Citation

Pretz CR, Malec JF, Hammond FM. Arch. Phys. Med. Rehabil. 2013; 94(12): 2478-2485.

Affiliation

Craig Hospital, Englewood CO; Traumatic Brain Injury National Statistical and Data Center, Englewood, CO. Electronic address: cpretz@craighospital.org.

Copyright

(Copyright © 2013, Elsevier Publishing)

DOI

10.1016/j.apmr.2013.06.019

PMID

23827348

Abstract

OBJECTIVE: To develop a detailed understanding temporal change i.e. 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 (NIDRR) Traumatic Brain Injury (TBI) Model System National Database. SETTING: Multi-center longitudinal database study. PARTICIPANTS: 8816 individuals with TBI participating in the TBI Model System National Database project. INTERVENTIONS: N/A MAIN OUTCOME MEASURE: DRS. RESULTS: The negative exponential consisting of three growth parameters (pseudo-intercept,asymptote, and rate) was successfully employed to predict trajectory of recovery on the DRS qualified by the following covariates: race, gender, level of education and age at admission,rehabilitation length of stay, and cognitive and motor FIMTM 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: Using IGC analysis, the longitudinal trajectory of recovery on the DRS for individuals sharing common characteristics and traits can be described. This methodology.

Language: en