To develop and continuously update a public dashboard on data collected from the Traumatic Brain Injury (TBI) Model System collaborative study examining chronic pain for individuals with moderate to severe TBI.

To evaluate weight change trajectories among survivors of traumatic brain injury (TBI) across pre-injury, 6, 12, and 24-months post-injury.

Objectives: To examine the length of time to return to work (RTW) among service members and veterans (SM/V) with traumatic brain injury (TBI) and to identify variables predictive of RTW. Setting: Department of Veterans Affairs Polytrauma Rehabilitation Centers (VA PRC). Participants: SM/V enrolled in the VA PRC Traumatic Brain Injury Model Systems database who were of 18 to 60 years of age and admitted with the diagnosis of TBI. Design: Prospective observational cohort study. Main Outcome Measures: Employment status at 1-year postinjury follow-up; Time to Employment (ie, number of days it took to RTW) as documented during 1-year postinjury follow-up. Results: The final sample ( n = 293) included male (96%) SM/V with severe TBI (69%). Approximately 21% of the sample participants were employed at 1 year postinjury. Younger individuals who self-identified as nonminority returned to work sooner. Significant associations were observed for time to employment for cause of injury and injury severity. Conclusions: Few SM/V with moderate to severe TBI returned to work at 1 year postinjury. Predictors such as younger age at the time of injury, minority status, and severity of TBI affected time to and probability of RTW. Findings from this study have important implications for rehabilitation planning and service delivery across the continuum of recovery.

The objective of this study is to examine the length of time return to work (RTW) among Veterans and Service Members V/SM with traumatic brain injury (TBI) and to identify variables predictive of RTW.

OBJECTIVE:Evaluate the test-retest reliability of measures that comprise the Traumatic Brain Injury Model Systems follow-up data set.PARTICIPANTS:A total of 224 persons with a moderate-severe traumatic brain injury (TBI) enrolled in the Traumatic Brain Injury Model Systems National Database.DESIGN:Following standard administration of the follow-up interview, a second interview was administered 14 to 28 days later using the same interviewer and the same mode of administration.MAIN MEASURES:Traumatic Brain Injury Model Systems follow-up interview that includes 66 variables comprised (a) single item measures of demographics; employment; general health as well as specific health conditions; rehospitalization; tobacco, alcohol, and other drug use; transportation; and mental health and (b) multi-item instruments: FIM; Participation Assessment With Recombined Tools-Objective; Disability Rating Scale; Glasgow Outcome Scale-Extended; Supervision Rating Scale; Satisfaction With Life Scale; TBI Quality of Life Anxiety and Depression items; and The Ohio State University TBI Identification Method.RESULTS:Intraclass correlation coefficient values ranged from 0.65 to 0.99, weighted kappa values ranged from 0.54 to 0.99, and kappa values ranged from 0.43 to 1.00. Four kappa/weighted kappa estimates fell below 0.60: arrested, psychiatric hospitalization, number of days not in good physical health, and rating of general emotional health.CONCLUSIONS:With few exceptions, good to excellent test-retest reliability estimates were obtained. The findings support the use of these measures in prior and future studies and indicate that persons with moderate-severe TBI can provide reliable self-report.

Objective: To describe the rates and causes for rehospitalization over 10 years after moderate-severe traumatic brain injury (TBI), and to characterize longitudinal trajectories of the probability of rehospitalization using generalized linear mixed models and individual growth curve models conditioned on factors that help explain individual variability in rehospitalization risk over time. Design: Secondary analysis of data from a multicenter longitudinal cohort study. Setting: Acute inpatient rehabilitation facilities and community follow-up. Participants: Individuals 16 years and older with a primary diagnosis of TBI. Main Outcome Measures: Rehospitalization (and reason for rehospitalization) as reported by participants or proxy during follow-up telephone interviews at 1, 2, 5, and 10 years postinjury. Results: The greatest number of rehospitalizations occurred in the first year postinjury (27.8% of the sample), and the rates of rehospitalization remained largely stable (22.1%–23.4%) at 2, 5, and 10 years. Reasons for rehospitalization varied over time: Orthopedic and reconstructive surgery rehospitalizations were most common in year 1, whereas general health maintenance was most common by year 2 with rates increasing at each follow-up. Longitudinal models indicate that multiple demographic and injury-related factors are associated with the probability of rehospitalization over time. Conclusions: These findings can inform the content and timing of interventions to improve health and longevity after TBI.

Objective: To determine the association between demographic, psychosocial, and injury-related characteristics and traumatic brain injury (TBI) occurring prior to a moderate or severe TBI requiring rehabilitation.Design: Secondary data analysis.Setting: TBI Model System inpatient rehabilitation facilities.Participants: Persons (N=4464) 1, 2, 5, 10, 15, or 20 years after TBI resulting in participation in the TBI Model System National Database.Interventions: Not applicable.Main Outcome Measures: History of TBI prior to the TBI Model System Index injury, pre-Index injury demographic and behavioral characteristics, Index injury characteristics, post-Index injury behavioral health and global outcome.Results: Twenty percent of the cohort experienced TBIs preceding the TBI Model System Index injury-80% of these were mild and 40% occurred before age 16. Pre- and post-Index injury behavioral issues, especially substance abuse, were highly associated with having had a prior TBI. Greater severity of the pre-Index injury as well as occurrence before age 6 often showed stronger associations. Unexpectedly, pre-Index TBI was associated with less severe Index injuries and better functioning on admission and discharge from rehabilitation.Conclusions: Findings suggest that earlier life TBI may have important implications for rehabilitation after subsequent TBI, especially for anticipating behavioral health issues in the chronic stage of recovery. Results provide additional evidence for the potential consequences of early life TBI, even if mild. (c) 2013 by the American Congress of Rehabilitation Medicine

Objective: To determine whether use of neighborhood characteristics derived from U.S. Census Bureau information contributes to the prediction of outcomes after traumatic brain injury (TBI) beyond the variance accounted for by individual characteristics.Design: Cross-sectional analysis of follow-up interviews conducted 1, 2, and 5 years postinjury.Setting: Twelve Traumatic Brain Injury Model Systems (TBIMS) centers.Participants: Patients 16 years of age and older with moderate or severe TBI enrolled in the TBIMS National Database (N = 472).Interventions: None.Main Outcome Measures: Satisfaction With Life Scale and Participation Assessment with Recombined Tools-Objective.Results: Individual characteristics alone accounted for 26% and 48% of variance in life satisfaction and participation, respectively; neighborhood characteristics alone accounted for 6% and 9% of variance, respectively. Models combining both types of characteristics included significant neighborhood and individual predictors for participation but not life satisfaction; however, for participation, prediction only improved beyond that found for individual characteristics alone by 1.2%.Conclusions: The results did not support the hypotheses that characteristics of a person's neighborhood would increase out-come prediction beyond that which can be accomplished based on characteristics of the individual alone. Though neighborhood characteristics were statistically significant in prediction models, the improvement in percent of variance accounted for was negligible. Refinements in conceptualization and methodology are suggested for continued exploration of the contribution of neighborhood characteristics to TBI outcomes.