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Length of Stay and Home Discharge for Patients with Inpatient Stroke Rehabilitation.

Authors :
Tran DT
Yan C
Dukelow SP
Round J
Source :
The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques [Can J Neurol Sci] 2023 Jan; Vol. 50 (1), pp. 28-36. Date of Electronic Publication: 2021 Oct 20.
Publication Year :
2023

Abstract

Objective: To examine temporal trends and geographic variations and predict inpatient rehabilitation (IPR) length of stay (LOS) and home discharge for stroke patients.<br />Methods: Patients aged ≥18 years who were admitted to an IPR facility in Alberta, Canada, between 04/2014 and 03/2018 (years 2014-2017) were included. Predictors of LOS and home discharge were examined using 2014-2016 data and validated using 2017 data. Multivariable linear regression (MLR), multivariable negative binomial (MNB), and multivariable quantile regressions (MQR) were used to examine LOS, and logistic regression was used for home discharge.<br />Results: We included 2686 rehabilitation admissions between 2014 and 2017. The mean LOS decreased (2014: 71 days; 2017: 62.1 days; p = 0.003) during the study period and was shortest in Edmonton (59.1 days) compared to Calgary (66 days) or other localities (70.8 days; p < 0.001). Three-quarters of patients were discharged home and this proportion remained unchanged between 2014 and 2017. Calgary patients were more likely to be discharged home than those in Edmonton (OR = 0.62; p = 0.019) or other localities (OR = 0.39; p = 0.011). The MLR and MNB models provided accurate prediction for the mean LOS (predicted = 59.9 and 60.8 days, respectively, vs. actual = 62.1 days; both p > 0.5), while the MQR model did so for the median LOS (predicted = 44.3 days vs. actual = 44 days; p = 0.09). The logistic regression resulted in 82.4% of correct prediction, a sensitivity of 91.6%, and a specificity of 50.7% for home discharge.<br />Conclusions: Rehabilitation LOS decreased while the proportion of home discharge remained unchanged during the study period. Both varied across health zones. Identifiable statistical models provided accurate prediction with a separate patient cohort.

Details

Language :
English
ISSN :
0317-1671
Volume :
50
Issue :
1
Database :
MEDLINE
Journal :
The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques
Publication Type :
Academic Journal
Accession number :
34666861
Full Text :
https://doi.org/10.1017/cjn.2021.238