Observational studyNeurorehabilitation and neural repair2023
Predictors of Discharge Destination After Stroke.
Observational study in Neurorehabilitation and neural repair, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Early clinical indicators for predicting discharge destination from the acute stroke ward: A retrospective observational study.Medicine · 2026Observational
- Association between educational attainment and discharge disposition following incident stroke hospitalization: the Atherosclerosis Risk in Communities study.Frontiers in stroke · 2026Article
- An explainable artificial intelligence framework for clinical decision support in stroke discharge planning.PloS one · 2026Article
- NIH Stroke Scale and age predict early post-stroke cognitive impairment.Frontiers in stroke · 2026Article
- Article
- Identifying determinants of readmission and death post-stroke using explainable machine learning.PloS one · 2025Observational
- Association of Stroke Impairment Assessment Set and Dysphagia in the 1st Week after Acute Ischemic Stroke with Early Discharge to Home Following Endovascular Therapy: A Retrospective Observational Study.Physical therapy research · 2025Article
- Identifying characteristics of stroke patients benefiting from interprofessional collaboration.The British journal of occupational therapy · 2024Article
- Impact of Interprofessional Collaborative Practice on Functional Improvements Among Post-Acute Stroke Survivors: A Retrospective Cross-Sectional Study.Journal of multidisciplinary healthcare · 2024Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDetermining the discharge destination after acute stroke care is important to prevent long-term disabilities and improve cost efficiency.
objectiveThe 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.
methodsThe 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.
resultsWe 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.
conclusionsIn 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.
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