%0期刊文章%@ 1438-8871 %I JMIR出版物%V 19%卡塔尔世界杯8强波胆分析 N 9% P e292% T用户知道怎么称呼它:通过用户贡献标签在健康管理参与式平台上整合患者声音% a Chen,Annie T % a Carriere,Rachel M % a Kaplan,Samantha Jan +华盛顿大学医学院生物医学信息学和医学教育系,美国华盛顿州西雅图市,98109,共和街850号,信箱358047,C238, 1 206 221 9218,atchen@uw.edu %K协同标记%K大众分类%K知识组织%K自我管理%K身体倾听%K身体意识%D 2017 %7 07.09.2017 %9原创论文%J J医学互联网Res %G英语%X背景:身体倾听,被描述为关注身体信号和线索的行为,可以是长期健康管理的重要组成部分。目的:本研究的目的是介绍和评估身体倾听项目,这是一项创新的努力,旨在让公众参与公共资源的创建,以发挥健康领域的集体智慧。这个项目包括一个网站,人们可以在那里分享他们关于身体倾听和自我管理的经验,并与他人对话。本文对所贡献的标签进行了分析,重点是这些标签在知识组织和纳入对消费者友好的健康信息检索系统方面的价值。方法:首先,我们对所贡献的标签进行内容分析,确定了一组类别,并细化了类别的关系结构,形成了初步的分类方案——身体倾听和自我管理分类法。其次,我们将“身体倾听和自我管理分类法”中的概念与从现有健康知识资源“统一医学语言系统”(UMLS)中自动识别的概念进行了比较,以更好地表征参与者贡献的信息。第三,运用可视化技术探索标签的概念空间。基于分类倾向于分配到相同标签的程度的相关矩阵被用于研究分类学类别的相互相关性。 Then a network visualization was used to investigate structural relationships among the categories in the taxonomy. Results: First, we proposed a taxonomy called the Body Listening and Self-Management Taxonomy, with four meta-level categories: (1) health management strategies, (2) concepts and states, (3) influencers, and (4) health-related information behavior. This taxonomy could inform future efforts to organize knowledge and content of this subject matter. Second, we compared the categories from this taxonomy with the UMLS concepts that were identified. Though the UMLS offers benefits such as speed and breadth of coverage, the Body Listening and Self-Management Taxonomy is more consumer-centric. Third, the correlation matrix and network visualization demonstrated that there are natural areas of ambiguity and semantic relatedness in the meanings of the concepts in the Body Listening and Self-Management Taxonomy. Use of these visualizations can be helpful in practice settings, to help library and information science practitioners understand and resolve potential challenges in classification; in research, to characterize the structure of the conceptual space of health management; and in the development of consumer-centric health information retrieval systems. Conclusions: A participatory platform can be employed to collect data concerning patient experiences of health management, which can in turn be used to develop new health knowledge resources or augment existing ones, as well as be incorporated into consumer-centric health information systems. %M 28882809 %R 10.2196/jmir.7673 %U //www.mybigtv.com/2017/9/e292/ %U https://doi.org/10.2196/jmir.7673 %U http://www.ncbi.nlm.nih.gov/pubmed/28882809
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