U.S. vs. Foreign Nativity and 10-Year Trajectories of Mental Health after Traumatic Brain Injury: A Model Systems Study.

BACKGROUND: Previous research has found racial and ethnic disparities in life satisfaction, depression, and anxiety after traumatic brain injury (TBI). However, limited studies have examined differences in these variables between U.S.- and foreign-born individuals with TBI. The purpose of this study was to examine whether differences exist in mental health outcomes between U.S.- and foreign-born individuals with TBI at 1, 2, 5, and 10 years after injury, as well as examine whether demographic and injury-related characteristics account for these differences. METHOD: Participants were 8289 individuals with TBI who identified as U.S.-born and 944 who identified as born outside the U.S. in the TBI Model Systems study. Participants completed measures of mental health outcomes at 1, 2, 5, and 10 years after injury. RESULTS: Foreign-born individuals with TBI had comparable levels of depression and anxiety trajectories to U.S.-born individuals, yet higher life satisfaction trajectories, even after controlling for demographic and injury-related variables. CONCLUSION: Rehabilitation professionals should consider in their clinical work the mechanisms that likely influence mental health outcomes among foreign-born individuals, including family-based values that increase resilience, as well as the possible under-reporting of mental health symptoms along the lines of cultural norms.

Exploring racial/ethnic disparities in rehabilitation outcomes after TBI: A Veterans Affairs Model Systems study.

BACKGROUND: Almost one-third of the U.S. military population is comprised of service members and veterans (SMVs) of color. Research suggests poorer functional and psychosocial outcomes among Black and Hispanic/Latine vs. White civilians following traumatic brain injury (TBI). OBJECTIVE: This study examined racial/ethnic differences in 5-year functional independence and life satisfaction trajectories among SMVs who had undergone acute rehabilitation at one of five Veterans Affairs (VA) TBI Model Systems (TBIMS) Polytrauma Rehabilitation Centers (PRCs). METHODS: Differences in demographic and injury-related factors were assessed during acute rehabilitation among White (n = 663), Black (n = 89), and Hispanic/Latine (n = 124) groups. Functional Independence Measure (FIM) Motor, FIM Cognitive, and Satisfaction with Life Scale (SWLS) scores were collected at 1, 2, and 5 years after injury. Racial/ethnic comparisons in these outcome trajectories were made using hierarchical linear modeling. RESULTS: Black SMVs were less likely than White and Hispanic/Latine SMVs to have been deployed to a combat zone; there were no other racial/ethnic differences in any demographic or injury-related variable assessed. In terms of outcomes, no racial/ethnic differences emerged in FIM Motor, FIM cognitive, or SWLS trajectories. CONCLUSION: The absence of observable racial/ethnic differences in 5-year outcome trajectories after TBI among SMVs from VA TBIMS PRCs contrasts sharply with previous research identifying disparities in these same outcomes and throughout the larger VA health care system. Individuals enrolled in VA PRCs are likely homogenized on key social determinants of health that would otherwise contribute to racial/ethnic disparities in outcome trajectories.

15-item version of the Boston Naming Test: Normative data for the Latin American Spanish-speaking adult population.

OBJECTIVE: Naming is commonly impaired in people with neurodegenerative diseases and brain injury, and as a result, its accurate assessment is essential. The aim of this study was to provide normative data for the 15-item Spanish version of the Boston Naming Test (BNT) for an adult population from eight Latin American countries/regions. METHOD: The total sample consisted of 2,828 participants from Argentina, Chile, Cuba, El Salvador, Mexico, Honduras, Paraguay, and Puerto Rico. Multiple regressions were used to generate normative data following a four-step process. RESULTS: Regression models showed a linear effect of age on the 15-item BNT total score for Argentina, Chile, Mexico, and Puerto Rico. In contrast, Paraguay showed a quadratic age effect. Almost all countries showed a positive linear effect of education, except Cuba which had a quadratic effect. Sex was a significant predictor in Argentina, Chile, Cuba, and Mexico, where in women scored lower than men. CONCLUSIONS: This study generates normative data for the 15-item Spanish version of the BNT and offers a free open-source calculator that will assist in the efficacious use of this neuropsychological test in clinical practice and research. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Trajectories of Cognitive and Motor Functional Independence in Hispanic Individuals During the 10 yrs After Traumatic Brain Injury.

OBJECTIVE: This study examined demographic and injury-related predictors of cognitive and motor functional independence in Hispanics with traumatic brain injury at years 1, 2, 5, and 10 after hospital discharge. DESIGN: Hispanic participants ( n = 1360) from the TBI Model Systems Study were included if they had at least one Functional Independence Measure (FIM) Cognitive and Motor score at any time point (years 1, 2, 5, or 10). Hierarchical linear modeling was used to examine baseline predictors of FIM Cognitive and Motor trajectories across this period. RESULTS: FIM Cognitive trajectories showed a quadratic movement (initial increase followed by a plateau or slight decrease), whereas FIM Motor trajectories showed a cubic movement (initial increase, followed by a plateau, then another increase). Higher FIM Cognitive trajectories were predicted by younger age, shorter length of posttraumatic amnesia, higher education, and having experienced a nonviolent mechanism of injury. Higher FIM Motor trajectories were predicted by younger age, shorter posttraumatic amnesia, and a nonviolent mechanism of injury. CONCLUSIONS: The baseline predictors of functional trajectories identified may help create tailored, evidence-based rehabilitation interventions along the continuum of recovery during the first 10 yrs for Hispanics with traumatic brain injury at risk for reduced functional outcomes.

Barriers and Facilitators to Psychologists' Telepsychology Uptake during the Beginning of the COVID-19 Pandemic.

The COVID-19 pandemic transformed the delivery of psychological services as many psychologists adopted telepsychology for the first time or dramatically increased their use of it. The current study examined qualitative and quantitative data provided by 2619 practicing psychologists to identify variables facilitating and impeding the adoption of telepsychology in the U.S. at the beginning of the COVID-19 pandemic. The top five reported barriers were: inadequate access to technology, diminished therapeutic alliance, technological issues, diminished quality of delivered care or effectiveness, and privacy concerns. The top five reported facilitators were: increased safety, better access to patient care, patient demand, efficient use of time, and adequate technology for telepsychology use. Psychologists' demographic and practice characteristics robustly predicted their endorsement of telepsychology barriers and facilitators. These findings provide important context into the implementation of telepsychology at the beginning of the pandemic and may serve future implementation strategies in clinics and healthcare organizations attempting to increase telepsychology utilization.

Clinical utility and psychometric properties of the Ableist Microaggressions Scale.

Comments on an article by K. J. Conover et al. (see record 2017-30398-007). Conover and colleagues developed and validated the self report Ableist Microaggressions Scale (AMS). Using factor analysis, the authors identified four subscales, including Helplessness, Minimization, Denial of Personhood, and Otherization. The psychometric properties of the AMS have been examined with adults with a range of disability types. The AMS consists of 20 items, and each item is scored on a 6- point Likert scale ranging from 0 (never) to 5 (very frequently). Total score ranges from 0 to 100, with higher scores reflecting greater experiences of microaggressions. Three positively worded items are reverse scored. The initial validation study included a sample size of 1,392 participants with various types of disabilities, an average age of 34, and a higher proportion of participants who identified as female relative to other sex/gender expressions, the majority of the sample identified as heterosexual and White. In this study, the AMS had good total-score internal consistency with a Cronbach's alpha of .91; three of the four subscales generally showed adequate as given their number of items: .83 for Helplessness, .90 for Denial of Personhood, and .84 for Otherization. However, the Minimization subscale displayed relatively weaker internal consistency with an a of .65. Additionally, the AMS showed adequate item-total correlations ranging from .21 to .77. Despite the high potential of the AMS to be used in research and clinical work, there are several limitations. The original validation study sample was comprised primarily of White heterosexual participants which may warrant caution in applications to racially/ethnically diverse groups and sexual minorities. Because individuals with mild-to-moderate disability may be less likely to participate in research, caution should also be exercised regarding generalizability to and use with more severe disability groups, including individuals with psychiatric disabilities. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Spanish Translation and Psychometric Validation of a Measure of Acculturative Stress among Latinx Immigrants in the USA.

BACKGROUND: In the United States, the Latinx community is growing at a faster rate than any other racial or ethnic minority group. Members of this community have been found to experience a number of acculturative stressors after immigrating, including xenophobia, racism, and discrimination. Although several scales have been created in recent years to measure acculturative stress in Spanish-speaking immigrants, they are long, do not have nuanced subscales, or have not been validated in an extremely diverse sample of Latinx immigrants. OBJECTIVE: The purpose of the current study was to translate and psychometrically validate the Riverside Acculturative Stress Inventory (RASI) in a diverse sample of Spanish-speaking immigrants. METHODS: A sample of 202 Latinx immigrants in the United States completed the RASI as well as measures of depression and anxiety. RESULTS: An initial confirmatory factor analysis suggested that the overall subscale factor structure was not an ideal fit for the data. An exploratory factor analysis suggested the retention of four subscales, each with three items, forming a 12-item Spanish RASI short form. As indices of convergent validity, the RASI total score was positively associated with depression and anxiety. CONCLUSIONS: The findings from the study contribute to the literature a brief and valid assessment of acculturative stress in Spanish-speaking immigrants. The RASI Spanish short form holds promise to stimulate research on the unique adversities experienced by Latinx immigrants.

Exploring racial performance disparities with the Modified Mini-Mental State Exam (3MS) in an acute brain injury rehabilitation setting.

PURPOSE/OBJECTIVE: The Modified Mini-Mental State Exam (3MS) is a brief, widely used cognitive screening tool. This study examined differences in 3MS performance between Black and White individuals undergoing acute brain injury rehabilitation. RESEARCH METHOD/DESIGN: Participants were Black (44.1%; n = 78) and White (55.9%; n = 99) individuals admitted over a 2-year period to inpatient rehabilitation for an acute neurological injury or illness at a major, urban mid-Atlantic medical center. An attending psychologist administered the 3MS during assessment at admission, and demographic and injury-related information was extracted from electronic medical records. RESULTS: While there were no significant racial differences in the subsamples' gender, employment status, marital status, years of education, or days on the rehabilitation unit, Black participants were older and had a higher proportion of focal injuries or stroke. There were no significant racial differences in 3MS total scores. At the item level, Black participants scored lower on abstract reasoning, repetition, visuospatial construction, and comprehension. When adjusting for age and type of injury, significant differences remained in repetition and comprehension. The 3MS's internal consistency was adequate and comparable across races, as were item-total correlations, with the exception of White participants having a larger item-total correlation for the basic attention item. CONCLUSIONS/IMPLICATIONS: These findings underscore a point of caution about interpreting the results of a cognitive screening measure like the 3MS without the context of an individual's neurological history and race. Black individuals might be at risk for being inappropriately screened to be cognitively impaired, and some level of racial sensitivity should be taken at the item level for repetition and comprehension constructs. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Network Analysis of Neurobehavioral Symptom Patterns in an International Sample of Spanish-Speakers with a History of COVID-19 and Controls.

(1) Background: Psychometric network analysis provides a novel statistical approach allowing researchers to model clusters of related symptoms as a dynamic system. This study applied network analysis to investigate the patterns of somatic, cognitive, and affective neurobehavioral symptoms in an international sample of Spanish-speaking individuals with a history of COVID-19 positivity and non-COVID controls; (2) methods: the sample (n = 1093) included 650 adults from 26 countries who reported having previously tested positive for COVID-19 (COVID+) through a viral and/or antigen test (average of 147 days since diagnosis). The control group (COVID-) was comprised of 443 adults from 20 countries who had completed the survey prior to the COVID-19 pandemic; (3) results: relative to the COVID- network, the COVID+ network was very well-connected, such that each neurobehavioral symptom was positively connected to the network. The organize-to-headache and dizzy-to-balance connections in the COVID+ network were stronger than in the COVID- network. The hearing, numbness, and tense symptoms were more central to the COVID+ network with the latter connected to the sleep, fatigue, and frustrated symptoms. The COVID- network was largely disjointed, with most of the somatosensory symptoms forming their own cluster with no connections to other symptom groups and fatigue not being connected to any other symptom. The cognitive and affective symptoms in the COVID- network were also largely connected to symptoms from within their own groups; (4) conclusions: These findings suggest that many of the long-term neurobehavioral symptoms of COVID-19 form a discernable network and that headaches, frustration, hearing problems, forgetfulness, and tension are the most central symptoms. Cognitive and behavioral rehabilitation strategies targeting these central symptom network features may hold promise to help fracture the lingering symptom network of COVID-19.

The Structure of Competence: Evaluating the Factor Structure of the Cognitive Therapy Rating Scale.

The Cognitive Therapy Rating Scale (CTRS) is an observer-rated measure of cognitive behavioral therapy (CBT) treatment fidelity. Although widely used, the factor structure and psychometric properties of the CTRS are not well established. Evaluating the factorial validity of the CTRS may increase its utility for training and fidelity monitoring in clinical practice and research. The current study used multilevel exploratory factor analysis to examine the factor structure of the CTRS in a large sample of therapists (n = 413) and observations (n = 1,264) from community-based CBT training. Examination of model fit and factor loadings suggested that three within-therapist factors and one between-therapist factor provided adequate fit and the most parsimonious and interpretable factor structure. The three within-therapist factors included items related to (a) session structure, (b) CBT-specific skills and techniques, and (c) therapeutic relationship skills, although three items showed some evidence of cross-loading. All items showed moderate to high loadings on the single between-therapist factor. Results support continued use of the CTRS and suggest factors that may be a relevant focus for therapists, trainers, and researchers.

Provider Contributions to Disparities in Mental Health Care.

OBJECTIVE: Disparities in diagnosis of mental health problems and in access to treatment among racial-ethnic groups are apparent across different behavioral conditions, particularly in the quality of treatment for depression. This study aimed to determine how much disparities differ across providers. METHODS: Bayesian mixed-effects models were used to estimate whether disparities in patient adherence to antidepressant medication (N=331,776) or psychotherapy (N=275,095) were associated with specific providers. Models also tested whether providers who achieved greater adherence to treatment, on average, among non-Hispanic white patients than among patients from racial-ethnic minority groups attained lower disparities and whether the percentage of patients from racial-ethnic minority groups in a provider caseload was associated with disparities. RESULTS: Disparities in adherence to both antidepressant medication and psychotherapy were associated with the provider. Provider performance with non-Hispanic white patients was negatively correlated with provider-specific disparities in adherence to psychotherapy but not to antidepressants. A higher proportion of patients from racial-ethnic minority groups in a provider's caseload was associated with lower adherence among non-Hispanic white patients, lower disparities in adherence to psychotherapy, and greater disparities in adherence to antidepressant medication. CONCLUSIONS: Adherence to depression treatment among a provider's patients from racial-ethnic minority groups was related to adherence among that provider's non-Hispanic white patients, but evidence also suggested provider-specific disparities. Efforts among providers to decrease disparities might focus on improving the general skill of providers who treat more patients from racial-ethnic minority groups as well as offering culturally based training to providers with notable disparities.

Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.

OBJECTIVE: Amid electronic health records, laboratory tests, and other technology, office-based patient and provider communication is still the heart of primary medical care. Patients typically present multiple complaints, requiring physicians to decide how to balance competing demands. How this time is allocated has implications for patient satisfaction, payments, and quality of care. We investigate the effectiveness of machine learning methods for automated annotation of medical topics in patient-provider dialog transcripts. MATERIALS AND METHODS: We used dialog transcripts from 279 primary care visits to predict talk-turn topic labels. Different machine learning models were trained to operate on single or multiple local talk-turns (logistic classifiers, support vector machines, gated recurrent units) as well as sequential models that integrate information across talk-turn sequences (conditional random fields, hidden Markov models, and hierarchical gated recurrent units). RESULTS: Evaluation was performed using cross-validation to measure 1) classification accuracy for talk-turns and 2) precision, recall, and F1 scores at the visit level. Experimental results showed that sequential models had higher classification accuracy at the talk-turn level and higher precision at the visit level. Independent models had higher recall scores at the visit level compared with sequential models. CONCLUSIONS: Incorporating sequential information across talk-turns improves the accuracy of topic prediction in patient-provider dialog by smoothing out noisy information from talk-turns. Although the results are promising, more advanced prediction techniques and larger labeled datasets will likely be required to achieve prediction performance appropriate for real-world clinical applications.

"It's hard to argue with a computer:" Investigating Psychotherapists' Attitudes towards Automated Evaluation.

We present CORE-MI, an automated evaluation and assessment system that provides feedback to mental health counselors on the quality of their care. CORE-MI is the first system of its kind for psychotherapy, and an early example of applied machine-learning in a human service context. In this paper, we describe the CORE-MI system and report on a qualitative evaluation with 21 counselors and trainees. We discuss the applicability of CORE-MI to clinical practice and explore user perceptions of surveillance, workplace misuse, and notions of objectivity, and system reliability that may apply to automated evaluation systems generally.

Designing Contestability: Interaction Design, Machine Learning, and Mental Health.

We describe the design of an automated assessment and training tool for psychotherapists to illustrate challenges with creating interactive machine learning (ML) systems, particularly in contexts where human life, livelihood, and wellbeing are at stake. We explore how existing theories of interaction design and machine learning apply to the psychotherapy context, and identify "contestability" as a new principle for designing systems that evaluate human behavior. Finally, we offer several strategies for making ML systems more accountable to human actors.