A systematic review of studies reporting multivariable models to predict functional outcomes after post-stroke inpatient rehabilitation. (July 2015)

• Record Type: Journal Article
• Authors: Meyer, Matthew J.; Pereira, Shelialah; McClure, Andrew; Teasell, Robert; Thind, Amardeep; Koval, John; Richardson, Marina; Speechley, Mark
• Is Part Of: Disability and rehabilitation. Volume 37:Number 15(2015:Jul.)
• Page Start: 1316
• Page End: 1323
• Publication Date: 2015-07
• Subjects: People with disabilities -- Periodicals; Rehabilitation -- Periodicals; 617.03
• DOI: 10.3109/09638288.2014.963706
• Languages: English
• ISSNs: 0963-8288

Abstract

<abstract> <title>Abstract</title> <p> <italic>Purpose</italic>: This systematic review summarizes the utility of variables available at acute discharge after stroke for predicting functional independence at discharge from inpatient rehabilitation. <italic>Methods</italic>: A systematic review of four electronic databases (Medline, EMBASE, PsycINFO and CINAHL) was conducted to identify studies reporting multivariable models predicting post-rehabilitation Barthel Index (BI) or Functional Independence Measure (FIM®) scores. In studies meeting inclusion criteria, the frequency with which candidate predictors were found statistically significant was calculated and summarized. <italic>Results</italic>: A total of 3260 articles were screened, of which 27 were included and 63 multivariable models of discharge BI or FIM® were reported. In all, 126 candidate predictors of BI or FIM® were explored. Variables found to be significant most frequently included admission functional level (BI or FIM®), National Institute of Health Stroke Scale (NIHSS), dysphasia, impulsivity, neglect, previous stroke, and age. <italic>Conclusions</italic>: Only a selected group of variables have repeatedly proven to be significant predictors of functional ability after post-stroke inpatient rehabilitation.</p> </abstract>