Article

OBJECTIVE: To develop a detailed understanding of temporal change (ie, estimated
trajectories) at the individual level as measured by the Disability Rating Scale
(DRS). DESIGN: Individual growth curve (IGC) analysis of retrospective data
obtained from the National Institute on Disability and Rehabilitation Research
Traumatic Brain Injury (TBI) Model Systems National Database. SETTING:
Multicenter longitudinal database study. PARTICIPANTS: Individuals with TBI
(N=8816) participating in the TBI Model Systems National Database project.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE DRS RESULTS: The negative
exponential consisting of 3 growth parameters (pseudointercept, asymptote, rate)
was successfully used to predict trajectory of recovery on the DRS qualified by
the following covariates: race, sex, level of education and age at admission,
rehabilitation length of stay, and cognitive and motor FIM scores at
rehabilitation admission. Based on these results, an interactive tool was
developed to allow prediction of the trajectory of recovery for individuals and
subgroups with specified characteristics on the selected covariates. CONCLUSIONS:
With the use of IGC analysis, the longitudinal trajectory of recovery on the DRS
for individuals sharing common characteristics and traits can be described. This
methodology allows researchers and clinicians to predict numerous
individual-level trajectories through use of a web-based computer automated
interactive tool.
CI - Copyright (c) 2013 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS