Interrelationships Between Post-TBI Employment and Substance Abuse: A Cross-lagged Structural Equation Modeling Analysis

Neurobehavioral Symptom Profiles for the Behavioral Assessment Screening Tool in Chronic Traumatic Brain Injury

OBJECTIVE

To identify neurobehavioral symptom profiles among persons with chronic traumatic brain injury (TBI) using the Behavioral Assessment Screening Tool (BAST) and to consider participant characteristics that differ between profile groups.

SETTING

Community.

PARTICIPANTS

Participants (n = 615) were English-speaking adults (≥18) and had a self-reported history of at least one TBI of any severity.

DESIGN

Secondary analysis of cross-sectional data.

MAIN MEASURES

The BAST measures neurobehavioral symptoms in the domains of Negative Affect, Fatigue, Executive Dysfunction, Impulsivity, and Substance Misuse.

RESULTS

Using latent profile analysis (LPA), we identified 3 different neurobehavioral profiles. Overall symptom frequency and differences in the pattern of symptom frequency across domains differentiated the profile groups. Average domain scores differed significantly across the profiles (P < .001) for all domains except Fatigue (P = .076). Those in profile 3 (High-Risk group) reported the most frequent symptoms across all domains (similar Negative Affect frequency as profile 1). Substance Misuse was especially high in this group. Compared to profile 2 (High Negative Affect group), participants in profile 1 (Moderate-Risk group) endorsed significantly more frequent (and more variable) symptoms across all BAST domains, particularly Impulsivity and Substance Misuse. Participants in profile 2 endorsed the least frequent symptoms across all domains. Demographic comparison showed that groups differed based on gender, age, and injury severity (mild vs moderate-severe), with profile 3 composed of the most men and the most persons in early adulthood, and profile 2 composed of the most women and those with mild TBI.

CONCLUSIONS

We differentiated 3 neurobehavioral symptom profiles among persons with chronic TBI and determined differences in sociodemographic factors between the groups. Future research should focus on validating these profiles in another sample of individuals with chronic TBI. Characterizing persons according to multidimensional symptom profiles could allow for more tailored approaches to predict and prevent long-term negative outcomes.

The Australian Traumatic Brain Injury Initiative: Systematic Review and Consensus Process to Determine the Predictive Value of Demographic, Injury Event, and Social Characteristics on Outcomes for People With Moderate-Severe Traumatic Brain Injury

The objective of the Australian Traumatic Brain Injury (AUS-TBI) Initiative is to develop a data dictionary to inform data collection and facilitate prediction of outcomes of people who experience moderate-severe TBI in Australia. The aim of this systematic review was to summarize the evidence of the association between demographic, injury event, and social characteristics with outcomes, in people with moderate-severe TBI, to identify potentially predictive indicators. Standardized searches were implemented across bibliographic databases to March 31, 2022. English-language reports, excluding case series, which evaluated the association between demographic, injury event, and social characteristics, and any clinical outcome in at least 10 patients with moderate-severe TBI were included. Abstracts and full text records were independently screened by at least two reviewers in Covidence. A pre-defined algorithm was used to assign a judgement of predictive value to each observed association. The review findings were discussed with an expert panel to determine the feasibility of incorporation of routine measurement into standard care. The search strategy retrieved 16,685 records; 867 full-length records were screened, and 111 studies included. Twenty-two predictors of 32 different outcomes were identified; 7 were classified as high-level (age, sex, ethnicity, employment, insurance, education, and living situation at the time of injury). After discussion with an expert consensus group, 15 were recommended for inclusion in the data dictionary. This review identified numerous predictors capable of enabling early identification of those at risk for poor outcomes and improved personalization of care through inclusion in routine data collection.

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

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

Interrelationships among workload, illness severity, and function on return to work following acute respiratory distress syndrome

BACKGROUND

Inability to return to work (RTW) is common after acute respiratory distress syndrome (ARDS).

OBJECTIVES

The aim of this study is to examine interrelationships among pre-ARDS workload, illness severity, and post-ARDS cognitive, psychological, interpersonal, and physical function with RTW at 6 and 12 months after ARDS.

METHODS

We conducted a secondary analysis using the US multicentre ARDS Network Long-Term Outcomes Study. The US Occupational Information Network was used to determine pre-ARDS workload. The Mini-Mental State Examination and SF-36 were used to measure four domains of post-ARDS function. Analyses used structural equation modeling and mediation analyses.

RESULTS

Among 329 previously employed ARDS survivors, 6- and 12-month RTW rates were 52% and 56%, respectively. Illness severity (standardised coefficients range: -0.51 to -0.54, p < 0.001) had a negative effect on RTW at 6 months, whereas function at 6 months (psychological [0.42, p < 0.001], interpersonal [0.40, p < 0.001], and physical [0.43, p < 0.001]) had a positive effect. Working at 6 months (0.79 to 0.72, P < 0.001) had a positive effect on RTW at 12 months, whereas illness severity (-0.32 to -0.33, p = 0.001) and post-ARDS function (psychological [6 months: 0.44, p < 0.001; 12 months: 0.33, p = 0.002], interpersonal [0.44, p < 0.001; 0.22, p = 0.03], and physical abilities [0.47, p < 0.001; 0.33, p = 0.007]) only had an indirect effect on RTW at 12 months mediated through work at 6 months.

CONCLUSIONS

RTW at 12 months was associated with patients' illness severity; post-ARDS cognitive, psychological, interpersonal, and physical function; and working at 6 months. Among these factors, working at 6 months and function may be modifiable mediators of 12-month post-ARDS RTW. Improving ARDS survivors' RTW may include optimisation of workload after RTW, along with interventions across the healthcare spectrum to improve patients' physical, psychological, and interpersonal function.

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.

Factors associated with sustaining work after an acquired brain injury: a scoping review

PURPOSE

Maintaining work in the long term represents a major challenge for people with acquired brain injury (ABI) as evidenced by a high rate of premature labour market dropouts. The present study aimed to compile factors associated with working in the long term after sustaining an ABI.

MATERIALS AND METHODS

We carried out a scoping review synthesizing quantitative and qualitative research conducted between 2000 and 2021. Databases searched comprised PubMed, CINAHL Complete, PsycINFO, Scopus, and Web of Science.

RESULTS

Ten quantitative and nine qualitative studies were included, all but one from high-resource countries. Quantitative research predominantly comprised longitudinal follow-ups on individuals' work status several years post ABI onset, showing an effect of injury-related and sociodemographic factors. Qualitative studies mostly dealt with work maintenance and revealed a key role of cognitive difficulties, psychological personal factors (e.g., adequate coping strategies) and environmental factors (e.g., flexible work schedules, supportive colleagues).

CONCLUSIONS

The factors identified in our review should receive particular attention in vocational integration and job retention programs to support work participation of people with ABI in the long term. There is a need for measures that regularly monitor and promote a good match between individuals and their work environment.Implications for RehabilitationPeople with acquired brain injury (ABI) often have long-lasting and invisible injury-related difficulties that hamper their labour market participation.Factors identified as positively associated with working in the long term, such as coping strategies and self-awareness, should be strengthened.Future interventions should educate affected persons, employers and health care professionals about long-lasting injury-related difficulties and promote a supportive work environment for people with ABI.Prolonged availability of vocational services could be beneficial for supporting work maintenance of people with ABI.

Predictors of return to work after moderate-to-severe traumatic brain injury: a systematic review of current literature and recommendations for future research

PURPOSE

To identify factors associated with employment between six months and five years after traumatic brain injury (TBI).

METHODS

Using a predefined search algorithm, four electronic databases were searched for literature published between 2014 and the first half of April 2021 containing predictors of employment outcome. Data were selected in accordance with the PRISMA flow and the whole process was conducted by two reviewers who had to attain a consensus. The study results were discussed with an expert panel, in order to provide guidance for future research on this topic.

RESULTS

This review found clear evidence for employment status at time of injury, occupation at time of injury, Glasgow Coma Scale, length of stay, disability level and primary payer to be predictors of return to work after TBI.

CONCLUSIONS

More literature investigating in depth the functioning and environmental factors is required for further improvement of predictions, rehabilitation and policy.Implications for rehabilitationThis study identifies predictors of return to work in TBI patients, which can be used to identify patients with high risk early in the recovery process.Current literature shows difficulties with general functioning are a barrier for return to work, but gives no indication about effective therapeutic interventions.More knowledge about modifiable factors is desirable to improve rehabilitation and, thereby, employment outcomes after TBI.

Prevalence of Drinking Within Low-Risk Guidelines During the First 2 Years After Inpatient Rehabilitation for Moderate or Severe Traumatic Brain Injury

ABSTRACT

The objective of this retrospective, longitudinal study was to investigate the prevalence of drinking within the recommended limits (i.e., low-risk drinking) after moderate/severe traumatic brain injury (TBI). Data were drawn from the National Institute on Disability, Independent Living, and Rehabilitation Research TBI Model Systems National Database, a longitudinal dataset closely representative of the US adult population requiring inpatient rehabilitation for TBI. The sample included 6348 adults with moderate or severe TBI (injured October 2006-May 2016) who received inpatient rehabilitation at a civilian TBI Model Systems center and completed the alcohol consumption items preinjury and 1 and 2 yrs postinjury. National Institute on Alcohol Abuse and Alcoholism guidelines define low-risk drinking as no more than 4 drinks per day for men or 3 drinks per day for women and no more than 14 drinks per week for men or no more than 7 drinks per week for women. Low-risk drinking was common both before and after TBI, with more than 30% drinking in the low-risk level preinjury and more than 25% at 1 and 2 yrs postinjury. Postinjury, most drinkers consumed alcohol in the low-risk level regardless of preinjury drinking level. Definitive research on the long-term outcomes of low-risk alcohol consumption after more severe TBI should be a high priority.

The Traumatic Brain Injury Model Systems National Database: A Review of Published Research

The Traumatic Brain Injury Model Systems (TBIMS) is the largest longitudinal TBI data set in the world. Our study reviews the works using TBIMS data for analysis in the last 5 years. A search (2015–2020) was conducted across PubMed, EMBASE, and Google Scholar for studies that used the National Institute on Disability, Independent Living and Rehabilitation Research NIDILRR/VA-TBIMS data. Search terms were as follows: [“TBIMS” national database] within PubMed and Google Scholar, and [“TBIMS” AND national AND database] on EMBASE. Data sources, study foci (in terms of data processing and outcomes), study outcomes, and follow-up information usage were collected to categorize the studies included in this review. Variable usage in terms of TBIMS' form-based variable groups and limitations from each study were also noted. Assessment was made on how TBIMS' objectives were met by the studies. Of the 74 articles reviewed, 23 used TBIMS along with other data sets. Fifty-four studies focused on specific outcome measures only, 6 assessed data aspects as a major focus, and 13 explored both. Sample sizes of the included studies ranged from 11 to 15,835. Forty-two of the 60 longitudinal studies assessed follow-up from 1 to 5 years, and 15 studies used 10 to 25 years of the same. Prominent variable groups as outcome measures were “Employment,” “FIM,” “DRS,” “PART-O,” “Satisfaction with Life,” “PHQ-9,” and “GOS-E.” Limited numbers of studies were published regarding tobacco consumption, the Brief Test of Adult Cognition by Telephone (BTACT), the Supervision Rating Scale (SRS), general health, and comorbidities as variables of interest. Generalizability was the most significant limitation mentioned by the studies. The TBIMS is a rich resource for large-sample longitudinal analyses of various TBI outcomes. Future efforts should focus on under-utilized variables and improving generalizability by validation of results across large-scale TBI data sets to better understand the heterogeneity of TBI.

Evaluating the Cross-Sectional and Longitudinal Relationships Predicting Suicidal Ideation Following Traumatic Brain Injury

OBJECTIVE

Characterize relationships among substance misuse, depression, employment, and suicidal ideation (SI) following moderate to severe traumatic brain injury (TBI).

DESIGN

Prospective cohort study.

SETTING

Inpatient rehabilitation centers with telephone follow-up; level I/II trauma centers in the United States.

PARTICIPANTS

Individuals with moderate to severe TBI with data in both the National Trauma Data Bank and the Traumatic Brain Injury Model Systems National Database, aged 18 to 59 years, with SI data at year 1 or year 2 postinjury (N = 1377).

MAIN OUTCOME MEASURE

Primary outcome of SI, with secondary employment, substance misuse, and depression outcomes at years 1 and 2 postinjury.

RESULTS

Cross-lagged structural equation modeling analysis showed that year 1 unemployment and substance misuse were associated with a higher prevalence of year 1 depression. Depression was associated with concurrent SI at years 1 and 2. Older adults and women had a greater likelihood of year 1 depression. More severe overall injury (injury severity score) was associated with a greater likelihood of year 1 SI, and year 1 SI was associated with a greater likelihood of year 2 SI.

CONCLUSIONS

Substance misuse, unemployment, depression, and greater extracranial injury burden independently contributed to year 1 SI; in turn, year 1 SI and year 2 depression contributed to year 2 SI. Older age and female sex were associated with year 1 depression. Understanding and mitigating these risk factors are crucial for effectively managing post-TBI SI to prevent postinjury suicide.