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

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 adminis...

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Autores principales: Amuah, Joseph Emmanuel, Molodianovitsh, Katy, Carbone, Sarah, Diestelkamp, Naomi, Guo, Yanling, Hogan, David B., Li, Mingyang, Maxwell, Colleen J., Muscedere, John, Rockwood, Kenneth, Sinha, Samir, Theou, Olga, Karmakar-Hore, Sunita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: CMA Impact Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042454/
https://www.ncbi.nlm.nih.gov/pubmed/36972914
http://dx.doi.org/10.1503/cmaj.220926
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author Amuah, Joseph Emmanuel
Molodianovitsh, Katy
Carbone, Sarah
Diestelkamp, Naomi
Guo, Yanling
Hogan, David B.
Li, Mingyang
Maxwell, Colleen J.
Muscedere, John
Rockwood, Kenneth
Sinha, Samir
Theou, Olga
Karmakar-Hore, Sunita
author_facet Amuah, Joseph Emmanuel
Molodianovitsh, Katy
Carbone, Sarah
Diestelkamp, Naomi
Guo, Yanling
Hogan, David B.
Li, Mingyang
Maxwell, Colleen J.
Muscedere, John
Rockwood, Kenneth
Sinha, Samir
Theou, Olga
Karmakar-Hore, Sunita
author_sort Amuah, Joseph Emmanuel
collection PubMed
description 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.
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spelling pubmed-100424542023-03-28 Development and validation of a hospital frailty risk measure using Canadian clinical administrative data Amuah, Joseph Emmanuel Molodianovitsh, Katy Carbone, Sarah Diestelkamp, Naomi Guo, Yanling Hogan, David B. Li, Mingyang Maxwell, Colleen J. Muscedere, John Rockwood, Kenneth Sinha, Samir Theou, Olga Karmakar-Hore, Sunita CMAJ Research 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. CMA Impact Inc. 2023-03-27 2023-03-27 /pmc/articles/PMC10042454/ /pubmed/36972914 http://dx.doi.org/10.1503/cmaj.220926 Text en © 2023 CMA Impact Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Research
Amuah, Joseph Emmanuel
Molodianovitsh, Katy
Carbone, Sarah
Diestelkamp, Naomi
Guo, Yanling
Hogan, David B.
Li, Mingyang
Maxwell, Colleen J.
Muscedere, John
Rockwood, Kenneth
Sinha, Samir
Theou, Olga
Karmakar-Hore, Sunita
Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
title Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
title_full Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
title_fullStr Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
title_full_unstemmed Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
title_short Development and validation of a hospital frailty risk measure using Canadian clinical administrative data
title_sort development and validation of a hospital frailty risk measure using canadian clinical administrative data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10042454/
https://www.ncbi.nlm.nih.gov/pubmed/36972914
http://dx.doi.org/10.1503/cmaj.220926
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