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

BACKGROUND: In the U.S., the Latinx community is growing at a faster rate than any other racial and 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 U.S. completed the RASI as well as measures of depression and anxiety. RESULTS: An initial confirmatory factor analysis suggested at the overall subscale factor structure was not an ideal fit for the data. 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: 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.https://scholarscompass.vcu.edu/uresposters/1418/thumbnail.jp

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

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

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

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

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

ObjectiveAmid 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 methodsWe 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).ResultsEvaluation 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.ConclusionsIncorporating 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

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

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\u27s 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\u27s patients from racial-ethnic minority groups was related to adherence among that provider\u27s 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