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基于主题结构的健康信息质量研究综述

A Review of Health Information Quality Research Based on Thematic Structure
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摘要 文章使用主题词共现网络分析与内容分析法,借助软件工具对主题词共现网络进行聚类分析与主题分析;基于定量分析结果,进一步归纳和分析相关文献,旨在对健康信息质量研究进行回顾,梳理相关研究的主题结构及内容特征,并展望未来的研究。研究发现,健康信息质量研究主要集中在健康信息内容质量、健康信息网站及系统质量、用户健康信息素养及质量甄别及网络健康信息质量评价影响因素4个方面。未来研究的方向是建立网络虚假信息自动过滤机制,提升网络健康信息质量;设计差异化的健康信息甄别能力提升机制,提升用户健康信息甄别能力,进而提升用户健康信息素养,助力于“健康中国2030”等国家战略的实施。 In the study, the co-occurrence network analysis and content induction analysis of keywords are mainly used.Cluster analysis and theme analysis of the co-occurrence network of keywords are carried out with the help of software tools. Based on the results of quantitative analysis, the collected literature is further analyzed and summarized in depth.The study aims to review the research on the quality of health information, sort out the distribution structure of related research and content character, tries to put forward relevant suggestions for future development. It is found that the research of health information quality mainly focused on the current situation of health information content quality, health information website and system quality, health information literacy and screening, and influencing factors of Internet health information quality evaluation. This paper points out the direction of future research is to establish the automatic filtering mechanism of false information on the Internet and to improve the quality of online health information. The differentiated health information screening ability promotion mechanism is designed to enhance users’ health information screening ability, and then improve users’ health information literacy, contributing to the implementation of national strategies such as "Healthy China 2030".
作者 张秀 李月琳 章小童 Zhang Xiu;Li Yuelin;Zhang Xiaotong
出处 《图书与情报》 CSSCI 北大核心 2022年第2期57-68,共12页 Library & Information
基金 天津市哲学社会科学规划课题“KAP理论视角下网络用户健康信息甄别能力提升路径研究”(项目编号:TJTQ20-002)研究成果之一。
关键词 健康信息 信息质量 聚类分析 可视化分析 归纳分析 health information information quality cluster analysis visual analysis inductive analysis
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