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OBJECTIVE: To describe the development of a telephone follow-up program that addresses the needs of survivors of traumatic brain injury (TBI) and their families in the year following injury. The process of developing the program is reviewed from the initial steps of identifying needs through final implementation of the program. PARTICIPANTS: Eighty-four TBI survivors with moderate to severe injuries and their families. RESULTS: Descriptive statistics are presented including number of contacts, areas of concern for participants, and the types of interventions conducted. Case examples are provided to illustrate the impact of the telephone follow-up program. CONCLUSION: This project demonstrated the feasibility of using the telephone as a means of providing information and support during the first year after moderate to severe traumatic brain injury. Telephone follow-up may enhance service provision for persons with TBI, especially those with a lack of transportation or geographic isolation. [ABSTRACT FROM AUTHOR]

Objective: To examine, among persons discharged from inpatient rehabilitation for traumatic brain injury (TBI), the degree to which pre-TBI factors were associated with post-TBI hospitalization for psychiatric reasons. The authors hypothesized that pre-TBI psychiatric hospitalization and other pre-TBI mental health treatment would predict post-TBI psychiatric hospitalization following rehabilitation discharge, up to 5 years post-TBI., Setting: Five Veterans Affairs Polytrauma Rehabilitation Centers., Participants: Participants with nonmissing rehospitalization status and reason, who were followed at 1 year (N = 1006), 2 years (N = 985), and 5 years (N = 772) post-TBI., Design: A secondary analysis of the Veterans Affairs TBI Model Systems, a multicenter, longitudinal study of veterans and active-duty service members with a history of mild, moderate, or severe TBI previously admitted to comprehensive inpatient medical rehabilitation. This study examined participants cross-sectionally at 3 follow-up timepoints., Main Measures: Psychiatric Rehospitalization was classified according to Healthcare Cost and Utilization Project multilevel Clinical Classifications diagnosis terminology (Category 5)., Results: Rates of post-TBI psychiatric hospitalization at years 1, 2, and 5 were 4.3%, 4.7%, and 4.1%, respectively. While bivariate comparisons identified pre-TBI psychiatric hospitalization and pre-TBI mental health treatment as factors associated with psychiatric rehospitalization after TBI across all postinjury timepoints, these factors were statistically nonsignificant when examined in a multivariate model across all timepoints. In the multivariable analysis, pre-TBI psychiatric hospitalization was significantly associated with increased odds of post-TBI psychiatric hospitalization only at 1-year post-TBI (adjusted odds ratio = 2.65; 95% confidence interval, 1.07-6.55, P = .04). Posttraumatic amnesia duration was unrelated to psychiatric rehospitalization., Conclusions: Study findings suggest the limited utility of age, education, and pre-TBI substance use and mental health utilization in predicting post-TBI psychiatric hospitalization. Temporally closer social and behavior factors, particularly those that are potentially modifiable, should be considered in future research., (Copyright ©.)

Objective: To ascertain patient and caregiver satisfaction with an individualized case management intervention to improve transition from inpatient rehabilitation care to the community after traumatic brain injury (TBI)., Setting: Participants from 6 National Institute on Disability, Independent Living, and Rehabilitation Research-funded TBI Model Systems sites in the United States., Participants: Adult, English-speaking patients with TBI who had moderate-to-severe TBI and were discharged from a TBI Model Systems site and who were in the intervention arm of the Brain Injury Rehabilitation: Improving the Transition Experience pragmatic clinical trial, as well as their caregivers., Design: A survey of participants in the intervention arm, which included an individualized case management program administered by a TBI Care Manager (TCM) who facilitated resource connection, education, and support., Main Measures: Satisfaction with intervention was measured through Likert-scaled and open-ended questions. The survey was administered verbally through telephone, audio-recorded, and transcribed. Descriptive statistics were calculated for categorical variables, and content analysis was conducted for open-ended responses., Results: Patient and caregiver participants were satisfied with the intervention and highlighted the benefits of the interpersonal and practical support provided by the TCM. Participants identified the need for a more intensive intervention and clear expectations of the TCM role, as well as gaps in available medical and rehabilitation services in the community, as areas for improvement., Conclusion: Patients with TBI and their caregivers reported satisfaction with the individualized case management program in supporting their transition from inpatient rehabilitation to the community. Further research is needed to understand the impact on outcomes., Competing Interests: The authors have no conflicts of interests to disclose., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: The purpose of this article is to illustrate the process of stakeholder-engaged intervention mapping approach to identify implementation strategies to overcome data-driven prioritized barriers to receiving chronic pain services for persons with traumatic brain injury (TBI)., Setting: Community., Participants: Healthcare providers (n = 63) with 2 or more years' experience treating persons with TBI, interviewed between October 2020 and November 2021 provided data for identification of barriers. TBI, chronic pain, and qualitative research subject matter experts (SMEs) participated in the mapping approach., Design: Participatory-based research design, using descriptive and intervention mapping approaches., Results: Four barriers to accessing chronic pain treatment by persons with TBI which emerged from provider interviews were prioritized for intervention mapping: cognitive deficits of patients (67%); patient comorbidities (63%); mental health and/or substance abuse issues (59%); and patient participation (62%). SMEs used prioritized barriers to develop 4 primary objectives and implementation strategies designed to: (1) engage consumers to validate and identify strategies; (2) tailor pain treatment and delivery to overcome barriers; (3) develop and disseminate guidelines and best practices when delivering care to persons with TBI to support spread; and (4) increase awareness, skills, and readiness of workforce to deliver pain treatment to persons with TBI. SMEs used an evidence-based approach to develop a mapping matrix of the prioritized barriers, implementation objectives, and aligned implementation strategies to impact change., Conclusion: Implementation science is needed to facilitate knowledge translation into practice for this complex population to overcome barriers to care. Implementation strategies to address barriers to accessing chronic pain care for individuals with TBI were chosen through a participatory approach to engaging SMEs to support these rehabilitation implementation efforts. Future work includes gathering input from individuals with TBI and chronic pain and to move the intervention (implementation) mapping matrix forward to inform future implementation research, policy, and practice., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflicts of interests., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To identify facilitators and barriers to reaching and utilizing chronic pain treatments for persons with traumatic brain injury (TBI) organized around an Access to Care framework, which includes dimensions of access to healthcare as a function of supply (ie, provider/system) and demand (ie, patient) factors for a specified patient population., Setting: Community., Participants: Clinicians (n = 63) with experience treating persons with TBI were interviewed between October 2020 and November 2021., Design: Descriptive, qualitative study., Main Measures: Semistructured open-ended interview of chronic pain management for persons with TBI. Informed by the Access to Care framework, responses were coded by and categorized within the core domains (reaching care, utilizing care) and relevant subdimensions from the supply (affordability of providing care, quality, coordination/continuity, adequacy) and demand (ability to pay, adherence, empowerment, caregiver support) perspective., Results: Themes from provider interviews focused on healthcare reaching and healthcare utilization resulted in 19 facilitators and 9 barriers reaching saturation. The most themes fell under the utilization core domain, with themes identified that impact the technical and interpersonal quality of care and care coordination/continuity. Accessibility and availability of specialty care and use of interdisciplinary team that permitted matching patients to treatments were leading thematic facilitators. The leading thematic barrier identified primarily by medical providers was cognitive disability, which is likely directly linked with other leading barriers including high rates of noncompliance and poor follow-up in health care. Medical and behavioral health complexity was also a leading barrier to care and potentially interrelated to other themes identified., Conclusion: This is the first evidence-based study to inform policy and planning for this complex population to improve access to high-quality chronic pain treatment. Further research is needed to gain a better understanding of the perspectives of individuals with TBI/caregivers to inform interventions to improve access to chronic pain treatment for persons with TBI., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Competing Interests: The authors declare no conflicts of interest.

Objective: Identify determinants to chronic pain healthcare for persons with traumatic brain injury (TBI) informed by an Access to Care Framework. Findings related to the Access Framework's core domains of identifying a need, perceptions of the need, and seeking healthcare are reported., Setting: Community., Participants: Healthcare providers (n = 63) with 2 or more years of experience treating persons with TBI interviewed between October 2020 and November 2021., Design: Descriptive, qualitative study., Main Measures: Semi-structured interviews with open-ended questions of chronic pain management for persons with TBI. Informed by the Access Framework, responses were coded by and categorized within the domains of identifying healthcare needs, perceptions of needs, and factors related to healthcare seeking from the supply and demand perspective., Results: For the overall sample, 14 facilitators and 6 barriers were endorsed by more than 20% of the provider cohort. Top facilitators included on-site availability of needed resources and treatments (94%), adequate time and provider capability to ensure patient comprehension of diagnosis and treatment plans (83%), and establishing patient motivation and buy-in with the treatment plan (75%). Barriers most endorsed included policies impacting access (46%), wait times for services (41%), and patient uncertainty regarding telehealth commonly due to cognitive and physical challenges (37%). Unique determinants are reported across civilian versus Department of Veterans Affairs (VA) healthcare systems and different provider types., Conclusion: This is the first evidence-based study to inform policy and planning to improve access to high-quality chronic pain treatments for persons with TBI. Results will inform future interventions at the systems, patient, and policy levels of healthcare that can be tailored to healthcare settings (VA, Civilian) and types of providers (rehabilitation therapists, psychologists, and medical). Evidence-informed interventions may help minimize healthcare disparities experienced by persons with TBI and facilitate access to high-quality, evidence-informed chronic pain care., Competing Interests: The authors declare no conflicts of interests., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: Although headache (HA) is a common sequela of traumatic brain injury (TBI), early predictors of chronic HA after moderate to severe TBI are not well established, and the relationship chronic HA has with psychosocial functioning is understudied. Thus, we sought to (1) determine demographic and injury predictors of chronic HA 1 or more years after moderate to severe TBI and (2) examine associations between chronic HA and psychosocial outcomes., Setting: Community., Participants: Participants in the TBI Model System (TBIMS) with moderate to severe TBI who consented for additional chronic pain questionnaires at the time of TBIMS follow-up., Design: Multisite, observational cohort study using LASSO (least absolute shrinkage and selection operator) regression for prediction modeling and independent t tests for psychosocial associations., Main Outcome Measures: Chronic HA after TBI at year 1 or 2 postinjury and more remotely (5 or more years)., Results: The LASSO model for chronic HA at 1 to 2 years achieved acceptable predictability (cross-validated area under the curve [AUC] = 0.70). At 5 or more years, predictability was nearly acceptable (cross-validated AUC = 0.68), but much more complex, with more than twice as many variables contributing. Injury characteristics had stronger predictive value at postinjury years 1 to 2 versus 5 or more years, especially sustained intracranial pressure elevation (odds ratio [OR] = 3.8) and skull fragments on head computed tomography (CT) (OR = 2.5). Additional TBI(s) was a risk factor at both time frames, as were multiple socioeconomic characteristics, including lower education level, younger age, female gender, and Black race. Lower education level was a particularly strong predictor at 5 or more years (OR up to 3.5). Emotional and participation outcomes were broadly poorer among persons with chronic HA after moderate to severe TBI., Conclusions: Among people with moderate to severe TBI, chronic HA is associated with significant psychosocial burden. The identified risk factors will enable targeted clinical screening and monitoring strategies to enhance clinical care pathways that could lead to better outcomes. They may also be useful as stratification or covariates in future clinical trial research on treatments., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

Objective: To describe the rates and causes of rehospitalization over a 10-year period following a moderate-severe traumatic brain injury (TBI) utilizing the Healthcare Cost and Utilization Project (HCUP) diagnostic coding scheme., Setting: TBI Model Systems centers., Participants: Individuals 16 years and older with a primary diagnosis of TBI., Design: Prospective cohort study., Main Measures: Rehospitalization (and reason for rehospitalization) as reported by participants or their proxies during follow-up telephone interviews at 1, 2, 5, and 10 years postinjury., Results: The greatest number of rehospitalizations occurred in the first year postinjury (23.4% of the sample), and the rates of rehospitalization remained stable (21.1%-20.9%) at 2 and 5 years postinjury and then decreased slightly (18.6%) at 10 years postinjury. Reasons for rehospitalization varied over time, but seizure was the most common reason at 1, 2, and 5 years postinjury. Other common reasons were related to need for procedures (eg, craniotomy or craniectomy) or medical comorbid conditions (eg, diseases of the heart, bacterial infections, or fractures). Multivariable logistic regression models showed that Functional Independence Measure (FIM) Motor score at time of discharge from inpatient rehabilitation was consistently associated with rehospitalization at all time points. Other factors associated with future rehospitalization over time included a history of rehospitalization, presence of seizures, need for craniotomy/craniectomy during acute hospitalization, as well as older age and greater physical and mental health comorbidities., Conclusion: Using diagnostic codes to characterize reasons for rehospitalization may facilitate identification of baseline (eg, FIM Motor score or craniotomy/craniectomy) and proximal (eg, seizures or prior rehospitalization) factors that are associated with rehospitalization. Information about reasons for rehospitalization can aid healthcare system planning. By identifying those recovering from TBI at a higher risk for rehospitalization, providing closer monitoring may help decrease the healthcare burden by preventing rehospitalization., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Background: People of color (POC), especially those who also hold social identities associated with disadvantage (non-English-speaking, female, older, lower socioeconomic level), continue to be underserved in the health system, which can result in poorer care and worsened health outcomes. Most disparity research in traumatic brain injury (TBI) focuses on the impact of single factors, which misses the compounding effect of belonging to multiple historically marginalized groups., Objective: To examine the intersectional impact of multiple social identities vulnerable to systemic disadvantage following TBI on mortality, opioid usage during acute hospitalization, and discharge location., Methods: Retrospective observational design utilizing electronic health records merged with local trauma registry data. Patient groups were defined by race and ethnicity (POC or non-Hispanic White), age, sex, type of insurance, and primary language (English-speaking vs non-English-speaking). Latent class analysis (LCA) was performed to identify clusters of systemic disadvantage. Outcome measures were then assessed across latent classes and tested for differences., Results: Over an 8-year period, 10 809 admissions with TBI occurred (37% POC). LCA identified a 4-class model. Groups with more systemic disadvantage had higher rates of mortality. Classes with older populations had lower rates of opioid administration and were less likely to discharge to inpatient rehabilitation following acute care. Sensitivity analyses examining additional indicators of TBI severity demonstrated that the younger group with more systemic disadvantage had more severe TBI. Controlling for more indicators of TBI severity changed statistical significance in mortality for younger groups., Conclusion: Results demonstrate significant health inequities in the mortality and access to inpatient rehabilitation following TBI along with higher rates of severe injury in younger patients with more social disadvantages. While many inequities may be related to systemic racism, our findings suggested an additive, deleterious effect for patients who belonged to multiple historically disadvantaged groups. Further research is needed to understand the role of systemic disadvantage for individuals with TBI within the healthcare system., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)

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., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: To describe patient and clinical characteristics associated with receipt of opioid medications and identify differences in sleep quality, architecture, and sleep-related respiration between those receiving and not receiving opioid medications., Setting: Acute inpatient rehabilitation care for moderate to severe traumatic brain injury (TBI)., Participants: A total of 248 consecutive admissions for inpatient rehabilitation care following moderate to severe TBI (average age of 43.6 years), who underwent level 1 polysomnography (PSG) (average time since injury: 120 days) across 6 sites., Design: Cross-sectional, secondary analyses., Main Measures: The PSG sleep parameters included total sleep time (TST), sleep efficiency (SE), wake after sleep onset, rapid eye movement (REM) latency, sleep staging, and arousal and awakening indices. Respiratory measures included oxygen saturation, central apnea events per hour, obstructive apnea and hypopnea events per hour, and total apnea-hypopnea index., Results: After adjustment for number of prescribed medication classes, those receiving opioid medications on the day of PSG experienced increased TST relative to those not receiving opioid medications (estimated mean difference [EMD] = 31.58; 95% confidence interval [CI], 1.9-61.3). Other indices of sleep did not differ significantly between groups. Among respiratory measures those receiving opioids on the day of PSG experienced increased frequency of central sleep apnea events during total (EMD = 2.92; 95% CI, 0.8-5.0) and non-REM sleep (EMD = 3.37; 95% CI, 1.0-5.7) and higher frequency of obstructive sleep apnea events during REM sleep (EMD = 6.97; 95% CI, 0.1-13.8). Compared with those who did not, receiving opioids was associated with lower oxygen saturation nadir during total sleep (EMD = -3.03; 95% CI, -5.6 to -0.4) and a greater number of oxygen desaturations across REM (EMD = 8.15; 95% CI, 0.2-16.1), non-REM (EMD = 7.30; 95% CI, 0.3-14.4), and total sleep (EMD = 8.01; 95% CI, 0.8-15.2) Greater total apnea-hypopnea index was observed during REM (EMD = 8.13; 95% CI, 0.8-15.5) and total sleep (EMD = 7.26; 95% CI, 0.08-14.4) for those receiving opioids., Conclusion: Opioid use following moderate to severe TBI is associated with an increase in indicators of sleep-related breathing disorders, a modifiable condition that is prevalent following TBI. As sleep-wake disorders are associated with poorer rehabilitation outcomes and opioid medications may frequently be administered following traumatic injury, additional longitudinal investigations are warranted in determining whether a causal relation between opioids and sleep-disordered breathing in those following moderate to severe TBI exists. Given current study limitations, future studies can improve upon methodology through the inclusion of indication for and dosage of opioid medications in this population when examining these associations., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

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.

Objective: To describe the development of a telephone follow-up program that addresses the needs of survivors of traumatic brain injury (TBI) and their families in the year following injury. The process of developing the program is reviewed from the initial steps of identifying needs through final implementation of the program., Participants: Eighty-four TBI survivors with moderate to severe injuries and their families., Results: Descriptive statistics are presented including number of contacts, areas of concern for participants, and the types of interventions conducted. Case examples are provided to illustrate the impact of the telephone follow-up program., Conclusion: This project demonstrated the feasibility of using the telephone as a means of providing information and support during the first year after moderate to severe traumatic brain injury. Telephone follow-up may enhance service provision for persons with TBI, especially those with a lack of transportation or geographic isolation.