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Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities
The aim of this study was to examine predictors of discharge of hospitalized stroke patients to either an acute inpatient rehabilitation facility (IRF) or subacute skilled nursing facility (SNF). A retrospective cohort study was done in a large multicampus urban academic medical center of individual...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709303/ https://www.ncbi.nlm.nih.gov/pubmed/31145364 http://dx.doi.org/10.1097/MD.0000000000015934 |
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author | Rakesh, Neal Boiarsky, Daniel Athar, Ammar Hinds, Shaliesha Stein, Joel |
author_facet | Rakesh, Neal Boiarsky, Daniel Athar, Ammar Hinds, Shaliesha Stein, Joel |
author_sort | Rakesh, Neal |
collection | PubMed |
description | The aim of this study was to examine predictors of discharge of hospitalized stroke patients to either an acute inpatient rehabilitation facility (IRF) or subacute skilled nursing facility (SNF). A retrospective cohort study was done in a large multicampus urban academic medical center of individuals hospitalized for stroke between January 1, 2015 and December 31, 2015 and who were discharged to either an IRF (n = 84) or SNF (n = 59). A set of characteristics and scales were collected on each patient and assessed using univariate and multivariate regression analyses. Although univariate analyses revealed multiple measures were associated with discharge destination, the most predictive multivariate logistic regression model for discharge to SNF incorporated age (odds ratio [OR] = 1.09, 95% confidence interval [CI], 1.05–1.13), premorbid physical disability (OR 7.52, 95% CI 1.66–34.14), and inability to ambulate before discharge (OR 5.84, 95% CI 2.01–16.92) with an overall c-statistic of 0.85. Increasing age, premorbid physical disability, and inability to ambulate increase the overall likelihood of discharge to a SNF. These findings need to be replicated in larger samples to determine whether they are generalizable. |
format | Online Article Text |
id | pubmed-6709303 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-67093032019-10-01 Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities Rakesh, Neal Boiarsky, Daniel Athar, Ammar Hinds, Shaliesha Stein, Joel Medicine (Baltimore) Research Article The aim of this study was to examine predictors of discharge of hospitalized stroke patients to either an acute inpatient rehabilitation facility (IRF) or subacute skilled nursing facility (SNF). A retrospective cohort study was done in a large multicampus urban academic medical center of individuals hospitalized for stroke between January 1, 2015 and December 31, 2015 and who were discharged to either an IRF (n = 84) or SNF (n = 59). A set of characteristics and scales were collected on each patient and assessed using univariate and multivariate regression analyses. Although univariate analyses revealed multiple measures were associated with discharge destination, the most predictive multivariate logistic regression model for discharge to SNF incorporated age (odds ratio [OR] = 1.09, 95% confidence interval [CI], 1.05–1.13), premorbid physical disability (OR 7.52, 95% CI 1.66–34.14), and inability to ambulate before discharge (OR 5.84, 95% CI 2.01–16.92) with an overall c-statistic of 0.85. Increasing age, premorbid physical disability, and inability to ambulate increase the overall likelihood of discharge to a SNF. These findings need to be replicated in larger samples to determine whether they are generalizable. Wolters Kluwer Health 2019-05-31 /pmc/articles/PMC6709303/ /pubmed/31145364 http://dx.doi.org/10.1097/MD.0000000000015934 Text en Copyright © 2019 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0 |
spellingShingle | Research Article Rakesh, Neal Boiarsky, Daniel Athar, Ammar Hinds, Shaliesha Stein, Joel Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities |
title | Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities |
title_full | Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities |
title_fullStr | Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities |
title_full_unstemmed | Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities |
title_short | Post-stroke rehabilitation: Factors predicting discharge to acute versus subacute rehabilitation facilities |
title_sort | post-stroke rehabilitation: factors predicting discharge to acute versus subacute rehabilitation facilities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6709303/ https://www.ncbi.nlm.nih.gov/pubmed/31145364 http://dx.doi.org/10.1097/MD.0000000000015934 |
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