文章基本信息

标题：Can Linked Electronic Medical Record and Administrative Data Help Us Identify Those Living with Frailty?
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作者：Sabrina Wong ; Alan Katz ; Tyler Williamson 等
期刊名称：International Journal of Population Data Science
电子版ISSN：2399-4908
出版年度：2020
卷号：5
期号：1
页码：1-9
DOI：10.23889/ijpds.v5i1.1343
出版社：Swansea University
摘要：65 years, who had a record in both EMR and administrative data, 5%-8% (n=191 of 3,553, BC; n=2,396 of 29,382, MB) were identified as frail. There was a higher likelihood of being frail with increasing age and being a woman. In BC and MB, those identified as frail in both data sources have approximately twice the number of contacts with primary care (n=20 vs. n=10) and more days in hospital (n=7.2 vs. n=1.9 in BC; n=9.8 vs. n=2.8 in MB) compared to those who are not frail; 27% (BC) and 14% (MB) of those identified as frail in 2014 died in 2015. Conclusions/Implications. Identifying frailty using EMR data is particularly challenging since many functional deficits are not routinely recorded in structured data fields. Our results suggest frailty can be captured along a continuum using both EMR and administrative data.