Multiple Chronic Condition Emergency Department Visits Among U.S. Adults: Disparities at the Intersection of Intellectual and Developmental Disabilities Status and Race or Ethnicity.

Background: The study aims to examine the risk of multiple chronic condition (MCC)-related emergency department (ED) visits, MCC-related hospitalization following the ED visit, and mortality after MCC-related ED visits among adults with intellectual and developmental disabilities (IDD), adults compared with nondisabled adults by race and ethnicity, using the 2020 Healthcare Cost and Utilization Project Nationwide Emergency Department Sample. Methods: We identified IDD adults using ICD-10-CM codes, extracting 296,394 nondisabled adults and 99,538 IDD adults, of which 67,771 are white, 19,164 are black, 10,667 are Latinx, and 1936 are other race or multiple race. The control group of nondisabled adults was age-matched and sex-matched in a 1:3 case-control ratio. We conducted multilevel Poisson regression models for the binary-dependent variables and adjusted for covariates, including sociodemographic and hospital characteristics. Results: The results show that across all racial/ethnic groups, individuals with IDD have significantly higher rates of MCC-related ED visits, hospitalizations, and deaths compared with nondisabled. Moreover, the disparities are more pronounced for individuals from racial/ethnic minority groups. Black and Latinx individuals with IDD have significantly higher rates of MCC-related ED visits and poor outcomes than their white counterparts with and without IDD. Conclusions: The findings from this study highlight significant racial and ethnic disparities in the risk of MCC-related ED visits, hospitalization following the ED visit, and mortality through the ED among IDD adults. This underscores the importance of adopting a multifaceted approach that addresses the social determinants of health, enhances access to health care, improves quality of care, and enhances care coordination.

Race, ethnicity, ancestry, and aspects that impact HLA data and matching for transplant.

Race, ethnicity, and ancestry are terms that are often misinterpreted and/or used interchangeably. There is lack of consensus in the scientific literature on the definition of these terms and insufficient guidelines on the proper classification, collection, and application of this data in the scientific community. However, defining groups for human populations is crucial for multiple healthcare applications and clinical research. Some examples impacted by population classification include HLA matching for stem-cell or solid organ transplant, identifying disease associations and/or adverse drug reactions, defining social determinants of health, understanding diverse representation in research studies, and identifying potential biases. This article describes aspects of race, ethnicity and ancestry information that impact the stem-cell or solid organ transplantation field with particular focus on HLA data collected from donors and recipients by donor registries or transplant centers.

Determinants of automatic age and race bias: ingroup-outgroup distinction salience moderates automatic evaluations of social groups.

Introduction: The present research investigates whether ingroup-outgroup distinction salience moderates automatic intergroup bias (i.e., more positive evaluations of ingroup targets relative to outgroup targets) toward multiply categorizable social targets. Methods: In two experiments, we manipulated the salience of participants' social identity based on age vs. race, respectively. Afterwards, we measured automatic evaluations of social targets varying in age and race. Results: Young White participants exhibited higher automatic race bias when their racial identity (i.e., White in contrast to Black) was salient. Conversely, they exhibited higher automatic age bias when their age identity (i.e., young in contrast to old) was salient. Discussion: Going beyond previous research, we show that it is sufficient to direct participants' attention to their ingroup-identity in contrast to the respective outgroup to cause changes in automatic intergroup bias. This is important because it provides a strong test of the hypothesis that ingroup-outgroup distinction salience moderates automatic intergroup bias.

Ethical and Equitable Digital Health Research: Ensuring Self-Determination in Data Governance for Racialized Communities.

Recent studies highlight the need for ethical and equitable digital health research that protects the rights and interests of racialized communities. We argue for practices in digital health that promote data self-determination for these communities, especially in data collection and management. We suggest that researchers partner with racialized communities to curate data that reflects their wellness understandings and health priorities, and respects their consent over data use for policy and other outcomes. These data governance approach honors and builds on Indigenous Data Sovereignty (IDS) decolonial scholarship by Indigenous and non-indigenous researchers and its adaptations to health research involving racialized communities from former European colonies in the global South. We discuss strategies to practice equity, diversity, inclusion, accessibility and decolonization (EDIAD) principles in digital health. We draw upon and adapt the concept of Precision Health Equity (PHE) to emphasize models of data sharing that are co-defined by racialized communities and researchers, and stress their shared governance and stewardship of data that is generated from digital health research. This paper contributes to an emerging research on equity issues in digital health and reducing health, institutional, and technological disparities. It also promotes the self-determination of racialized peoples through ethical data management.

Implementation Science to Achieve Equity in Heart Failure Care: A Scientific Statement From the American Heart Association.

Guideline-directed medical therapies and guideline-directed nonpharmacological therapies improve quality of life and survival in patients with heart failure (HF), but eligible patients, particularly women and individuals from underrepresented racial and ethnic groups, are often not treated with these therapies. Implementation science uses evidence-based theories and frameworks to identify strategies that facilitate uptake of evidence to improve health. In this scientific statement, we provide an overview of implementation trials in HF, assess their use of conceptual frameworks and health equity principles, and provide pragmatic guidance for equity in HF. Overall, behavioral nudges, multidisciplinary care, and digital health strategies increased uptake of therapies in HF effectively but did not include equity goals. Few HF studies focused on achieving equity in HF by engaging stakeholders, quantifying barriers and facilitators to HF therapies, developing strategies for equity informed by theory or frameworks, evaluating implementation measures for equity, and titrating strategies for equity. Among these HF equity studies, feasibility was established in using various educational strategies to promote organizational change and equitable care. A couple include ongoing randomized controlled pragmatic trials for HF equity. There is great need for additional HF implementation trials designed to promote delivery of equitable guideline-directed therapy.

Diversity Plans and Postmarketing Studies: First Impressions of Anticipated Diversity Requirements in the United States.

INTRODUCTION: Recent Food and Drug Administration (FDA) draft guidelines are intended to improve representation and formalize the assessment of race and ethnicity in drug development, but how regulators and industry stakeholders plan to implement and enforce new requirements is still being determined. MATERIALS AND METHODS: Here, a 10-question survey was developed to assess the experiences of industry stakeholders in developing diversity plans. These survey results informed an analysis of postmarketing studies to understand how diversity requirements have been enforced to date. RESULTS AND DISCUSSION: Among 13 survey responders, experience submitting and receiving feedback on diversity plans was limited. A variety of challenges have been associated with developing these plans, including questions regarding regulatory guidance. Sponsors have utilized several data sources, including real-world datasets, to define enrollment goals. Diversity-related postmarketing studies most commonly related to oncologic diseases, and endpoints frequently related to efficacy. Most marketing applications associated with diversity-related postmarketing studies received Orphan drug designation (ODD) and Accelerated Approval. CONCLUSIONS: These results show that industry experience with diversity plans remains limited in the absence of finalized regulatory guidance. Sponsors are beginning to develop strategies for submitting diversity plans, which include identifying key functions and data sources to support enrollment goals, although definitive conclusions were difficult to draw from the small responder pool. In the postmarketing setting, studies are already underway to improve the understanding of racial and ethnic differences in responses to approved drugs. Development programs relating to oncology, which has historically suffered from a lack of diverse representation, have been a primary focus of such studies thus far.

Race and indigeneity in human microbiome science: microbiomisation and the historiality of otherness.

This article reformulates Stephan Helmreich´s the ¨microbiomisation of race¨ as the historiality of otherness in the foundations of human microbiome science. Through the lens of my ethnographic fieldwork of a transnational community of microbiome scientists that conducted a landmark human microbiome research on indigenous microbes and its affiliated and first personalised microbiome initiative, the American Gut Project, I follow and trace the key actors, experimental systems and onto-epistemic claims in the emergence of human microbiome science a decade ago. In doing so, I show the links between the reinscription of race, comparative research on the microbial genetic variation of human populations and the remining of bioprospected data for personalised medicine. In these unpredictable research movements, the microbiome of non-Western peoples and territories is much more than a side project or a specific approach within the field: it constitutes the nucleus of its experimental system, opening towards subsequent and cumulative research processes and knowledge production in human microbiome science. The article demonstrates that while human microbiome science is articulated upon the microbial 'makeup' of non-wester(nised) communities, societies, and locales, its results and therapeutics are only applicable to medical conditions affecting rich nations (i.e., inflammatory, autoimmune, and metabolic diseases). My reformulation of ¨microbiomisation of race¨ as the condition of possibility of human microbiome science reveals that its individual dimension is sustained by microbial DNA data from human populations through bioprospecting practices and gains meaning through personalised medicine initiatives, informal online networks of pseudoscientific and commodified microbial-related evidence.

Growth and Fruit morphometric characteristics of local avocado germplasm (Persea americana Mill.) grown in northern Tanzania.

Tanzania has a diverse agroecological area suitable for growing tropical fruits, including avocados. In Northern Tanzania, avocados have been growing under variable soil and altitudinal characteristics for over 100 years, allowing the naturalisation of this crop in this region. However, the region's avocado germplasm is uncharacterised, thus impeding the selection of elite genotypes for increased value and breeding programmes. This study examined the growth and fruit morphometric characteristics of avocado populations grown under variable soil pH and altitude in six districts in the Tanga, Kilimanjaro and Arusha regions. Variations in growth and fruit morphometric characteristics were compared using a one-way analysis of variance (ANOVA). Pearson product-moment correlations (r) were used to evaluate the relationship between studied growth and fruit morphometric traits. A linear mixed-effects model (LMM) was used to assess the influence of the soil pH, altitude, tree height, canopy diameter, and trunk diameter on fruit length, fruit diameter, pulp thickness, and seed diameter. Principal Component Analysis (PCA) was used to depict the extent of the racial admixtures in the avocado germplasm in the Northern regions of Tanzania. The results revealed a significant variation in growth and fruit morphometric characteristics (p < 0.05). The Korogwe population had the highest tree height, while the Karatu had the lowest. Tree height was positively correlated with the trunk diameter (r = 0.63, p < 0.001. There was a positive correlation between fruit length and pulp thickness (r = 0.51, p < 0.001), fruit diameter and pulp thickness (r = 0.47, p < 0.001), and fruit length and fruit diameter (r = 0.36, p < 0.001). The fruit diameter was positively correlated with the seed diameter (r = 0.61, p < 0.001). There was a significant but weak association between fruit length and trunk diameter (-0.01), fruit length and canopy diameter (0.15), and between seed diameter and tree height (2.95e-2). These findings highlight the influence of individual tree genetic makeup on the variation in growth and fruit morphometric characteristics. The morphometric trait correlations may prove valuable in field measurements, especially when resources are limited. The study further indicates the presence of all avocado races within the local germplasm, highlighting its high diversity. Remarkably, the observed admixture of variant races implies gene flow among studied avocado populations, possibly facilitated by sharing seedlings among farmers or seed disposal through avocado fruit trading. Further study is needed, particularly in quantifying the above-ground biomass of local avocados in northern Tanzania, potentially contributing to carbon credit initiatives for fruit crops..

Racial/ethnic inequality in homelessness and drug overdose deaths in US States.

PURPOSE: This study examined whether state-level racial disproportionality in homelessness is associated with racial disproportionality in overdose mortality. METHODS: Counts of individuals experiencing homelessness (2015-2017; by state and racial/ethnic group) were obtained from the US Department of Housing and Urban Development; population estimates and counts of drug overdose deaths (2018-2021; by state and racial/ethnic group) were obtained from the National Center for Health Statistics. Homelessness and overdose mortality disproportionality scores were calculated to indicate the extent to which each racial group was over- or under- represented among those experiencing homelessness, or among overdose deaths, respectively (relative to each racial group's proportional share in the general population). For each racial group examined, ordinary least squares regression models with robust standard errors (SEs) examined associations between state-level disproportionality in homelessness and disproportionality in overdose mortality, adjusting for percent aged 18-64 and US Census Region, as well as disproportionality in educational attainment and unemployment. RESULTS: State-level racial disproportionality in homelessness was significantly and positively associated with racial disproportionality in overdose mortality for Black (b = 0.16 [SE = 0.05]; p < .01), American Indian/Alaska Native (b = 0.71 [SE = 0.23]; p < .01), and Hispanic populations (b = 0.17 [SE = 0.05]; p < .01), in models adjusting for region and percent aged 18-64. The significant positive associations in these three populations persisted after adjusting for educational attainment disproportionality, yet the association was no longer significant in the Black population after adjusting for unemployment disproportionality. CONCLUSION: States with the highest levels of racial/ethnic minority overrepresentation in homelessness generally also had relatively higher levels of racial/ethnic minority overrepresentation in overdose deaths.

Racial differences in triage assessment at rural vs urban Maine emergency departments.

Data continue to accumulate demonstrating that those belonging to racialized groups face implicit bias in the emergency care delivery system across many indices, including triage assessment. The Emergency Severity Index (ESI) was developed and widely implemented across the US to improve the objectivity of triage assessment and prioritization of care delivery; however, research continues to support the presence of subjective bias in triage assessment. We sought to assess the relationship between perceived race and/or need for translator and assigned ESI score and whether this was impacted by hospital geography. We performed retrospective EMR-based review of patients presenting to urban and rural emergency departments of a health system in Maine with one of the top ten most common chief complaints (CC) across a 5-year period, excluding psychiatric CCs. We used multivariable regression to analyze the relationships between perceived race, need for translator, and gender with ESI score, wait time, and hallway bed assignments. We found that patients perceived as non-white were more likely to receive lower acuity ESI scores and have longer wait times as compared to patients perceived as white. Patients perceived as female were more likely to receive lower acuity scores and wait longer to be seen than patients perceived as male. The need for an interpreter was associated with increased wait times but not significantly associated with ESI score. After stratification by hospital geography, evidence of subjective bias was limited to urban emergency departments and was not evident in rural emergency departments. Further investigation of subjective bias in emergency departments in Maine, particularly in urban settings, is warranted.

The American Society for Bone and Mineral Research Task Force on clinical algorithms for fracture risk report.

Using race and ethnicity in clinical algorithms potentially contributes to health inequities. The American Society for Bone and Mineral Research (ASBMR) Professional Practice Committee convened the ASBMR Task Force on Clinical Algorithms for Fracture Risk to determine the impact of race and ethnicity adjustment in the US Fracture Risk Assessment Tool (US-FRAX). The Task Force engaged the University of Minnesota Evidence-based Practice Core to conduct a systematic review investigating the performance of US-FRAX for predicting incident fractures over 10 years in Asian, Black, Hispanic, and White individuals. Six studies from the Women's Health Initiative (WHI) and Study of Osteoporotic Fractures (SOF) were eligible; cohorts only included women and were predominantly White (WHI > 80% and SOF > 99%), data were not consistently stratified by race and ethnicity, and when stratified there were far fewer fractures in Black and Hispanic women vs White women rendering area under the curve (AUC) estimates less stable. In the younger WHI cohort (n = 64 739), US-FRAX without bone mineral density (BMD) had limited discrimination for major osteoporotic fracture (MOF) (AUC 0.53 (Black), 0.57 (Hispanic), and 0.57 (White)); somewhat better discrimination for hip fracture in White women only (AUC 0.54 (Black), 0.53 (Hispanic), and 0.66 (White)). In a subset of the older WHI cohort (n = 23 918), US-FRAX without BMD overestimated MOF. The Task Force concluded that there is little justification for estimating fracture risk while incorporating race and ethnicity adjustments and recommends that fracture prediction models not include race or ethnicity adjustment but instead be population-based and reflective of US demographics, and inclusive of key clinical, behavioral, and social determinants (where applicable). Research cohorts should be representative vis-à-vis race, ethnicity, gender, and age. There should be standardized collection of race and ethnicity; collection of social determinants of health to investigate impact on fracture risk; and measurement of fracture rates and BMD in cohorts inclusive of those historically underrepresented in osteoporosis research.

Using race or ethnicity when calculating disease risk may contribute to health disparities. The ASBMR Task Force on Clinical Algorithms for Fracture Risk was created to understand the impact of the US Fracture Risk Assessment Tool (US-FRAX) race and ethnicity adjustments. The Task Force reviewed the historical development of FRAX, including the assumptions underlying selection of race and ethnicity adjustment factors. Furthermore, a systematic review of literature was conducted, which revealed an overall paucity of data evaluating the performance of US-FRAX in racially and ethnically diverse groups. While acknowledging the existence of racial and ethnic differences in fracture epidemiology, the Task Force determined that currently there is limited evidence to support the use of race and ethnicity­specific adjustments in US-FRAX. The Task Force also concluded that research is needed to create generalizable fracture risk calculators broadly applicable to current US demographics, which do not include race and ethnicity adjustments. Until such population­based fracture calculators are available, clinicians should consider providing fracture risk ranges for Asian, Black, and/or Hispanic patients and should engage in shared decision-making with patients about fracture risk interpretation. Future studies are required to evaluate fracture risk tools in populations inclusive of those historically underrepresented in research.

Not so Simple: Examining the Gendered Nature of Intimate Partner Assault Victimizations.

Although prior research has established a relationship between neighborhood structure and intimate partner violence (IPV), much of this literature focuses on serious IPV, despite the fact that less serious forms of IPV comprise the majority of IPV instances. Further, women are far more likely to experience all types of IPV victimization relative to men, especially simple assault, yet the relative importance of neighborhood structure across gradations of IPV and victim sex is relatively unexplored. We use data from Los Angeles, CA, and disaggregate IPV assaults across victim sex to examine whether neighborhood factors have differential effects on simple and aggravated IPV. We find differential effects of neighborhood structure by victim sex, especially for simple assault. Most notably, we find that neighborhood racial composition has significantly greater effects on females relative to male victims of simple IPV assault, while residential stability is protective of women more so than men. Only the percent of vacant or owner-occupied housing was specific to male simple IPV victimization. This suggests that neighborhood-based interventions should differ depending on the type of IPV being targeted.

The impact of cohort relationships on BIPOC genetic counseling students: Results from a longitudinal qualitative study.

The transition to graduate school is marked by stress, with academic demands and interpersonal interactions being primary concerns for genetic counseling students. For Black, Indigenous, and People of Color (BIPOC) graduate students, additional stressors caused by the "minority tax" and microaggressions impact their sense of belonging and inclusion. This prospective longitudinal study employed a constructivist grounded theory approach to investigate the experiences of first-year BIPOC genetic counseling students as they transitioned into the first year of their graduate training. We conducted semi-structured interviews with 26 first-year genetic counseling students at three key time points during their first year and analyzed them using reflexive thematic analysis. Here, we report themes related to stressors when transitioning into the genetic counseling training environment, the role of relationships as a source of support in navigating these challenges, and the impact of cohort dynamics on the training experience. Stressors included managing academic rigor and time demands, navigating microaggressions, reactions to discussions about diversity, equity, inclusion, and justice (DEIJ), and managing mental health. Peer relationships emerge as pivotal source of support, but challenging dynamics within the cohort negatively impacted participants, highlighting the importance of fostering an inclusive training environment. Since programs have less control over the composition of each cohort with the advent of the Match system in 2018, we recommend the use of community-building and debriefing activities to strengthen healthy relationships and address problematic dynamics. We recommend that training programs be proactive in creating mentoring relationships between faculty and students rather than waiting until students ask for help. Ultimately, we advocate for a holistic approach to genetic counseling training that maintains academic rigor but also prioritizes the creation of supportive, inclusive, and culturally sensitive learning environments for all students.

Effect of Maternal Race, Residential Rurality, and Social Vulnerability on Critical Congenital Heart Defect Risk.

The development of a congenital heart defect (CHD) is multifactorial, with many cases having an unknown etiology. This study explored whether maternal race and lived environment were associated with an infant being born with a critical CHD. A cross-sectional, case-control design was conducted utilizing secondary data analysis. The CHD group (N = 199) consisted of infants diagnosed with a critical CHD within the first year of life identified from hospital databases. The non-CHD group (N = 548) was a random sample of infants selected from the state's vital statistics database. The primary outcome was a critical CHD diagnosis. Maternal race, residential rurality, and the Social Vulnerability Index (SVI) were assessed for associations with a critical CHD using bivariate and multilevel regression models. Bivariate findings reported significance among residential rurality (p < 0.001), SVI ranking overall (p = 0.017), and SVI by theme (theme 1 p = 0.004, theme 2 p < 0.001, theme 3 p = 0.007, and theme 4 p = 0.049) when comparing infants with and without a critical CHD diagnosis. Results of multilevel logistic regression analyses further identified living in a rural residential area compared to urban areas (OR = 7.32; p < 0.001) as a predictor for a critical CHD diagnosis. The findings of lived environmental level associations provides information needed for continued investigation as the burden of a critical CHD continues to impact families, suggesting further research efforts are needed to improve health disparities.

Exploring the impact of therapeutic advances in HIV-related mortality in the United States.

Objectives: Mortality from HIV has significantly declined with the introduction of highly active antiretroviral therapy (HAART). This study sought to examine the longitudinal trends in mortality from HIV-related diseases by race, sex, geographical region, and over time as HAART trends changed. Methods: We queried the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research database and performed serial cross-sectional analyses of national death certificate data for all-cause mortality with comorbid HIV from 1999 to 2020. HIV diseases (International Classification of Diseases, Tenth Revision codes B20-B24, O98.7, R75) were listed as the contributing cause of death. We calculated the age-adjusted mortality ratio (AAMR) per 1,000,000 individuals and determined mortality trends using the Joinpoint Regression Program. Subgroup analyses were performed by sex, race, region, and organ system. The study period was further stratified into three groups when specific drug regimens were more prevalent. Results: In the 22-year study period, 251,759 all-cause mortalities with comorbid HIV were identified. The leading cause of death was infectious disease (84.0%, N = 211,438). Men recorded a higher AAMR than women (4.66 vs 1.65, P < 0.01). African American individuals had the highest AAMR (13.46) compared to White, American Indian, and Asian individuals (1.70 vs 1.65 vs 0.47). The South region had the highest AAMR (4.32) and urban areas had a higher AAMR compared to rural areas (1.77 vs 0.88). Conclusions: More than 80% of deaths occurred because of infectious disease over the last 2 decades with a decreasing trend over time when stratified by race, sex, and geographical region. Despite advances in HAART, mortality disparities persist which emphasizes the need for targeted interventions in these populations.

What is Common Becomes Normal; Black-White Variation in the Effects of Adversities on Subsequent Initiation of Tobacco and Marijuana During Transitioning into Adolescence.

Background: While adversities across domains of finance, race, family, and life may operate as risk factors for initiation of substance use in adolescents, the influence of these factors may vary across racial groups of youth. Unfortunately, the existing knowledge is minimal about racial differences in the types of adversities that may increase the risk of subsequent substance use initiation during the transition into adolescence. Aim: To compare racial groups for the effects of adversities across domains of finance, race, family, and life on subsequent substance use initiation among pre-adolescents transitioning into adolescence. Methods: In this longitudinal study, we analyzed data from 6003 non-Latino White and 1562 non-Latino African American 9-10-year-old children transitioning into adolescence. Data came from the Adolescent Brain Cognitive Development (ABCD) study. Participants were followed for up to thirty-six months as they transitioned to adolescence. The independent variables were adversities related to the domains of finance, race, family, and life. The primary outcomes were time to first tobacco or marijuana use. Age, puberty, and gender were confounders. Cox regression models were used for data analysis. Results: For White youth, tobacco use was under influence of having two parents in the household (HR = .611; 95% CI = .419-.891), parental education (HR = .900; 95% CI = .833-.972), household income (HR = .899; 95% CI = .817-.990), racial stress (HR = 1.569; 95% CI = 1.206-2.039), and life stress (HR =1.098 ; 95% CI = 1.024-1.178) and marijuana use was under influence of neighborhood income (HR = .576; 95% CI = .332-.999) and financial stress (HR =4.273; 95% CI = 1.280-17.422). No adverse condition predicted tobacco or marijuana use of African American youth. Conclusion: The effects of adversities on substance use depend on race. While various types of adversities tend to increase subsequent initiation of tobacco and marijuana, such factors may be less influential for African American adolescents, who experience more of such adversities. What is common may become normal.

Racial/ethnic differences in the associations between trust in the U.S. healthcare system and willingness to test for and vaccinate against COVID-19.

BACKGROUND: Trust in the healthcare system may impact adherence to recommended healthcare practices, including willingness to test for and vaccinate against COVID-19. This study examined racial/ethnic differences in the associations between trust in the U.S. healthcare system and willingness to test for and vaccinate against COVID-19 during the first year of the pandemic. METHODS: This cross-sectional study used data from the REACH-US study, a nationally representative online survey conducted among a diverse sample of U.S. adults from January 26, 2021-March 3, 2021 (N = 5,121). Multivariable logistic regression estimated the associations between trust in the U.S. healthcare system (measured as "Always", "Most of the time", "Sometimes/Almost Never", and "Never") and willingness to test for COVID-19, and willingness to receive the COVID-19 vaccine. Racial/ethnic differences in these associations were examined using interaction terms and multigroup analyses. RESULTS: Always trusting the U.S. healthcare system was highest among Hispanic/Latino Spanish Language Preference (24.9%) and Asian (16.7%) adults and lowest among Multiracial (8.7%) and Black/African American (10.7%) adults. Always trusting the U.S. healthcare system, compared to never, was associated with greater willingness to test for COVID-19 (AOR: 3.20, 95% CI: 2.38-4.30) and greater willingness to receive the COVID-19 vaccine (AOR: 2.68, 95% CI: 1.97-3.65). CONCLUSIONS: Trust in the U.S. healthcare system was associated with greater willingness to test for COVID-19 and receive the COVID-19 vaccine, however, trust in the U.S. healthcare system was lower among most marginalized racial/ethnic groups. Efforts to establish a more equitable healthcare system that increases trust may encourage COVID-19 preventive behaviors.

Ethnic disparities in breast cancer patterns in Brazil: examining findings from population-based registries.

PURPOSE: To investigate breast cancer (BC) incidence and mortality rates among specific racial groups in Brazil. METHODS: BC incidence was evaluated from 2010 to 2015, using Brazilian Population-Based Cancer Registries, incorporating crude ratios and annual average percentage change (AAPC). Clinical and sociodemographic data from 2000 to 2019 were obtained from Hospital-Based Cancer Registries. Mortality data from 2000 to 2020 were sourced from the National Mortality Information System, comparing White women and Black women. RESULTS: Across 13 Brazilian registries, 70,896 new BC cases were reported from 2010 to 2015. The median BC incidence rate was notably higher for White women (101.3 per 100,000) compared to Black women (59.7 per 100,000). In the general population, non-significant decrease in annual BC incidence was observed (AAPC = - 1.2; p = 0.474). Black women were more likely to live in underdeveloped areas, have lower education levels, live without a partner, and have higher alcohol consumption as compared to White women. A higher proportion of Black women received advanced-stage diagnoses (60.1% versus 50.6%, p < 0.001). BC-related mortality analysis showed 271,002 recorded deaths, with significant increase in BC-specific mortality rates in both racial groups. Black women displayed an AAPC of 2.3% (p < 0.001), while White women demonstrated a moderately elevated AAPC of 0.6% (p < 0.001). CONCLUSION: This study underscores the need for targeted policies to address disparities in access to early detection and proper treatment, particularly for Black women in underprivileged regions, aiming to improve the survival rates of Brazilian women grappling with BC.