Venzon Aldreen, Le Thuy Bich, Kim Katherine
Author Affiliations: Betty Irene Moore School of Nursing, Vallejo, CA.
Comput Inform Nurs. 2019 Feb;37(2):90-98. doi: 10.1097/CIN.0000000000000481.
This systematic review explored the current state of social determinants of health data in electronic systems in the literature, specifically (1) how the data are currently collected, captured, and coded; (2) the modes employed to capture these data; and (3) the electronic systems used to acquire data. This assessment serves as a precursor to an actual survey of healthcare organizations, which will be a national-level effort for evaluating a real-time collection of social health data. By evaluating published information on electronic social determinants of health, we get baseline evidence on the state of these data in the literature as used by nurses, physicians, administrators, researchers, and educators. Two reviewers systematically evaluated articles on social determinants of health and electronic systems. Five data elements were abstracted and analyzed, including the type of social determinants of health data, data capture method, data structure, data standard, and source of data. Forty-two articles were included in the final review. The most common social health data domains were neighborhood and community compositional characteristics. Social health data were rarely found in electronic health records. When these data were captured, they were often manually captured in a structured format.
本系统评价探讨了文献中电子系统里健康数据的社会决定因素的现状，具体包括：（1）这些数据目前是如何收集、获取和编码的；（2）用于获取这些数据的方式；以及（3）用于采集数据的电子系统。该评估是对医疗保健组织进行实际调查的前奏，这将是一项国家级的工作，旨在评估社会健康数据的实时收集情况。通过评估已发表的关于健康的电子社会决定因素的信息，我们获得了护士、医生、管理人员、研究人员和教育工作者在文献中使用的这些数据状况的基线证据。两名评审员系统地评估了关于健康的社会决定因素和电子系统的文章。提取并分析了五个数据元素，包括健康数据的社会决定因素类型、数据获取方法、数据结构、数据标准和数据来源。最终综述纳入了42篇文章。最常见的社会健康数据领域是邻里和社区构成特征。社会健康数据在电子健康记录中很少见。当这些数据被获取时，它们通常以结构化格式手动获取。
