Literature DB >> 10234877

Length of stay of stroke rehabilitation inpatients: prediction through the functional independence measure.

F Franchignoni1, L Tesio, M T Martino, E Benevolo, M Castagna.   

Abstract

A model for prediction of length of stay (LOS, in days) of stroke rehabilitation inpatients was developed, based on patients' age (years) and function at admission (scored on the Functional Independence Measure, FIMSM). One hundred and twenty-nine cases, consecutively admitted to three free-standing rehabilitation centres in Italy, were analyzed. A multiple linear regression using forward stepwise selection procedure was adopted. Median admission and discharge scores were: 57 and 75 for the total FIM score, 29 and 48 for the 13-item motor FIM subscore, 29 and 30 for the 5-item cognitive FIM subscore (potential range: 18-126, 13-91, 5-35, respectively). Median LOS was 44 days (interquartile range 30-62). The logLOS predictive model included three FIM items ("toilet transfer", TTr; "social interaction"; "expression") and patient's age (R2 = 0.48). TTr alone explained 31.3% of the variance of logLOS. These results are consistent with previous American studies, showing that FIM scores at admission are strong predictors of patients' LOS, with the transfer items having the greatest predictive power.

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Year:  1998        PMID: 10234877

Source DB:  PubMed          Journal:  Ann Ist Super Sanita        ISSN: 0021-2571            Impact factor:   1.663


  3 in total

1.  Predicting Functional Independence Measure Scores During Rehabilitation with Wearable Inertial Sensors.

Authors:  Gina Sprint; Diane J Cook; Douglas L Weeks; Vladimir Borisov
Journal:  IEEE Access       Date:  2015-08-26       Impact factor: 3.367

2.  Mobility status during inpatient rehabilitation: a comparison of patients with stroke and traumatic brain injury.

Authors:  Janice J Eng; Sarah J Rowe; Linda M McLaren
Journal:  Arch Phys Med Rehabil       Date:  2002-04       Impact factor: 3.966

3.  Identification of candidate categories of the International Classification of Functioning Disability and Health (ICF) for a Generic ICF Core Set based on regression modelling.

Authors:  Alarcos Cieza; Szilvia Geyh; Somnath Chatterji; Nenad Kostanjsek; Bedirhan T Ustün; Gerold Stucki
Journal:  BMC Med Res Methodol       Date:  2006-07-27       Impact factor: 4.615

  3 in total

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