Development and validation of a hospital frailty risk measure using Canadian clinical administrative data

被引:4
|
作者
Amuah, Joseph Emmanuel [1 ,2 ]
Molodianovitsh, Katy [1 ]
Carbone, Sarah [1 ,3 ]
Diestelkamp, Naomi [1 ]
Guo, Yanling [1 ,4 ]
Hogan, David B. [5 ]
Li, Mingyang [1 ]
Maxwell, Colleen J. [4 ,6 ]
Muscedere, John [7 ,8 ]
Rockwood, Kenneth [9 ]
Sinha, Samir [10 ,11 ]
Theou, Olga [12 ,13 ]
Karmakar-Hore, Sunita [1 ]
机构
[1] Univ Ottawa, Canadian Inst Hlth Informat, Ottawa, ON, Canada
[2] Univ Ottawa, Sch Epidemiol & Publ Hlth, Ottawa, ON, Canada
[3] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[4] Univ Waterloo, Sch Publ Hlth Sci, Waterloo, ON, Canada
[5] Univ Calgary, Cumming Sch Med, Dept Med, Div Geriatr Med, Calgary, AB, Canada
[6] Univ Waterloo, Sch Pharm, Waterloo, ON, Canada
[7] Queens Univ, Dept Crit Care Med, Kingston, ON, Canada
[8] Canadian Frailty Network, Kingston, ON, Canada
[9] Dalhousie Univ, Dept Med, Div Geriatr Med, Halifax, NS, Canada
[10] Univ Toronto, Dept Med, Div Geriatr Med, Toronto, ON, Canada
[11] Ryerson Univ, Natl Inst Ageing, Toronto, ON, Canada
[12] Dalhousie Univ, Sch Physiotherapy, Halifax, NS, Canada
[13] Dalhousie Univ, Div Geriatr Med, Halifax, NS, Canada
基金
加拿大健康研究院;
关键词
OLDER-ADULTS; COMPETING RISK; INDEX; SCORE; CARE; RECOMMENDATIONS; COMORBIDITY; PREVALENCE; FITNESS;
D O I
10.1503/cmaj.220926
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background:Accessible measures specific to the Canadian context are needed to support health system planning for older adults living with frailty. We sought to develop and validate the Canadian Institute for Health Information (CIHI) Hospital Frailty Risk Measure (HFRM). Methods:Using CIHI administrative data, we conducted a retrospective cohort study involving patients aged 65 years and older who were discharged from Canadian hospitals from Apr. 1, 2018, to Mar. 31, 2019. We used a 2-phase approach to develop and validate the CIHI HFRM. The first phase, construction of the measure, was based on the deficit accumulation approach (identification of age-related conditions using a 2-year look-back). The second phase involved refinement into 3 formats (continuous risk score, 8 risk groups and binary risk measure), with assessment of their predictive validity for several frailty-related adverse outcomes using data to 2019/20. We assessed convergent validity with the United Kingdom Hospital Frailty Risk Score. Results:The cohort consisted of 788 701 patients. The CIHI HFRM included 36 deficit categories and 595 diagnosis codes that cover morbidity, function, sensory loss, cognition and mood. The median continuous risk score was 0.111 (interquartile range 0.056-0.194, equivalent to 2-7 deficits); 35.1% (n = 277 000) of the cohort were found at risk of frailty (>= 6 deficits). The CIHI HFRM showed satisfactory predictive validity and reasonable goodness-of-fit. For the continuous risk score format (unit = 0.1), the hazard ratio (HR) for 1-year risk of death was 1.39 (95% confidence interval [CI] 1.38-1.41), with a C-statistic of 0.717 (95% CI 0.715-0.720); the odds ratio for high users of hospital beds was 1.85 (95% CI 1.82-1.88), with a C-statistic of 0.709 (95% CI 0.704-0.714), and the HR of 90-day admission to long-term care was 1.91 (95% CI 1.88-1.93), with a C-statistic of 0.810 (95% CI 0.808-0.813). Compared with the continuous risk score, using a format of 8 risk groups had similar discriminatory ability and the binary risk measure had slightly weaker performance. Interpretation:The CIHI HFRM is a valid tool showing good discriminatory power for several adverse outcomes. The tool can be used by decision-makers and researchers by providing information on hospital-level prevalence of frailty to support system-level capacity planning for Canada's aging population.
引用
收藏
页码:E437 / E448
页数:12
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