Suicide Attempts and Ideation Among Veterans/Service Members and Non-Veterans Over 5 Years Following Traumatic Brain Injury: A Combined NIDILRR and VA TBI Model Systems Study.

OBJECTIVE: This study compared rates of suicide attempt (SA) and suicidal ideation (SI) during the first 5 years after traumatic brain injury (TBI) among veterans and service members (V/SMs) in the Veterans Affairs (VA) and the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) Model Systems National Databases to each other and to non-veterans (non-Vs) in the NIDILRR database. SETTING: Twenty-one NIDILRR and 5 VA TBI Model Systems (TBIMS) inpatient rehabilitation facilities in the United States. PARTICIPANTS: Participants with TBI were discharged from rehabilitation alive, had a known military status recorded (either non-V or history of military service), and successful 1-, 2-, and/or 5-year follow-up interviews completed between 2009 and 2021. The year 1 cohort included 8737 unique participants (8347 with SA data and 3987 with SI data); the year 2 (7628 participants) and year 5 (4837 participants) cohorts both had similar demographic characteristics to the year 1 cohort. DESIGN: Longitudinal design with data collected across TBIMS centers at 1, 2, and 5 years post-injury. MAIN OUTCOMES AND MEASURES: History of SA in past year and SI in past 2 weeks assessed by the Patient Health Questionnaire-9 (PHQ-9). Patient demographics, injury characteristics, and rehabilitation outcomes were also assessed. RESULTS: Full sample rates of SA were 1.9%, 1.5%, and 1.6%, and rates of SI were 9.6%, 10.1%, and 8.7% (respectively at years 1, 2, and 5). There were significant differences among groups based on demographic, injury-related, mental/behavioral health, and functional outcome variables. Characteristics predicting SA/SI related to mental health history, substance use, younger age, lower functional independence, and greater levels of disability. CONCLUSIONS: Compared with participants with TBI in the NIDILRR system, higher rates of SI among V/SMs with TBI in the VA system appear associated with risk factors observed within this group, including mental/behavioral health characteristics and overall levels of disability.

Using Machine Learning to Examine Suicidal Ideation After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems National Database Study.

OBJECTIVE: The aim of the study was to predict suicidal ideation 1 yr after moderate to severe traumatic brain injury. DESIGN: This study used a cross-sectional design with data collected through the prospective, longitudinal Traumatic Brain Injury Model Systems network at hospitalization and 1 yr after injury. Participants who completed the Patient Health Questionnaire-9 suicide item at year 1 follow-up ( N = 4328) were included. RESULTS: A gradient boosting machine algorithm demonstrated the best performance in predicting suicidal ideation 1 yr after traumatic brain injury. Predictors were Patient Health Questionnaire-9 items (except suicidality), Generalized Anxiety Disorder-7 items, and a measure of heavy drinking. Results of the 10-fold cross-validation gradient boosting machine analysis indicated excellent classification performance with an area under the curve of 0.882. Sensitivity was 0.85 and specificity was 0.77. Accuracy was 0.78 (95% confidence interval, 0.77-0.79). Feature importance analyses revealed that depressed mood and guilt were the most important predictors of suicidal ideation, followed by anhedonia, concentration difficulties, and psychomotor disturbance. CONCLUSIONS: Overall, depression symptoms were most predictive of suicidal ideation. Despite the limited clinical impact of the present findings, machine learning has potential to improve prediction of suicidal behavior, leveraging electronic health record data, to identify individuals at greatest risk, thereby facilitating intervention and optimization of long-term outcomes after traumatic brain injury.

Participation importance and satisfaction across the lifespan: A traumatic brain injury model systems study.

OBJECTIVE: In rehabilitation research and practice, participation is defined as involvement in life situations and most often measured as frequency of engaging in these life situations. This narrow measurement approach overlooks that individuals perceive importance of and satisfaction with participation in activities in various life areas differently. The purpose of this study was to determine differences in meaningful participation (perceived importance and satisfaction) after moderate to severe traumatic brain injury (TBI) across age groups and to identify predictors of participation satisfaction. METHOD: Secondary data analysis of a TBI Model Systems substudy, including the Participation Assessment with Recombined Tools-Subjective (PART-S) that rates participation importance and satisfaction in 11 life areas that we grouped into three domains (i.e., productivity, social relations, out-and-about). We identified differences across age groups (i.e., 16 to 24 years, 25 to 44 years, 45 to 64 years, and 65 + years) and predictors of participation satisfaction. RESULTS: Participation satisfaction in and importance of the 11 life areas varied across age groups. In all age groups, participants rated relationships as being of medium or high importance more often than other life areas. Older adults reported the highest participation satisfaction across life areas, despite having the lowest participation frequency. Consistent predictors of participation satisfaction were cognitive functioning and frequency of participation in the domain examined. CONCLUSION: Participation importance, satisfaction, and frequency are related, yet distinct, dimensions of participation that should all be measured to adequately evaluate meaningful participation. Future research should explore interventions across the lifespan that target modifiable predictors, like functional cognition and access to frequent participation in important life activities. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Family Needs After Traumatic Brain Injury: A VA TBI Model Systems Study.

OBJECTIVE: To describe the self-reported needs of family caregivers of service members and veterans (SMVs) who sustained a traumatic brain injury (TBI) and to identify predictors of the unmet family caregiver needs. SETTING: Five Department of Veterans Affairs (VA) Polytrauma Rehabilitation Centers (PRCs). PARTICIPANTS: Family caregivers of SMVs enrolled in the VA PRC TBI Model Systems (TBIMS) national database who were within their first 5 years post-TBI ( n = 427). DESIGN: Observational study. MAIN OUTCOME MEASURE: The Family Needs Questionnaire-Revised (FNQ-R) was completed by each SMV's designated caregiver. ANALYSES: Descriptive analyses were conducted on the FNQ-R responses at the item, domain, and total score levels. Unadjusted univariable and adjusted multivariable regression models were fitted to identify predictors of total unmet needs and unmet family need domains. RESULTS: FNQ-R item-level and domain-level descriptive results indicated that health information was the most frequently met need domain. In contrast, emotional and instrumental support domains were the least often met. On average, family caregivers reported that 59.2% of the 37 FNQ-R needs were met at the time of the follow-up assessment. Regression models indicated that both the number of SMV-perceived environmental barriers and whether the SMV received mental health treatment within the past year predicted the number of unmet FNQ-R needs. SMV-reported environmental barriers predicted increased unmet needs in all 6 family caregiver domains, and SMV mental health treatment in the past year predicted more unmet family caregiver emotional support, community support, and professional support needs. CONCLUSIONS: The current findings can be used to inform policy and programming for VA and Department of Defense to proactively address the specific needs of families and caregivers experienced in the first 5 years post-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.

Relations Among Suicidal Ideation, Depressive Symptoms, and Functional Independence During the 10 Years After Traumatic Brain Injury: A Model Systems Study.

OBJECTIVE: To investigate relative causality in relations among suicidal ideation (SI), depressive symptoms, and functional independence over the first 10 years after traumatic brain injury (TBI). DESIGN: Prospective longitudinal design with data collected through the Traumatic Brain Injury Model Systems (TBIMS) network at acute rehabilitation hospitalization as well as 1, 2, 5, and 10 years after injury. SETTING: United States Level I/II trauma centers and inpatient rehabilitation centers with telephone follow-up. PARTICIPANTS: Individuals enrolled into the TBIMS National Database (N=9539) with at least 1 SI score at any follow-up data collection (72.1% male; mean age, 39.39y). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Patient Health Questionnaire-9 and FIM at years 1, 2, 5, and 10 post injury. RESULTS: A cross-lagged panel structural equation model, which is meant to indirectly infer causality through longitudinal correlational data, suggested that SI, depressive symptoms, and functional independence each significantly predicted themselves over time. Within the model, bivariate correlations among variables were all significant within each time point. Between years 1 and 2 and between years 2 and 5, depressive symptoms had a larger effect on SI than SI had on depressive symptoms. Between years 5 and 10, there was reciprocal causality between the 2 variables. Functional independence more strongly predicted depressive symptoms than the reverse between years 1 and 2 as well as years 2 and 5, but its unique effects on SI over time were extremely marginal or absent after controlling for depressive symptoms. CONCLUSIONS: A primary goal for rehabilitation and mental health providers should be to monitor and address elevated symptoms of depression as quickly as possible before they translate into SI, particularly for individuals with TBI who have reduced functional independence. Doing so may be a key to breaking the connection between low functional independence and SI.

Identifying group-based patterns of suicidal ideation over the first 10 years after moderate-to-severe TBI.

OBJECTIVE: To identify group-based patterns in suicidal ideation (SI) over the first 10 years after traumatic brain injury (TBI). METHODS: Participants included 9539 individuals in the TBI Model Systems National Database who responded to Patient Health Questionnaire-9 Item 9 assessing SI at 1, 2, 5, and/or 10 years post-injury. A k-means cluster analysis was conducted to determine group-based patterns of SI, and pre-injury variables were compared with ANOVAs and chi-square tests. RESULTS: SI and attempts decreased over time. Four group-based patterns emerged: Low, increasing, moderate, and decreasing SI. The low SI group comprised 89% of the sample, had the highest pre-injury employment, fewer mental health vulnerabilities, least severe injuries, and were oldest. The increasing SI group had the most severe TBIs, were youngest, and disproportionately Black or Asian/Pacific Islander. CONCLUSION: These findings reinforce the importance of mental health and suicide risk assessment during chronic recovery from TBI.

Refining understanding of life satisfaction in elderly persons with traumatic brain injury using age-defined cohorts: a TBI model systems study.

OBJECTIVE: Examine effects of age cohort on post-injury life satisfaction in elderly persons with TBIDesign: Retrospective cohortSetting: TBI Model Systems centers. PARTICIPANTS: 5,109 elderly participants with TBI in the TBI Model Systems National DatabaseInterventions: Not applicableMain Outcome Measures: Demographics, injury characteristics and cause, outcomes, age at time of analysis, time to follow commands, maximum follow-up period, and scores on the Satisfaction With Life Scale (SWLS) and Participation Assessment with Recombined Tools-Objective (PART-O) scores at 1, 2, 5, or 10 years post-injury. RESULTS: Life satisfaction post-TBI across groups increased with age. The young-old sub-group demonstrated the poorest life satisfaction outcomes, while the oldest sub-group experienced greatest life satisfaction. In contrast, participation decreased with age. CONCLUSIONS: Findings show diversity in satisfaction with life following moderate to severe TBI for three elderly age-cohorts. Differences may be due to variations in generation-based lived experience, in perceived meaningfulness of participation, could echo prior evidence of greater resilience in the oldest group, or could reflect bias within the study sample. Further research into between- and within- differences for elderly TBI age cohorts is needed to more precisely meet their needs for physical and functional rehabilitation as well as psychological supports.

Driving patterns, confidence, and perception of abilities following moderate to severe traumatic brain injury: a TBI model system study.

OBJECTIVE: Describe driving patterns following moderate-to-severe traumatic brain injury (TBI). Participants: Adults (N = 438) with TBI that required inpatient acute rehabilitation who had resumed driving. DESIGN: Cross-sectional, observational design. SETTING: Eight TBI Model System sites. MAIN MEASURES: A driving survey was completed at phone follow-up. RESULTS: Most respondents reported driving daily, although 41% reported driving less than before their injury. Driving patterns were primarily associated with employment, family income, sex, residence, and time since injury, but not injury severity. Confidence in driving was high for most participants and was associated with a perception that the TBI had not diminished driving ability. Lower confidence and perceived loss of ability were associated with altered driving patterns. CONCLUSION: Most people with moderate-to-severe TBI resume driving but perhaps not at pre-injury or normal levels compared to healthy drivers. Some driving situations are restricted. The relationship between low confidence/perceived loss of ability and driving patterns/restrictions suggests people with TBI are exhibiting some degree of caution consistent with those perceptions. Careful assessment of driving skills and monitoring during early stages of RTD is warranted, particularly for younger, male, and/or single drivers who express higher levels of confidence.

Return to Driving After Moderate-to-Severe Traumatic Brain Injury: A Traumatic Brain Injury Model System Study.

OBJECTIVE: Describe who is able to return to driving (RTD) after moderate-to-severe traumatic brain injury (TBI), when this occurs, who maintains that activity, and the association with outcome. DESIGN: Cross-sectional descriptive study. SETTING: Eight follow-up sites of the TBI Model Systems (TBIMS) program. PARTICIPANTS: 618 participants enrolled in the TBIMS and 88 caregivers (N=706). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: A survey was completed from 1-30 years postinjury focusing on RTD. Descriptors included demographic information, injury severity, and current employment status. Outcome was assessed at the time of the interview, including depression, quality of life, functional status, and community participation. RESULTS: Of 706 respondents, 78% (N = 552) RTD, but 14% (N = 77) of these did not maintain that activity. Of those who RTD, 43% (N = 192) did so within 6 months of the injury and 92% did so within 24 months postinjury. The percentage of people driving after TBI did not differ significantly based on age at time of injury or follow-up. There were significant differences between drivers and nondrivers with respect to severity of injury, seizures, race, education, employment, rural vs urban setting, marital status, and family income. We performed a multivariate logistic regression to examine the association between driving status and demographic variables, adjusting for other variables in the model. The strongest associations were with current employment, family income, race, seizures, and severity of injury. Driving was associated with greater community participation, better functional outcomes, fewer symptoms of depression, and greater life satisfaction. CONCLUSIONS: Over a span of 30 years, three-quarters of people experiencing moderate-to-severe TBI return to driving a personal vehicle, although not everyone maintains this activity. Employment, race, family income, and seizures are strongly associated with RTD.

Factors Increasing Risk of Suicide after Traumatic Brain Injury: A State-of-the-Science Review of Military and Civilian Studies.

Primary Objective: Survey TBI literature to identify evidence of risk for post-injury suicide.Literature Selection: Search terms ((traumatic brain injury OR TBI) AND (suicidality OR suicidal behaviour OR suicidal ideation)) entered in PubMed, OVID Medline, PsychInfo, and Web of Science for papers published in print 01/01/1997 to 06/30/2019.Analysis of Literature: Authors screened abstracts, excluding duplicates and articles not meeting inclusion/exclusion criteria. Full papers were reviewed to make final exclusions. Data were extracted from 40 papers included co- and premorbid disorders, demographics, injury-related and psychological factors.Results: Persons with TBI have a higher risk for suicide than the general population. Reviewed articles reported comorbid depression and/or PTSD as risk factors for post-TBI suicide. Co- or premorbid substance misuse, sex, and sleep disturbance moderate risk. Quality of the literature was limited by sample size, the predominance of male participants, and inconsistency in reporting of findings.Conclusions: Comorbid depression and PTSD are significant post-TBI risk factors for suicide. Several variables combine to moderate or mediate TBI's connection with suicide. Civilian and military clinician cross-talk and consistent reporting of results from reproducible studies of post-TBI suicide risk factors could improve prevention and treatment efforts in veterans and civilians.

Secreted Peptides for Diagnostic Trajectory Assessments in Brain Injury Rehabilitation.

BACKGROUND: Rehabilitation following traumatic brain injury (TBI) significantly improves outcomes; yet TBI heterogeneity raises the need for molecular evidence of brain recovery processes to better track patient progress, evaluate therapeutic efficacy, and provide prognostication. OBJECTIVE: Here, we assessed whether the trajectory of TBI-responsive peptides secreted into urine can produce a predictive model of functional recovery during TBI rehabilitation. METHODS: The multivariate urinary peptidome of 12 individuals with TBI was examined using quantitative peptidomics. Measures were assessed upon admission and discharge from inpatient rehabilitation. A combination of Pavlidis template matching and partial least-squares discriminant analysis was used to build models on Disability Rating Scale (DRS) and Functional Independence Measure (FIM) scores, with participants bifurcated into more or less functional improvement groups. RESULTS: The produced models exhibited high sensitivity and specificity with the area under the receiver operator curve being 0.99 for DRS- and 0.95 for FIM-based models using the top 20 discriminant peptides. Predictive ability for each model was assessed using robust leave-one-out cross-validation with Q2 statistics of 0.64 (P = .00012) and 0.62 (P = .011) for DRS- and FIM-based models, respectively, both with a high predictive accuracy of 0.875. Identified peptides that discriminated improved functional recovery reflected heightened neuroplasticity and synaptic refinement and diminished cell death and neuroinflammation, consistent with postacute TBI pathobiology. CONCLUSIONS: Produced models of urine-based peptide measures reflective of ongoing recovery pathobiology can inform on rehabilitation progress after TBI, warranting further study to assess refined stratification across a larger population and efficacy in assessing therapeutic interventions.

Evaluating the Cross-Sectional and Longitudinal Relationships Predicting Suicidal Ideation Following Traumatic Brain Injury.

OBJECTIVE: Characterize relationships among substance misuse, depression, employment, and suicidal ideation (SI) following moderate to severe traumatic brain injury (TBI). DESIGN: Prospective cohort study. SETTING: Inpatient rehabilitation centers with telephone follow-up; level I/II trauma centers in the United States. PARTICIPANTS: Individuals with moderate to severe TBI with data in both the National Trauma Data Bank and the Traumatic Brain Injury Model Systems National Database, aged 18 to 59 years, with SI data at year 1 or year 2 postinjury (N = 1377). MAIN OUTCOME MEASURE: Primary outcome of SI, with secondary employment, substance misuse, and depression outcomes at years 1 and 2 postinjury. RESULTS: Cross-lagged structural equation modeling analysis showed that year 1 unemployment and substance misuse were associated with a higher prevalence of year 1 depression. Depression was associated with concurrent SI at years 1 and 2. Older adults and women had a greater likelihood of year 1 depression. More severe overall injury (injury severity score) was associated with a greater likelihood of year 1 SI, and year 1 SI was associated with a greater likelihood of year 2 SI. CONCLUSIONS: Substance misuse, unemployment, depression, and greater extracranial injury burden independently contributed to year 1 SI; in turn, year 1 SI and year 2 depression contributed to year 2 SI. Older age and female sex were associated with year 1 depression. Understanding and mitigating these risk factors are crucial for effectively managing post-TBI SI to prevent postinjury suicide.

Interrelationships Between Post-TBI Employment and Substance Abuse: A Cross-lagged Structural Equation Modeling Analysis.

OBJECTIVE: To describe the interrelationship of postinjury employment and substance abuse (SA) among individuals with traumatic brain injury. DESIGN: Structural equation model (SEM) and logistic regression analytic approach using a merged database of the National Trauma Data Bank (NTDB) and Traumatic Brain Injury Model Systems (TBIMS) National Database, with acute care and rehabilitation hospitalization data and 1, 2, and 5 year follow-up data. SETTING: United States Level I/II trauma centers and inpatient rehabilitation centers with telephone follow-up. PARTICIPANTS: Individuals in the TBIMS National Database successfully matched to their NTDB data, aged 18-59 years, with trauma severity, age, sex, employment, and SA data at 1, 2, and/or 5 years postinjury (N=2890). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Employment status (employed/unemployed) and SA (present/absent) at year 1, year 2, and year 5 postinjury. RESULTS: SEM analysis showed older age at injury predicted lower likelihood of employment at all time points postinjury (ßYR1=-0.016; ßYR2=-0.006; ßYR5=-0.016; all P<.001), while higher injury severity score (ISS) predicted lower likelihood of employment (ß=-0.008; P=.027) and SA (ß=-0.007; P=.050) at year 1. Male sex predicted higher likelihood of SA at each follow-up (ßYR1=0.227; ßYR2=0.184; ßYR5=0.161; all P<.100). Despite associations of preinjury unemployment with higher preinjury SA, postinjury employment at year 1 predicted SA at year 2 (ß=0.118; P=.028). Employment and SA during the previous follow-up period predicted subsequent employment and SA, respectively. CONCLUSIONS: Employment and SA have unique longitudinal interrelationships and are additionally influenced by age, sex, and ISS. The present work suggests the need for more research on causal, confounding, and mediating factors and appropriate screening and intervention tools that minimize SA and facilitate successful employment-related outcomes.

Effect of Preexisting and Co-Occurring Comorbid Conditions on Recovery in the 5 Years After Rehabilitation for Traumatic Brain Injury.

OBJECTIVE: To determine the relationship between comorbid health conditions and the trajectory of functional recovery 5 years following traumatic brain injury (TBI) rehabilitation. SETTING: Two acute rehabilitation facilities. PARTICIPANTS: A total of 407 patients with primary diagnosis of TBI. DESIGN: Prospective, observational. MAIN MEASURES: Functional Independence Measure Cognitive and Motor scores. RESULTS: Female gender was negatively associated with the trajectory of motor recovery (P < .001). TBI severity was negatively associated with both motor and cognitive recovery and interacted with time after injury (both Ps < .0001). Hypertension was negatively associated with both motor (P < .0001) and cognitive (P = .0121) recovery, although this relationship diminished over time for motor function (P = .0447). Cardiac conditions were negatively associated with motor recovery (P = .0204), and rate of cognitive recovery was more rapid for patients with cardiac conditions (P = .0088). Depressed patients recovered cognitive function more quickly than those who were not depressed (P = .0196). Diabetes was negatively associated with motor function (P = .0088). Drug/alcohol use was positively associated with motor function (P = .0036). CONCLUSIONS: Injury severity remains an important predictor of long-term recovery; however, certain comorbid medical conditions are negatively associated with functional abilities over the first 5 years after injury. Patients being discharged from TBI rehabilitation with comorbid cardiac, hypertensive, diabetic, and/or depressive conditions may benefit from early and ongoing clinical surveillance.

Is Robotic Gait Training Feasible in Adults With Disorders of Consciousness?

OBJECTIVE: To investigate the feasibility and safety of robotic-assisted gait training (RAGT) in adults with disorders of consciousness (DoC). SETTING: Inpatient rehabilitation hospital. PARTICIPANTS: Four adult male patients with traumatic brain injury and DoC. DESIGN: Subjects participated in RAGT with body weight support for 5 to 20 minutes, over 1- to 2-week periods. MAIN MEASURES: Primary measures included vital signs, walking parameters, pain, arousal, and Agitation Behavior Scale scores. Additional data included Modified Ashworth Scale, Coma Recovery Scale-Revised, and Rancho Los Amigos Scale scores. RESULTS: All participants safely completed at least one session of RAGT with body weight support with safe vital signs and low agitation levels. Two adverse events occurred (increased somnolence and pain due to harness placement), which were not considered severe. All subjects emerged out of DoC at which point research protocol was stopped. CONCLUSIONS: Findings suggest inpatient-based RAGT may be safe and feasible to consider when developing a therapy plan of care in adults with DoC.

Evidence-based systematic review of cognitive rehabilitation, emotional, and family treatment studies for children with acquired brain injury literature: From 2006 to 2017.

This paper updates guidelines for effective treatments of children with specific types of acquired brain injury (ABI) published in 2007 with more recent evidence. A systematic search was conducted for articles published from 2006 to 2017. Full manuscripts describing treatments of children (post-birth to 18) with acquired brain injury were included if study was published in peer-reviewed journals and written in English. Two independent reviewers and a third, if conflicts existed, evaluated the methodological quality of studies with an Individual Study Review Form and a Joanna Briggs Institute (JBI) Critical Appraisal Checklist. Strength of study characteristics was used in development of practice guidelines. Fifty-six peer-reviewed articles, including 27 Class I studies, were included in the final analysis. Established guidelines for writing practice recommendations were used and 22 practice recommendations were written with details of potential treatment limitations. There was strong evidence for family/caregiver-focused interventions, as well as direct interventions to improve attention, memory, executive functioning, and emotional/behavioural functioning. A majority of the practice standards and guidelines provided evidence for the use of technology in delivery of interventions, representing an important trend in the field.

A Repeated Measures Pilot Comparison of Trajectories of Fluctuating Endogenous Hormones in Young Women with Traumatic Brain Injury, Healthy Controls.

OBJECTIVE: To compare baseline and 72-hour hormone levels in women with traumatic brain injury (TBI) and controls. SETTING: Hospital emergency department. PARTICIPANTS: 21 women ages 18-35 with TBI and 21 controls. DESIGN: Repeated measures. MAIN MEASURES: Serum samples at baseline and 72 hours; immunoassays for estradiol (E2), progesterone (PRO), luteinizing hormone (LH), follicle-stimulating hormone (FSH), and cortisol (CORT); and health history. RESULTS: Women with TBI had lower E2 (p = 0.042) and higher CORT (p = 0.028) levels over time. Lower Glasgow Coma Scale (GSC) and OCs were associated with lower FSH (GCS p = 0.021; OCs p = 0.016) and higher CORT (GCS p = 0.001; OCs p = 0.008). CONCLUSION: Acute TBI may suppress E2 and increase CORT in young women. OCs appeared to independently affect CORT and FSH responses. Future work is needed with a larger sample to characterize TBI effects on women's endogenous hormone response to injury and OC use's effects on post-TBI stress response and gonadal function, as well as secondary injury.

Development and content validity of the behavioral assessment screening tool (BASTß).

PURPOSE: Develop and establish the content validity of the Behavioral Assessment Screening Tool (BASTß), a self-reported measure of behavioral and emotional symptoms after traumatic brain injury. METHODS: This was an assessment development study, including two focus groups of individuals with traumatic brain injury (n = 11) and their family members (n = 10) and an expert panel evaluation of content validity by experts in traumatic brain injury rehabilitation (n = 7). We developed and assessed the Content Validity Index of the BASTß. RESULTS: The BASTß initial items (n = 77) corresponded with an established conceptual model of behavioral dysregulation after traumatic brain injury. After expert panel evaluation and focus group feedback, the final BASTß included 66 items (60 primary, 6 branching logic) rated on a three-level ordinal scale (Never, Sometimes, Always) with reference to the past two weeks, and an Environmental Context checklist including recent major life events (n = 23) and four open-ended questions about environmental factors. The BASTß had a high Content Validity Index of 89.3%. CONCLUSION: The BASTß is a theoretically grounded, multidimensional self-reported assessment of behavioral dysregulation after traumatic brain injury, with good content validity. Future translation into mobile health modalities could improve effectiveness and efficiency of long-term symptom monitoring post-traumatic brain injury. Future work will establish and validate the factor structure, internal consistency reliabilities and other validities of the BAST. Implications for Rehabilitation Behavioral problems after traumatic brain injury is one of the strongest contributing factors to poor mood and community integration outcomes after injury. Behavior is complex and multidimensional, making it a challenge to measure and to monitor long term. The Behavioral Assessment Screening Tool (BAST) is a patient-oriented outcome assessment developed in collaboration with individuals with traumatic brain injury, their care partners, and experts in the field of traumatic brain injury rehabilitation to be relevant and accessible for adults with traumatic brain injuries. The BAST is a long-term monitoring and screening tool for community-dwelling adults with traumatic brain injuries, to improve identification and management of behavioral and emotional sequelae.

Employment Stability in the First 5 Years After Moderate-to-Severe Traumatic Brain Injury.

OBJECTIVE: To characterize employment stability and identify predictive factors of employment stability in working-age individuals after moderate-to-severe traumatic brain injury (TBI) that may be clinically addressed. DESIGN: Longitudinal observational study of an inception cohort from the Traumatic Brain Injury Model Systems National Database (TBIMS-NDB) using data at years 1, 2, and 5 post-TBI. SETTING: Inpatient rehabilitation centers with telephone follow-up. PARTICIPANTS: Individuals enrolled in the TBIMS-NDB since 2001, aged 18-59, with employment data at 2 or more follow-up interviews at years 1, 2, and 5 (N=5683). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Employment stability, categorized using post-TBI employment data as no paid employment (53.25%), stably (27.20%), delayed (10.24%), or unstably (9.31%) employed. RESULTS: Multinomial regression analyses identified predictive factors of employment stability, including younger age, white race, less severe injuries, preinjury employment, higher annual earnings, male sex, higher education, transportation independence postinjury, and no anxiety or depression at 1 year post-TBI. CONCLUSIONS: Employment stability serves as an important measure of productivity post-TBI. Psychosocial, clinical, environmental, and demographic factors predict employment stability post-TBI. Notable predictors include transportation independence as well as the presence of anxiety and depression at year 1 post-TBI as potentially modifiable intervention targets.