• Joseph Emmanuel Amuah, Katy Molodianovitsh, Sarah Carbone, Naomi Diestelkamp, Yanling Guo, David B Hogan, Mingyang Li, Colleen J Maxwell, John Muscedere, Kenneth Rockwood, Samir Sinha, Olga Theou, and Sunita Karmakar-Hore.
• Canadian Institute for Health Information (Amuah, Molodianovitsh, Carbone, Diestelkamp, Guo, Li, Karmakar-Hore); School of Epidemiology and Public Health (Amuah), University of Ottawa, Ottawa, Ont.; Institute of Health Policy, Management and Evaluation (Carbone), University of Toronto, Toronto, Ont.; School of Public Health Sciences (Guo, Maxwell), University of Waterloo, Waterloo, Ont.; Division of Geriatric Medicine (Hogan), Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alta.; School of Pharmacy (Maxwell), University of Waterloo, Waterloo, Ont.; Department of Critical Care Medicine (Muscedere), Queen's University; Canadian Frailty Network (Muscedere), Kingston, Ont.; Division of Geriatric Medicine, Department of Medicine (Rockwood), Dalhousie University, Halifax, NS; Division of Geriatric Medicine (Sinha), Department of Medicine, University of Toronto; National Institute on Ageing (Sinha), Ryerson University, Toronto, Ont.; School of Physiotherapy and Division of Geriatric Medicine (Theou), Dalhousie University, Halifax, NS.
• CMAJ. 2023 Mar 27; 195 (12): E437E448E437-E448.

BackgroundAccessible 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).MethodsUsing 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.ResultsThe 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.InterpretationThe 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.© 2023 CMA Impact Inc. or its licensors.

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