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试验英格兰养老院老年人的最低数据集:一项发展性研究

Adam L Gordon^1,2, Stacey Rand³, Elizabeth Crellin⁴

¹Wolfson Institute of Population Health, Queen Mary University of London, London, UK.

|January 15, 2025

概括

为英格兰养老院开发了一种原型的最低数据集 (MDS),成功地将数字护理记录 (DCR) 与健康和社会护理数据联系起来. 这种整合提高了数据的完整性,解决了养老院数据共享的关键挑战.

科学领域:

老年学是一门学科.
医疗信息学医疗信息学
公共卫生公共卫生

背景情况:

为英格兰的养老院开发一个原型的最低数据集 (MDS).
评估从数字护理记录 (DCR) 中提取数据的可行性.
将DCR数据与更广泛的健康和社会护理数据集联系起来.

研究的目的:

为英国养老院创建一个可行的MDS原型.
评估数据提取和链接的可行性.
确定MDS实施的挑战和解决方案.

主要方法:

利益相关者研讨会,文献评论,调查和公众咨询为MDS的发展提供了信息.
从DCR和常规健康/社会护理数据集提取数据.
在DCR软件中添加经过验证的测量 (妄想,认知,功能,生活质量).
层次数据链接和比较以减少缺失.

主要成果:

从45个养老院招募了996名居民;727名居民的数据包括在MDS中.
额外的数据显示在第1波中缺失了35%的数据; DCR数据缺失归因于员工的时间, attrition 和软件问题.
数据链接和变量组合将总体缺失率降低到≤4%,如适用.

结论:

护理院DCR与法定数据集的成功,安全的链接创造了一个可行的MDS原型.
确定了数据质量,治理,多元性和完成未来MDS实施的关键问题.
数据整合和互操作性对于有效的健康和社会护理整合至关重要.

关键词:

护理家庭的护理家庭.数据链接数据链接数字护理记录是一个数字护理记录.最小的数据集是最小的数据集.老年人年长的人.定性研究是指质量研究.人们的生活质量.

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