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The predictive utility of functional status at discharge: a population-level cohort analysis
BACKGROUND: Functional status is a patient-important, patient-centered measurement. The utility of functional status measures to inform post-discharge patient needs is unknown. We sought to examine the utility of routinely collected functional status measures gathered from older hospitalized patient...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722185/ https://www.ncbi.nlm.nih.gov/pubmed/34979946 http://dx.doi.org/10.1186/s12877-021-02652-6 |
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author | Junek, Mats L. Jones, Aaron Heckman, George Demers, Catherine Griffith, Lauren E. Costa, Andrew P. |
author_facet | Junek, Mats L. Jones, Aaron Heckman, George Demers, Catherine Griffith, Lauren E. Costa, Andrew P. |
author_sort | Junek, Mats L. |
collection | PubMed |
description | BACKGROUND: Functional status is a patient-important, patient-centered measurement. The utility of functional status measures to inform post-discharge patient needs is unknown. We sought to examine the utility of routinely collected functional status measures gathered from older hospitalized patients to predict a panel of post-discharge outcomes. METHODS: In this population-based retrospective cohort study, Adults 65+ discharged from an acute hospitalization between 4 November 2008 and 18 March 2016 in Ontario, Canada and received an assessment of functional status at discharge using the Health Outcomes for Better Information and Care tool were included. Multivariable regression analysis was used to determine the relationship between functional status and emergency department (ED) re-presentation, hospital readmission, long term care facility (LTCF) admission or wait listing (‘LTCF readiness’), and death at 180 days from discharge. RESULTS: A total of 80 020 discharges were included. 38 928 (48.6%) re-presented to the ED, 24 222 (30.3%) were re-admitted, 5 037 (6.3%) were LTCF ready, and 9 047 (11.3%) died at 180 days. Beyond age, diminished functional status at discharge was the factor most associated with LTCF readiness (adjusted Odds Ratio [OR] 4.11 for those who are completely dependent for activities of daily living compared to those who are independent; 95% Confidence Interval [CI]: 3.70-4.57) and death (OR 3.99; 95% CI: 3.67-4.35). Functional status also had a graded relationship with each outcome and improved the discriminability of the models predicting death and LTCF readiness (p<0.01) but not ED re-presentation or hospital re-admission. CONCLUSION: Routinely collected functional status at discharge meaningfully improves the prediction of long term care home readiness and death. The routine assessment of functional status can inform post-discharge care and planning for older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02652-6. |
format | Online Article Text |
id | pubmed-8722185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87221852022-01-06 The predictive utility of functional status at discharge: a population-level cohort analysis Junek, Mats L. Jones, Aaron Heckman, George Demers, Catherine Griffith, Lauren E. Costa, Andrew P. BMC Geriatr Research BACKGROUND: Functional status is a patient-important, patient-centered measurement. The utility of functional status measures to inform post-discharge patient needs is unknown. We sought to examine the utility of routinely collected functional status measures gathered from older hospitalized patients to predict a panel of post-discharge outcomes. METHODS: In this population-based retrospective cohort study, Adults 65+ discharged from an acute hospitalization between 4 November 2008 and 18 March 2016 in Ontario, Canada and received an assessment of functional status at discharge using the Health Outcomes for Better Information and Care tool were included. Multivariable regression analysis was used to determine the relationship between functional status and emergency department (ED) re-presentation, hospital readmission, long term care facility (LTCF) admission or wait listing (‘LTCF readiness’), and death at 180 days from discharge. RESULTS: A total of 80 020 discharges were included. 38 928 (48.6%) re-presented to the ED, 24 222 (30.3%) were re-admitted, 5 037 (6.3%) were LTCF ready, and 9 047 (11.3%) died at 180 days. Beyond age, diminished functional status at discharge was the factor most associated with LTCF readiness (adjusted Odds Ratio [OR] 4.11 for those who are completely dependent for activities of daily living compared to those who are independent; 95% Confidence Interval [CI]: 3.70-4.57) and death (OR 3.99; 95% CI: 3.67-4.35). Functional status also had a graded relationship with each outcome and improved the discriminability of the models predicting death and LTCF readiness (p<0.01) but not ED re-presentation or hospital re-admission. CONCLUSION: Routinely collected functional status at discharge meaningfully improves the prediction of long term care home readiness and death. The routine assessment of functional status can inform post-discharge care and planning for older adults. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12877-021-02652-6. BioMed Central 2022-01-03 /pmc/articles/PMC8722185/ /pubmed/34979946 http://dx.doi.org/10.1186/s12877-021-02652-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Junek, Mats L. Jones, Aaron Heckman, George Demers, Catherine Griffith, Lauren E. Costa, Andrew P. The predictive utility of functional status at discharge: a population-level cohort analysis |
title | The predictive utility of functional status at discharge: a population-level cohort analysis |
title_full | The predictive utility of functional status at discharge: a population-level cohort analysis |
title_fullStr | The predictive utility of functional status at discharge: a population-level cohort analysis |
title_full_unstemmed | The predictive utility of functional status at discharge: a population-level cohort analysis |
title_short | The predictive utility of functional status at discharge: a population-level cohort analysis |
title_sort | predictive utility of functional status at discharge: a population-level cohort analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8722185/ https://www.ncbi.nlm.nih.gov/pubmed/34979946 http://dx.doi.org/10.1186/s12877-021-02652-6 |
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