Alternative Structure Models of the Traumatic Brain Injury Rehabilitation Needs Survey: A Veterans Affairs TBI Model Systems Study.

OBJECTIVE: To explore the factor structure of the Rehabilitation Needs Survey (RNS). DESIGN: Secondary analysis of observational cohort study who were 5-years post-traumatic brain injury (TBI). SETTING: Five Inpatient Rehabilitation Facilities. PARTICIPANTS: Veterans enrolled in the TBI Model Systems longitudinal study who completed the RNS at 5-year follow-up (N=378). MAIN OUTCOME MEASURE(S): RNS. RESULTS: RNS factor structure was examined with exploratory factor analysis (EFA) with oblique rotation. Analyses returned 2- and 3-factor solutions with Cronbach alphas ranging from 0.715 to 0.905 and corrected item-total correlations that ranged from 0.279 to 0.732. The 2-factor solution accounted for 61.7% of the variance with ≥3 exclusively loading items on each factor with acceptable internal consistency metrics and was selected as the most parsimonious and clinically applicable model. Ad hoc analysis found the RNS structure per the EFA corresponded with elements of the International Classification of Functioning, Disability and Health (ICF) conceptual framework. All factors had adequate internal consistency (α≥0.70) and 20 of the 21 demonstrated good discrimination (corrected item-total correlations≥0.40). CONCLUSIONS: The 2-factor solution of the RNS appears to be a useful model for enhancing its clinical interpretability. Although there were cross-loading items, they refer to complex rehabilitation needs that are likely influenced by multiple factors. Alternatively, there are items that may require alteration and redundant items that should be considered for elimination.

Barriers and Facilitators to Accessing Rehabilitation Health Care: A Veterans Affairs Traumatic Brain Injury Model Systems Qualitative Study.

OBJECTIVE: To compare barriers and facilitators to accessing health care services among service members and veterans (SMVs) by traumatic brain injury (TBI) severity groups. DESIGN: Qualitative descriptive study guided by an access to health care services conceptual framework. SETTING: Five Veterans Affairs (VA) polytrauma rehabilitation centers. PARTICIPANTS: SMVs (N=55, including 10 caregivers as proxies) ≥2 years post-TBI recruited from the VA TBI Model Systems and grouped by TBI severity (mild/moderate, severe). MAIN OUTCOME MEASURES: Barriers and facilitators accessing care. RESULTS: The main facilitators included ease of communicating with providers to help SMVs identify and utilize appropriate health care, family advocates who promoted engagement in health care, ability to use government and community facilities, and online resources or equipment. Distance to services was uniformly identified as a main barrier for both patient groups. However, facilitators and barriers to health care access differed by TBI severity. SMVs with severe TBI highlighted the role of nonprofit organizations in promoting health care engagement and the availability of VA specialty residential programs in meeting health care needs. Having unrecognized health care needs in chronic stages and communication difficulties with providers were more commonplace for those with greater TBI severity and affected quality of care. Those with mild/moderate TBI highlighted challenges associated with paying for services in the community and scheduling of services. CONCLUSIONS: Barriers and facilitators exist across multiple dimensions of a health care access framework and vary by TBI severity. Results suggest possible mechanistic links between health care access and SMV health outcomes. Findings support current policy and practice efforts to facilitate health care access for SMVs with TBI but highlight the need for tailored approaches for those with greater disability.

Effect of Post-traumatic Amnesia Duration on Traumatic Brain Injury (TBI) First Year Hospital Costs: A Veterans Affairs Traumatic Brain Injury Model Systems Study.

OBJECTIVE: To examine the association between severity of traumatic brain injury (TBI) as measured by duration of post-traumatic amnesia (PTA) and first year hospitalization costs for service members and veterans (SMVs) treated for TBI at Polytrauma Rehabilitation Centers (PRCs) within the Veterans Health Administration (VHA). DESIGN: Multivariable models of merged datasets from the VA TBI Model Systems (VA TBIMS) national database containing TBI clinical characterization including PTA with VHA hospital cost data. SETTING: Five VA PRCs. PARTICIPANTS: VA TBIMS participants with known PTA who received inpatient rehabilitation within 1 year of their TBI at any of 5 PRCs between 2010 and 2020 (N=717). INTERVENTIONS: N/A. MAIN OUTCOME MEASURES: Total, acute care, rehabilitation, intensive care unit (ICU), and surgery costs across all VA hospitals. RESULTS: A total of 717 SMVs (mean age 36.9 years, 94.1% men, 76.8% non-Hispanic White, 7.8% active duty) met inclusion criteria for the unadjusted analyses. Unadjusted mean total hospital costs in the first-year post TBI were approximately $201,214 higher for those with PTA duration ≥24 hours ($351,157) than PTA <24 hours ($149,943). In adjusted models (n=583), each additional day of PTA duration incrementally increased total ($1453), rehabilitation ($1324), ICU ($78), and surgery ($39) costs. Other significant covariates included age, acute care length of stay, Disability Rating Scale on rehabilitation admission, penetrating violent cause of injury, and drug abuse. CONCLUSIONS: This study demonstrates that PTA as a quantitative measure of TBI severity significantly affects first-year hospitalization costs of SMVs treated at PRCs. Each additional day of PTA was associated with higher total, rehabilitation, ICU, and surgery costs. Mean first year hospital costs were also found to exceed the highest budget allocation to VHA facilities for a veteran treated at a PRC. These findings have possible implications for hospital care provision for those receiving inpatient rehabilitation in VHA settings.

Examining the Relationship Between Sleep Apnea Diagnosis and Suicide Risk in Veterans With Traumatic Brain Injury: A VA TBI Model Systems Study.

OBJECTIVE: Obstructive sleep apnea (OSA) is a common sleep disorder in people with traumatic brain injury (TBI). Although sleep disturbances have been associated with an increased risk of suicide compared with the general population, the relationship between OSA and suicide risk after TBI is not well documented. In this study, we hypothesized that OSA diagnosis would predict suicide risk in veterans with TBI. SETTING: Five Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: Participants were drawn from the VA TBI Model Systems study, with follow-up interviews at year 1 ( n = 392), year 2 ( n = 444), year 5 ( n = 498), or year 10 ( n = 252) post-TBI (7.8%-14.5% follow-up attrition). DESIGN: This was a retrospective analysis from observational data using logistic regression with repeated measurements. Suicide ideation and suicide attempts were examined as outcomes at each follow-up to evaluate the relationship between OSA and suicide risk after adjusting for other risk factors determined a priori via literature review. MAIN MEASURES: Suicidal ideation (Patient Health Questionnaire-9 item 9), suicide attempt during the past year (self-reported), and OSA diagnosis (self-reported). RESULTS: Contrary to study hypotheses, OSA diagnosis had no statistically significant association with suicide ideation or attempt after accounting for known predictors. However, greater depression symptoms, headache severity, and pre-TBI suicidal ideation and attempts predicted suicide risk at follow-up after accounting for other predictors. CONCLUSIONS: Results of this study did not support a relationship between OSA and suicide risk, possibly due to methodological limitations of OSA measurement. Future research on this topic should include objective measures of OSA severity and OSA treatment including adherence. Although suicide is a low base rate occurrence, the impact is disastrous and further research is needed to mitigate suicide risk.

Research Letter: Impact of Obstructive Sleep Apnea Disease Duration on Neuropsychological Functioning After Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study.

OBJECTIVE: To examine the relationship between obstructive sleep apnea (OSA) disease duration and cognitive functioning in those with a history of traumatic brain injury (TBI). We hypothesized that longer OSA duration would predict poorer cognitive performance. SETTING: Inpatient brain injury units at a Veterans Affairs (VA) Polytrauma Rehabilitation Center. PARTICIPANTS: Participants in the VA TBI Model Systems multicenter longitudinal study who enrolled in a modular substudy (April 15, 2018, to January 15, 2021) examining cognition following TBI. All participants had received inpatient rehabilitation for TBI and reported a diagnosis of OSA ( n = 89, mean age = 40.8 years, 97% male, 81% White). Reported duration of OSA ranged from 2 to 7 years (mean = 4.2; SD = 3.9). DESIGN: Retrospective analysis of prospective cohort, cross-sectional. MAIN MEASURES: Brief Test of Adult Cognition by Telephone (BTACT). RESULTS: Controlling for age, education, and time to follow commands, OSA disease duration was negatively associated with delayed verbal memory ( R2Δ = 0.053, F(1,84) = 5.479, P = .022). Performance in other cognitive domains was not significantly associated with OSA disease duration. CONCLUSION: This study provides preliminary evidence that longer duration of OSA (ie, time since diagnosis) has a negative impact on verbal memory in those with a history of hospitalized TBI. This finding extends the literature (which focused on the general population) on the cognitive impact of OSA and is consistent with hypothesized mechanisms such as hippocampal damage and secondary impact of fatigue. Findings suggest that early OSA identification and treatment may be prudent for persons with TBI.

The Utility of the Patient Health Questionnaire (PHQ-9) Sleep Disturbance Item as a Screener for Insomnia in Individuals With Moderate to Severe Traumatic Brain Injury.

OBJECTIVE: To examine the utility of the sleep disturbance item of the Patient Health Questionnaire-9 (PHQ-9) as a screening tool for insomnia among individuals with moderate to severe traumatic brain injury (TBI). SETTING: Telephone interview. PARTICIPANTS: A sample of 248 individuals with a history of moderate to severe TBI participated in an interview within 2 years of their injury. DESIGN: Observational, cross-sectional analysis. MAIN MEASURES: The PHQ-9 was administered along with the Insomnia Severity Index, Pittsburgh Sleep Quality Index, Sleep Hygiene Index, Epworth Sleepiness Scale, and the Insomnia Interview Schedule. RESULTS: Receiver operating characteristic curve analysis was conducted for the PHQ-9 sleep item rating against a set of insomnia criteria to determine an optimal cutoff score. A cutoff of 2 on the PHQ-9 sleep item maximized sensitivity (76%) and specificity (79%), with an area under the curve of 0.79 (95% CI, 0.70-0.88). The 2 groups formed using this cutoff differed significantly on all sleep measures except the Epworth Sleepiness Scale. CONCLUSIONS: The PHQ-9 sleep item may serve as a useful screener to allow for detection of potential sleep disturbance among individuals with moderate to severe TBI. Those who screen positive using this item included in a commonly used measure of depression can be prioritized for further and more comprehensive assessment of sleep disorders.

Longitudinal Patterns of Alcohol Use Following Traumatic Brain Injury in an Active Duty and Young Veteran Military Sample: A VA TBI Model Systems Study.

OBJECTIVE: To describe alcohol use among younger military active duty service members and veterans (SMVs) in the first 5 years after traumatic brain injury (TBI) and examine whether differential alcohol use patterns emerge as a function of brain injury severity and active duty service at time of injury. SETTING: Veterans Affairs (VA) Polytrauma Rehabilitation Centers (PRCs). PARTICIPANTS: In total, 265 SMVs enrolled in the VA Traumatic Brain Injury Model Systems (TBIMS) PRC national database. Participants sustained a TBI of any severity level; received inpatient care at a PRC within 1 year of injury; were younger than 40 years; and completed survey interviews or questionnaires regarding their pre- and postinjury alcohol use for at least 3 of 4 time points (preinjury, postinjury years 1, 2, and 5). MAIN MEASURES: Self-reported alcohol use, defined as amount of weekly consumption and endorsement of binge drinking. Participant information related to demographics, injury, TBI severity, active duty status, mental health treatment, and FIM (Functional Independence Measure) total scores was also obtained to examine impact of these as covariates in the analyses. RESULTS: Alcohol use generally increased following an initial period of reduced consumption for SVMs with moderate-to-severe TBI. Individuals with mild TBI showed an opposite trend, with an initial period of increased use, followed by a decline and return to baseline levels in the long term. However, alcohol use did not significantly differ over time within this subsample after adjusting for covariates. CONCLUSIONS: The current study identified longitudinal alcohol use among a young, military/veteran cohort with a history of TBI, an at-risk population for problematic alcohol use. Patterns of self-reported alcohol consumption suggest the time frame of 2 to 5 years postinjury may be a critical window of opportunity for further intervention to maintain lowered levels of alcohol use, particularly among SVMs with moderate-to-severe TBI.

Health Conditions Among Special Operations Forces Versus Conventional Military Service Members: A VA TBI Model Systems Study.

OBJECTIVE: To examine traumatic brain injury (TBI) characteristics and comorbid medical profiles of Special Operations Forces (SOF) Active Duty Service Member/Veterans (ADSM/Vs) and contrast them with conventional military personnel. SETTING: The 5 Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: A subset of participants in the VA TBI Model Systems multicenter longitudinal study with known SOF status. These included 157 participants who identified as SOF personnel (average age = 41.8 years; 96% male, 81% active duty), and 365 who identified as Conventional Forces personnel (average age = 37.4 years; 92% male, 30% active duty). DESIGN: Retrospective analysis of prospective cohort, cross-sectional. MAIN MEASURES: The Health Comorbidities Interview. RESULTS: SOF personnel were more likely to have deployed to a combat zone, had more years of active duty service, and were more likely active duty at time of TBI. SOF personnel were more likely to have had mild TBI (vs moderate/severe) and their TBI caused by violent mechanism. SOF personnel had a higher number of comorbidities, with more diagnoses of chronic pain, osteoarthritis, hyperlipidemia, hip fractures, and obstructive sleep apnea. CONCLUSION: SOF personnel are at a higher risk for multimorbidity after TBI. Current rehabilitation practices should incorporate early screening and treatment of common conditions in this population, while future practices may benefit from a focus on prevention.

Health and cognition among adults with and without Traumatic Brain Injury: A matched case-control study.

OBJECTIVES: To evaluate associations between traumatic brain injury (TBI) and presence of health conditions, and to compare associations of health and cognition between TBI cases and controls. METHODS: This matched case-control study used data from the TBI Model Systems National Database (TBI cases) and Midlife in the United States II and Refresher studies (controls).  248 TBI cases were age-, sex-, race-, and education-matched without replacement to three controls. Cases and controls were compared on prevalence of 18 self-reported conditions, self-rated health, composite scores from the Brief Test of Adult Cognition by Telephone. RESULTS: The following conditions were significantly more prevalent among TBI cases versus controls: anxiety/depression (OR = 3.12, 95% CI: 2.20, 4.43, p < .001), chronic sleeping problems (OR = 2.76, 95% CI: 1.86, 4.10, p < .001), headache/migraine (OR = 2.61, 95% CI: 1.50, 4.54, p = .0007), and stroke (OR = 6.42, 95% CI: 2.93, 14.10, p < .001). The relationship between self-rated health and cognition significantly varied by TBI (pinteraction = 0.002). CONCLUSION: Individuals with TBI have greater odds of selected neurobehavioral conditions compared to their demographically similar uninjured peers. Among persons with TBI there was a stronger association between poorer self-rated health and cognition than controls. TBI is increasingly conceptualized as a chronic disease; current findings suggest post-TBI health management requires cognitive supports.

Unmet Rehabilitation Needs Indirectly Influence Life Satisfaction 5 Years After Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study.

OBJECTIVE: To describe the association between unmet rehabilitation needs and life satisfaction 5 years after traumatic brain injury (TBI). DESIGN: Prospective observational cohort. SETTING: Five Veterans Affairs (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: VA TBI Model Systems participants (N=301); 95% male; 77% white; average age, 39±14y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Satisfaction With Life Scale (SWLS). RESULTS: Average SWLS score was 22±8. Univariable analyses demonstrated several statistically significant predictors of life satisfaction, including employment status, participation, psychiatric symptom severity, past year mental health treatment, and total number of unmet rehabilitation needs (all P<.05). Multivariable analyses revealed that depression and participation were each associated with life satisfaction. An ad hoc mediation model suggested that unmet rehabilitation needs total was indirectly related to life satisfaction. Total unmet rehabilitation needs ranged from 0-21 (mean, 2.0±3.4). Correlational analyses showed that 14 of the 21 unmet rehabilitation needs were associated with life satisfaction. CONCLUSIONS: Findings support the need for rehabilitation engagement in later stages of TBI recovery. Ongoing assessment of and intervention for unmet rehabilitation needs in the chronic phase of recovery have the potential to mitigate decline in life satisfaction.

Demographic and Mental Health Predictors of Arrests Up to 10 Years Post-Traumatic Brain Injury: A Veterans Affairs TBI Model Systems Study.

OBJECTIVE: Examine rates and predictors of arrests in Veterans and Service Members (V/SM) who received inpatient rehabilitation for traumatic brain injury (TBI). SETTING: Veterans Administration (VA) Polytrauma Rehabilitation Centers. PARTICIPANTS: A total of 948 V/SM drawn from the VA TBI Model Systems cohort with arrest data up to 10 years post-TBI. DESIGN: Longitudinal cohort study; secondary analysis of pre-TBI characteristics predicting post-TBI arrests. MAIN MEASURES: Disclosure of arrests pre-TBI and up to10 years post-TBI. RESULTS: Thirty-six percent of the sample had been arrested prior to their TBI; 7% were arrested post-TBI. When considering all variables simultaneously in a multivariate model, pre-TBI mental health treatment (adjusted odds ratio [aOR] = 4.30; 95% confidence interval [CI]: 2.03-9.14), pre-TBI heavy alcohol use (aOR = 3.04; CI: 1.08-8.55), and number of follow-up interviews (aOR = 2.05; CI: 1.39-4.50) were significant predictors of post-TBI arrest. CONCLUSION: Arrest rates of V/SM prior to TBI were consistent with rates of arrest for people of similar ages in the United States. Post-TBI rates were lower for V/SM than published rates of post-TBI arrests in civilians with TBI. As part of rehabilitation planning for V/SM with TBI, providers should assess for preinjury mental health services and alcohol misuse to (1) identify those who may be at risk for postinjury arrests and (2) provide relevant resources and/or supports.

Rehabilitation Needs at 5 Years Post-Traumatic Brain Injury: A VA TBI Model Systems Study.

OBJECTIVE: Describe rehabilitation needs and factors associated with unmet needs at 5 years post-traumatic brain injury (TBI). SETTING: Five Veterans Affairs (VA) polytrauma rehabilitation centers (PRCs). PARTICIPANTS: VA TBI Model Systems participants (N = 283; 96% male, 75%, 57% severe TBI). DESIGN: Prospective observational cohort. MAIN MEASURES: Rehabilitation Needs Survey (21-item survey that assesses cognitive, emotional, social, and functional needs); Craig Hospital Inventory of Environmental Factors (25-item survey of potential environmental barriers). RESULTS: Participants endorsed a mean of 8 (SD: 6.2) ongoing and 3 (SD: 4.7) unmet rehabilitation needs at 5 years post-TBI. Approximately 65% of participants reported at least 1 rehabilitation need that remained unmet. The number and nature of needs differed across TBI severity groups. In unadjusted and adjusted linear regression models, Black race and environmental barriers (Craig Hospital Inventory of Environmental Factors total score) were predictive of unmet needs (P < .001). Those with greater unmet needs reported the physical environment (54%-63%), informational sources (54%), social attitudes (55%), healthcare access (40%), public policy (32%-37%), transportation availability (33%), and in-home assistance (32%) as the most frequent environmental barriers at 5 years post-TBI. CONCLUSION: Veterans and Service Members continue to have rehabilitation needs at 5 years post-TBI. Veterans Affairs programs to address ongoing needs and policy to support them are needed.

Employment Stability in Veterans and Service Members With Traumatic Brain Injury: A Veterans Administration Traumatic Brain Injury Model Systems Study.

OBJECTIVE: To examine incidence and predictors of employment stability in veterans and military service members with traumatic brain injury (TBI) who return to work. DESIGN: Prospective observational cohort study. SETTING: Four rehabilitation centers. PARTICIPANTS: Veterans and military service members (N=110) with mild (26%), moderate (22%), or severe (52%) TBI enrolled in the Department of Veterans Affairs Polytrauma Rehabilitation Centers TBI Model Systems database within 2 years of injury who were discharged between January 2009 and June 2015. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Employment stability as reflected by competitive employment at 1- and/or 2-year follow-up. RESULTS: Over half (n=61, 55%) of the participants had stable employment at the time the first competitive employment date was recorded. Individuals with stable employment were more likely to be white (79%) and to have slightly higher cognitive and motor discharge scores on the FIM. Based on univariate analysis, more severe TBI and higher FIM motor scores at discharge were significantly associated with employment stability. At follow-up, compared with veterans and military service members who had unstable employment, those with stable employment had higher scores on motor and cognitive FIM and lower scores of self-report symptoms on the Neurobehavioral Symptom Inventory, the 9-item Patient Health Questionnaire-Depression, the 7-item Generalized Anxiety Disorder Questionnaire, and the PTSD Checklist-Civilian version. CONCLUSIONS: A number of unique factors affect employment stability in veterans and military service members with TBI. Study findings identify veterans and military service members who have stable employment and predictors of employment stability.

Prevalence and predictors of tobacco smoking in veterans and service members following traumatic brain injury rehabilitation: a VA TBIMS study.

OBJECTIVE: To identify prevalence and predictors of tobacco smoking among veterans and military service members (V/SM) with traumatic brain injury (TBI) admitted for rehabilitation. METHODS: Participants were drawn from the VA TBI Model Systems multicentre longitudinal research study. Tobacco smoking was assessed both preinjury and at 1- or 2-year post-TBI follow-up for 336 participants. RESULTS: Smoking prevalence was 32% preinjury and 28% at follow-up. Most participants had a stable smoking pattern but 12% of preinjury non-smokers became smokers at follow-up. Preinjury smoking was the strongest predictor of post-TBI smoking. Higher cognitive function also predicted smoking at follow-up. In univariate analyses, smoking was predicted by lower education, preinjury mental health (MH) history, selected TBI severity metrics, and higher functional status at rehabilitation hospital discharge (Disability Rating Scale [DRS] and motor subscale of the Functional Independence Measure [FIM]). CONCLUSION: Study findings may help clinicians and administrators recognize who is at high risk for smoking following TBI, to plan for in-hospital and postdischarge screening and interventions.

Change in body mass index within the first-year post-injury: a VA Traumatic Brain Injury (TBI) model systems study.

OBJECTIVE: To describe change in body mass index (BMI) and weight classification 1-year post- traumatic brain injury (TBI) among Veterans and service members. DESIGN: Prospective observational cohort study. SETTING: VA Polytrauma Rehabilitation Centers. PARTICIPANTS: Veterans and service members (N = 84) enrolled in VA Traumatic Brain Injury Model Systems (VA TBIMS) study with BMI scores at enrollment and 1-year post-injury. INTERVENTIONS: N/A. MAIN OUTCOME MEASURES: BMI scores from height and weight and weight classifications (underweight, normal weight, overweight, obese classes 1-3) defined by WHO. RESULTS: Twenty per cent were obese at time of injury and 24% were obese at 1-year post-injury. Cross-tab analyses revealed 7% of normal weight and 24% overweight participants at time of injury as obese Class 1 one-year post-injury. Univariate models found BMI and tobacco smoking at time of injury were significant predictors of higher BMI scores 1-year post-TBI. Multivariable models found BMI at time of injury and motor functioning, were significant predictors. Preinjury BMI, tobacco smoking and PTSD symptom severity predicted change in weight category. CONCLUSION: While obesity among service members and Veterans post-TBI is below national averages, trends in weight gain between time of injury and 1-year follow-up were observed. Implications for health promotion and chronic disease management efforts with regards to rehabilitation for injured military are discussed. List of Abbreviations: BMI, Body mass index; BRFSS, Behavioural Risk Factor Surveillance; GCS, Glasgow Coma Scale; FIM, Functional Independence Measure; NIDILRR, National Institute on Independent Living and Rehabilitation Research; PCL-C, PTSD checklist-civilian; PSTD, Post-traumatic stress disorder; VA, Veterans Affairs; VA PRC, Veterans Affairs Polytrauma Rehabilitation; VA TBIMS, Veterans Affairs TBI Model Systems.

Utility of the Neurobehavioral Symptom Inventory As an Outcome Measure: A VA TBI Model Systems Study.

OBJECTIVE: To examine the utility of the Neurobehavioral Symptom Inventory (NSI)-a measure of postconcussion symptoms used within the Veterans Health Administration-as an index of rehabilitation outcome. SETTING: Veterans Administration Polytrauma Rehabilitation Centers Traumatic Brain Injury (TBI) Model Systems program. PARTICIPANTS: A total of 159 Veterans (14% with mild TBI; 86% with moderate-severe TBI). MAIN MEASURES: Disability Rating Scale; Functional Independence Measure; Glasgow Outcome Scale-Extended; NSI; Participation Assessment with Recombined Tools-Objective; Posttraumatic Stress Disorder Checklist-Civilian Version; Satisfaction With Life Scale; Supervision Rating Scale. ANALYSES: Correlations and exploratory factor analyses examined the interrelations among outcome measures. Hierarchical regression analyses were utilized to determine if the NSI predicted rehabilitation outcome measures after controlling for demographic variables, TBI severity, and time since injury. NSI reliable changes from pretreatment to 1-year follow-up were examined. Receiver operating characteristics curve analyses were conducted to evaluate the ability of changes in the NSI to predict meaningful change in functioning and employment status. RESULTS: The NSI correlated with psychological distress measures. The NSI administered prior to brain injury rehabilitation had limited predictive utility beyond satisfaction with life. A minority of patients (32%) demonstrated reliable changes on the NSI from baseline to 1-year follow-up. Changes on the NSI were not predictive of meaningful change in employment or functioning. CONCLUSION: The NSI was not useful for assessing meaningful change in a sample of mixed severity TBI patients.

Predictors of Employment Outcomes in Veterans With Traumatic Brain Injury: A VA Traumatic Brain Injury Model Systems Study.

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.

Concordance of Actigraphy With Polysomnography in Traumatic Brain Injury Neurorehabilitation Admissions.

OBJECTIVE: To examine concordance of accelerometer-based actigraphy (ACG) with polysomnography (PSG) in the determination of sleep states in inpatients with traumatic brain injury (TBI), and examine the impact of injury severity and comorbid conditions (spasticity, apnea) on concordance. PARTICIPANTS: This was a convenience sample of 50 participants with primarily severe TBI. DESIGN: This was a retrospective chart review of concurrent administration of PSG with ACG in nonconsecutive rehabilitation admissions with TBI. MAIN MEASURES: Total sleep time and sleep efficiency were measured by PSG and ACG. RESULTS: Moderate to strong correlations between ACG and PSG were observed for total sleep time (r = 0.78, P < .01) and sleep efficiency (r = 0.66, P < .01). PSG and ACG estimates of total sleep time (316 minutes vs 325 minutes, respectively) and sleep efficiency (78% vs 77%, respectively) were statistically indistinguishable. CONCLUSIONS: Actigraphy is a valid proxy for monitoring of sleep in this population across injury severity and common comorbidity groups. However, further research with larger sample sizes to examine concordance in patients with TBI with disorder of consciousness and spasticity is recommended.

The structure of postconcussion symptoms on the Neurobehavioral Symptom Inventory: a comparison of alternative models.

OBJECTIVE: To evaluate and compare the existing Neurobehavioral Symptom Inventory factor structure models to determine which model provides the best overall fit for postconcussion symptoms and determine which model is useful across different samples (eg, with and without mild traumatic brain injury [TBI] history). SETTING: N/A. PARTICIPANTS: A Florida National Guard sample (N = 3098) and a national Department of Veterans Affairs sample (N = 48,175). DESIGN: Retrospective structural equation modeling was used to compare 16 alternative factor structure models. First, these 16 possible models were examined separately in both samples. Then, to determine whether the same factor structures applied across subsamples within these samples, the models were compared for those deployed and those not deployed in the Florida National Guard sample and between those with TBI confirmed on clinical evaluation and those who were determined not to have sustained a TBI within the Department of Veterans Affairs sample. MAIN MEASURES: Neurobehavioral Symptom Inventory. RESULTS: A 4-factor model--vestibular, somatic, cognitive, and affective--had the best overall fit, after elimination of 2 items (ie, hearing problems and appetite disturbance), and was most applicable across samples. CONCLUSIONS: These findings extend the findings of Meterko et al to other samples. Because findings were consistent across sample and subsamples, the current findings are applicable to both Department of Veteran Affairs and Department of Defense postdeployment medical evaluation settings.