Poststroke disposition and associated factors in a population-based study: the Dijon Stroke Registry.
Details
Request a copy Under indefinite embargo.
UNIL restricted access
State: Public
Version: author
License: Not specified
UNIL restricted access
State: Public
Version: author
License: Not specified
Serval ID
serval:BIB_B106EC727B14
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Poststroke disposition and associated factors in a population-based study: the Dijon Stroke Registry.
Journal
Stroke
ISSN
1524-4628 (Electronic)
ISSN-L
0039-2499
Publication state
Published
Issued date
2012
Volume
43
Number
8
Pages
2071-2077
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Abstract
BACKGROUND AND PURPOSE: The organization of poststroke care will be a major challenge in coming years. We aimed to assess hospital disposition after stroke and its associated factors in clinical practice.
METHODS: All cases of stroke from 2006 to 2010 were identified from the population-based Stroke Registry of Dijon, France. Demographic features, risk factors, and prestroke treatments were recorded. Admission stroke severity was assessed using the National Institutes of Health Stroke Scale score. At discharge, we collected dementia, disability using the modified Rankin Scale, length of stay, and hospital disposition (home, rehabilitation, convalescent home, and nursing home). Multivariate analyses were performed using logistic regression models to identify associated factors of postdischarge disposition.
RESULTS: Of the patients with 1069 stroke included, 913 survived acute care. Among them, 433 (47.4%) returned home, whereas 206 (22.6%) were discharged to rehabilitation, 134 (14.7%) were admitted to a convalescent home, and 140 (15.3%) to a nursing home. Old patients, those under anticoagulants before stroke, those with severe stroke on admission, severe disability at discharge, dementia, or prolonged length of stay were less likely to return home. Moreover, advanced age, severe initial stroke, severe disability at discharge, and dementia were associated with admission to convalescent and nursing homes rather than rehabilitation centers.
CONCLUSION: This population-based study demonstrated that postdischarge destinations are associated with several factors. Our findings may be useful to establish health policy concerning the organization of poststroke care.
METHODS: All cases of stroke from 2006 to 2010 were identified from the population-based Stroke Registry of Dijon, France. Demographic features, risk factors, and prestroke treatments were recorded. Admission stroke severity was assessed using the National Institutes of Health Stroke Scale score. At discharge, we collected dementia, disability using the modified Rankin Scale, length of stay, and hospital disposition (home, rehabilitation, convalescent home, and nursing home). Multivariate analyses were performed using logistic regression models to identify associated factors of postdischarge disposition.
RESULTS: Of the patients with 1069 stroke included, 913 survived acute care. Among them, 433 (47.4%) returned home, whereas 206 (22.6%) were discharged to rehabilitation, 134 (14.7%) were admitted to a convalescent home, and 140 (15.3%) to a nursing home. Old patients, those under anticoagulants before stroke, those with severe stroke on admission, severe disability at discharge, dementia, or prolonged length of stay were less likely to return home. Moreover, advanced age, severe initial stroke, severe disability at discharge, and dementia were associated with admission to convalescent and nursing homes rather than rehabilitation centers.
CONCLUSION: This population-based study demonstrated that postdischarge destinations are associated with several factors. Our findings may be useful to establish health policy concerning the organization of poststroke care.
Keywords
Age Factors, Aged, Aged, 80 and over, Anticoagulants/therapeutic use, Aphasia/etiology, Female, France/epidemiology, Hospitalization, Humans, Logistic Models, Male, Middle Aged, Muscle Weakness/etiology, Patient Discharge, Population, Prospective Studies, Recovery of Function, Risk Factors, Stroke/classification, Stroke/epidemiology, Treatment Outcome
Pubmed
Web of science
Create date
19/01/2016 13:13
Last modification date
05/05/2020 17:24