Disparities in pre-health advising across California's public universities.

BACKGROUND: The Supreme Court's decision in Students for Fair Admissions, Inc., v. Harvard College is likely to result in the matriculation of fewer students from historically excluded racial/ethnic groups at more selective colleges and universities and matriculation of more students at less selective colleges and universities. Because of this, it is important to understand how resources for pre-health advising, a modifiable factor that can help increase the diversity of the health workforce, vary across institutions with differing levels of selectivity. Colleges are known to vary in resources, structure, and investment in pre-health advising but data are lacking and there is no estimate of any pre-health advising resource gap. PURPOSE: To quantify availability of advising resources and identify perceived challenges in pre-health advising in California's highly diverse public and select private undergraduate institutions. METHODS: Structured 60-minute Zoom interviews from June 2022 -October 2022 at 18/23 CSU (California State Universities), 9/9 University of California (UC) institutions and 6 select private institutions with varying levels of selectivity. Two investigators independently analyzed interviews using a Grounded Theory Approach. The full study team reviewed transcripts and themes. KEY RESULTS: Pre-health advisor capacity varied greatly across the three types of institutions. CSU: mean = 1 FTE advisor: 24,620 graduates (range: 1: 1,059-1: 150,520); UC mean = 1 FTE advisor: 4,526 graduates (range: 1: 1,912-1: 10,920); private institutions mean = 1 FTE advisor:1,794 graduates (range: 1: 722-1: 5,300). Participants reported common challenges: advising capacity, lack of advisor training, advisor turnover, and student difficulties in accessing clinical opportunities and required coursework. CSU and UC participants noted that these had greatest impact for first generation and racially/ethnically underrepresented students for whom lack of informal professional networks, lack of other mentors, and financial responsibilities complicate college navigation and professional school application. CONCLUSIONS: Students at CSU campuses had 5 times less access to pre-health advising per graduate than UC students, and 13 times less than students at private institutions. Much greater investment is needed in California's public institutions, particularly CSUs, to increase equity in access to advising for pre-health professional students. Research should examine pre-health advising resource capacity in other states, especially those that are now facing race-neutral admissions policies at undergraduate institutions and health professions schools.

Disparities in regional obesity rates in argentina by socioeconomic status / Disparidades en prevalencia de obesidad por región y estatus socioeconómico en Argentina

Abstract Background : Obesity rates in Latin America are increasing overall and among people with low socio economic status (SES). Obesity and SES disparities can vary by region-a valuable indicator of local drivers. The objective of this study was to examine regional and SES differences in obesity in Argentina. Methods : We used data from Argentina's 4th Na tional Risk Factors Survey (n = 29226) 2018 and defined obesity as BMI ≥ 30. Low SES was defined as not fin ished high school or having a household income in the lowest two quintiles. Descriptive analysis stratified by sex compared obesity rates by SES, province, and re gion. Age-adjusted logistic regression models explored the association between obesity, socioeconomic status, and region. Results : Obesity rates varied more by SES among women (39% for low SES vs. 26% for middle/high SES; p < 0.001) than among men (33% low SES vs. 29% middle/ high SES; p = 0.027). The Patagonian region had the high est obesity prevalence for both men (36%) and women (37%). A gender-stratified age-adjusted analysis with region and SES showed that low SES (OR 1.72, 95% CI 1.45, 2.03) and the Patagonian region (OR 1.29, 95% CI 1.02, 1.62) were the only significant predictors for women. Conclusions : SES associated disparities in obesity in Argentina were pronounced for women but not men. Disparities were particularly high in Patagonia. Further research is needed to understand the drivers behind these SES, regional, and gender disparities.

Resumen Introducción : Las tasas de obesidad en América La tina están aumentando, tanto en la población general como entre las personas con bajo nivel socioeconómi co (NSE). Las disparidades en obesidad y NSE pueden variar ampliamente según la región, un indicador po tencialmente valioso de fenómenos causales locales. El objetivo de este estudio fue examinar las diferencias en la prevalencia de obesidad a nivel regional y según el NSE en Argentina. Métodos : Utilizamos datos de la 4ª Encuesta Nacio nal de Factores de Riesgo realizada en Argentina en 2018 (n = 29226). Definimos obesidad como índice de masa corporal ≥ 30, y bajo NSE como no haber termi nado la escuela secundaria o tener un ingreso familiar en los dos quintiles más bajos. El análisis descriptivo estratificado por sexo comparó la prevalencia de obe sidad por NSE, provincia y región. Además, utilizamos modelos de regresión logística ajustados por edad para explorar la asociación entre obesidad, nivel socioeconó mico y región, tanto globalmente como estratificando por sexo.367 Resultados : Las tasas de obesidad variaron más por NSE entre las mujeres (39% NSE bajo vs. 26% NSE medio/ alto; p < 0.001) que entre los hombres (33% NSE bajo vs. 29% NSE medio/alto; p = 0.027). La región patagónica tuvo la mayor prevalencia de obesidad tanto para hom bres (36%) como para mujeres (37%). Un análisis estra tificado por género, con región y NSE como covariables, mostró que el bajo NSE (OR 1.72, IC 95% 1.45, 2.03) y la región patagónica (OR 1.29, IC 95% 1.02, 1.62) fueron los únicos predictores significativos para las mujeres; nin guno se asoció significativamente con un mayor riesgo de obesidad para los hombres. Conclusiones : Las disparidades asociadas al NSE en la obesidad en Argentina fueron pronunciadas entre mujeres, pero no entre hombres. Las disparidades fueron particularmente altas en la Patagonia. Se necesita más estudios para comprender los factores detrás de estas disparidades de NSE, regionales y de género.

[Disparities in regional obesity rates in Argentina by socioeconomic status]. / Disparidades en prevalencia de obesidad por región y estatus socioeconómico en Argentina.

BACKGROUND: Obesity rates in Latin America are increasing overall and among people with low socioeconomic status (SES). Obesity and SES disparities can vary by region-a valuable indicator of local drivers. The objective of this study was to examine regional and SES differences in obesity in Argentina. METHODS: We used data from Argentina's 4th National Risk Factors Survey (n = 29226) 2018 and defined obesity as BMI = 30. Low SES was defined as not finished high school or having a household income in the lowest two quintiles. Descriptive analysis stratified by sex compared obesity rates by SES, province, and region. Age-adjusted logistic regression models explored the association between obesity, socioeconomic status, and region. RESULTS: Obesity rates varied more by SES among women (39% for low SES vs. 26% for middle/high SES; p < 0.001) than among men (33% low SES vs. 29% middle/ high SES; p = 0.027). The Patagonian region had the highest obesity prevalence for both men (36%) and women (37%). A gender-stratified age-adjusted analysis with region and SES showed that low SES (OR 1.72, 95% CI 1.45, 2.03) and the Patagonian region (OR 1.29, 95% CI 1.02, 1.62) were the only significant predictors for women. CONCLUSIONS: SES associated disparities in obesity in Argentina were pronounced for women but not men. Disparities were particularly high in Patagonia. Further research is needed to understand the drivers behind these SES, regional, and gender disparities.

Introducción: Las tasas de obesidad en América Latina están aumentando, tanto en la población general como entre las personas con bajo nivel socioeconómico (NSE). Las disparidades en obesidad y NSE pueden variar ampliamente según la región, un indicador potencialmente valioso de fenómenos causales locales. El objetivo de este estudio fue examinar las diferencias en la prevalencia de obesidad a nivel regional y según el NSE en Argentina. Métodos: Utilizamos datos de la 4° Encuesta Nacional de Factores de Riesgo realizada en Argentina en 2018 (n = 29226). Definimos obesidad como índice de masa corporal = 30, y bajo NSE como no haber terminado la escuela secundaria o tener un ingreso familiar en los dos quintiles más bajos. El análisis descriptivo estratificado por sexo comparó la prevalencia de obesidad por NSE, provincia y región. Además, utilizamos modelos de regresión logística ajustados por edad para explorar la asociación entre obesidad, nivel socioeconómico y región, tanto globalmente como estratificando por sexo.Resultados: Las tasas de obesidad variaron más por NSE entre las mujeres (39% NSE bajo vs. 26% NSE medio/alto; p < 0.001) que entre los hombres (33% NSE bajo vs. 29% NSE medio/alto; p = 0.027). La región patagónica tuvo la mayor prevalencia de obesidad tanto para hombres (36%) como para mujeres (37%). Un análisis estratificado por género, con región y NSE como covariables, mostró que el bajo NSE (OR 1.72, IC 95% 1.45, 2.03) y la región patagónica (OR 1.29, IC 95% 1.02, 1.62) fueron los únicos predictores significativos para las mujeres; ninguno se asoció significativamente con un mayor riesgo de obesidad para los hombres. Conclusiones: Las disparidades asociadas al NSE en la obesidad en Argentina fueron pronunciadas entre mujeres, pero no entre hombres. Las disparidades fueron particularmente altas en la Patagonia. Se necesita más estudios para comprender los factores detrás de estas disparidades de NSE, regionales y de género.

Evaluation of Commercially Available Machine Interpretation Applications for Simple Clinical Communication.

BACKGROUND: Accessing professional medical interpreters for brief, low risk exchanges can be challenging. Machine translation (MT) for verbal communication has the potential to be a useful clinical tool, but few evaluations exist. OBJECTIVE: We evaluated the quality of three MT applications for English-Spanish and English-Mandarin two-way interpretation of low complexity brief clinical communication compared with human interpretation. DESIGN: Audio-taped phrases were interpreted via human and 3 MT applications. Bilingual assessors evaluated the quality of MT interpretation on four assessment categories (accuracy, fluency, meaning, and clinical risk) using 5-point Likert scales. We used a non-inferiority design with 15% inferiority margin to evaluate the quality of three MT applications with professional medical interpreters serving as gold standards. MAIN MEASURES: Proportion of interpretation exchanges deemed acceptable, defined as a composite score of 16 or greater out of 20 based on the four assessment categories. KEY RESULTS: For English to Spanish, the proportion of MT-interpreted phrases scored as acceptable ranged from 0.68 to 0.84, while for English to Mandarin, the range was from 0.62 to 0.76. Both Spanish/Mandarin to English MT interpretation had low acceptable scores (range 0.36 to 0.41). No MT interpretation met the non-inferiority threshold. CONCLUSION: While MT interpretation was better for English to Spanish or Mandarin than the reverse, the overall quality of MT interpretation was poor for two-way clinical communication. Clinicians should advocate for easier access to professional interpretation in all clinical spaces and defer use of MT until these applications improve.

COVID-19 Vaccination Perceptions Among Young Adults of Color in the San Francisco Bay Area.

Background: COVID-19 vaccination rates among U.S. young adults, particularly in communities of color, remain lower than other age groups. We conducted a qualitative, community-based participatory study to explore beliefs and attitudes about COVID-19 vaccines among young adults in Black/African American, Latinx, and Asian American or Pacific Islander (AAPI) communities in the San Francisco Bay Area. Methods: We conducted six focus groups between June and August 2021. Participants were recruited by partnering with community-based organizations in the San Francisco Bay Area. Focus groups included Black/African American (N=13), Latinx (N=20), and AAPI (N=12) participants between 18 and 30 years of age. Emerging themes were identified using a modified Grounded Theory approach. Results: Prominent themes among all three racial-ethnic groups included mistrust in medical and government institutions, strong conviction about self-agency in health decision-making, and exposure to a thicket of contradictory information and misinformation in social media. Social benefit and a sense of familial and societal responsibility were often mentioned as reasons to get vaccinated. Young adult mistrust had a generational flavor fueled by anger about increasing inequity, the profit-orientation of pharmaceutical companies and health institutions, society's failure to rectify injustice, and pessimism about life prospects. Conclusion: Factors influencing vaccine readiness among Black/African American, Latinx, and AAPI young adults have a distinct generational and life-course texture. Outreach efforts should appeal to young adults' interest in family and social responsibility and the social benefits of vaccination, while being cognizant of the friction mandates pose for young adults' sense of self-agency. Efforts will be most effective coming from trusted messengers with a proven commitment to communities of color and health equity.

COVID-19 vaccination readiness among multiple racial and ethnic groups in the San Francisco Bay Area: A qualitative analysis.

BACKGROUND: COVID-19 vaccination rates are lower among historically marginalized populations, including Black/African American and Latinx populations, threatening to contribute to already high COVID-19 morbidity and mortality disparities for these groups. We conducted a community-based participatory research study using qualitative methods to explore knowledge and beliefs about COVID-19 vaccination among Black/African American, Latinx, and Chinese American residents of the San Francisco Bay Area and assess their views on vaccination outreach and delivery strategies. METHODS AND FINDINGS: Data were collected from January 14, 2021, to February 24, 2021, with adult residents (N = 109 [Female: N = 76; 70%]) in San Francisco. Focus groups (N = 10) and in-depth interviews (N = 25) were conducted among Black/African Americans (N = 35), Latinx (N = 40), and Chinese Americans (n = 34) in English, Spanish, Cantonese, or Mandarin. Themes were identified using grounded field theory, and included misinformation, mistrust of government and health institutions, and linguistic and other barriers to vaccine access. All three racial/ethnic groups had experiences with vaccine misinformation and information overload. Many African American and Latinx participants cited structural and interpersonal racism, and anti-immigrant discrimination, as factors reducing their trust in government and public health disseminated information and their willingness to be vaccinated. Participants expressed trust in community-based organizations, including faith-based organizations and community-run clinics. Participants often experienced barriers to vaccine access, such as transportation to drive-in sites, with Latinx and Chinese American groups also frequently citing language barriers. CONCLUSIONS: Vaccine outreach strategies must acknowledge how longstanding systemic, institutional, and structural racism contributes to mistrust in government and health institutions and engage with and support trusted messengers from the community to eliminate cultural, linguistic, and other barriers to vaccine access.