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.

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.

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.

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.

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.

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.

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.

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.

Predicting the Trajectory of Participation After Traumatic Brain Injury: A Longitudinal Analysis.

OBJECTIVE: To identify factors that predict trajectories of participation over the first 5 years after moderate to severe traumatic brain injury (TBI). SETTING: TBI Model System Programs. PARTICIPANTS: Community-dwelling individuals with TBI, 16 years of age or older (n = 1947). DESIGN: Secondary analysis of a prospective, nonrandomly sampled, longitudinal data registry. MAIN MEASURES: Participation Assessment with Recombined Tools-Objective (PART-O). RESULTS: Age at injury and FIM Motor score predicted trajectory of participation over the first 5 years after moderate to severe TBI. Older age predicted generally worse participation overall as well as progressively worsening participation over time. Higher FIM Motor raised the predicted participation values, although it reduced the rate of improvement in participation scores over time. FIM Cognitive scores, race, depression, years of education, and living setting did not predict trajectory but did significantly influence participation consistently at all time points. CONCLUSION: The trajectories of participation over the first 5 years after TBI can be predicted by age at injury and FIM Motor scores. These findings may enhance the ability of rehabilitation professionals to identify individuals at risk for poor participation after TBI and develop targeted interventions for optimizing involvement in life activities.

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.

Internet and Social Media Use After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems Study.

OBJECTIVES: To characterize Internet and social media use among adults with moderate to severe traumatic brain injury (TBI) and to compare demographic and socioeconomic factors associated with Internet use between those with and without TBI. SETTING: Ten Traumatic Brain Injury Model Systems centers. PARTICIPANTS: Persons with moderate to severe TBI (N = 337) enrolled in the TBI Model Systems National Database and eligible for follow-up from April 1, 2014, to March 31, 2015. DESIGN: Prospective cross-sectional observational cohort study. MAIN MEASURES: Internet usage survey. RESULTS: The proportion of Internet users with TBI was high (74%) but significantly lower than those in the general population (84%). Smartphones were the most prevalent means of Internet access for persons with TBI. The majority of Internet users with TBI had a profile account on a social networking site (79%), with more than half of the sample reporting multiplatform use of 2 or more social networking sites. CONCLUSION: Despite the prevalence of Internet use among persons with TBI, technological disparities remain in comparison with the general population. The extent of social media use among persons with TBI demonstrates the potential of these platforms for social engagement and other purposes. However, further research examining the quality of online activities and identifying potential risk factors of problematic use is recommended.

Representativeness of the Spinal Cord Injury Model Systems National Database.

STUDY DESIGN: Secondary analysis of prospectively collected observational data. OBJECTIVES: To assess the representativeness of the Spinal Cord Injury Model Systems National Database (SCIMS-NDB) of all adults aged 18 years or older receiving inpatient rehabilitation in the United States (US) for new onset traumatic spinal cord injury (TSCI). SETTING: Inpatient rehabilitation centers in the US. METHODS: We compared demographic, functional status, and injury characteristics (nine categorical variables comprising of 46 categories and two continuous variables) between the SCIMS-NDB (N = 5969) and UDS-PRO/eRehabData (N = 99,142) cases discharged from inpatient rehabilitation in 2000-2010. RESULTS: There are negligible differences (<5%) between SCIMS-NDB patients and the population for 31 of the 48 comparisons. Minor differences (5-10%) exist for age categories, sex, race/ethnicity, marital status, FIM Motor score, and time from injury to rehabilitation admission. Important differences (>10%) exist in mean age and preinjury occupational status; the SCIMS-NDB sample was younger and included a higher percentage of individuals who were employed (62.7 vs. 41.7%) and fewer who were retired (10.2 vs. 36.1%). CONCLUSIONS: Adults in the SCIMS-NDB are largely representative of the population of adults receiving inpatient rehabilitation for new onset TSCI in the US. However, users of the SCIMS-NDB may need to adjust statistically for differences in age and preinjury occupational status to improve generalizability of findings.

Acute Ischemic Stroke After Moderate to Severe Traumatic Brain Injury: Incidence and Impact on Outcome.

BACKGROUND AND PURPOSE: Traumatic brain injury (TBI) leads to nearly 300 000 annual US hospitalizations and increased lifetime risk of acute ischemic stroke (AIS). Occurrence of AIS immediately after TBI has not been well characterized. We evaluated AIS acutely after TBI and its impact on outcome. METHODS: A prospective database of moderate to severe TBI survivors, admitted to inpatient rehabilitation at 22 Traumatic Brain Injury Model Systems centers and their referring acute-care hospitals, was analyzed. Outcome measures were AIS incidence, duration of posttraumatic amnesia, Functional Independence Measure, and Disability Rating Scale, at rehabilitation discharge. RESULTS: Between October 1, 2007, and March 31, 2015, 6488 patients with TBI were enrolled in the Traumatic Brain Injury Model Systems National Database. One hundred and fifty-nine (2.5%) patients had a concurrent AIS, and among these, median age was 40 years. AIS was associated with intracranial mass effect and carotid or vertebral artery dissection. High-velocity events more commonly caused TBI with dissection. AIS predicted poorer outcome by all measures, accounting for a 13.3-point reduction in Functional Independence Measure total score (95% confidence interval, -16.8 to -9.7; P<0.001), a 1.9-point increase in Disability Rating Scale (95% confidence interval, 1.3-2.5; P<0.001), and an 18.3-day increase in posttraumatic amnesia duration (95% confidence interval, 13.1-23.4; P<0.001). CONCLUSIONS: Ischemic stroke is observed acutely in 2.5% of moderate to severe TBI survivors and predicts worse functional and cognitive outcome. Half of TBI patients with AIS were aged ≤40 years, and AIS patients more often had cervical dissection. Vigilance for AIS is warranted acutely after TBI, particularly after high-velocity events.

Validation of the Participation Measure-3 Domains, 4 Dimensions (PM-3D4D).

OBJECTIVE: To examine the construct validity of the Participation Measure-3 Domains, 4 Dimensions (PM-3D4D), a multidimensional participation measure developed for use in rehabilitation practice. DESIGN: Cross-sectional study. SETTING: Outpatient rehabilitation programs. PARTICIPANTS: Rehabilitation patients (N=556; mean age, 61.4±23.6y; 47.1% women). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The PM-3D4D is a 19-item measure designed to evaluate participation in 3 domains-Productivity, Social, and Community-across 4 dimensions-Diversity, Frequency, Desire for change, and Difficulty. Intercorrelations among the 4 dimensions of the PM-3D4D and correlations between the PM-3D4D and 3 legacy instruments-Participation Assessment with Recombined Tools-Objective, Participation Measure for Post-Acute Care, and Satisfaction With Life Scale-were examined to establish the convergent and divergent validity of the PM-3D4D. Known-group validity was evaluated by comparing PM-3D4D scores across age groups and groups of people classified by functional level. RESULTS: The Diversity scale of the PM-3D4D was strongly correlated with the Frequency scale (Spearman correlation coefficient, rs=.83-.96 across the 3 domains), and these 2 scales showed moderate to strong correlations with the Difficulty scale (rs=.42-.70) but weak (rs=-.4 to 0) and insignificant correlations with the Desire for change scale. The Frequency and Difficulty scales of the PM-3D4D showed moderate to strong correlations with the Participation Assessment with Recombined Tools-Objective and Participation Measure for Post-Acute Care (rs=.41-.82), respectively, and the Desire for change scale had weak correlations with the Satisfaction With Life Scale (rs=-.32 to -.18). Significant differences in PM-3D4D scores were found by age and functional level. CONCLUSIONS: Findings of this study support the construct validity of the PM-3D4D, providing evidence for using the PM-3D4D to assess rehabilitation patients' participation performance and helping practitioners identify intervention priorities to improve patients' participation outcomes.

Test-Retest Reliability of Traumatic Brain Injury Outcome Measures: A Traumatic Brain Injury Model Systems Study.

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.

Another Look at the PART-O Using the Traumatic Brain Injury Model Systems National Database: Scoring to Optimize Psychometrics.

OBJECTIVE: To integrate previous approaches to scoring the Participation Assessment with Recombined Tools-Objective (PART-O) in a unidimensional scale. DESIGN: Retrospective analysis of PART-O data from the Traumatic Brain Injury Model Systems. SETTING: Community. PARTICIPANTS: Data from individuals (N=469) selected randomly from participants who completed 1-year follow-up in the Traumatic Brain Injury Model Systems were used in Rasch model development. The model was subsequently tested on data from additional random samples of similar size at 1-, 2-, 5-, 10-, and >15-year follow-ups. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: PART-O. RESULTS: After combining items for productivity and social interaction, the initial analysis at 1-year follow-up indicated relatively good fit to the Rasch model (person reliability=.80) but also suggested item misfit and that the 0-to-5 scale used for most items did not consistently show clear separation between rating levels. Reducing item rating scales to 3 levels (except combined and dichotomous items) resolved these issues and demonstrated good item level discrimination, fit, and person reliability (.81), with no evidence of multidimensionality. These results replicated in analyses at each additional follow-up period. CONCLUSIONS: Modifications to item scoring for the PART-O resulted in a unidimensional parametric equivalent measure that addresses previous concerns about competing item relations, and it fit the Rasch model consistently across follow-up periods. The person-item map shows a progression toward greater community participation from solitary and dyadic activities, such as leaving the house and having a friend through social and productivity activities, to group activities with others who share interests or beliefs.

Resilience Following Traumatic Brain Injury: A Traumatic Brain Injury Model Systems Study.

OBJECTIVE: To examine resilience at 3 months after traumatic brain injury (TBI). DESIGN: Cross-sectional analysis of an ongoing observational cohort. SETTING: Five inpatient rehabilitation centers, with 3-month follow-up conducted primarily by telephone. PARTICIPANTS: Persons with TBI (N=160) enrolled in the resilience module of the TBI Model System study with 3-month follow-up completed. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Connor-Davidson Resilience Scale. RESULTS: Resilience scores were lower than those of the general population. A multivariable regression model, adjusting for other predictors, showed that higher education, absence of preinjury substance abuse, and less anxiety at follow-up were significantly related to greater resilience. CONCLUSIONS: Analysis suggests that lack of resilience may be an issue for some individuals after moderate to severe TBI. Identifying persons most likely at risk for low resilience may be useful in planning clinical interventions.

The Reliability of a Computer-Assisted Telephone Interview Version of the Ohio State University Traumatic Brain Injury Identification Method.

OBJECTIVES: Provide test-retest reliability (>5 months) of the Ohio State University Traumatic Brain Injury Identification Method modified for use as a computer-assisted telephone interview (CATI) to capture traumatic brain injury (TBI) and other substantial bodily injuries among a representative sample of noninstitutionalized adults living in Colorado. DESIGN: Four subsamples of 50 individuals, including people with no major lifetime injury, a major lifetime injury but no TBI, TBI with no loss of consciousness, and TBI with loss of consciousness, were interviewed using the CATI Ohio State University Traumatic Brain Injury Identification Method between 6 and 18 months after an initial interview. PARTICIPANTS: Stratified random sample of Coloradans (n = 200) selected from a larger study of TBI. PRIMARY MEASURES: Cumulative, Severity and Age-related indices were assessed for long-term reliability. Cumulative indices were those that summed the total number of specific TBI severities across the lifetime; Severity indices included measures of the most severe type of injury incurred throughout the lifetime; and Age-related indices assessed the timing of specific injury types across the lifespan. RESULTS: Test-retest reliabilities ranged from poor to excellent. The indices demonstrating the greatest reliability were Severity measures, with intraclass correlations for ordinal indices ranging from 0.62 to 0.78 and Cohen κ ranging from 0.50 to 0.62. One Cumulative outcome demonstrated high reliability (0.70 for number of TBIs with loss of consciousness ≥30 minutes), while the remaining Cumulative outcomes demonstrated low reliability, ranging from 0.06 to 0.21. Age-related test-retest reliabilities were fair to poor, with intraclass correlations of 0.38 to 0.49 and Cohen κ of 0.32 and 0.34. CONCLUSION: The CATI-modified Ohio State University Traumatic Brain Injury Identification Method used in this study is an effective measure for evaluating the maximum TBI severity incurred throughout the lifetime within a general population survey. The CATI measure is not recommended for use in determining cumulative counts of lifetime incidence of TBI.