Multidisciplinary Management Strategies for Long COVID: A Narrative Review.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of infections to date and has led to a worldwide pandemic. Most patients had a complete recovery from the acute infection, however, a large number of the affected individuals experienced symptoms that persisted more than 3 months after diagnosis. These symptoms most commonly include fatigue, memory difficulties, brain fog, dyspnea, cough, and other less common ones such as headache, chest pain, paresthesias, mood changes, muscle pain, and weakness, skin rashes, and cardiac, endocrine, renal and hepatic manifestations. The treatment of this syndrome remains challenging. A multidisciplinary approach to address combinations of symptoms affecting multiple organ systems has been widely adopted. This narrative review aims to bridge the gap surrounding the broad treatment approaches by providing an overview of multidisciplinary management strategies for the most common long COVID conditions.

Provider Perspectives of Facilitators and Barriers to Reaching and Utilizing Chronic Pain Healthcare for Persons With Traumatic Brain Injury: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project.

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.

Stakeholder Engagement to Identify Implementation Strategies to Overcome Barriers to Delivering Chronic Pain Treatments: A NIDILRR and VA TBI Model Systems Collaborative Project.

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.

Provider Perceived Facilitators and Barriers to Identifying, Perceiving, and Seeking Healthcare for Chronic Pain After TBI: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project.

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.

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).

Evolution of rehabilitation services in response to a global pandemic: reflection on opportunities and challenges ahead.

The rapidly evolving COVID-19 public health emergency has disrupted and challenged traditional healthcare, rehabilitation services, and treatment delivery worldwide. This perspective paper aimed to unite experiences and perspectives from an international group of rehabilitation providers while reflecting on the lessons learned from the challenges and opportunities raised during the COVID-19 pandemic. We discuss the global appreciation for rehabilitation services and changes in access to healthcare, including virtual, home-based rehabilitation, and long-term care rehabilitation. We illustrate lessons learned by highlighting successful rehabilitation approaches from the US, Belgium, and Japan.

Barriers to driving and psychosocial outcomes after traumatic brain injury.

OBJECTIVE: Examine considerations and perceived barriers to return to driving, and their association with psychosocial outcomes among adults with traumatic brain injury (TBI) who were not driving. METHODS: 174 adults with moderate-to-severe TBI enrolled in the TBI Model System participated in this cross-sectional study. All participants were drivers prior to their TBI. Outcome measures included the Barriers to Driving Questionnaire, Disability Rating Scale, Patient Health Questionnaire-9, General Anxiety Disorder-7, and Satisfaction With Life Scale. Descriptive analyses examined considerations and barriers to driving, including differences associated with demographic characteristics. Moderation analyses investigated the extent to which disability moderated the relationship between barriers and psychosocial outcomes. RESULTS: Social barriers were the most strongly endorsed domain, whereas physical barriers were endorsed least. The profile of endorsements differed for men and women, and for Black and White participants, on both theoretical considerations in returning to drive and experiences of barriers in doing so. Disability level moderated the relationship between barriers to driving and depression and life satisfaction, but not anxiety. CONCLUSION: The experience of barriers to driving is differentially associated with psychosocial outcomes among nondriving adults with TBI. Adults with low disability appear to be at risk for distress, even compared to other nondrivers.

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

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

Crash Risk Following Return to Driving After Moderate-to-Severe TBI: A TBI Model Systems Study.

OBJECTIVE: To examine motor vehicle crash frequency and risk factors following moderate-to-severe traumatic brain injury (TBI). SETTING: Eight TBI Model Systems sites. Participants: Adults ( N = 438) with TBI who required inpatient acute rehabilitation. DESIGN: Cross-sectional, observational design. MAIN MEASURES: Driving survey completed at phone follow-up 1 to 30 years after injury. RESULTS: TBI participants reported 1.5 to 2.5 times the frequency of crashes noted in the general population depending on the time frame queried, even when accounting for unreported crashes. Most reported having no crashes; for those who experienced a crash, half of them reported a single incident. Based on logistic regression, age at survey, years since injury, and perception of driving skills were significantly associated with crashes. CONCLUSION: Compared with national statistics, crash risk is higher following TBI based on self-report. Older age and less time since resuming driving were associated with lower crash risk. When driving was resumed was not associated with crash risk. These results do not justify restricting people from driving after TBI, given that the most who resumed driving did not report experiencing any crashes. However, there is a need to identify and address factors that increase crash risk after TBI.

Rehabilitation of Neuropsychiatric Symptoms in Patients With Long COVID: Position Statement.

Long COVID, a term used to describe ongoing symptoms after COVID-19 infection, parallels the course of other postviral syndromes. Neuropsychiatric symptoms of long COVID can be persistent and interfere with quality of life and functioning. Within the biopsychosocial framework of chronic illness, rehabilitation professionals can address the neuropsychiatric sequelae of long COVID. However, current practice models are not designed to address concurrent psychiatric and cognitive symptoms in adults living with long COVID. Thus, we present a biopsychosocial framework for long COVID and provide treatment strategies based on evidence from current literature of postviral chronic illness. These recommendations will guide rehabilitation professionals in identifying common neuropsychiatric symptoms in long COVID that can be targeted for intervention and addressing these symptoms via integrative interventions taking into account the biopsychosocial presentation of long COVID symptoms.

CONNECT: A pragmatic clinical trial testing a remotely provided linkage to service coordination after hospitalization for TBI.

OBJECTIVE: To test whether a complex behavioral intervention delivered remotely to connect individuals to clinical resources after hospitalization for TBI improved their quality of life. DESIGN/METHODS: Community-based randomized pragmatic clinical trial. Main measures TBI-QOL, Activity Measure for Post-Acute Care (AM-PAC), Clinical Satisfaction and Competency Rating Scale. RESULTS: 332 individuals ≥18 years-old hospitalized for TBI in four upper Midwest states were randomized to Remote (n = 166) and Usual Care (n = 166) groups. The groups were equivalent and representative of their state population's racial and ethnic composition, age, and proportion living in rural communities. There were no significant differences within or between experimental groups over the study period in TBI-QOL t-scores. There was a significant improvement in AM-PAC Daily Activities within the Remote group and a significant between-group improvement in clinical satisfaction for the Remote group. CONCLUSION: Enrolling a representative, regional community-based sample of individuals with TBI can be successful, and delivering a customized complex behavioral intervention remotely is feasible. The overall lack of intervention effectiveness was likely due to enrolling individuals without pre-identified clinical needs, initiating intervention after the immediate post-acute phase when needs are often highest, inability to provide direct clinical care remotely, and potential lack of outcome measure responsiveness in our sample.

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

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

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

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

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

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

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

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

Predictors of neurobehavioral symptom reporting in a community based sample with mild traumatic brain injury.

BACKGROUND: The Neurobehavioral Symptom Inventory (NSI-22) is a validated self-report measure designed to assess neurobehavioral symptoms (NBS) after mild TBI (MTBI). Psychological and behavioral factors have been shown to be predictors of persistent NBS reporting in veterans; however, there is still a gap in knowledge about these associations in a civilian population presenting for treatment. OBJECTIVE: This study seeks to identify the predictors of increased NBS reporting on the NSI-22 in a treatment-seeking population with MTBI. METHODS: Analysis of 80 treatment seeking participants admitted to an interdisciplinary outpatient rehabilitation program with a diagnosis of MTBI. NSI-22 was used to measure NBS reporting. Predictor variables identified by univariate analysis were entered into a multivariable regression model, which was adjusted for demographic variables. RESULTS: Higher NSI-22 scores correlated with increased level of depressive complaints (PHQ-9), higher disability (M2PI), lower satisfaction with life (SWLS), prior MTBI, fewer years of education, absence of motor vehicle collision (MVC), and unemployment at time of assessment. When those variables were used in a multivariable linear regression model, PHQ-9, M2PI, years of education, and absence of MVC remained statistically significant. CONCLUSION: Psychological factors and level of societal participation predicted increased NBS as compared with injury severity and time since injury.

The Association Between Community Participation and Social Internet Use Among Adults With Traumatic Brain Injury.

OBJECTIVE: To examine the association between social Internet use and real-world societal participation in survivors of moderate-severe traumatic brain injury. DESIGN: Prospective cross-sectional observational study. SETTING: Ten Traumatic Brain Injury Model Systems Centers. PARTICIPANTS: A total of 331 participants in the Traumatic Brain Injury Model Systems, interviewed at any follow-up year between April 2014 and March 2015. MAIN MEASURES: Survey on Internet use, including social media and other online socialization; Participation Assessment with Recombined Tools-Objective with separate analyses of Productivity, Social Relations, Out and About subscales; covariates included demographics, injury variables, and functional and emotional status at follow-up. RESULTS: Participants were classified as social Internet users (N = 232) or nonusers (N = 99). Users had significantly higher Participation Assessment with Recombined Tools-Objective Social Relations scores than nonusers. A similar finding pertained to Out and About scores, with the between-group difference significantly greater for those with greater depressive symptoms severity. Users and nonusers did not differ significantly on Productivity subscale. CONCLUSIONS: The positive association between social Internet use and real-world social participation suggests that people with traumatic brain injury do not use social media as an alternative to real-world socialization. Rather, it is likely that similar barriers and facilitators affect both online and real-world social participation following traumatic brain injury. Emotional function should be considered as a moderating factor in further studies.

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).