMC index model.Results The average PMC index was 6.59 for 21 medical assistance policies for major and serious diseases,of which 7 were at a good level and the rest were all acceptable.There was no substandard policy.There were significant differences in the PMC index among different regions.Conclusion In China,overall medical care is at an acceptable level and there is still much room for its further development.It is necessary to improve the overall planning and expand the scope of security.
作者
安永红
王志凌
An Yonghong;Wang Zhiling(School of Public Management of Guizhou University;College of Tourism and Cultural Industry of Guizhou University)
出处
《中国医疗管理科学》
2023年第3期1-6,共6页
Chinese Journal Of Medical Management Sciences
基金
国家社科基金项目“易地扶贫搬迁大型安置社区治理模式转型与协同治理实现路径研究”(22XGL021)。
关键词
医疗救助
重特大疾病
PMC指数模型
政策文本
量化评价
Medical assistance
Major and serious diseases
PMC index model
Policy text
Quantitative evaluation
