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“健康中国 2030”背景下互联网医疗政策的主题识别与内容分析。

Topic identification and content analysis of internet medical policies under the background of Healthy China 2030.

机构信息

Management School of Beijing University of Chinese Medicine, Beijing, China.

National Institute of Chinese Medicine Development and Strategy, Beijing University of Chinese Medicine, Beijing, China.

出版信息

Health Res Policy Syst. 2024 Sep 30;22(1):132. doi: 10.1186/s12961-024-01226-3.

DOI:10.1186/s12961-024-01226-3
PMID:39350159
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11440693/
Abstract

OBJECTIVE

This study aims to analyse the content of internet medical policies, grasp the inherent laws of the development of internet medical policies and provide references for improving the policy system.

METHODS

On the basis of web crawler technology, 436 internet medical policies issued by the central and local governments after the Healthy China Strategy was proposed were collected. The BERTopic model was used to extract topics, and a comprehensive analysis of China's internet medical policy texts was conducted through the analysis of topic content, topic hierarchy and topic clusters.

RESULTS

A total of 27 topics were identified in China's internet medical policies, mainly focussing on five topic clusters: medical service regulation, elderly nursing and children's healthcare using traditional Chinese medicine, user safety guarantees, health education and communication and infectious disease treatment and recovery guidance.

CONCLUSIONS

Different topic contents play a role in promoting the comprehensive and standardized development of internet medical services. However, there is still room for further improvement in policy integrity, consideration of multiple types of users, and implementation effectiveness. Continuous efforts are needed to optimize the effectiveness of policies.

摘要

目的

本研究旨在分析互联网医疗政策的内容,把握互联网医疗政策发展的内在规律,为完善政策体系提供参考。

方法

在网络爬虫技术的基础上,收集了《健康中国 2030 规划纲要》提出以来中央和地方政府发布的 436 项互联网医疗政策。采用 BERTopic 模型提取主题,通过主题内容分析、主题层次分析和主题聚类分析,对我国互联网医疗政策文本进行综合分析。

结果

共识别出我国互联网医疗政策中的 27 个主题,主要集中在五个主题群:医疗服务监管、中医药老年护理和儿童保健、用户安全保障、健康教育和交流、传染病治疗和康复指导。

结论

不同的主题内容对促进互联网医疗服务的全面、规范发展发挥了作用,但政策完整性、多类型用户考虑和实施效果仍有提升空间,需要不断努力优化政策效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/8db59ba04c1a/12961_2024_1226_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/2670579e2fe0/12961_2024_1226_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/0ae1051d1176/12961_2024_1226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/93d405d68c4f/12961_2024_1226_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/42b6c57e01e6/12961_2024_1226_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/ab119bddd254/12961_2024_1226_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/00ee0bbf2403/12961_2024_1226_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/8db59ba04c1a/12961_2024_1226_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/2670579e2fe0/12961_2024_1226_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/fdc9fb185294/12961_2024_1226_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/0ae1051d1176/12961_2024_1226_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/93d405d68c4f/12961_2024_1226_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/42b6c57e01e6/12961_2024_1226_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/ab119bddd254/12961_2024_1226_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/00ee0bbf2403/12961_2024_1226_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdb0/11440693/8db59ba04c1a/12961_2024_1226_Fig8_HTML.jpg

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