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Predictors of Discharge Destination After Stroke
BACKGROUND: Determining the discharge destination after acute stroke care is important to prevent long-term disabilities and improve cost efficiency. OBJECTIVE: The aim of this study was to investigate where stroke patients are discharged to after acute treatment and to identify personal, social, st...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272622/ https://www.ncbi.nlm.nih.gov/pubmed/37039307 http://dx.doi.org/10.1177/15459683231166935 |
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author | Schrage, Theresa Thomalla, Götz Härter, Martin Lebherz, Lisa Appelbohm, Hannes Rimmele, David Leander Kriston, Levente |
author_facet | Schrage, Theresa Thomalla, Götz Härter, Martin Lebherz, Lisa Appelbohm, Hannes Rimmele, David Leander Kriston, Levente |
author_sort | Schrage, Theresa |
collection | PubMed |
description | BACKGROUND: Determining the discharge destination after acute stroke care is important to prevent long-term disabilities and improve cost efficiency. OBJECTIVE: The aim of this study was to investigate where stroke patients are discharged to after acute treatment and to identify personal, social, stroke-related, and clinical predictors of discharge destination. METHODS: The present study included a secondary exploratory analysis of a prospective observational study. Patients with acute ischemic stroke, transient ischemic attack, or intracerebral hemorrhage were recruited consecutively over a 15-month period. A hierarchical multinomial logistic regression was performed to identify predictors of the primary outcome of discharge destination. RESULTS: We included 1026 stroke patients (48.7% female) with a mean age of 73.3 years (standard deviation 12.9 years) in the analysis. Overall, 55% of the patients were discharged home, 33% to a rehabilitation center, 3% to a residential facility, and 8% to another acute care hospital. Predictors that statistically significantly influenced the odds of the discharge destination were age, living situation pre-stroke, living location pre-stroke, stroke type, stroke severity, treatment type, and length of stay. Higher stroke severity was associated with discharge to all four inpatient facilities. CONCLUSIONS: In line with previous research, predictors such as stroke severity and living situation pre-stroke significantly influenced the odds of the discharge destination. In contrast, pre-existing conditions and functional impairment pre-stroke had no significant impact on the primary outcome. This discrepancy could be due to a rather functional study sample before stroke and the use of clinical and patient-reported outcome measures. |
format | Online Article Text |
id | pubmed-10272622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-102726222023-06-17 Predictors of Discharge Destination After Stroke Schrage, Theresa Thomalla, Götz Härter, Martin Lebherz, Lisa Appelbohm, Hannes Rimmele, David Leander Kriston, Levente Neurorehabil Neural Repair Original Research Articles BACKGROUND: Determining the discharge destination after acute stroke care is important to prevent long-term disabilities and improve cost efficiency. OBJECTIVE: The aim of this study was to investigate where stroke patients are discharged to after acute treatment and to identify personal, social, stroke-related, and clinical predictors of discharge destination. METHODS: The present study included a secondary exploratory analysis of a prospective observational study. Patients with acute ischemic stroke, transient ischemic attack, or intracerebral hemorrhage were recruited consecutively over a 15-month period. A hierarchical multinomial logistic regression was performed to identify predictors of the primary outcome of discharge destination. RESULTS: We included 1026 stroke patients (48.7% female) with a mean age of 73.3 years (standard deviation 12.9 years) in the analysis. Overall, 55% of the patients were discharged home, 33% to a rehabilitation center, 3% to a residential facility, and 8% to another acute care hospital. Predictors that statistically significantly influenced the odds of the discharge destination were age, living situation pre-stroke, living location pre-stroke, stroke type, stroke severity, treatment type, and length of stay. Higher stroke severity was associated with discharge to all four inpatient facilities. CONCLUSIONS: In line with previous research, predictors such as stroke severity and living situation pre-stroke significantly influenced the odds of the discharge destination. In contrast, pre-existing conditions and functional impairment pre-stroke had no significant impact on the primary outcome. This discrepancy could be due to a rather functional study sample before stroke and the use of clinical and patient-reported outcome measures. SAGE Publications 2023-04-11 2023-05 /pmc/articles/PMC10272622/ /pubmed/37039307 http://dx.doi.org/10.1177/15459683231166935 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Research Articles Schrage, Theresa Thomalla, Götz Härter, Martin Lebherz, Lisa Appelbohm, Hannes Rimmele, David Leander Kriston, Levente Predictors of Discharge Destination After Stroke |
title | Predictors of Discharge Destination After Stroke |
title_full | Predictors of Discharge Destination After Stroke |
title_fullStr | Predictors of Discharge Destination After Stroke |
title_full_unstemmed | Predictors of Discharge Destination After Stroke |
title_short | Predictors of Discharge Destination After Stroke |
title_sort | predictors of discharge destination after stroke |
topic | Original Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272622/ https://www.ncbi.nlm.nih.gov/pubmed/37039307 http://dx.doi.org/10.1177/15459683231166935 |
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