Abstract

Research to demonstrate the efficacy of head injury rehabilitation is important at a time when cost-containment efforts are intensifying. A useful tool that would predict the functional improvement during hospitalization and length of stay (LOS) of persons with traumatic brain injury would be of benefit to patients and their families, insurance carriers, and rehabilitation specialists. This study examines functional improvements made by 50 traumatic brain-injured patients admitted to the rehabilitation unit at the University of California, Davis, Medical Center (UCDMC) as measured by the UCDMC Davis Functional Status Measure (DFSM), which was adapted from the Functional Independence Measure (FIM). The DFSM incorporates additional items to provide a more thorough measure of skills to be rehabilitated. The purpose of this study was to compare scores and profiles on the DFSM items obtained by patients with LOS greater than and less than and equal to the median rehabilitation LOS (23 days). Relationships were explored among admission DFSM scores, LOS for rehabilitation, discharge destination, and functional outcome. Results indicate that patients admitted to the rehabilitation unit attained a similar profile or level of function by discharge, regardless of admission Glasgow Coma Scale scores or admission DFSM scores. There were no significant differences in admission Glasgow Coma Scale score, age, acute LOS, or discharge disposition between the LOS groups. There was a significant difference in median admission DFSM score in 26 of 31 categories between the LOS groups. There was a significant difference in median DFSM change (admission to discharge) in 24 of 31 categories between the LOS groups. The admission DFSM total score was inversely proportional to the length of stay, with a correlation coefficient of 0.78. DFSM change and admission to discharge was linearly correlated with LOS (R = 0.66). The DFSM documents functional outcome and measures gains during inpatient rehabilitation. The DFSM profile is helpful in predicting the LOS needed to achieve those gains.

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