Relationship Between Extreme Pain Phenotypes and Psychosocial Outcomes in Persons With Chronic Pain Following Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project.

OBJECTIVE: To examine the relationship between extreme pain phenotypes (interference and improvement) and psychosocial outcomes among those with chronic pain after traumatic brain injury (TBI). SETTING: Community. PARTICIPANTS: In total, 1762 TBI Model Systems (TBIMS) participants 1 to 30 years postinjury reporting chronic pain. DESIGN: Multisite, cross-sectional, observational cohort study. PRIMARY MEASURES: Life satisfaction, posttraumatic stress, depression and anxiety symptoms, sleep and participation, the Brief Pain Inventory (BPI) interference scale, and the Patient's Global Impression of Change (PGIC). RESULTS: Persons in the extreme high interference phenotype (vs extreme low interference phenotype) and/or extreme no change phenotype (vs extreme improvement phenotype) had poorer psychosocial outcomes, with extreme pain interference phenotypes having a larger effect on outcomes than extreme perceived improvement phenotypes. After controlling for covariates, large effect sizes (ES) related to pain interference were observed for posttraumatic stress symptoms (ES = -1.14), sleep quality (ES = -1.10), depression (ES = -1.08), anxiety (ES = -0.82), and life satisfaction (ES = 0.76); effect sizes for participation outcomes, although significant, were relatively small (ES = 0.21-0.36). Effect sizes related to perceived improvement were small for life satisfaction (ES = 0.20) and participation (ES = 0.16-0.21) outcomes. Pain intensity was identified as a meaningful confounding factor of the relationships between extreme phenotypes and posttraumatic stress, depression, anxiety, and sleep quality. CONCLUSIONS: Examination of extreme phenotypes provides important insights into the experience of individuals living with chronic pain and TBI. Results suggest that the relationships among a variety of characteristics of the person, their experience with pain, and treatment of pain are complex. Further research is needed to better understand these complex relationships and how differences in pain interference and perceived improvement from treatment can assist in assessment and treatment of chronic pain after TBI.

Characterizing Extreme Phenotypes for Pain Interference in Persons With Chronic Pain Following Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project.

OBJECTIVE: To define and characterize extreme phenotypes based on pain interference for persons with chronic pain following traumatic brain injury (TBI). SETTING: Eighteen Traumatic Brain Injury Model System (TBIMS) Centers. PARTICIPANTS: A total of 1762 TBIMS participants 1 to 30 years post-injury reporting chronic pain at their most recent follow-up interview. PRIMARY MEASURES: The Brief Pain Inventory (BPI) interference scale, sociodemographic, injury, functional outcome, pain, and treatment characteristics. RESULTS: Participants were predominantly male (73%), White (75%), middle-aged (mean 46 years), and who were injured in motor vehicle accidents (53%) or falls (20%). Extreme phenotypes were identified based on upper and lower 25th percentiles to create low-interference ( n = 441) and high-interference ( n = 431) extreme phenotypes. Bivariate comparisons found several sociodemographic, injury, function, pain, and treatment differences between extreme phenotype groups, including significant differences ( P < .001) on all measures of concurrent function with those in the low-interference extreme phenotype experiencing better function than those in the high-interference extreme phenotype. Lasso regression combined with logistic regression identified multivariable predictors of low- versus high-interference extreme phenotypes. Reductions in the odds of low- versus high-interference phenotypes were significantly associated with higher pain intensity (odds ratio [OR] = 0.33), having neuropathic pain (OR = 0.40), migraine headache (OR = 0.41), leg/feet pain (OR = 0.34), or hip pain (OR = 0.46), and more pain catastrophizing (OR = 0.81). CONCLUSION: Results suggest that for those who experience current chronic pain, there is high variability in the experience and impact of pain. Future research is needed to better understand how pain experience impacts individuals with chronic pain and TBI given that pain characteristics were the primary distinguishing factors between phenotypes. The use of extreme phenotypes for pain interference may be useful to better stratify samples to determine efficacy of pain treatment for individuals with TBI.

Characterizing Extreme Phenotypes for Perceived Improvement From Treatment in Persons With Chronic Pain Following Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project.

OBJECTIVE: To define and characterize extreme phenotypes based on perceived improvement in pain for persons with chronic pain following traumatic brain injury (TBI). SETTING: Eighteen Traumatic Brain Injury Model System (TBIMS) Centers. PARTICIPANTS: A total of 1762 TBIMS participants 1 to 30 years post-injury reporting chronic pain at their most recent follow-up interview. PRIMARY MEASURES: The Patient's Global Impression of Change (PGIC) related to pain treatment. Sociodemographic, injury, functional outcome, pain, and pain treatment characteristics. RESULTS: Participants were mostly male (73%), White (75%), middle-aged (mean 46 years), injured in motor vehicle accidents (53%), or falls (20%). Extreme phenotypes were created for an extreme improvement phenotype ( n = 512, 29.8%) defined as "moderately better" or above on the PGIC and an extreme no-change group ( n = 290, 16.9%) defined as no change or worse. Least absolute shrinkage and selection operator (LASSO) regression combined with logistic regression identified multivariable predictors of improvement versus no-change extreme phenotypes. Higher odds of extreme improvement phenotype were significantly associated with being female (odds ratio [OR] = 1.85), married versus single (OR = 2.02), better motor function (OR = 1.03), lower pain intensity (OR = 0.78), and less frequent pain, especially chest pain (OR = 0.36). Several pain treatments were associated with higher odds of being in the extreme improvement versus no-change phenotypes including pain medication (OR = 1.85), physical therapy (OR = 1.51), yoga (OR = 1.61), home exercise program (OR = 1.07), and massage (OR = 1.69). CONCLUSION: Investigation of extreme phenotypes based on perceived improvement with pain treatment highlights the ability to identify characteristics of individuals based on pain treatment responsiveness. A better understanding of the biopsychosocial characteristics of those who respond and do not respond to pain treatments received may help inform better surveillance, monitoring, and treatment. With further research, the identification of risk factors (such as pain intensity and frequency) for treatment response/nonresponse may provide indicators to prompt changes in care for individuals with chronic pain after TBI.

Associations of Chronic Pain With Psychosocial Outcomes After Traumatic Brain Injury: A NIDILRR and VA TBI Model Systems Collaborative Project.

OBJECTIVE: To examine the differences in participation, life satisfaction, and psychosocial outcomes among individuals with traumatic brain injury (TBI) endorsing current, past, or no chronic pain. SETTING: Community. PARTICIPANTS: Three thousand eight hundred four TBI Model Systems participants 1 to 30 years of age postinjury classified into 1 of 3 groups based on their pain experience: current pain, past pain, no pain completed a Pain Survey at their usual follow-up appointment which on average was approximately 8 years postinjury. DESIGN: Multisite, cross-sectional observational cohort study. MAIN OUTCOME MEASURES: Sociodemographic and injury characteristics and psychosocial outcomes (ie, satisfaction with life, depression, anxiety, posttraumatic stress disorder [PTSD], sleep quality, community participation). RESULTS: Persons with current chronic pain demonstrated higher scores on measures of PTSD, anxiety, and depression, and the lower scores on measures of sleep quality, community participation and satisfaction with life. Those with resolved past pain had mean scores for these outcomes that were all between the current and no chronic pain groups, but always closest to the no pain group. After adjusting for sociodemographic and function in multivariate analysis, having current chronic pain was associated with more negative psychosocial outcomes. The largest effect sizes (ES; in absolute value) were observed for the PTSD, depression, anxiety, and sleep quality measures (ES = 0.52-0.81) when comparing current pain to past or no pain, smaller ES were observed for life satisfaction (ES = 0.22-0.37) and out and about participation (ES = 0.16-0.18). When comparing past and no pain groups, adjusted ES were generally small for life satisfaction, PTSD, depression, anxiety, and sleep quality (ES = 0.10-0.23) and minimal for participation outcomes (ES = 0.02-0.06). CONCLUSIONS: Chronic pain is prevalent among individuals with TBI and is associated with poorer psychosocial outcomes, especially for PTSD, depression, anxiety, and sleep disturbance. The results from this study highlight the presence of modifiable comorbidities among those with chronic pain and TBI. Persons who experience persistent pain following TBI may be at greater risk for worse psychosocial outcomes.

Characterization and Treatment of Chronic Pain After Traumatic Brain Injury-Comparison of Characteristics Between Individuals With Current Pain, Past Pain, and No Pain: A NIDILRR and VA TBI Model Systems Collaborative Project.

OBJECTIVE: To estimate the prevalence of chronic pain after traumatic brain injury (TBI) and identify characteristics that differ from those without chronic pain. SETTING: Community. PARTICIPANTS: A total of 3804 TBI Model Systems (TBIMS) participants who completed the Pain Survey at TBIMS follow-up. DESIGN: A multisite, cross-sectional observational cohort study. MAIN OUTCOME MEASURES: Functional outcomes, pain experience, and treatment. RESULTS: 46% reported current chronic pain, 14% reported past (post-injury) chronic pain, and 40% reported no chronic pain. Bivariate differences in sociodemographic and injury characteristics between the 3 pain groups were generally small in effect size, reflecting little clinical difference. However, medium effect sizes were seen for all functional outcomes, such that individuals with current chronic pain had worse functional outcomes compared with individuals in the past pain or no pain groups. Treatment utilization rates were higher for individuals with current chronic pain compared with past pain, with medical treatments being most frequently utilized. Individuals with past pain perceived more improvement with treatment than did those with current chronic pain as represented by a large effect size. CONCLUSIONS: Chronic pain affects approximately 60% of those living with TBI. The implications of chronic pain for functional outcomes support inclusion of pain metrics in prognostic models and observational studies in this population. Future research is needed to proactively identify those at risk for the development of chronic pain and determine the efficacy and access to pain treatment.

Life Expectancy of 1-Year Survivors of Traumatic Brain Injury, 1988-2019: Updated Results From the TBI Model Systems.

OBJECTIVE: To update the life expectancy estimates according to age, sex, mobility, and feeding skills reported in the 2015 study of Brooks et al. To examine trends in survival over the past decade. DESIGN: Observational cohort study. SETTING: Poisson regression and life table analysis applied to long-term follow-up data on United States (US) Traumatic Brain Injury (TBI) Model Systems patients recorded in the national database. Functional mobility and feeding skills were assessed with FIM. PARTICIPANTS: A total of 14,803 persons with TBI during the years 1988-2019 who underwent inpatient rehabilitation and provided at least 1 long-term assessment of functional skills 1 year or more postinjury (N=14,803). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Survival, mortality rates, and life expectancy. RESULTS: Life expectancy was lower than that of the age- and sex-matched general population. Older age and severity of functional impairments were risk factors for mortality (both P<.0001 in regression models). Among ambulatory individuals, mortality was 51% (95% confidence interval, 35%-69%) higher in men than women. Life expectancy of 20-year-old women who walked well (FIM ambulation score 7) was 55 (SE=0.8) additional years to age 75, representing a reduction of 6.9 years from the normal general population figure. For 20-year-old men who walked well, the life expectancy was 49 (SE=0.5) additional years, representing a reduction of 8.1 years from normal. Life expectancies for men and women who did not walk and were fed by others were much lower. There was no significant change in mortality rates during the study period (hazard ratio, 1.008; P=.07). CONCLUSIONS: There has been no significant change in the long-term survival of persons with TBI in the US since the late 1980s. The life expectancies reported here are similar to those reported in the 2015 study of Brooks et al, although they are more precise because of the larger sample size and longer follow-up.

Enhancing Self-Advocacy After Traumatic Brain Injury: A Randomized Controlled Trial.

OBJECTIVE: To evaluate the efficacy of a novel intervention aimed at enhancing self-advocacy in individuals living with traumatic brain injury (TBI). SETTING: Community. PARTICIPANTS: Sixty-seven (35 allocated to treatment, 32 to control) community-dwelling adults 9 months or more post-TBI (mean of 8.9 years postinjury); previously discharged from inpatient or outpatient TBI rehabilitation; able to travel independently in the community, indicating a level of independence needed to engage in self-advocacy. DESIGN: Longitudinal randomized 2-arm controlled trial (NCT no. 03385824). Computer-generated block randomization allocated participants to treatment/intervention or control/no-intervention. All outcome assessments completed by blinded study staff. INTERVENTION: A manualized group intervention, Self-Advocacy for Independent Life (SAIL), addressing the self-efficacy beliefs, knowledge, and skills for self-advocacy following TBI. MAIN OUTCOME MEASURES: The Self-Advocacy Scale (SAS) (primary); General Self-Efficacy Scale (GSE); Personal Advocacy Activity Scale (PAAS); Satisfaction With Life Scale (SWLS). RESULTS: The treatment group showed significantly greater improvement than controls from baseline to posttreatment on the primary measure (SAS) of self-efficacy specific to self-advocacy after TBI (effect size = 0.22). Similar improvements were found on secondary measures of general self-efficacy and satisfaction with life from baseline to posttreatment. However, significant between-groups gains for primary and secondary measures were not maintained over 6- and 12-week follow-up. CONCLUSIONS: Individuals living with chronic TBI sequelae can increase self-efficacy specific to self-advocacy, general self-efficacy, and satisfaction with life, through a TBI-specific intervention aimed at empowering individuals to advocate for their own needs and wishes. Sustaining gains over time may require ongoing community collaboration and support. This could involve community-based systems of self-advocacy education, resources, and peer support.

Stroke systems of care in low-income and middle-income countries: challenges and opportunities.

The burden of stroke is higher in low-income and middle-income countries (LMICs) than in high-income countries and is rising. Even though there are global policies and guidelines for implementing stroke care, there are many challenges in setting up stroke services in LMICs. Despite these challenges, there are many models of stroke care available in LMICs-eg, multidisciplinary team care led by a stroke neurologist, specialist-led care by neurologists, physician-led care, hub and spoke models incorporating stroke telemedicine (ie, telestroke), and task sharing involving community health workers. Alternative strategies have been developed, such as reorganising the existing hospital infrastructure by training health professionals to implement protocol-driven care. The future challenge is to identify what elements of organised stroke care can be implemented to make the largest gain. Simple interventions such as swallowing assessments, bowel and bladder care, mobility assessments, and consistent secondary prevention can prove to be key elements to improving post-discharge morbidity and mortality in LMICs.

Outcomes 1 and 2 Years After Moderate to Severe Traumatic Brain Injury: An International Comparative Study.

OBJECTIVE: This study compared traumatic brain injury (TBI) outcomes from 2 cohorts: the National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems (TBIMS) in the United States and Longitudinal Head Injury Outcome Study conducted in Victoria, Australia, by the Monash Epworth Rehabilitation Research Centre (MERRC). DESIGN: Cohort study with 1- and 2-year follow-up. SETTING: Acute trauma care and inpatient rehabilitation with follow-up. PARTICIPANTS: Patients (N=1056) with moderate-severe TBI admitted in 2000-2012 to inpatient rehabilitation after motor vehicle-related collisions, who completed follow-up, were matched using 1:2 matching algorithm based on age at injury, days of posttraumatic amnesia, and years education, resulting in groups of 352 (MERRC) and 704 patients (TBIMS). INTERVENTION: The cohorts had received acute trauma care and inpatient rehabilitation for a median 38 (MERRC) or 33 days (TBIMS). The MERRC group also had routine access to community-based support and rehabilitation for return to work or school, attendant care, and home help as justified, funded by an accident compensation system, whereas the TBIMS cohort had variable access to these services. MAIN OUTCOME MEASURES: Outcomes were assessed 1 and 2 years post injury in terms of employment, living situation, marital status, and Glasgow Outcome Scale-Extended (GOS-E) scores. RESULTS: At 2 years post injury, MERRC participants were more likely to be competitively employed. At both 1 and 2 years post injury, MERRC participants were more likely to be married and living independently. On GOS-E, the TBIMS group had higher percentages of patients in Lower Severe Disability/Vegetative State and Upper Good Recovery than MERRC participants, whereas the MERRC cohort had higher percentages of Lower Moderate Disability than TBIMS. CONCLUSIONS: Findings may suggest that routine provision of community-based supports could confer benefits for long-term TBI outcomes. Further studies documenting rehabilitation services are needed to explore this.

Volunteering and its association with participation and life satisfaction following traumatic brain injury.

Background: Volunteering has been found to improve life satisfaction and participation in the general population, but its impact has not been thoroughly studied among those with traumatic brain injury (TBI). It is important to investigate whether volunteering is helpful in addressing participation and life satisfaction to inform future treatment.Objective: To characterize those who volunteer after moderate-severe TBI and to investigate the association of volunteering with participation and life satisfaction after TBI.Methods: Using data from a single site contributing to the TBI Model Systems National Database, a retrospective analysis of 725 individuals with TBI was conducted. General Linear Models were used to compare outcomes of those who volunteer and those who do not after controlling for important covariates.Results: Volunteers were more likely to be employed/students, have better current functioning, be further post-injury, non-Hispanic white, and have more education. Significant relationships, after controlling for covariates, were found between volunteering and higher life satisfaction, more frequent community engagement, and greater social relations. No significant relationship between volunteering and productivity emerged.Conclusions: Given the positive relationship between volunteer status with life satisfaction and aspects of participation, future research should investigate the barriers/facilitators of volunteering to improve well-being and participation after TBI.

Improving well-being after traumatic brain injury through volunteering: a randomized controlled trial.

OBJECTIVE: To evaluate the efficacy of a novel intervention facilitating volunteer activity to improve well-being in individuals with traumatic brain injury (TBI). DESIGN: Randomized two-arm controlled trial, with a wait-list control condition (ClinicalTrials.gov NCT#01728350). SETTING: Community-based setting. PARTICIPANTS: Seventy-four community-dwelling individuals at least 1-year post TBI, who had completed inpatient or outpatient TBI rehabilitation. INTERVENTIONS: A novel intervention, HOPE - Helping Others through Purpose and Engagement, involving orientation/training and a 3-month volunteer placement for the participant, along with training for community agencies regarding TBI. MAIN OUTCOME MEASURE(S: ): Satisfaction With Life Scale (SWLS); Flourishing Scale (FS); Brief Symptom Inventory-18 (BSI-18); Scale of Positive and Negative Experience (SPANE); Purpose in Life subscale (one of six in the Ryff Scale of Psychological Well-Being - 54 item version). RESULTS: There were significantly greater improvements in life satisfaction (SWLS) and self-perceived success (FS) in the intervention group compared to the control group. There were no significant treatment effects on the additional secondary measures of well-being, although they trended in a positive direction. CONCLUSIONS: This study supports our primary hypothesis that individuals who take part in a volunteer intervention will demonstrate greater psychological well-being in comparison to a control group.

Results From a Randomized Controlled Trial to Address Balance Deficits After Traumatic Brain Injury.

OBJECTIVE: To evaluate the efficacy of an in-home 12-week physical therapy (PT) intervention that utilized a virtual reality (VR) gaming system to improve balance in individuals with traumatic brain injury (TBI). SETTING: Home-based exercise program (HEP). PARTICIPANTS: Individuals (N=63; traditional HEP n=32; VR n=31) at least 1 year post-TBI, ambulating independently within the home, not currently receiving PT services. MAIN OUTCOME MEASURES: Primary: Community Balance and Mobility Scale (CB&M); Secondary: Balance Evaluation Systems Test (BESTest), Activities-Specific Balance Confidence Scale (ABC), Participation Assessment with Recombined Tools-Objective (PART-O). RESULTS: No significant between-group differences were observed in the CB&M over the study duration (P=.9983) for individuals who received VR compared to those who received a HEP to address balance deficits after chronic TBI nor in any of the secondary outcomes: BESTest (P=.8822); ABC (P=.4343) and PART-O (P=.8822). However, both groups demonstrated significant improvements in CB&M and BESTest from baseline to 6, 12, and at 12 weeks follow-up (all P's <.001). Regardless of treatment group, 52% of participants met or exceeded the minimal detectable change of 8 points on the CB&M at 24 weeks and 38% met or exceeded the minimal detectable change of 7.81 points on the BESTest. CONCLUSION: This study did not find that VR training was more beneficial than a traditional HEP for improving balance. However, individuals with chronic TBI in both treatment groups demonstrated improvements in balance in response to these interventions which were completed independently in the home environment.

Using Decision Tree Methodology to Predict Employment After Moderate to Severe Traumatic Brain Injury.

OBJECTIVE: To build decision tree prediction models for long-term employment outcomes of individuals after moderate to severe closed traumatic brain injury (TBI) and assess model accuracy in an independent sample. SETTING: TBI Model Systems Centers. PARTICIPANTS: TBI Model Systems National Database participants injured between January 1997 and January 2017 with moderate to severe closed TBI. Sample sizes were 7867 (year 1 postinjury), 6783 (year 2 postinjury), and 4927 (year 5 postinjury). DESIGN: Cross-sectional analyses using flexible classification tree methodology and validation using an independent subset of TBI Model Systems National Database participants. MAIN MEASURES: Competitive employment at 1, 2, and 5 years postinjury. RESULTS: In the final employment prediction models, posttraumatic amnesia duration was the most important predictor of employment in each outcome year. Additional variables consistently contributing were age, preinjury education, productivity, and occupational category. Generally, individuals spending fewer days in posttraumatic amnesia, who were competitively employed preinjury, and more highly educated had better outcomes. Predictability in test data sets ranged from a C-statistic of 0.72 (year 5; confidence interval: 0.68-0.76) to 0.77 (year 1; confidence interval: 0.74-0.80). CONCLUSION: An easy-to-use decision tree tool was created to provide prognostic information on long-term competitive employment outcomes in individuals with moderate to severe closed TBI. Length of posttraumatic amnesia, a clinical marker of injury severity, and preinjury education and employment status were the most important predictors.

Balance in chronic traumatic brain injury: correlations between clinical measures and a self-report measure.

OBJECTIVE: To assess associations among commonly used self-report and clinical measures of balance in chronic TBI. DESIGN: Cross-sectional analysis of balance in a convenience sample of individuals at least one year post TBI. MAIN OUTCOME MEASURES: Activities-Specific Balance Confidence Scale (ABC) (self-reported balance impairment), Community Balance and Mobility Scale (CB&M) (clinical measure validated in TBI), and Balance Evaluation Systems Test (BESTest) (clinical measure not validated in TBI). METHODS: Fifty-nine individuals (64% male, mean age 48.2 years) ambulating independently within the home participated in testing. Pearson correlation coefficients were used to quantify the direction and magnitude of the relationships among the three balance impairment measures. RESULTS: A significant positive correlation was noted between the ABC and CB&M (r = 0.42, p = 0.0008), between the ABC and BESTest (r = 0.46, p = 0.0002), and between the CB&M and BESTest (r = 0.86, p < 0.0001). CONCLUSIONS: This is the first study we are aware of in the chronic moderate to severe TBI population directly comparing patient's self-reported balance impairment with clinical measures. Positive correlations were found between the self-report measure and both clinical measures. Overall, individuals with chronic TBI tend to self-report less impaired balance than clinical measures indicate. These results provide preliminary evidence to support the need for validation of the BESTest in this population. ABBREVIATIONS: ABC: Activities-specific balance confidence scale; BESTest: balance evaluation systems test; BOS: base of support; COM: center of mass; CB&M: community balance and mobility scale; CI: confidence interval; IQR: interquartile range; PTs: physical therapists; SD: standard deviation; SE: standard error; TBI: traumatic brain injury.

Social Competence Treatment After Traumatic Brain Injury: A Multicenter, Randomized Controlled Trial of Interactive Group Treatment Versus Noninteractive Treatment.

OBJECTIVE: To evaluate the effectiveness of a replicable group treatment program for improving social competence after traumatic brain injury (TBI). DESIGN: Multicenter randomized controlled trial comparing 2 methods of conducting a social competency skills program, an interactive group format versus a classroom lecture. SETTING: Community and veteran rehabilitation centers. PARTICIPANTS: Civilian, military, and veteran adults with TBI and social competence difficulties (N=179), at least 6 months postinjury. INTERVENTIONS: The experimental intervention consisted of 13 weekly group interactive sessions (1.5h) with structured and facilitated group interactions to improve social competence, and the control consisted of 13 traditional classroom sessions using the same curriculum with brief supplemental individual sessions but without structured group interaction. MAIN OUTCOME MEASURES: Profile of Pragmatic Impairment in Communication (PPIC), an objective behavioral rating of social communication impairments after TBI. LaTrobe Communication Questionnaire (LCQ), Goal Attainment Scale (GAS), Satisfaction with Life Scale, Posttraumatic Stress Disorder Checklist-C (PCL) civilian version, Brief Symptom Inventory 18 (BSI-18), Scale of Perceived Social Self-Efficacy (PSSE). RESULTS: Social competence goals (GAS) were achieved and maintained for most participants regardless of treatment method. Significant improvements in the primary outcome (PPIC) and 2 of the secondary outcomes (LCQ and BSI) were seen immediately posttreatment and at 3 months posttreatment in the alternative treatment arm only; however, these improvements were not significantly different between the group interactive structured treatment and alternative treatment arms. Similar trends were observed for PSSE and PCL-C. CONCLUSIONS: Social competence skills improved for persons with TBI in both treatment conditions. The group interactive format was not found to be a superior method of treatment delivery in this study.

Thirty Years of National Institute on Disability, Independent Living, and Rehabilitation Research Traumatic Brain Injury Model Systems Center Research-An Update.

The Traumatic Brain Injury Model Systems Center (TBIMSC) program was established by the National Institute on Disability, Independent Living, and Rehabilitation Research in 1987, with the goal of conducting research to improve the care and outcomes for individuals with moderate-to-severe traumatic brain injury (TBI). This article provides an update on TBIMSC research program activities since 2010 when a similar article was published. It includes (1) discussion of TBIMSC program management and infrastructure; (2) detail on the management, data quality, access, use, and knowledge translation of the TBIMSC National Database, with more than 16 000 participants with follow-up out to 25 years postinjury to date; (3) an overview of the TBIMSC site-specific studies and collaborative module research; (4) highlights of several collaborative initiatives between the TBIMSCs and other federal, advocacy, and research stakeholders; (5) an overview of the vast knowledge translation occurring through the TBIMSC program; and (6) discussion of issues that impact on the data collection methods for and contents of the TBIMSC National Database. On the occasion of the 30th anniversary of the TBIMSC program, this article highlights many of the accomplishments of this well-established, multicenter TBI research consortium.

Psychological well-being in individuals living in the community with traumatic brain injury.

BACKGROUND: Well-being and quality of life issues remain a long-term problem for many individuals with traumatic brain injury (TBI). Meaningful activity is key to developing life satisfaction and a sense of contribution to society, yet individuals with TBI are often unable to return to competitive employment. OBJECTIVE: To describe the self-reported psychological well-being of a cohort of unemployed individuals living in the community at least 1 year post TBI with low life satisfaction. METHODS: Seventy-four unemployed individuals with low life satisfaction at least 1 year post TBI were administered measures of psychological well-being and cognitive functioning. RESULTS: This cohort of 74 participants demonstrated cognitive impairment and elevated levels of emotional distress. Significant bivariate relationships were noted among nearly all measures of well-being, and associations were in the directions as expected. Individuals reported low life satisfaction and well-being. Two newer measures of well-being correlated with established measures used with this population. CONCLUSIONS: Individuals with TBI living in the community who are not employed but who seek to be productive reported low life satisfaction and well-being. This study highlights the need for interventions aimed at increasing productivity and meaning in life for individuals with TBI, and a broader understanding of psychological health after TBI.

Long-term survival after traumatic brain injury part I: external validity of prognostic models.

OBJECTIVES: To develop prognostic models for long-term survival in adults with traumatic brain injury (TBI) and to assess their external validity in 2 independent populations. DESIGN: Survival analysis. SETTING: Post-discharge from rehabilitation units and long-term follow-up at regional centers. PARTICIPANTS: Two cohorts of long-term survivors of TBI (N=12,481): the Traumatic Brain Injury Model Systems (TBIMS) cohort comprised 7365 persons who were admitted to a TBIMS facility and were assessed at ≥1 years postinjury, and the California Department of Developmental Services (CDDS) cohort comprised 5116 persons who sustained a TBI and received long-term services from the CDDS. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Survival/mortality. RESULTS: Older age, male sex, and severity of disability in walking and feeding were significant predictors of increased long-term mortality rates (all P<.05, both databases). The CDDS model predicted 623 deaths for persons in the TBIMS cohort, with an observed-to-expected ratio of .94 (95% confidence interval [CI], 0.87-1.02). The TBIMS model predicted a total of 525 deaths for persons in the CDDS cohort, with an observed-to-expected ratio of 1.08 (95% CI, 0.99-1.17). Regression calibration statistics were satisfactory, and both models ranked survival times well from shortest to longest (TBIMS: C index, .78; 95% CI, .76-.80; CDDS: C index, .80; 95% CI, .78-.82). CONCLUSIONS: Long-term survival prognosis in TBI is related to age, sex, and severity of disability. When compared on the basis of these factors, the survival estimates derived from the TBIMS and CDDS cohorts are found to be similar. The close agreement between model predictions and actual mortality rates confirm the external validity of the prognostic models presented herein.

Long-Term Survival After Traumatic Brain Injury Part II: Life Expectancy.

OBJECTIVES: To compute the life expectancy of persons with traumatic brain injury (TBI) based on validated prognostic models from 2 cohorts, to compare mortality and life expectancy of persons with TBI with those of the U.S. general population, and to investigate trends toward improved survival over the last 2 decades. DESIGN: Survival analysis. SETTING: Postdischarge from rehabilitation units and long-term follow-up at regional centers. PARTICIPANTS: Two cohorts of long-term survivors of TBI (N=12,481): the Traumatic Brain Injury Model Systems (TBIMS) cohort comprised 7365 persons who were admitted to a TBIMS facility with moderate to severe TBI and were assessed at ≥1 years postinjury, and the California Department of Developmental Services (CDDS) cohort comprised 5116 persons who sustained a TBI and received long-term services from the CDDS. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Life expectancy. RESULTS: The estimates of age-, sex-, and disability-specific life expectancy of persons with TBI derived from the CDDS and TBIMS were similar. The estimates of age- and sex-specific life expectancy were lower than those of the U.S. general population. Mortality rates of persons with TBI were higher than those of the U.S. general population. Mortality rates did not improve and the standardized mortality ratio increased over the study period from 1988 to 2010. CONCLUSIONS: Life expectancy of persons with TBI is lower than that of the general population and depends on age, sex, and severity of disability. When compared, the survival outcomes in the TBIMS and CDDS cohorts are remarkably similar. Because there have been no marked trends in the last 20 years, the life expectancies presented in this article may remain valid in the future.