Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Schrage, Theresa, Thomalla, Götz, Härter, Martin, Lebherz, Lisa, Appelbohm, Hannes, Rimmele, David Leander, Kriston, Levente
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
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
_version_ 1785059538838224896
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
work_keys_str_mv AT schragetheresa predictorsofdischargedestinationafterstroke
AT thomallagotz predictorsofdischargedestinationafterstroke
AT hartermartin predictorsofdischargedestinationafterstroke
AT lebherzlisa predictorsofdischargedestinationafterstroke
AT appelbohmhannes predictorsofdischargedestinationafterstroke
AT rimmeledavidleander predictorsofdischargedestinationafterstroke
AT kristonlevente predictorsofdischargedestinationafterstroke