University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Soc Work Public Health. 2012;27(5):409-23. doi: 10.1080/19371910903182823.
Using Non-numerical Unstructured Data Indexing Searching and Theorizing (NUD'IST) software to extract and examine keywords from text, the authors explored the phenomenon of nursing home closure through an analysis of 30 major-market newspapers over a period of 66 months (January 1, 1999 to June 1, 2005). Newspaper articles typically represent a careful analysis of staff impressions via interviews, managerial perspectives, and financial records review. There is a current reliance on the synthesis of information from large regulatory databases such as the Online Survey Certification And Reporting database, the California Office of Statewide Healthcare Planning and Development database, and Area Resource Files. Although such databases permit the construction of studies capable of revealing some reasons for nursing home closure, they are hampered by the confines of the data entered. Using our analysis of newspaper articles, the authors are able to add further to their understanding of nursing home closures.
使用非数值非结构化数据索引搜索和理论化（NUD'IST）软件从文本中提取和检查关键词，作者通过对 30 种主要市场报纸进行为期 66 个月（1999 年 1 月 1 日至 2005 年 6 月 1 日）的分析，探讨了养老院关闭的现象。报纸文章通常代表了对工作人员印象的仔细分析，通过访谈、管理视角和财务记录审查。目前依赖于从大型监管数据库（如在线调查认证和报告数据库、加利福尼亚州全州医疗保健规划和发展数据库以及区域资源文件）中综合信息。尽管这些数据库允许构建能够揭示养老院关闭原因的研究，但它们受到输入数据的限制。通过对报纸文章的分析，作者能够进一步加深对养老院关闭的理解。
