Validation of a model for evaluating outcome after traumatic brain injury.

OBJECTIVE To validate a model that examines the contribution of premorbid variables, injury severity, and functional and cognitive status to outcome 1 year after traumatic brain injury (TBI). DESIGN Cross-validation study using a larger, national, prospective, longitudinal sample. SETTING Acute inpatient rehabilitation hospitals at Traumatic Brain Injury Model Systems centers. PARTICIPANTS Two sample populations followed through acute rehabilitation to 1 year after TBI. The original sample included 107 patients, and the cross-validation sample included 294 patients. Participants were predominantly young men who had experienced moderate to severe TBI in motor vehicle crashes. INTERVENTIONS Acute medical and rehabilitation care. MAIN OUTCOME MEASURES Disability Rating Scale, Community Integration Questionnaire, and return to employment. RESULTS Structural equation modeling was used to compare the fit of the data to a path analysis developed through clinical use and previous research. Both samples provided adequate goodness of fit, supporting the model's validity. Injury severity affected cognitive and functional status, and cognitive and functional status significantly influenced 1-year outcome. Premorbid factors and injury severity did not directly influence outcome. CONCLUSIONS Both samples supported the proposed model, which was cross-validated. Injury severity indirectly influences outcome through its effects on cognitive and functional status. Although treatment to decrease injury severity is obviously important, concentrated rehabilitation interventions aimed at improving patients' cognitive and functional status may have a more significant impact on 1-year outcome and should be the focus of future research.

[1]  C. Boake,et al.  Using early neuropsychologic testing to predict long-term productivity outcome from traumatic brain injury. , 2001, Archives of physical medicine and rehabilitation.

[2]  K. Bollen A New Incremental Fit Index for General Structural Equation Models , 1989 .

[3]  B Jennett,et al.  Disability after severe head injury: observations on the use of the Glasgow Outcome Scale. , 1981, Journal of neurology, neurosurgery, and psychiatry.

[4]  T. Nick,et al.  Early cognitive status and productivity outcome after traumatic brain injury: findings from the TBI model systems. , 2002, Archives of physical medicine and rehabilitation.

[5]  J. S. Long,et al.  Testing Structural Equation Models , 1993 .

[6]  Marcus J. Fuhrer,et al.  Rehabilitation outcomes : analysis and measurement , 1987 .

[7]  Kenneth A. Bollen,et al.  Structural Equations with Latent Variables , 1989 .

[8]  G. Teasdale Management of head injuries. , 1982, The Practitioner.

[9]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[10]  Barbara M. Byrne,et al.  A Primer of LISREL , 1989 .

[11]  T. Novack,et al.  Outcome after traumatic brain injury: pathway analysis of contributions from premorbid, injury severity, and recovery variables. , 2001, Archives of physical medicine and rehabilitation.

[12]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[13]  K. Bollen Sample size and bentler and Bonett's nonnormed fit index , 1986 .

[14]  R. P. McDonald,et al.  Goodness-of-fit indexes in confirmatory factor analysis : The effect of sample size , 1988 .

[15]  J. Kreutzer,et al.  Assessment of community integration following rehabilitation for traumatic brain injury , 1993 .

[16]  T. McMillan,et al.  Assessment of post-traumatic amnesia after severe closed head injury: retrospective or prospective? , 1996, Journal of neurology, neurosurgery, and psychiatry.

[17]  B. Byrne A Primer of Lisrel: Basic Applications and Programming for Confirmatory Factor Analytic Models , 1989 .

[18]  E. Carmines,et al.  Analyzing models with unobserved variables: analysis of covariance structures , 1981 .

[19]  M Rappaport,et al.  Disability rating scale for severe head trauma: coma to community. , 1982, Archives of physical medicine and rehabilitation.

[20]  B. Hamilton A uniform national data system for medical rehabilitation. , 1987 .

[21]  J. S. Long Confirmatory Factor Analysis: A Preface to Lisrel , 1983 .

[22]  J. Long Confirmatory Factor Analysis , 1983 .