基于PMC指数模型的老年健康政策量化评价研究  

Quantitative Evaluation of Elderly Health Policies in China Based on PMC Index Model

作　　者：王安莉[1,2,3] 王建玲 张文婷[2,3] 罗海波[1] 文庭孝[2,3] 杨飞龙[1,4] WANG Anli;WANG Jianling;ZHANG Wenting;LUO Haibo;WEN Tingxiao;YANG Feilong(The Third Xiangya Hospital of Central South University,Changsha 410013,China;School of Life Science,Central South University,Changsha 410013,China;Key Laboratory of Hunan Provincial General Higher Education Institutions for Medical Information Research(Central South University),Changsha 410013,China;Key Technologies and Application Evaluation of Intelligent Assisted Diagnosis and Treatment in Hunan Engineering Research Center,Changsha 410013,China)

机构地区：[1]中南大学湘雅三医院,长沙410013 [2]中南大学生命科学学院,长沙410013 [3]医学信息研究湖南省普通高等学校重点实验室(中南大学),长沙410013 [4]智能辅助诊疗关键技术及应用评价湖南省工程研究中心,长沙410013

出　　处：《医学信息学杂志》2024年第11期36-42,共7页Journal of Medical Informatics

基　　金：湖南省教育厅项目(项目编号:23A0026)。

摘　　要：目的/意义通过政策文本挖掘及量化评价,对当前老年健康政策体系建设进行讨论,为未来政策调整和优化提供参考。方法/过程以2019—2023年有关部门出台的老年健康相关政策为研究对象,运用ROST文本数据挖掘工具获得高频词表及语义网络,运用Gephi绘制社会网络关系图进行文本分析,构建PMC指数模型量化分析老年健康相关政策。结果/结论“国家”“社会”“知识”“资源”“保障”等高频词在社会网络中与其他节点密切关联,是老年健康政策的重点领域,老年健康政策制定整体上态势积极。建议提高政策的精准性和适应性,明确政策时间节点与核心要素,增强政策功能和内容的策略分析。Purpose/Significance The paper discusses the construction of the current elderly health policy system by using policy text mining and quantitative evaluation,and provides references for future policy adjustment and optimization.Method/Process Policies on elderly health issued by the relative departments from 2019 to 2023 are analyzed.The ROST text data mining tool is used to extract high-frequency words and build semantic networks.Gephi is utilized to visualize social network relationships for text analysis.Quantitative analysis of these policies is conducted using the PMC index model.Results/Conclusion The high-frequency words such as“national”,“society”,“knowledge”,“resources”,and“guarantee”are identified as key areas in elderly health policies,which are interconnected within the social network.The overall trend of the elderly health policy formulation is positive.It is suggested to improve the accuracy and adaptability of the policy,clarify the time node and core elements of the policy,and enhance the strategic analysis of the function and content of the policy.

关 键 词：老年健康 政策评价 文本挖掘 政策一致性指数模型 

分 类 号：R-058[医药卫生]