Pina Jamie, Chester Kelley, Danoff Diana, Koyanagi Mark
RTI International, Center for Advancement in Health Information Technology.
Stud Health Technol Inform. 2013;192:1128.
Word frequency analysis has not been fully explored as an input to public health taxonomy development. We used document analysis, expert review, and user-centered design to develop a taxonomy of public health quality improvement concepts for an online exchange of quality improvement work (www.phqix.org). Online entries were made searchable using a faceted search approach. To present the most relevant facets to users, we analyzed 334 published public health quality improvement documents using word frequency analysis to identify the most prevalent clusters of word meanings. We reviewed the highest-weighted concepts and identified their relationships to quality improvement details in our taxonomy. The meanings were mapped to items in our taxonomy, and presented in order of their weighted percentages in the data. Using this combination of methods, we developed and sorted concepts in the faceted search presentation so that relevant search criteria were accessible to users of the online exchange. Word frequency analysis may be a useful method to incorporate in other taxonomy development and presentationwhen relevant data is available.
词频分析作为公共卫生分类法发展的一种输入方式尚未得到充分探索。我们运用文献分析、专家评审和以用户为中心的设计方法，为质量改进工作的在线交流（www.phqix.org）制定了一套公共卫生质量改进概念的分类法。通过分面搜索方法使在线条目可搜索。为了向用户呈现最相关的方面，我们使用词频分析对334篇已发表的公共卫生质量改进文献进行分析，以识别最普遍的词义集群。我们审查了权重最高的概念，并确定它们与我们分类法中质量改进细节的关系。这些含义被映射到我们分类法中的项目，并按照它们在数据中的加权百分比顺序呈现。通过这种方法的组合，我们在分面搜索展示中开发并分类了概念，以便在线交流的用户能够获取相关的搜索标准。当有相关数据可用时，词频分析可能是一种可纳入其他分类法开发和展示的有用方法。
