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.

Caregiver resilience following traumatic brain injury: Findings at six months postinjury.

PURPOSE/OBJECTIVE: Examine contributors to resilience among caregivers of individuals who have sustained a moderate-to-severe traumatic brain injury (TBI), with the goal of identifying important targets for an intervention to improve caregiver resilience as well as outcomes for people with TBI. RESEARCH METHOD/DESIGN: Participants were adult caregivers (n = 176) and individuals with TBI who required inpatient rehabilitation at six TBI Model System sites. Measures included the Connor-Davidson Resilience Scale-10, Family Needs Questionnaire, Zarit Burden Interview, Patient Health Questionnaire-9, and Generalized Anxiety Disorder-7. Data were collected between September 2018 and June 2021. RESULTS: Caregivers endorsed levels of personal resilience that were comparable to norms for community samples and slightly higher than groups under stress or with medical illness. Reports of the burden associated with the caregiving role were relatively low, as was reported psychological distress. In a multivariable model, higher proportions of met emotional support needs were associated with increased resilience. CONCLUSIONS/IMPLICATIONS: Resilience may be strengthened by emotional support networks, including friends or family who may not already be directly involved in the provision of care. Supporting engagement with community agencies, peer mentors, or other informal resources within the family system that provide emotional support may bolster resilience outcomes for caregivers. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Traumatic brain injury as a chronic disease: insights from the United States Traumatic Brain Injury Model Systems Research Program.

Traumatic brain injury (TBI) is a global health priority, associated with substantial burden. Historically conceptualised as an injury event with finite recovery, TBI is now recognised as a chronic condition that can affect multiple domains of health and function, some of which might deteriorate over time. Many people who have had a TBI remain moderately to severely disabled at 5 years, are rehospitalised up to 10 years post-injury, and have a reduced lifespan relative to the general population. Understanding TBI as a chronic disease process can be highly informative for optimising care, which has traditionally focused on acute care. Chronic brain injury care models must be informed by a holistic understanding of long-term outcomes and the factors that can affect how care needs evolve over time. The United States Traumatic Brain Injury Model Systems of Care follows up individuals with moderate-to-severe TBI for over 30 years, allowing characterisation of the chronic (2-30 years or more post injury) functional, cognitive, behavioural, and social sequelae experienced by individuals who have had a moderate-to-severe TBI and the implications for their health and quality of life. Older age, social determinants of health, and lower acute functional status are associated with post-recovery deterioration, while younger age and greater functional independence are associated with risky health behaviours, including substance misuse and re-injury. Systematically collected data on long-term outcomes across multiple domains of health and function are needed worldwide to inform the development of models for chronic disease management, including the proactive surveillance of commonly experienced health and functional challenges.

Scoping Review of Opioid Use After Traumatic Brain Injury.

OBJECTIVE: To summarize the current literature to identify what research has been conducted, examine the approaches used, and determine what is presently known about prescription and nonprescription opioid receipts and use among individuals with traumatic brain injury (TBI). DATA SOURCES: The search strategy included the following: opioid; opiate; analgesics, opioid; opiate alkaloids; or opioid-related disorders; AND brain injury; brain injuries; brain injuries, traumatic; head injury; head injuries; head injuries, closed; head injuries, penetrating; brain concussion; diffuse axonal injury; diffuse axonal injuries; brain trauma/s; head trauma/s; concussion; craniocerebral trauma/s; or TBI. Filters included English and Adults (19+ years). Study Selection: Inclusion: English language, adults with stable TBI, and prescription opioid receipt or use after TBI. Exclusion: Animal models, populations with other acquired brain injury, acute TBI management, and non-peer-reviewed articles, theses, or conference abstracts. Multiple reviewers screened abstracts and full-text articles for eligibility. In total, 771 abstracts were screened, 183 full texts were reviewed, and 21 met eligibility criteria. Data Extraction: Relevant content was independently extracted by multiple observers, including authors, design, sample identification and data source/s, TBI severity, TBI assessment, opioid assessment, study population (demographics, N), military affiliation, comparison groups, date of data collection, and summary of findings. RESULTS: Studies were published between 1987 and 2019; most data were collected prior to 2015. The majority utilized administrative and electronic medical record data from the Department of Veterans Affairs and retrospective cohort designs, and most focused on prescription opioids. There were no studies evaluating interventions to reduce use of opioids in TBI populations. Preliminary findings suggest that prescription opioid receipt is strongly related to psychological symptoms, including comorbid depression, anxiety, and posttraumatic stress disorder. CONCLUSIONS: Despite increased awareness of opioid receipt and use following TBI, there is limited investigation on the examination of this issue. Future studies should include more varied patient populations as well as evaluate interventions to reduce opioid use following TBI.

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.

Characterizing Comorbid Cerebrovascular Insults Among Patients With TBI at a TBI Model Systems Rehabilitation Center.

OBJECTIVE: Determine incidence and predictors of comorbid cerebrovascular injuries in patients with moderate to severe traumatic brain injury (TBI) and whether it influences rehabilitation outcomes. SETTING: Inpatient Rehabilitation Facility (IRF) brain injury unit participating in NIDILRR TBI Model Systems (TBIMS). PARTICIPANTS: A total of 663 patients with moderate to severe TBI. DESIGN: Observational study with prospective and retrospective data collection. MAIN MEASURES: New traumatic cerebral artery injury (TCAI) lesions of head/neck and new cerebral infarcts (CIs) abstracted from neuroimaging reports and clinical notes. RESULTS: The incidence of comorbid CI was 8%, among whom 19% also had TCAI identified. The incidence of TCAI increased over time from 2% before 2008 to 10% after, probably from greater screening. Both CI and TCAI were associated with longer acute care stay. Cerebral infarct was also associated with longer posttraumatic amnesia and lower rate of functional gains. CONCLUSIONS: Using in-depth abstraction of imaging findings, the incidence of traumatic head/neck artery injuries, and CIs in patients with moderate to severe TBI were both higher than a recent TBIMS-wide study utilizing ICD coding. Cerebral infarct was associated with longer posttraumatic amnesia duration and slower functional gains. Further research is recommended on the outcome implications of concomitant cerebrovascular injury in patients with TBI.

Evaluation of a Brief, Skill-Building, Supportive, and Educational Intervention for Couples After Brain Injury.

OBJECTIVE: To examine the effectiveness of an intervention (Therapeutic Couples Intervention, TCI) designed to improve relationship quality for couples after acquired brain injury. SETTING: Outpatient brain injury rehabilitation center. PARTICIPANTS: Persons with brain injury (n = 75) and their intimate partners (n = 75). DESIGN: Two-arm parallel, randomized, controlled trial with wait-listed control. METHODS: Composed of 5 to 6 2-hour sessions, the TCI is a manualized, treatment program designed to enhance relationship quality by addressing issues and concerns most often identified by persons with brain injury and their partners. MAIN MEASURE: Revised Dyadic Adjustment Scale completed by the persons with brain injury and their partners. RESULTS: Persons with brain injury and their partners in the treatment group showed an improvement in relationship quality, both compared with their own baseline values and the control group. CONCLUSIONS: Investigation provided evidence that a curriculum-based education, skill-building, and supportive intervention can benefit couples for up to 3 months after treatment. Additional research is needed to ascertain the long-term benefits of intervention and the efficacy of alternative delivery methods (eg, Internet, telephone, and group).

Can a couples' intervention reduce unmet needs and caregiver burden after brain injury?

OBJECTIVE: To examine the effectiveness of the Therapeutic Couples Intervention (TCI) on caregiver needs and burden after brain injury. RESEARCH METHOD: Individuals with brain injury and their intimate partners/caregivers (n = 75) participated in a 2-arm, parallel, randomized trial with a waitlist control. The TCI consisted of 5 2-hr sessions, with a sixth optional session for parents. The Family Needs Questionnaire-R (FNQ-R) and the Zarit Burden Interview (ZBI) were secondary outcome measures. RESULTS: After adjusting for baseline characteristics, caregivers in the TCI group demonstrated reduction in unmet needs for 5 of the 6 FNQ-R subscales, whereas those in the waitlist control group did not. ZBI scores improved significantly for TCI caregivers but not for controls. At the 3-month follow-up, benefits were maintained for the ZBI and 4 of the 6 FNQ-R subscales (Health Information, Emotional Support, Professional Support, and Community Support Network). CONCLUSIONS: The present investigation provided evidence that, following brain injury, a structured couples intervention can reduce unmet needs and burden in caregivers. Future multicenter research examining long-term durability of treatment gains and specific characteristics of positive responders is warranted. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Depression as a Predictor of Long-term Employment Outcomes Among Individuals With Moderate-to-Severe Traumatic Brain Injury.

OBJECTIVE: To examine the predictive ability of depression when considering long-term employment outcomes for individuals with moderate-to-severe traumatic brain injury (TBI) after controlling for key preinjury and injury-related variables. DESIGN: Secondary data analysis. SETTING: Community follow-up after discharge from an inpatient rehabilitation center. PARTICIPANTS: Individuals between 18 and 60 years old with moderate-to-severe TBI enrolled in the Traumatic Brain Injury Model Systems database. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Employment status. RESULTS: The prevalence of employment at 2 and 5 years post injury was 40.3% and 44.5%, respectively. Individuals identified as depressed at 1 year were more likely to be unemployed at 2 years post injury (odds ratio [OR], 1.77; 95% CI, 1.38-2.27; P<.0001). Similar relations between current depression and future employment were observed from 1- and 2-year depression status predicting 5-year employment (1-year: OR, 1.88; 95% CI, 1.48-2.40; P<.0001: 2-year: OR, 1.72; 95% CI, 1.36-2.17; P<.0001). CONCLUSIONS: After controlling for baseline predictors variables, the experience of postinjury depression-a modifiable condition-contributes predictive ability to future employment outcomes. Incorporating assessments and/or interventions for depression into postacute rehabilitation programs could promote favorable employment outcomes after TBI.

Outcome prediction from post-injury resilience in patients with TBI.

PURPOSE/OBJECTIVE: The objective of the study was to evaluate the extent to which 1- and 2-year outcomes after traumatic brain injury (TBI) are predicted by resilience. Research Method/Design: This was an observational, longitudinal study of persons (n = 158) with moderate or severe TBI who completed both 1- and 2-year outcome assessments. Outcomes included anxiety (Generalized Anxiety Disorder-7), depression (Patient Health Questionnaire-9), life satisfaction (Satisfaction with Life Scale), substance misuse, and return-to-work measures. The Connor-Davidson Resilience Scale was used to assess resilience at 3 or 6 months after injury. RESULTS: Greater resilience predicted less anxiety, depression, and substance use and better satisfaction with life and return to work at 1 year after injury for both adjusted and unadjusted models. Standardized regression coefficients were all greater than 0.38 for continuous outcomes, whereas odds ratios were 1.34 and 0.81 for the return to work and substance misuse outcomes, respectively (p < .05). Similar but weaker trends were found at 2 years after injury, with statistical significance no longer met for all outcomes. CONCLUSIONS/IMPLICATIONS: Resilience was shown to have predictive ability for outcomes at 1 and 2 years after TBI. Resilience appears to be a salient and important variable for long-term outcomes in person with TBI after adjusting for injury and demographic characteristics. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A Randomized Controlled Pilot Study of a Manualized Intervention for Caregivers of Patients With Traumatic Brain Injury in Inpatient Rehabilitation.

OBJECTIVE: Investigate effectiveness of a 5-session manualized intervention for addressing needs of caregivers of persons in acute traumatic brain injury (TBI) rehabilitation. DESIGN: Prospective, pilot randomized controlled trial. SETTING: Inpatient brain injury rehabilitation unit, level 1 trauma center. PARTICIPANTS: Patients (N=93) with moderate-to-severe TBI and their family members were enrolled in the study with 42 randomized to the treatment group, 51 to the control group. INTERVENTION: Five-session manualized caregiver intervention with educational, stress and anxiety self-management, coping, and emotional support components. MAIN OUTCOME MEASURES: Family Needs Questionnaire-Revised, knowledge assessment, Zarit Family Burden Scale, and Brief Symptom Inventory-18 were collected at pretreatment, posttreatment, and 3-month follow-up. RESULTS: Treatment group caregivers showed an increase in met needs for emotional, instrumental, and professional support, and brain injury knowledge from baseline to posttreatment, whereas controls did not. Between-group differences were significant for only emotional support needs. Treatment effects were not sustained at 3-month follow-up. CONCLUSIONS: Caregivers of persons undergoing acute TBI rehabilitation may benefit from interventions that target their unique needs. Caregivers may require additional and longer-term supports to sustain treatment benefits.

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.

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.

Efficacy of the resilience and adjustment intervention after traumatic brain injury: a randomized controlled trial.

OBJECTIVE: Examine a psychoeducational and skill-building intervention's effectiveness for individuals after traumatic brain injury (TBI), using a two-arm, parallel, randomized, controlled trial with wait-listed control. METHODS: The Resilience and Adjustment Intervention (RAI) targets adjustment challenges and emphasizes education, skill-building and psychological support. Overall, 160 outpatients were randomly assigned to a treatment or wait-list control (WLC) group. The manualized treatment was delivered in seven 1-h sessions. The Connor-Davidson Resilience Scale (CD-RISC) was the primary outcome measure. Secondary measures included the Mayo Portland Adaptability Inventory-4 (MPAI-4), Brief Symptom Inventory-18 (BSI-18) and 13-Item Stress Test. RESULTS: After adjusting for injury severity, education and time postinjury, the RAI group (N = 75) demonstrated a significantly greater increase in resilience (effect size = 1.03) compared to the WLC group (N = 73). Participants in the RAI group demonstrated more favourable scores on the MPAI-4 Adjustment and Ability Indices, BSI-18 and the 13-item Stress Test. However, only the CD-RISC and BSI-18 demonstrated a clinically significant difference. In addition, RAI participants demonstrated maintenance of gains from pre-treatment to 3-month follow-up; however, only the BSI-18 maintained a clinically significant difference. CONCLUSIONS: Investigation provided evidence that a resilience-focused intervention can improve psychological health and adjustment after TBI. Additional research is needed to ascertain the longer term benefits of intervention and the efficacy of alternative delivery methods (e.g., via telephone, Internet).

Family Needs on an Inpatient Brain Injury Rehabilitation Unit: A Quantitative Assessment.

OBJECTIVE: To examine the needs of family members in an inpatient setting and factors predicting extent to which needs are perceived as met. SETTING: University health system inpatient rehabilitation unit. PARTICIPANTS: Adult survivors of traumatic brain injury and family members (n = 85). DESIGN: Prospective, cross-sectional. MAIN MEASURE: Family Needs Questionnaire-Revised (FNQ-R). RESULTS: Needs related to the Health Information subscale were most frequently rated as met, whereas needs related to the Instrumental Support and Emotional Support subscales were most frequently rated as unmet. Predictors related to the FNQ-R included family income, gender, and ethnicity. For 4 of 6 subscales, white family members were more likely to rate needs as unmet than minority members. For 3 subscales, females were more likely to rate needs as unmet than males. Greater household income was associated with fewer met needs for 2 subscales. CONCLUSIONS: The ranking of met and unmet needs in the present study was remarkably similar to previous studies within and outside the United States. Clinicians should not assume that families with relatively higher incomes will experience fewer unmet needs. Through structured assessment, clinicians can reveal perceived needs that might have otherwise been unrecognized and facilitate appropriate supports. Findings provide direction for inpatient program development.

Predicting Long-Term Global Outcome after Traumatic Brain Injury: Development of a Practical Prognostic Tool Using the Traumatic Brain Injury Model Systems National Database.

For patients surviving serious traumatic brain injury (TBI), families and other stakeholders often desire information on long-term functional prognosis, but accurate and easy-to-use clinical tools are lacking. We aimed to build utilitarian decision trees from commonly collected clinical variables to predict Glasgow Outcome Scale (GOS) functional levels at 1, 2, and 5 years after moderate-to-severe closed TBI. Flexible classification tree statistical modeling was used on prospectively collected data from the TBI-Model Systems (TBIMS) inception cohort study. Enrollments occurred at 17 designated, or previously designated, TBIMS inpatient rehabilitation facilities. Analysis included all participants with nonpenetrating TBI injured between January 1997 and January 2017. Sample sizes were 10,125 (year-1), 8,821 (year-2), and 6,165 (year-5) after cross-sectional exclusions (death, vegetative state, insufficient post-injury time, and unavailable outcome). In our final models, post-traumatic amnesia (PTA) duration consistently dominated branching hierarchy and was the lone injury characteristic significantly contributing to GOS predictability. Lower-order variables that added predictability were age, pre-morbid education, productivity, and occupational category. Generally, patient outcomes improved with shorter PTA, younger age, greater pre-morbid productivity, and higher pre-morbid vocational or educational achievement. Across all prognostic groups, the best and worst good recovery rates were 65.7% and 10.9%, respectively, and the best and worst severe disability rates were 3.9% and 64.1%. Predictability in test data sets ranged from C-statistic of 0.691 (year-1; confidence interval [CI], 0.675, 0.711) to 0.731 (year-2; CI, 0.724, 0.738). In conclusion, we developed a clinically useful tool to provide prognostic information on long-term functional outcomes for adult survivors of moderate and severe closed TBI. Predictive accuracy for GOS level was demonstrated in an independent test sample. Length of PTA, a clinical marker of injury severity, was by far the most critical outcome determinant.

Longitudinal Examination of Resilience After Traumatic Brain Injury: A Traumatic Brain Injury Model Systems Study.

OBJECTIVES: To evaluate (1) the trajectory of resilience during the first year after a moderate-severe traumatic brain injury (TBI); (2) factors associated with resilience at 3, 6, and 12 months postinjury; and (3) changing relationships over time between resilience and other factors. DESIGN: Longitudinal analysis of an observational cohort. SETTING: Five inpatient rehabilitation centers. PARTICIPANTS: Patients with TBI (N=195) enrolled in the resilience module of the TBI Model Systems study with data collected at 3-, 6-, and 12-month follow-up. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURE: Connor-Davidson Resilience Scale. RESULTS: Initially, resilience levels appeared to be stable during the first year postinjury. Individual growth curve models were used to examine resilience over time in relation to demographic, psychosocial, and injury characteristics. After adjusting for these characteristics, resilience actually declined over time. Higher levels of resilience were related to nonminority status, absence of preinjury substance abuse, lower anxiety and disability level, and greater life satisfaction. CONCLUSIONS: Resilience is a construct that is relevant to understanding brain injury outcomes and has potential value in planning clinical interventions.

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

OBJECTIVE: Evaluate the test-retest reliability of measures that comprise the Traumatic Brain Injury Model Systems follow-up data set. PARTICIPANTS: A total of 224 persons with a moderate-severe traumatic brain injury (TBI) enrolled in the Traumatic Brain Injury Model Systems National Database. DESIGN: Following standard administration of the follow-up interview, a second interview was administered 14 to 28 days later using the same interviewer and the same mode of administration. MAIN MEASURES: Traumatic Brain Injury Model Systems follow-up interview that includes 66 variables comprised (a) single item measures of demographics; employment; general health as well as specific health conditions; rehospitalization; tobacco, alcohol, and other drug use; transportation; and mental health and (b) multi-item instruments: FIM; Participation Assessment With Recombined Tools-Objective; Disability Rating Scale; Glasgow Outcome Scale-Extended; Supervision Rating Scale; Satisfaction With Life Scale; TBI Quality of Life Anxiety and Depression items; and The Ohio State University TBI Identification Method. RESULTS: Intraclass correlation coefficient values ranged from 0.65 to 0.99, weighted kappa values ranged from 0.54 to 0.99, and kappa values ranged from 0.43 to 1.00. Four kappa/weighted kappa estimates fell below 0.60: arrested, psychiatric hospitalization, number of days not in good physical health, and rating of general emotional health. CONCLUSIONS: With few exceptions, good to excellent test-retest reliability estimates were obtained. The findings support the use of these measures in prior and future studies and indicate that persons with moderate-severe TBI can provide reliable self-report.

Marital instability after brain injury: An exploratory analysis.

BACKGROUND: Spousal caregivers have an important role in recovery after brain injury, and there is evidence that injury has an adverse impact on uninjured partners as well as survivors. Unfortunately, the impact of brain injury on coupled relationships has received limited attention from clinical researchers. OBJECTIVE: To characterize marital stability after traumatic brain injury considering the perspectives of the patient and the uninjured partner. To identify predictors of marital stability. METHODS: Forty-two couples with mild to severe injury completed the Marital Status Inventory, a measure of relationship stability, and the Revised Dyadic Adjustment Scale (RDAS), a measure of relationship quality. RESULTS: Twenty-four percent (24%) of patients viewed their marriage as unstable as did 29% of partners. Most individuals (72%) agreed with their partner regarding the stability of their relationship. About half of patients (52%) and partners (50%) reported clinically significant levels of marital dissatisfaction. Multivariate logistic regression indicated that the RDAS was a salient predictor of marital stability. Findings indicate relatively high levels of marital stability despite high levels of marital distress. CONCLUSIONS: Marital stability can be classified beyond labeling couples as married, separated, or divorced. Researchers have suggested that postinjury marital relationships are prone to instability and divorce in comparison to the general population. The present findings suggest otherwise.