Traumatic Brain Injury and Treatment of Behavioral Health Conditions

A Transdiagnostic, Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI)

Psychopathology, including depression, anxiety, and post-traumatic stress, is a significant yet inadequately addressed feature of moderate-severe traumatic brain injury (TBI). Progress in understanding and treating post-TBI psychopathology may be hindered by limitations associated with conventional diagnostic approaches, specifically the Diagnostic and Statistical Manual of Mental Disorders (DSM) and International Classification of Diseases (ICD). The Hierarchical Taxonomy of Psychopathology (HiTOP) offers a promising, transdiagnostic alternative to psychiatric classification that may more effectively capture the experiences of individuals with TBI. However, HiTOP lacks validation in the TBI population. To address this gap, we administered a comprehensive questionnaire battery, including 56 scales assessing homogeneous symptom components and maladaptive traits within HiTOP, to 410 individuals with moderate-severe TBI. We evaluated the reliability and unidimensionality of each scale and revised those with psychometric problems. Using a top-down, exploratory latent variable approach (bass-ackwards modeling), we subsequently constructed a hierarchical model of psychopathological dimensions tailored to TBI. The results showed that, relative to norms, participants with moderate-severe TBI experienced greater problems in the established HiTOP internalizing and detachment spectra, but fewer problems with thought disorder and antagonism. Fourteen of the 56 scales demonstrated psychometric problems, which often appeared reflective of the TBI experience and associated disability. The Hierarchical Taxonomy of Psychopathology Following Traumatic Brain Injury (HiTOP-TBI) model encompassed broad internalizing and externalizing spectra, splitting into seven narrower dimensions: Detachment, Dysregulated Negative Emotionality, Somatic Symptoms, Compensatory and Phobic Reactions, Self-Harm and Psychoticism, Rigid Constraint, and Harmful Substance Use. This study presents the most comprehensive empirical classification of psychopathology after TBI to date. It introduces a novel, TBI-specific transdiagnostic questionnaire battery and model, which addresses the limitations of conventional DSM and ICD diagnoses. The empirical structure of psychopathology after TBI largely aligned with the established HiTOP model (e.g., a detachment spectrum). However, these constructs need to be interpreted in relation to the unique experiences associated with TBI (e.g., considering the injury's impact on the person's social functioning). By overcoming the limitations of conventional diagnostic approaches, the HiTOP-TBI model has the potential to accelerate our understanding of the causes, correlates, consequences, and treatment of psychopathology after TBI.

Model of Care for Chronic Brain Injury

There is growing evidence that long-term outcomes after traumatic brain injury (TBI) are more dynamic than stable. People continue to change, both improving and declining, many years postinjury. Research, practice, and medical education have not yet fully embraced the implications of TBI as a chronic, dynamic condition. In 2020, the National Institute on Disability Independent Living and Rehabilitation Research funded the BeHEALTHY project to develop a model for long-term support of persons with chronic brain injury. Based on initial reviews of the available evidence and expert input from researchers, clinicians, and persons with lived experience, the BeHEALTHY model was proposed. Among existing chronic disease treatment models, Wagner's Chronic Care Model was selected as a starting point, with several critical refinements. The BeHEALTHY model endorses a person-centered approach, recognizing the individual with brain injury, and their social support system, as the primary source of goals in care planning. The model also acknowledges the critical importance of self-management and the need for health care programs to actively promote self-direction by the person using their social supports. The model also recognizes that outcomes are not determined solely by the person and the injury incurred but also by the environment in which a person lives and recovers. The importance of integrating health care with community resources is underscored by embracing environmental influences as a shared responsibility of the community and the health care system. This article recounts the impetus for developing the BeHEALTHY model and describes those it is intended to serve and its structural features and core components.

Identifying Barriers and Implementation Strategies to Inform TBI Screening Adoption in Behavioral Healthcare Settings

OBJECTIVE

Identify barriers to the adoption of the Ohio State University Traumatic Brain Injury Identification Method (OSU TBI-ID) in behavioral healthcare organizations and match these barriers to implementation strategies to inform future implementation efforts.

PARTICIPANTS

Twenty behavioral health providers.

DESIGN

Qualitative study involving individual, semi-structured interviews regarding barriers to adopting the OSU TBI-ID. Data were thematically analyzed around constructs from the Consolidated Framework for Implementation Research (CFIR). Results were matched to strategies using the Expert Recommendations for Implementing Change (CFIR/ERIC) matching tool.

RESULTS

Ten barriers were identified across 4 CFIR domains. Inner-Setting barriers were inadequate leadership engagement, priorities, resources, and organizational incentives. Individual-Characteristics barriers were insufficient knowledge about the connection between TBI and behavioral health and how to conduct the OSU TBI-ID with fidelity, low self-efficacy to conduct screening, and inadequate motivation and buy-in to conduct screening. Outer-Setting barriers were lack of state-level mandates and inadequate incentives to conduct screenings. The Process domain barrier was an insufficient engagement of key personnel. Strategy recommendations include: identify and prepare champions; alter incentive and allowance structures; inform local opinion leaders; build a coalition; access new funding; conduct local consensus discussions; involve executive boards; capture/share local knowledge; conduct educational meetings; assess for readiness and identify determinants; identify early adopters; fund and contract for the clinical innovation; create a learning collaborative; and conduct a local needs assessment.

CONCLUSIONS

This is the first study to examine barriers to adopting the OSU TBI-ID in real-world practice settings. Our results suggest that multilevel implementation strategies addressing mechanisms of change are necessary at the provider, organizational, and systems levels to overcome the complex barriers affecting TBI screening adoption and implementation. Future research is needed to test these strategies and their mechanisms of action on the adoption, implementation, and sustainment of TBI screening, as well as their effect on client-level outcomes.

Improvements in Safety Outcomes Following Brief Healthcare-Based Intimate Partner Violence Interventions among Women Who Screen Positive for Intimate Partner Violence-Related Traumatic Brain Injuries

Background: Traumatic brain injuries (TBIs) are a common consequence of experiencing intimate partner violence (IPV). IPV-related TBI contributes to adverse health outcomes among women, but it is unknown whether a history of IPV-related TBI negatively impacts safety outcomes following healthcare-based interventions for IPV. Methods: Using data from a larger randomized clinical trial, we explored the impact of IPV-related TBI status on safety-related outcomes in two healthcare-based IPV interventions. At baseline, 35% (n = 21) of the sample screened positive for IPV-related TBI history. We used repeated measures ANOVAs to examine differences in safety outcomes at post-treatment and 1-month follow-up based on treatment condition and IPV-related TBI status. Results: Significant interaction effects were found for safety outcomes, such that women with IPV-related TBI history experienced larger reductions in the frequency of physical IPV and similar reductions in sexual IPV across both treatment conditions compared to women without IPV-TBI (F(2, 102) = 10.88, p < 0.001; F(2, 98) = 3.93, p = 0.036). Conclusions: Findings suggest that brief healthcare-based IPV interventions may result in improvements in safety outcomes for women with a history of IPV-TBI. This highlights the continued need for implementation of promising IPV-focused interventions to promote safety and protect women from experiencing further IPV.

Evidence-Based Review of Randomized Controlled Trials of Interventions for the Management of Behavioral Issues in Individuals With Moderate to Severe Traumatic Brain Injury

OBJECTIVE

To present an evidence-based review of randomized controlled trials (RCTs) evaluating interventions for the management of behavioral issues post moderate to severe traumatic brain injury (MSTBI), as part of an extensive database that has been conceptualized as a living systematic review.

METHODS

Systematic searches were conducted in MEDLINE, PubMed, Scopus, CINAHL, EMBASE and PsycINFO, up to and including December 2022, for articles published in the English language, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The quality of RCT was assessed using the Physiotherapy Evidence Database (PEDro) scale, and level of evidence was assigned using a modified Sackett scale.

RESULTS

Forty-six RCTs examining interventions and outcome measures related to behavioral issues post-MSTBI were included. These studies collectively enrolled 3,267 participants. The majority of RCTs were conducted in the United States (n = 27; 58.7%) and 28 (60.9%) were conducted after 2010. Of these, 27 RCTs examined non-pharmacological interventions and 19 examined pharmacological interventions. Effective pharmacological treatments included amantadine and dexmedetomidine. Effective non-pharmacological interventions included sensory stimulation in the acute phase, anger self-management programs, peer mentoring, problem-solving, and emotional regulation. Psychotherapy showed conflicting evidence.

CONCLUSION

This evidence-based review provides a comprehensive overview of the research landscape of RCTs addressing behavior post-MSTBI. The findings from these RCTs may be valuable for health care professionals, researchers, and policymakers involved in the field of TBI and behavior.

Neurotrophins and neural stem cells in posttraumatic brain injury repair

Traumatic brain injury (TBI) is the main cause of disability, mental health disorder, and even death, with its incidence and social costs rising steadily. Although different treatment strategies have been developed and tested to mitigate neurological decline, a definitive cure for these conditions remains elusive. Studies have revealed that various neurotrophins represented by the brain-derived neurotrophic factor are the key regulators of neuroinflammation, apoptosis, blood-brain barrier permeability, neurite regeneration, and memory function. These factors are instrumental in alleviating neuroinflammation and promoting neuroregeneration. In addition, neural stem cells (NSC) contribute to nerve repair through inherent neuroprotective and immunomodulatory properties, the release of neurotrophins, the activation of endogenous NSCs, and intercellular signaling. Notably, innovative research proposals are emerging to combine BDNF and NSCs, enabling them to synergistically complement and promote each other in facilitating injury repair and improving neuron differentiation after TBI. In this review, we summarize the mechanism of neurotrophins in promoting neurogenesis and restoring neural function after TBI, comprehensively explore the potential therapeutic effects of various neurotrophins in basic research on TBI, and investigate their interaction with NSCs. This endeavor aims to provide a valuable insight into the clinical treatment and transformation of neurotrophins in TBI, thereby promoting the progress of TBI therapeutics.

Neural Stem Cells Transplanted into Rhesus Monkey Cortical Traumatic Brain Injury Can Survive and Differentiate into Neurons

Cortical traumatic brain injury (TBI) is a major cause of cognitive impairment accompanied by motor and behavioral deficits, and there is no effective treatment strategy in the clinic. Cell transplantation is a promising therapeutic strategy, and it is necessary to verify the survival and differentiation of cells after transplantation in large animal models like rhesus monkeys. In this study, we transplanted neural stem cells (NSCs) and simultaneously injected basic fibroblast growth factor/epidermal growth factor (bFGF/EGF) into the cortex (visual and sensory cortices) of rhesus monkeys with superficial TBI. The results showed that the transplanted NSCs did not enter the cerebrospinal fluid (CSF) and were confined to the transplantation site for at least one year. The transplanted NSCs differentiated into mature neurons that formed synaptic connections with host neurons, but glial scar formation between the graft and the host tissue did not occur. This study is the first to explore the repairing effect of transplanting NSCs into the superficial cerebral cortex of rhesus monkeys after TBI, and the results show the ability of NSCs to survive long-term and differentiate into neurons, demonstrating the potential of NSC transplantation for cortical TBI.

Traumatic brain injury rehabilitation for warfighters with post-traumatic stress

BACKGROUND

While there is extensive empirical support and clinical guidance for the treatment of mild traumatic brain injury (mTBI) and post-traumatic stress disorder (PTSD) individually, less is known about treating the comorbid presentation of both conditions.

OBJECTIVE

The purpose of this review article is to provide information on the mental health treatment needs of service members (SMs) engaged in traumatic brain injury (TBI) rehabilitation. It also aims to offer a framework for an integrated treatment approach to address the cognitive and psychological health needs of warfighters.

METHODS

We review the prevalence and outcomes associated with comorbid TBI and PTSD and present relevant access to care considerations. Additionally, we identify an integrated approach to TBI treatment which takes psychological trauma into consideration. We introduce a trauma-informed care (TIC) model with specified diagnostic and treatment considerations for the service member and veteran (SM/V) communities. TIC is a strengths-based framework that raises the system-wide awareness of treatment facilities to the impact of psychological trauma on behavioral health.

RESULTS

A comprehensive diagnostic approach is recommended with considerations for symptom etiology. Clinical considerations derived from available guidelines are identified to meet critical treatment needs for SM/Vs presenting for TBI treatment with a remote history of mTBI and psychological trauma or known PTSD. Clinical practice guidelines are used to inform an integrated TBI treatment model and maximize rehabilitation efforts for warfighters.

CONCLUSION

Given the prevalence of comorbid TBI and PTSD among SM/Vs and its impact on outcomes, this review presents the integration of appropriate diagnostics and treatment practices, including the incorporation of clinical practice guidelines (CPGs) into TBI rehabilitation.

Implementing traumatic brain injury screening in behavioral health treatment settings: results of an explanatory sequential mixed-methods investigation

BACKGROUND

Traumatic brain injury (TBI) is a complex condition common among individuals treated in behavioral healthcare, but TBI screening has not been adopted in these settings which can affect optimal clinical decision-making. Integrating evidence-based practices that address complex health comorbidities into behavioral healthcare settings remains understudied in implementation science, limited by few studies using theory-driven hypotheses to disentangle relationships between proximal and medial indicators on distal implementation outcomes. Grounded in the Theory of Planned Behavior, we examined providers' attitudes, perceived behavioral control (PBC), subjective norms, and intentions to adopt The Ohio State University TBI Identification Method (OSU TBI-ID) in behavioral healthcare settings.

METHODS

We used an explanatory sequential mixed-methods design. In Phase I, 215 providers from 25 organizations in the USA completed training introducing the OSU TBI-ID, followed by a survey assessing attitudes, PBC, norms, and intentions to screen for TBI. After 1 month, providers completed another survey assessing the number of TBI screens conducted. Data were analyzed using structural equation modeling (SEM) with logistic regressions. In Phase II, 20 providers were purposively selected for semi-structured interviews to expand on SEM results. Qualitative data were analyzed using thematic analysis, integrated with quantitative results, and combined into joint displays.

RESULTS

Only 25% (55/215) of providers adopted TBI screening, which was driven by motivations to trial the intervention. Providers who reported more favorable attitudes (OR: 0.67, p < .001) and greater subjective norms (OR: 0.12, p < .001) toward TBI screening demonstrated increased odds of intention to screen, which resulted in greater TBI screening adoption (OR: 0.30; p < .01). PBC did not affect intentions or adoption. Providers explained that although TBI screening can improve diagnostic and clinical decision-making, they discussed that additional training, leadership engagement, and state-level mandates are needed to increase the widespread, systematic uptake of TBI screening.

CONCLUSIONS

This study advances implementation science by using theory-driven hypothesis testing to disentangle proximal and medial indicators at the provider level on TBI screening adoption. Our mixed-methods approach added in-depth contextualization and illuminated additional multilevel determinants affecting intervention adoption, which guides a more precise selection of implementation strategies.

Associations between new health conditions and healthcare service utilizations among older adults in the United Kingdom: effects of COVID-19 risks, worse financial situation, and lowered income

Background

Health services are critically important for older adults, particularly during the Coronavirus disease-19 (COVID-19) pandemic. However, COVID-19 risks, worse financial situation, and lowered income may seriously impact health services by feasibility and accessibility. Therefore, the aim of the present study was empirically to explore how health-seeking behaviors are influenced by new health conditions through COVID-19 risks, worse financial situation, and lowered income.

Methods

Data were from ELSA COVID-19 waves 1 and 2 which included a sample of 6952 and 6710 older adults in the United Kingdom, respectively. The frequency distribution analyses were conducted by Chi-square analysis by gender groups. Zero-inflated Poisson regressions were used to examine how worse financial situation and lowered income were associated with COVID-19 risks and new health conditions. Logistic regressions were employed to examine the associations of COVID-19 risks, worse financial situation, and lowered income with treatment cancellation and accessible care. Cross-sectional mediation models, cross-sectional moderation models, longitudinal mediation models, and longitudinal moderation models were conducted based on Hayes model 6, Hayes model 29, Montoya model 1, and Montoya model 2, respectively.

Results

Most of the sample was >65 years old, females, located in urban place, and involved in long-standing condition. Regression analysis showed that COVID-19 risks, worse financial situation, and lowered income were associated with treatment cancellation and accessible care. In the longitudinal mediations, effect coefficients of ‘X’ → (treatment cancellation in wave 1 (Tcn1)- treatment cancellation in wave 2 (Tcn2))(β = −.0451, p < .0001, low limit confidence interval (LLCI) = −.0618, upper limit confidence interval (ULCI) = −.0284), ‘X’ → (COVID-19 risks in wave 1 (Csk1)- COVID-19 risks in wave 2 (Csk2)) (β = .0592, p < .0001, LLCI = .0361, ULCI = .0824), and ‘X’ → (lowered income in wave 1 (CIn1)- lowered income in wave 2 (CIn2)) (β = −.0351, p = .0001, LLCI = -.0523, ULCI = -.0179) were significant. Additionally, effect coefficients of ‘X’ → (accessible care in wave 1 (Acr1)- accessible care in wave 2 (Acr2)) (β = .3687, p < .0001, LLCI = .3350, ULCI = .4025),'X’ → (Csk1- Csk2) (β = .0676, p = .0005, LLCI = .0294, ULCI = .1058), and ‘X’ → (worse financial situation in wave 1- worse financial situation in wave 2) (β = −.0369, p = .0102, LLCI = -.0650, ULCI = -.0087) were significant.

Conclusions

There were longitudinal mediating effects of COVID-19 risks, worse financial situation, and lowered income on the relationship between new health conditions and treatment cancellation and relationship between new health conditions and accessible care. These findings suggest that worse financial situation, lowered income, and COVID-19 risks exerted an influence on the relationship between new health conditions and treatment cancellation and relationship between new health conditions and accessible care among older adults. Findings suggest that longitudinal mediations may be important components of interventions aiming to meet service needs. Long-term health policy implications indicate the need for reducing COVID-19 risks, improving financial situation, and increasing income among the targeted population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02995-8.

Does Traumatic Brain Injury Cause Risky Substance Use or Substance Use Disorder?

There is a high co-occurrence of risky substance use among adults with traumatic brain injury (TBI), although it is unknown if the neurologic sequelae of TBI can promote this behavior. We propose that to conclude that TBI can cause risky substance use, it must be determined that TBI precedes risky substance use, that confounders with the potential to increase the likelihood of both TBI and risky substance use must be ruled out, and that there must be a plausible mechanism of action. In this review, we address these factors by providing an overview of key clinical and preclinical studies and list plausible mechanisms by which TBI could increase risky substance use. Human and animal studies have identified an association between TBI and risky substance use, although the strength of this association varies. Factors that may limit detection of this relationship include differential variability due to substance, sex, age of injury, and confounders that may influence the likelihood of both TBI and risky substance use. We propose possible mechanisms by which TBI could increase substance use that include damage-associated neuroplasticity, chronic changes in neuroimmune signaling, and TBI-associated alterations in brain networks.

Rural-Urban Differences in Behavioral Outcomes among Adults with Lifetime History of Traumatic Brain Injury with Loss of Consciousness: 2016-2019 Ohio BRFSS

This study examined if the associations between lifetime history of traumatic brain injury (TBI) with loss of consciousness (LOC) and unhealthy alcohol use or mental health problems differ by location of living (rural vs. urban). The lifetime history data of TBI with LOC, location of living, unhealthy alcohol use (binge drinking, heavy drinking), and mental health problems (depression diagnosis, number of poor mental health days) were sourced from the 2016, 2017, 2018, and 2019 Ohio Behavioral Risk Factory Surveillance Surveys, and the final sample included 16,941 respondents. We conducted multivariable logistic regressions to determine the odds ratios for each of the five outcomes between individuals living in rural vs. urban areas and between individuals with vs. without a lifetime history of TBI with LOC. No interaction between location of living and lifetime history of TBI with LOC was observed for any outcomes, indicating rurality did not modify these relationships. Living in a rural area was associated with decreased binge drinking or heavy drinking but not mental health outcomes. Lifetime history of TBI with LOC was associated with an increased risk of binge drinking, heavy drinking, depression diagnoses, and poor general mental health, regardless of location of living. Our findings support the need for TBI screenings as part of mental health intake evaluations and behavioral health screenings. Though rurality was not associated with mental health outcomes, rural areas may have limited access to quality mental health care. Therefore, future research should address access to mental health services following TBI among rural residents.