Urquhart Robin, Giguere Anik M C, Lawson Beverley, Kendell Cynthia, Holroyd-Leduc Jayna M, Puyat Joseph H, Kazanjian Arminee, Straus Sharon, Johnston Grace M
Department of Surgery,Dalhousie University.
Office of Education and Continuing Professional Development,Department of Family and Emergency Medicine,Pavillon Ferdinand-Vandry,Laval University.
Can J Aging. 2017 Dec;36(4):514-521. doi: 10.1017/S0714980817000393. Epub 2017 Oct 4.
This study sought to develop frailty "identification rules" using population-based health administrative data that can be readily applied across jurisdictions for living and deceased persons. Three frailty identification rules were developed based on accepted definitions of frailty, markers of service utilization, and expert consultation, and were limited to variables within two common population-based administrative health databases: hospital discharge abstracts and physician claims data. These rules were used to identify persons with frailty from both decedent and living populations across five Canadian provinces. Participants included persons who had died and were aged 66 years or older at the time of death (British Columbia, Alberta, Ontario, Quebec, and Nova Scotia) and living persons 65 years or older (British Columbia, Alberta, Ontario, and Quebec). Descriptive statistics were computed for persons identified using each rule. The proportion of persons identified as frail ranged from 58.2-78.1 per cent (decedents) and 5.1-14.7 per cent (living persons).
本研究旨在利用基于人群的健康管理数据制定虚弱“识别规则”,这些数据可在不同司法管辖区方便地应用于在世者和逝者。基于公认的虚弱定义、服务利用指标和专家咨询,制定了三条虚弱识别规则,且仅限于两个常见的基于人群的行政健康数据库中的变量:医院出院摘要和医生索赔数据。这些规则用于识别加拿大五个省份逝者和在世人群中的虚弱者。参与者包括已死亡且死亡时年龄在66岁及以上的人(不列颠哥伦比亚省、艾伯塔省、安大略省、魁北克省和新斯科舍省)以及65岁及以上的在世者(不列颠哥伦比亚省、艾伯塔省、安大略省和魁北克省)。对使用每条规则识别出的人员进行了描述性统计。被认定为虚弱的人员比例在58.2%至78.1%(逝者)和5.1%至14.7%(在世者)之间。