Predictors of Multidimensional Profiles of Participation After Traumatic Brain Injury: A TBI Model Systems Study.

OBJECTIVES: To identify personal, clinical, and environmental factors associated with 4 previously identified distinct multidimensional participation profiles of individuals following traumatic brain injury (TBI). SETTING: Community. PARTICIPANTS: Participants (n = 408) enrolled in the TBI Model Systems (TBIMS) Participation Module, all 1 year or more postinjury. DESIGN: Secondary data analysis of cross-sectional data from participants in a multicenter TBIMS module study on participation conducted between May 2006 and September 2007. Participants provided responses to questionnaires via a telephone interview at their study follow-up (1, 2, 5, 10, or 15 years postinjury). MAIN MEASURES: Participants provided responses to personal (eg, demographic), clinical (eg, function), environmental (eg, neighborhood type), and participation measures to create multidimensional participation profiles. Data from measures collected at the time of injury (preinjury questionnaire, injury characteristics) were also included. The primary outcome was assignment to one of 4 multidimensional participation profile groups based on participation frequency, importance, satisfaction, and enfranchisement. The measures used to develop the profiles were: Participation Assessment with Recombined Tools-Objective, Importance, and Satisfaction scores, each across 3 domains (Productivity, Social Relationships, Out and About in the Community) and the Enfranchisement Scale (contributing to one's community, feeling valued by the community, choice and control). RESULTS: Results of the multinomial regression analysis, with 4 distinct participation profile groups as the outcome, indicated that education, current employment, current illicit drug use, current driving status, community type, and Functional Independence Measure Cognitive at follow-up significantly distinguished participation profile groups. Findings suggest a trend toward differences in participation profile groups by race/Hispanic ethnicity. CONCLUSIONS: Understanding personal, clinical, and environmental factors associated with distinct participation outcome profiles following TBI may provide more personalized and nuanced guidance to inform rehabilitation intervention planning and/or ongoing clinical monitoring.

Developing multidimensional participation profiles after traumatic brain injury: a TBI model systems study.

Purpose. To characterize societal participation profiles after moderate-severe traumatic brain injury (TBI) along objective (Frequency) and subjective (Satisfaction, Importance, Enfranchisement) dimensions.Materials and Methods. We conducted secondary analyses of a TBI Model Systems sub-study (N = 408). Multiaxial assessment of participation included the Participation Assessment with Recombined Tools-Objective and -Subjective questionnaires (Participation Frequency and Importance/Satisfaction, respectively) and the Enfranchisement Scale. Participants provided responses via telephone interview 1-15 years post-injury. Multidimensional participation profiles (classes) were extracted using latent profile analysis.Results. A 4-class solution was identified as providing maximal statistical separation between profiles and being clinically meaningful based on profile demographic features. One profile group (48.5% of the sample) exhibited the "best" participation profile (High Frequency, Satisfaction, Importance, and Enfranchisement) and was also the most advantaged according to socioeconomic indicators. Other profile groups showed appreciable heterogeneity across participation dimensions. Age, race/ethnicity, education level, ability to drive, and urbanicity were features that varied between profiles.Conclusions. Societal participation is a critical, but inherently complex, TBI outcome that may not be adequately captured by a single index. Our data underscore the importance of a multidimensional approach to participation assessment and interpretation using profiles. The use of participation profiles may promote precision health interventions for community integration.Implications for RehabilitationOur study found unidimensional measures of societal participation in traumatic brain injury (TBI) populations that focus exclusively on frequency indicators may be overly simplistic and miss key subjective components of participationTaking a multidimensional perspective, we documented four meaningfully distinct participation subgroups (including both objective and subjective dimensions of societal participation) within the TBI rehabilitation populationMultidimensional profiles of participation may be used to group individuals with TBI into target groups for intervention (e.g., deeper goal assessment for individuals who do not rate standard participation activities as important, but also do not participate and do not feel enfranchised).

Societal Participation of People With Traumatic Brain Injury Before and During the COVID-19 Pandemic: A NIDILRR Traumatic Brain Injury Model Systems Study.

OBJECTIVE: To examine the effect of the COVID-19 pandemic on societal participation in people with moderate-to-severe traumatic brain injury (TBI). DESIGN: Cross-sectional retrospective cohort. SETTING: National TBI Model Systems centers, United States. PARTICIPANTS: TBI Model Systems enrollees (N=7003), ages 16 and older and 1-30 years postinjury, interviewed either prepandemic (PP) or during the pandemic (DP). The sample was primarily male (72.4%) and White (69.5%), with motor vehicle collisions as the most common cause of injury (55.1%). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: The 3 subscales of the Participation Assessment with Recombined Tools-Objective: Out and About (community involvement), Productivity, and Social Relations. RESULTS: Out and About, but not Productivity or Social Relations, scores were appreciably lower among DP participants compared to PP participants (medium effect). Demographic and clinical characteristics showed similar patterns of association with participation domains across PP and DP. When their unique contributions were examined in regression models, age, self-identified race, education level, employment status, marital status, income level, disability severity, and life satisfaction were variably predictive of participation domains, though most effects were small or medium in size. Depression and anxiety symptom severities each showed small zero-order correlations with participation domains across PP and DP but had negligible effects in regression analyses. CONCLUSIONS: Consistent with the effect of COVID-19 on participation levels in the general population, people with TBI reported less community involvement during the pandemic, potentially compounding existing postinjury challenges to societal integration. The pandemic does not appear to have altered patterns of association between demographic/clinical characteristics and participation. Assessing and addressing barriers to community involvement should be a priority for TBI treatment providers. Longitudinal studies of TBI that consider pandemic-related effects on participation and other societally linked outcomes will help to elucidate the potential longer-term effect the pandemic has on behavioral health in this population.

Development of an item bank for measuring prosthetic mobility in people with lower limb amputation: The Prosthetic Limb Users Survey of Mobility (PLUS-M).

BACKGROUND: Achieving mobility with a prosthesis is a common post-amputation rehabilitation goal and primary outcome in prosthetic research studies. Patient-reported outcome measures (PROMs) available to measure prosthetic mobility have practical and psychometric limitations that inhibit their use in clinical care and research. OBJECTIVE: To develop a brief, clinically meaningful, and psychometrically robust PROM to measure prosthetic mobility. DESIGN: A cross-sectional study was conducted to administer previously developed candidate items to a national sample of lower limb prosthesis users. Items were calibrated to an item response theory model and two fixed-length short forms were created. Instruments were assessed for readability, effective range of measurement, agreement with the full item bank, ceiling and floor effects, convergent validity, and known groups validity. SETTING: Participants were recruited using flyers posted in hospitals and prosthetics clinics across the United States, magazine advertisements, notices posted to consumer websites, and direct mailings. PARTICIPANTS: Adult prosthesis users (N = 1091) with unilateral lower limb amputation due to traumatic or dysvascular causes. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Candidate items (N = 105) were administered along with the Patient Reported Outcome Measurement Information System Brief Profile, Prosthesis Evaluation Questionnaire - Mobility Subscale, and Activities-Specific Balance Confidence Scale, and questions created to characterize respondents. RESULTS: A bank of 44 calibrated self-report items, termed the Prosthetic Limb Users Survey of Mobility (PLUS-M), was produced. Clinical and statistical criteria were used to select items for 7- and 12-item short forms. PLUS-M instruments had an 8th grade reading level, measured with precision across a wide range of respondents, exhibited little-to-no ceiling or floor effects, correlated expectedly with scores from existing PROMs, and differentiated between groups of respondents expected to have different levels of mobility. CONCLUSION: The PLUS-M appears to be well suited to measuring prosthetic mobility in people with lower limb amputation. PLUS-M instruments are recommended for use in clinical and research settings.

Development and Validation of a Functionally Relevant Comorbid Health Index in Adults Admitted to Inpatient Rehabilitation for Traumatic Brain Injury.

Several studies have characterized comorbidities among individuals with traumatic brain injury (TBI); however, there are few validated TBI comorbidity indices. Widely used indices (e.g., Elixhauser Comorbidity Index [ECI]) were developed in other patient populations and anchor to mortality or healthcare utilization, not functioning, and notably exclude conditions known to co-occur with TBI. The objectives of this study were to develop and validate a functionally relevant TBI comorbidity index (Fx-TBI-CI) and to compare prognostication of the Fx-TBI-CI with the ECI. We used data from the eRehabData database to divide the sample randomly into a training sample (N = 21,292) and an internal validation sample (N = 9166). We used data from the TBI Model Systems National Database as an external validation sample (N = 1925). We used least absolute shrinkage and selection operator (LASSO) regression to narrow the list of functionally relevant conditions from 39 to 12. In internal validation, the Fx-TBI-CI explained 14.1% incremental variance over an age and sex model predicting the Functional Independence Measure (FIM) Motor subscale at inpatient rehabilitation discharge, compared with 2.4% explained by the ECI. In external validation, the Fx-TBI-CI explained 4.9% incremental variance over age and sex and 3.8% over age, sex, and Glasgow Coma Scale score,compared with 2.1% and 1.6% incremental variance, respectively, explained by the ECI. An unweighted Sum Condition Score including the same conditions as the Fx-TBI-CI conferred similar prognostication. Although the Fx-TBI-CI had only modest incremental variance over demographics and injury severity in predicting functioning in external validation, the Fx-TBI-CI outperformed the ECI in predicting post-TBI function.

Do state supports for persons with brain injury affect outcomes in the 5 Years following acute rehabilitation?

While a substantial literature has examined the effects of individual and family-level factors on outcomes following traumatic brain injury (TBI), minimal attention has been directed to the potential influence of the larger environmental context on outcomes. The purpose of the current study was to investigate the effects of state-level resources and supports as an environmental factor influencing long-term outcomes from TBI using data from the TBI Model Systems. We examined the effects of U.S. state supports that specifically target people with TBI (federal funding for state brain injury programs, per capita revenue generated by brain injury trust funds, and expenditures for brain injury specific Medicaid waivers) and one measure of the relative quality of a state's Long-Term Services and Supports (LTSS) for all people with disabilities. The primary hypothesis was that community participation, global functioning, and life satisfaction will be higher on average among people with TBI living in states with more brain injury specific programs and resources and better LTSS. The results of multilevel and fixed-effects modeling indicated that state supports have a small but significant impact on participation and life satisfaction. The most consistent finding indicated that states with better LTSS had higher levels of community participation and life satisfaction on average for people with TBI over and above individual-level differences and fluctuations in these outcomes over time. There was some indication that more brain injury specific supports also result in better participation in the community. These findings deserve replication and extension to include other environmental factors, particularly community level characteristics, that might affect outcomes from TBI.

Patterns of Functional Change Five to Ten Years after Moderate-Severe Traumatic Brain Injury.

This study aims to characterize the patterns of functional change experienced between 5 and 10 years after moderate-severe traumatic brain injury (TBI). The study included TBI Model Systems national database participants (N = 372) at six sites who experienced TBI, received inpatient rehabilitation, and were followed at 5 and 10 years post-TBI. Outcome measures included self- or proxy-reported Functional Independence Measure (FIMTM) structured interview at 5 and 10 years post-TBI and domain change indices (DCIs) at 10 years to assess subjective change over the previous 5 years. When all seven FIM and subjective DCI subscales were considered together, 69% reported improvement in at least one subscale and 41% reported decline in at least one subscale; 51% reported more domains improved than declined, and 20% reported more domains declined than improved. Age at injury, post-traumatic amnesia duration, FIM, and depression and anxiety at year 5 were associated with FIM change and DCI measures. Although most persons with moderate-severe TBI do not experience widespread change from year 5 to 10 on individual FIM subscales or perceived domain-specific subscales, the vast majority do report change in one or more domains, with more improvement than decline and more change in subjective DCI than in FIM. Clinicians and researchers should be alert to the possibility of both positive and deleterious changes many years after TBI.

Relationship of patient characteristics and inpatient rehabilitation services to 5-year outcomes following spinal cord injury: A follow up of the SCIRehab project.

OBJECTIVE: To examine associations of patient characteristics and treatment quantity delivered during inpatient spinal cord injury (SCI) rehabilitation with outcomes at 5 years post-injury and compare them to the associations found at 1 year post-injury. DESIGN: Observational study using Practice-Based Evidence research methodology in which clinicians documented treatment details. Regression modeling was used to predict outcomes. SETTING: Five inpatient SCI rehabilitation centers in the US. PARTICIPANTS: Participants were 792 SCIRehab participants who were >12 years of age, gave informed consent, and completed both a 1-year and 5-year post-injury interview. OUTCOME MEASURES: Outcome data were derived from Spinal Cord Injury Model Systems (SCIMS) follow-up interviews at 5 years post-injury and, similar to the 1-year SCIMS outcomes, included measures of physical independence, societal participation, life satisfaction, and depressive symptoms, as well as place of residence, school/work attendance, rehospitalization, and presence of pressure ulcers. RESULTS: Consistent with 1-year findings, patient characteristics continue to be strong predictors of outcomes 5-years post-injury, although several variables add to the prediction of some of the outcomes. More time in physical therapy and therapeutic recreation were positive predictors of 1-year outcomes, which held less true at 5 years. Greater time spent with psychology and social work/case management predicted greater depressive symptomatology 5-years post-injury. Greater clinician experience was a predictor at both 1- and 5 -years, although the related positive outcomes varied across years. CONCLUSION: Various outcomes 5-years post-injury were primarily explained by pre-and post-injury characteristics, with little additional variance offered by the quantity of treatment received during inpatient rehabilitation.

Developing an Index of Medical Conditions Associated with Outcomes after Moderate-to-Severe Traumatic Brain Injury.

Medical conditions co-occurring with traumatic brain injury (TBI) are associated with outcomes, and comorbidity indices such as Charlson and Elixhauser are used in TBI research, but they are not TBI specific. The purpose of this research was to develop an index or indices of medical conditions, identified in acute care after moderate to severe TBI, that are associated with outcomes at rehabilitation discharge. Using the TBI Model Systems National Database, the International Classification of Diseases, Ninth Revision (ICD-9) and Tenth Revision (ICD-10) codes of 8988 participants were converted to Healthcare Cost and Utilization Project (HCUP) diagnostic categories. Poisson regression models were built predicting Disability Rating Scale and Functional Independence Measure Cognitive and Motor subscale scores from HCUP categories after controlling for demographic and injury characteristics. Unweighted, weighted, and anchored indices based on the outcome models predicted 7.5-14.3% of the variance in the observed outcomes. When the indices were applied to a new validation sample of 1613 cases, however, only 2.6-6.6% of the observed outcomes were predicted. Therefore, no models or indices were recommended for future use, but several study findings are highlighted suggesting the importance and the potential for future research in this area.

Brain Injury Functional Outcome Measure (BI-FOM): A Single Instrument Capturing the Range of Recovery in Moderate-Severe Traumatic Brain Injury.

OBJECTIVE: To develop a measure of global functioning after moderate-severe TBI with similar measurement precision but a longer measurement range than the FIM. DESIGN: Phase 1: retrospective analysis of 5 data sets containing FIM, Disability Rating Scale, and other assessment items to identify candidate items for extending the measurement range of the FIM; Phase 2: prospective administration of 49 candidate items from phase 1, with Rasch analysis to identify a unidimensional scale with an extended range. SETTING: Six TBI Model System rehabilitation hospitals. PARTICIPANTS: Individuals (N=184) with moderate-severe injury recruited during inpatient rehabilitation or at 1-year telephone follow-up. INTERVENTIONS: Participants were administered the 49 assessment items in person or via telephone. MAIN OUTCOME MEASURES: Item response theory parameters: item monotonicity, infit/outfit statistics, and Factor 1 variance. RESULTS: After collapsing misordered rating categories and removing misfitting items, we derived the Brain Injury Functional Outcome Measure (BI-FOM), a 31-item assessment instrument with high reliability, greatly extended measurement range, and improved unidimensionality compared with the FIM. CONCLUSIONS: The BI-FOM improves global measurement of function after moderate-severe brain injury. Its high precision, relative lack of floor and ceiling effects, and feasibility for telephone follow-up, if replicated in an independent sample, are substantial advantages.

The Association Between Community Participation and Social Internet Use Among Adults With Traumatic Brain Injury.

OBJECTIVE: To examine the association between social Internet use and real-world societal participation in survivors of moderate-severe traumatic brain injury. DESIGN: Prospective cross-sectional observational study. SETTING: Ten Traumatic Brain Injury Model Systems Centers. PARTICIPANTS: A total of 331 participants in the Traumatic Brain Injury Model Systems, interviewed at any follow-up year between April 2014 and March 2015. MAIN MEASURES: Survey on Internet use, including social media and other online socialization; Participation Assessment with Recombined Tools-Objective with separate analyses of Productivity, Social Relations, Out and About subscales; covariates included demographics, injury variables, and functional and emotional status at follow-up. RESULTS: Participants were classified as social Internet users (N = 232) or nonusers (N = 99). Users had significantly higher Participation Assessment with Recombined Tools-Objective Social Relations scores than nonusers. A similar finding pertained to Out and About scores, with the between-group difference significantly greater for those with greater depressive symptoms severity. Users and nonusers did not differ significantly on Productivity subscale. CONCLUSIONS: The positive association between social Internet use and real-world social participation suggests that people with traumatic brain injury do not use social media as an alternative to real-world socialization. Rather, it is likely that similar barriers and facilitators affect both online and real-world social participation following traumatic brain injury. Emotional function should be considered as a moderating factor in further studies.

Return to Productivity Projections for Individuals With Moderate to Severe TBI Following Inpatient Rehabilitation: A NIDILRR TBIMS and CDC Interagency Collaboration.

OBJECTIVE: Return to work and school following traumatic brain injury (TBI) is an outcome of central importance both to TBI survivors and to society. The current study estimates the probability of returning to productivity over 5 years following moderate to severe brain injury. DESIGN: A secondary longitudinal analysis using random effects modeling, that is, individual growth curve analysis based on a sample of 2542 population-weighted individuals from a multicenter cohort study. SETTING: Acute inpatient rehabilitation facilities. PARTICIPANTS: Individuals 16 years and older with a primary diagnosis of TBI who were engaged in school or work at the time of injury. MAIN OUTCOME MEASURES: Participation in productive activity, defined as employment or school, as reported during follow-up telephone interviews at 1, 2, and 5 years postinjury. RESULTS: Baseline variables, age of injury, race, level of education and occupational category at the time of injury, disability rating at hospital discharge, substance abuse status, and rehabilitation length of stay, are significantly associated with probability of return to productivity. Individual-level productivity trajectories generally indicate that the probability of returning to productivity increases over time. CONCLUSIONS: Results of this study highlight the importance of preinjury occupational status and level of education in returning to productive activity following moderate to severe TBI.

Transforming a Traumatic Brain Injury Measure of Participation Into a Psychometrically Sound Spinal Cord Injury Participation Measure.

OBJECTIVE: To evaluate the use of Participation Assessment with Recombined Tools-Objective (PART-O) in spinal cord injury (SCI) and compare it with the Craig Handicap Assessment and Reporting Technique-Short Form (CHART-SF). DESIGN: Follow-up survey of inception cohort. SETTING: Community. PARTICIPANTS: Individuals with SCI, rehabilitated at 2 large SCI Model Systems and enrolled in the SCI Model Systems National Database, who were due for routine follow-up (N=468; median age at injury, 29; median time post injury, 5 years). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: PART-O and CHART-SF. RESULTS: Use of Rasch analysis identified an SCI-specific scoring of PART-O that demonstrated unidimensionality (first contrast eigenvalue of 1.76) with no misfitting items or disordered steps in any response categories. Person separation and reliability were 2.00 and .80, respectively. Unlike CHART-SF, PART-O had a relatively normal distribution with no floor or ceiling effects. Test-retest reliability PART-O administered 2-4 weeks apart was 0.97, with a reliable change index of 3.1 points on a 100-point scale. PART-O correlated 0.79 with the sum of 3 CHART-SF domains with similar content. The PART-O scoring was initially validated on a second data set. CONCLUSIONS: PART-O can be used successfully to measure participation in a population of people with SCI. A new method of scoring PART-O in SCI provides an initially validated, univariate interval measure of participation with good psychometric properties that has advantages over the CHART-SF legacy measure of participation.

Comparison of the Neurobehavioral Symptom Inventory and the Rivermead Postconcussion Symptoms Questionnaire.

Objective: This study sought to determine the similarity of constructs measured by the Neurobehavioral Symptom Inventory (NSI) and Rivermead Postconcussive Symptoms Questionnaire (RPQ) and the potential for interchangeability of scores from the two scales. Setting: Three acute inpatient rehabilitation hospitals in the USA. Participants: 497 community dwelling persons with traumatic brain injury (TBI) who completed the NSI and the RPQ during the same assessment. Inclusion criteria were (a) medical documentation of TBI, (b) age 18 to 64 years, (c) capacity to give informed consent, (d) resides in the community, (e) ability to complete all study measures in English, (f) absence of interfering medical or psychiatric condition. Design: Prospective cohort observational study Main Measures: NSI; RPQ Results: Scores from the NSI and RPQ showed a strong association (Spearman's r = 0.89). Exploratory factor analysis showed that items from the two measures loaded on similar factors. A crosswalk between the two measures was created by equating scores from the scales based on percentile ranks. Conclusion: Results indicate substantial conceptual and empirical overlap between the NSI and RPQ. The percentile crosswalk developed from this dataset may allow combined analysis of post-concussive symptoms from datasets that include either the NSI or the RPQ.

Rasch Analysis of Postconcussive Symptoms: Development of Crosswalks and the Brain Injury Symptom Scale.

OBJECTIVE: The first aim of this study was to develop a Rasch-based crosswalk between 2 postconcussive symptom measures, the Neurobehavioral Symptom Inventory (NSI) and the Rivermead Postconcussive Symptom Questionnaire (RPQ). The second goal was to utilize Rasch analysis to formulate a new proposed scale containing the best theoretical and psychometric items. DESIGN: Prospective cohort observational study. SETTING: Three acute inpatient rehabilitation hospitals in the United States. PARTICIPANTS: Community-dwelling persons (N=497) who were previously hospitalized and were diagnosed with mild to severe traumatic brain injury. Participants were (1) 18-64 years old; (2) could give informed consent; (3) able to complete study measures in English; (4) did not have an interfering medical or psychiatric condition. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: NSI, RPQ. RESULTS: Rasch analysis revealed 4 subdimensions across the 2 scales: cognitive, affective, physical, and visual. Crosswalk tables were generated for the first 3. Visual items were too few to generate a crosswalk. Iterative Rasch analysis produced a new scale with items rated from none to severe including the best items in each of these dimensions. CONCLUSIONS: The NSI and RPQ have considerable overlap and measure the same overarching constructs. Crosswalk tables may be helpful for clinicians and researchers to convert scores from 1 measure to the other. A more psychometrically sound scale, the Brain Injury Symptom Scale, composed of items from the NSI and RPQ, is proposed and will need further validation.

Longitudinal Effects of Medical Comorbidities on Functional Outcome and Life Satisfaction After Traumatic Brain Injury: An Individual Growth Curve Analysis of NIDILRR Traumatic Brain Injury Model System Data.

OBJECTIVE: To explore associations of specific physical and neuropsychiatric medical conditions to motor and cognitive functioning and life satisfaction over the first 10 years following traumatic brain injury (TBI). SETTING: Telephone follow-up through 6 TBI Model System centers. PARTICIPANTS: In total, 404 individuals or proxies with TBI enrolled in the TBI Model System longitudinal study participating in 10-year follow-up. DESIGN: Individual growth curve analysis. MAIN MEASURES: FIM Motor and Cognitive subscales, Satisfaction With Life Scales, and Medical and Mental Health Comorbidities Interview. RESULTS: Hypertension, diabetes, cancers, rheumatoid arthritis, and anxiety negatively affected the trajectory of motor functioning over time. Diabetes, cancers, chronic bronchitis, anxiety, and depression negatively impacted cognitive functioning. Numerous neuropsychiatric conditions (sleep disorder, alcoholism, drug addiction, anxiety, panic attacks, posttraumatic stress disorder, depression, and bipolar disorder), as well as hypertension, liver disease, and cancers, diminished life satisfaction. Other medical conditions had a negative effect on functioning and satisfaction at specific follow-up periods. CONCLUSION: Natural recovery after TBI may include delayed onset of functional decline or early recovery, followed by progressive deterioration, and is negatively affected by medical comorbidities. Results contribute to the growing evidence that TBI is most appropriately treated as a chronic medical condition complicated by a variety of comorbid conditions.

Prevalence of Medical and Psychiatric Comorbidities Following Traumatic Brain Injury.

OBJECTIVE: To examine the prevalence of selected medical and psychiatric comorbidities that existed prior to or up to 10 years following traumatic brain injury (TBI) requiring acute rehabilitation. DESIGN: Retrospective cohort. SETTING: Six TBI Model Systems (TBIMS) centers. PARTICIPANTS: In total, 404 participants in the TBIMS National Database who experienced TBI 10 years prior. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Self-reported medical and psychiatric comorbidities and the onset time of each endorsed comorbidity. RESULTS: At 10 years postinjury, the most common comorbidities developing postinjury, in order, were back pain, depression, hypertension, anxiety, fractures, high blood cholesterol, sleep disorders, panic attacks, osteoarthritis, and diabetes. Comparing those 50 years and older to those younger than 50 years, diabetes (odds ratio [OR] = 3.54; P = .0016), high blood cholesterol (OR = 2.04; P = .0092), osteoarthritis (OR = 2.02; P = .0454), and hypertension (OR = 1.84; P = .0175) were significantly more prevalent in the older cohort while panic attacks (OR = 0.33; P = .0022) were significantly more prevalent in the younger cohort. No significant differences in prevalence rates between the older and younger cohorts were found for back pain, depression, anxiety, fractures, or sleep disorders. CONCLUSIONS: People with moderate-severe TBI experience other medical and mental health comorbidities during the long-term course of recovery and life after injury. The findings can inform further investigation into comorbidities associated with TBI and the role of medical care, surveillance, prevention, lifestyle, and healthy behaviors in potentially modifying their presence and/or prevalence over the life span.

Effects of Statin Treatment on Outcomes after Traumatic Brain Injury.

Neuroprotective treatments that have shown promise in reducing secondary injury and improving recovery in animal models of traumatic brain injury (TBI) have not been found effective to date in humans. One reason may be the delay after injury in initiating treatment. Statin medications are among the promising neuroprotective agents in animal models, and their presence in the bloodstream of many individuals at the time of injury might optimize their clinical impact. This observational study conducted by a subset of centers participating in the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR)-funded TBI Model System program sought to examine the effects of taking statin medication at the time injury on functional outcomes. Participants >50 years of age were prospectively enrolled during patient rehabilitation. Demographic data, cardiovascular history, and brain injury history were obtained through chart abstraction and interview. Prescription medication use in the year prior to enrollment was determined from a national pharmacy search service. Propensity scoring was used to create 49 pairs of participants who were well matched on demographic and clinical attributes but discordant for statin use. The treated and untreated participants did not differ on initial Glasgow Coma Score, time until commands were followed, duration of post-traumatic amnesia, or Functional Independence Measure (FIM) scores at rehabilitation admission, discharge, or 1 year post-injury, or on acute or rehabilitation hospital lengths of stay. Evidence of greater and lesser statin compliance was not associated with outcome. This study did not provide support for a clinically important benefit of statin use at the time of moderate to severe TBI.

The Association of Rehospitalization With Participation 5 Years After Traumatic Brain Injury.

OBJECTIVE: To determine whether rehospitalization during the first 2 years after moderate to severe traumatic brain injury (TBI) is associated with poor participation at 5 years post-TBI, after controlling for demographic and severity factors. SETTING: TBI Model Systems Program. PARTICIPANTS: Community-dwelling individuals with TBI, 16 years or older (n = 1940). DESIGN: Retrospective data analysis of a multicenter prospective study. MAIN MEASURES: Participation Assessment with Recombined Tools-Objective (PART-O). RESULTS: After controlling for demographic and severity factors, a general linear model indicated that rehospitalization status (ie, never rehospitalized during years 1 and 2, rehospitalized either during year 1 or 2, or rehospitalized during both years 1 and 2) predicted less participation at 5 years post-TBI (P = .0353). The PART-O scores were in the hypothesized direction, with the lowest covariate-adjusted mean participation score found for the group with rehospitalizations during both years and the highest covariate-adjusted mean participation score found in the group with no rehospitalizations. Examining total number of rehospitalizations during years 1 and 2, rather than rehospitalization status, yielded analogous results (P = .0148). CONCLUSIONS: This study suggests that rehospitalization in the first 2 years after TBI is negatively associated with participation at 5 years after injury. Since participation is considered a key indicator of successful TBI rehabilitation, minimizing the need for rehospitalizations and promoting health in the community setting should be a priority of postacute care for individuals with TBI.

Examining Driving and Participation 5 Years After Traumatic Brain Injury.

Participation is often considered a primary goal of traumatic brain injury (TBI) rehabilitation, but little is known about the influence of driving on participation after TBI. The objective of this study was to examine the independent contribution of driving status to participation at 5 years post TBI, after controlling for demographic, psychosocial, and functional factors. Participants ( N = 2,456) were community-dwelling individuals with moderate to severe TBI, age 18 to 65 at time of injury, and enrolled in the TBI Model Systems (TBIMS) National Database (NDB). Hierarchical linear regressions for the dependent variable of participation at 5 years post TBI were performed. Findings showed that driving was a highly significant independent predictor of participation and was a stronger relative predictor of participation than FIM® Cognitive, FIM® Motor, and depression. The independent contribution of driving to participation suggests the need to develop evidenced-based occupational therapy assessments and interventions that facilitate safe engagement in the occupation of driving to address the long-term goal of improved participation.