Racial-ethnic disparities in psychological distress during the COVID-19 pandemic in the United States: the role of experienced discrimination and perceived racial bias.

BACKGROUND: Research on mental health disparities by race-ethnicity in the United States (US) during COVID-19 is limited and has generated mixed results. Few studies have included Asian Americans as a whole or by subgroups in the analysis. METHODS: Data came from the 2020 Health, Ethnicity, and Pandemic Study, based on a nationally representative sample of 2,709 community-dwelling adults in the US with minorities oversampled. The outcome was psychological distress. The exposure variable was race-ethnicity, including four major racial-ethnic groups and several Asian ethnic subgroups in the US. The mediators included experienced discrimination and perceived racial bias toward one's racial-ethnic group. Weighted linear regressions and mediation analyses were performed. RESULTS: Among the four major racial-ethnic groups, Hispanics (22%) had the highest prevalence of severe distress, followed by Asians (18%) and Blacks (16%), with Whites (14%) having the lowest prevalence. Hispanics' poorer mental health was largely due to their socioeconomic disadvantages. Within Asians, Southeast Asians (29%), Koreans (27%), and South Asians (22%) exhibited the highest prevalence of severe distress. Their worse mental health was mainly mediated by experienced discrimination and perceived racial bias. CONCLUSIONS: Purposefully tackling racial prejudice and discrimination is necessary to alleviate the disproportionate psychological distress burden in racial-ethnic minority groups.

Environmental and structural factors driving poor quality of care: An examination of nursing homes serving Black residents.

BACKGROUND: Poor quality of care in nursing homes (NHs) with high proportions of Black residents has been a problem in the US and even more pronounced during the COVID-19 pandemic. Federal and state agencies are devoting attention to identifying the best means of improving care in the neediest facilities. It is important to understand environmental and structural characteristics that may have led to poor healthcare outcomes in NHs serving high proportions of Black residents pre-pandemic. METHODS: We conducted a cross-sectional observational study using multiple 2019 national datasets. Our exposure was the proportion of Black residents in a NH (i.e., none, <5%, 5%-19.9%, 20-49.9%, ≥50%). Healthcare outcomes examined were hospitalizations and emergency department (ED) visits, both observed and risk-adjusted. Structural factors included staffing, ownership status, bed count (0-49, 50-149, or ≥150), chain organization membership, occupancy, and percent Medicaid as a payment source. Environmental factors included region and urbanicity. Descriptive and multivariable linear regression models were estimated. RESULTS: In the 14,121 NHs, compared to NHs with no Black residents, NHs with ≥50% Black residents tended to be urban, for-profit, located in the South, have more Medicaid-funded residents, and have lower ratios of registered-nurse (RN) and aide hours per resident per day (HPRD) and greater ratios of licensed practical nurse HPRD. In general, as the proportion of Black residents in a NH increased, hospitalizations and ED visits also increased. DISCUSSION/IMPLICATIONS: As lower use of RNs has been associated with increased ED visits and hospitalizations in NHs generally, it is likely low RN use largely drove the differences in hospitalizations and ED visits in NHs with greater proportions of Black residents. Staffing is an area in which state and federal agencies should take action to improve the quality of care in NHs with larger proportions of Black residents.

Burnout and Moral Injury Among Black Psychiatrists and Other Black Mental Health Professionals.

This column discusses burnout and moral injury among Black psychiatrists and other Black mental health professionals and highlights the contribution of racism to these outcomes. In the United States, the COVID-19 pandemic and racial turmoil have revealed stark inequities in health care and social justice, and demand for mental health services has increased. To meet the mental health needs of communities, racism must be recognized as a factor in burnout and moral injury. The authors offer preventive strategies to support the mental health, well-being, and longevity of Black mental health professionals.

Disparities in lung cancer.

Lung cancer is the second most common cancer and the leading cause of cancer death among men and women in the United States. Despite a substantial decline in lung cancer incidence and mortality across all races in the last few decades, medically underserved racial and ethnic minority populations continue to carry the greatest burden of disease throughout the lung cancer continuum. Black individuals experience a higher incidence of lung cancer due to lower rates of low-dose computed tomography screening, which translate into advanced disease stage at diagnosis and poorer survival outcomes compared with White individuals. With respect to treatment, Black patients are less likely to receive gold standard surgery, have access to biomarker testing or high-quality treatment compared with White patients. The reasons for those disparities are multifactorial and include socioeconomic (eg, poverty, lack of health insurance, and inadequate education), and geographic inequalities. The objective of this article is to review the sources of racial and ethnic disparities in lung cancer, and to propose recommendations to help address them.

Racial and Ethnic Differences in Self-Reported COVID-19 Exposure Risks, Concerns, and Behaviors Among Diverse Participants in the Women's Health Initiative Study.

BACKGROUND: Racial and ethnic disparities in COVID-19 risk are well-documented; however, few studies in older adults have examined multiple factors related to COVID-19 exposure, concerns, and behaviors or conducted race- and ethnicity- stratified analyses. The Women's Health Initiative (WHI) provides a unique opportunity to address those gaps. METHODS: We conducted a secondary analysis of WHI data from a supplemental survey of 48,492 older adults (mean age 84 years). In multivariable-adjusted modified Poisson regression analyses, we examined predisposing factors and COVID-19 exposure risk, concerns, and behaviors. We hypothesized that women from minoritized racial or ethnic groups, compared to Non-Hispanic White women, would be more likely to report: exposure to COVID-19, a family or friend dying from COVID-19, difficulty getting routine medical care or deciding to forego care to avoid COVID-19 exposure, and having concerns about the COVID-19 pandemic. RESULTS: Asian women and Non-Hispanic Black/African American women had a higher risk of being somewhat/very concerned about risk of getting COVID 19 compared to Non-Hispanic White women and each were significantly more likely than Non-Hispanic White women to report forgoing medical care to avoid COVID-19 exposure. However, Asian women were 35% less likely than Non-Hispanic White women to report difficulty getting routine medical care since March 2020 (aRR 0.65; 95% CI 0.57, 0.75). CONCLUSIONS: We documented COVID-related racial and ethnic disparities in COVID-19 exposure risk, concerns, and care-related behaviors that disfavored minoritized racial and ethnic groups, particularly Non-Hispanic Black/African American women.

Food Insecurity During the First Year of COVID-19: Employment and Sociodemographic Factors Among Participants in the CHASING COVID Cohort Study.

OBJECTIVE: While much has been reported about the impact of the COVID-19 pandemic on food insecurity, longitudinal data and the variability experienced by people working in various industries are limited. This study aims to further characterize people experiencing food insecurity during the pandemic in terms of employment, sociodemographic characteristics, and degree of food insecurity. METHODS: The study sample consisted of people enrolled in the Communities, Households and SARS-CoV-2 Epidemiology (CHASING) COVID Cohort Study from visit 1 (April-July 2020) through visit 7 (May-June 2021). We created weights to account for participants with incomplete or missing data. We used descriptive statistics and logistic regression models to determine employment and sociodemographic correlates of food insecurity. We also examined patterns of food insecurity and use of food support programs. RESULTS: Of 6740 participants, 39.6% (n = 2670) were food insecure. Non-Hispanic Black and Hispanic (vs non-Hispanic White) participants, participants in households with children (vs no children), and participants with lower (vs higher) income and education levels had higher odds of food insecurity. By industry, people employed in construction, leisure and hospitality, and trade, transportation, and utilities industries had the highest prevalence of both food insecurity and income loss. Among participants reporting food insecurity, 42.0% (1122 of 2670) were persistently food insecure (≥4 consecutive visits) and 43.9% (1172 of 2670) did not use any food support programs. CONCLUSIONS: The pandemic resulted in widespread food insecurity in our cohort, much of which was persistent. In addition to addressing sociodemographic disparities, future policies should focus on the needs of those working in industries vulnerable to economic disruption and ensure those experiencing food insecurity can access food support programs for which they are eligible.

Racial and ethnic differences in pharmacotherapy to prevent coronary artery disease and thrombotic events.

Awareness of racial/ethnic disparities represents a key challenge for healthcare systems that attempt to provide effective healthcare and to reduce existing inequalities in the use of and adherence to guideline-recommended cardiovascular drugs to improve clinical outcomes for cardiovascular disease (CVD). In this review, we describe important racial/ethnic differences between and within ethnic groups in the prevalence, risk factors, haemostatic factors, anti-inflammatory and endothelial markers, recurrence, and outcomes of CVD. We discuss important differences in the selection, doses, and response [efficacy and adverse drug reactions (ADRs)] in ethnically diverse patients treated with antithrombotics or lipid-lowering drugs. Differences in drug response are mainly related to racial/ethnic differences in the frequency of polymorphisms in genes encoding drug-metabolizing enzymes (DMEs) and drug transporters. These polymorphisms markedly influence the pharmacokinetics, dose requirements, and safety of warfarin, clopidogrel, and statins. This review aims to support a better understanding of the genetic differences between and among populations to identify patients who may experience an ADR or a lack of drug response, thus optimizing therapy and improving outcomes. The greater the understanding of the differences in the genetic variants of DMEs and transporters that determine the differences in the exposure, efficacy, and safety of cardiovascular drugs between races/ethnicities, the greater the probability that personalized medicine will become a reality.

Suffering, the Safety Net, and Disparities During COVID-19

The economic and public health crisis caused by COVID-19 was devastating and disproportionately hurt Blacks and Hispanics and some other groups. Unemployment rates and other measures of material hardship were higher and increased more during the crisis among Blacks and Hispanics than among non-Hispanic Whites. Congress authorized a historic policy response, incorporating both targeted and universal supports, and expanding both the level and duration of benefits. This response yielded the remarkable result of an estimated decline in the Supplemental Poverty Measure between 2019 and 2020. We study administrative data to investigate the impact of the Supplemental Nutrition Assistance Program (SNAP) during the crisis. We find that participation in SNAP increased more in counties that experienced a larger employment shock. By contrast, the increase in total SNAP benefits was inversely related to the employment shock. The SNAP benefit increases were less generous to Black and Hispanic SNAP participants than to White.

The Impact of Language on Hospital Outcomes for COVID-19 Patients: A Study of Non-English Speaking Hispanic Patients.

BACKGROUND: The COVID-19 pandemic has highlighted and exacerbated health inequities, as demonstrated by the disproportionate rates of infection, hospitalization, and death in marginalized racial and ethnic communities. Although non-English speaking (NES) patients have substantially higher rates of COVID-19 positivity than other groups, research has not yet examined primary language, as determined by the use of interpreter services, and hospital outcomes for patients with COVID-19. METHODS: Data were collected from 1,770 patients with COVID-19 admitted to an urban academic health medical center in the Chicago, Illinois area from March 2020 to April 2021. Patients were categorized as non-Hispanic White, non-Hispanic Black, NES Hispanic, and English-speaking (ES) Hispanic using NES as a proxy for English language proficiency. Multivariable logistic regression was used to compare the predicted probability for each outcome (i.e., ICU admission, intubation, and in-hospital death) by race/ethnicity. RESULTS: After adjusting for possible confounders, NES Hispanic patients had the highest predicted probability of ICU admission (p-value < 0.05). Regarding intubation and in-hospital death, NES Hispanic patients had the highest probability, although statistical significance was inconclusive, compared to White, Black, and ES Hispanic patients. CONCLUSIONS: Race and ethnicity, socioeconomic status, and language have demonstrated disparities in health outcomes. This study provides evidence for heterogeneity within the Hispanic population based on language proficiency that may potentially further contribute to disparities in COVID-19-related health outcomes within marginalized communities.

Disparities in telehealth access, not willingness to use services, likely explain rural telehealth disparities.

PURPOSE: Although telehealth access and utilization have increased during the pandemic, rural and low-income disparities persist. We sought to assess whether access or willingness to use telehealth differed between rural and non-rural and low-income and non-low-income adults and measure the prevalence of perceived barriers. METHODS: We conducted a cross-sectional study using COVID-19's Unequal Racial Burden (CURB) online survey (December 17, 2020-February 17, 2021), which included 2 nationally representative cohorts of rural and low-income Black/African American, Latino, and White adults. Non-rural and non-low-income participants from the main, nationally representative sample were matched for rural versus non-rural and low-income versus non-low-income comparisons. We measured perceived telehealth access, willingness to use telehealth, and perceived telehealth barriers. FINDINGS: Rural (38.6% vs 44.9%) and low-income adults (42.0% vs 47.4%) were less likely to report telehealth access, compared to non-rural and non-low-income counterparts. After adjustment, rural adults were still less likely to report telehealth access (adjusted prevalence ratio [aPR] = 0.89, 95% CI = 0.79-0.99); no differences were seen between low-income and non-low-income adults (aPR = 1.02, 95% CI = 0.88-1.17). The majority of adults reported willingness to use telehealth (rural = 78.4%; low-income = 79.0%), with no differences between rural and non-rural (aPR = 0.99, 95% CI = 0.92-1.08) or low-income versus non-low-income (aPR = 1.01, 95% CI = 0.91-1.13). No racial/ethnic differences were observed in willingness to use telehealth. The prevalence of perceived telehealth barriers was low, with the majority reporting no barriers (rural = 57.4%; low-income = 56.9%). CONCLUSIONS: Lack of access (and awareness of access) is likely a primary driver of disparities in rural telehealth use. Race/ethnicity was not associated with telehealth willingness, suggesting that equal utilization is possible once granted access.

Disparities in COVID-19 Hospitalization at the Intersection of Race and Ethnicity and Income.

BACKGROUND: Existing studies have elucidated racial and ethnic disparities in COVID-19 hospitalizations, but few have examined disparities at the intersection of race and ethnicity and income. METHODS: We used a population-based probability survey of non-institutionalized adults in Michigan with a polymerase chain reaction-positive SARS-CoV-2 test before November 16, 2020. We categorized respondents by race and ethnicity and annual household income: low-income (< $50,000) Non-Hispanic (NH) Black, high-income (≥ $50,000) NH Black, low-income Hispanic, high-income Hispanic, low-income NH White, and high-income NH White. We used modified Poisson regression models, adjusting for sex, age group, survey mode, and sample wave, to estimate COVID-19 hospitalization prevalence ratios by race and ethnicity and income. RESULTS: Over half of the analytic sample (n = 1593) was female (54.9%) and age 45 or older (52.5%), with 14.5% hospitalized for COVID-19. Hospitalization was most prevalent among low-income (32.9%) and high-income (31.2%) Non-Hispanic (NH) Black adults, followed by low-income NH White (15.3%), low-income Hispanic (12.9%), high-income NH White (9.6%), and high-income Hispanic adults (8.8%). In adjusted models, NH Black adults, regardless of income (low-income prevalence ratio [PR]: 1.86, 95% CI: 1.36-2.54; high-income PR: 1.57, 95% CI: 1.07-2.31), and low-income NH White adults (PR: 1.52, 95% CI: 1.12-2.07), had higher prevalence of hospitalization compared to high-income NH White adults. We observed no significant difference in the prevalence of hospitalization among Hispanic adults relative to high-income NH White adults. CONCLUSIONS: We observed disparities in COVID-19 hospitalization at the intersection of race and ethnicity and income for NH Black adults and low-income NH White adults relative to high-income NH White adults, but not for Hispanic adults.

The Lack of Race and Ethnicity Data in Australia-A Threat to Achieving Health Equity.

Collecting meaningful race and ethnicity data must be part of the national agenda and must be one of its primary objectives in order to achieve public good and support public interests. Yet, Australia does not collect data on race and ethnicity, and prefers the use of collective cultural groups, whose information is not consistently collected and reported at all levels of government and service delivery. This paper examines the current discrepancies in race and ethnicity data collection in Australia. The paper begins with examining the current practices related to collecting race and ethnicity data and then moves on to examine the various implications and public health significance of not collecting data on race and ethnicity in Australia. The evidence suggests that (1) race and ethnicity data matter, are imperative to ensuring proper advocacy and to reducing inequities in health and social determinant factors; (2) that White privilege is constructed as realized or unrealized personal and systemic racism; and (3) the use of non-committal collective terminologies makes visible minorities invisible, leads to the distorted allocation of governmental support, and legitimises and institutionalises racism and othering, hence perpetuating exclusion and the risk of victimisation. There is an urgent need for the collection of customized, culturally competent racial and ethnicity data that can be consistently integrated into all policy interventions, service delivery and research funding across all levels of governance in Australia. Reducing and eliminating racial and ethnic disparities is not only an ethical, social, and economic imperative, but must also be a critical item on the national agenda. Bridging the racial and ethnic disparities will require concerted whole-of-government efforts to collect consistent and reliable data that depict racial and ethnic characteristics beyond collective cultural groupings.

Social Risks, Social Needs, and Attitudes Toward Social Health Screening 1 Year Into the COVID-19 Pandemic: Survey of Adults in an Integrated Health Care Delivery System.

Introduction Information about demographic differences in social risks, needs, and attitudes toward social health screening in non-highly vulnerable adult populations is lacking. Methods The authors analyzed data for 2869 Kaiser Permanente Northern California non-Medicaid-covered members aged 35 to 85 who responded to a 2021 English-only mailed/online survey. The survey covered 7 social risk and 11 social needs domains and attitudes toward social health screening. The authors used data weighted to the Kaiser Permanente Northern California membership to estimate prevalence of risks, needs, and screening receptivity in the overall population, by race/ethnicity (White, Black, Latinx, Asian American/Pacific Islander) and age (35-65 years old, 66-85 years old). Multivariable regression was used to evaluate differences between groups. Results Overall, 26% of adults were financially strained, 12% food insecure, 12% housing insecure, and 5% transportation insecure. Additionally, 7%, 8%, and 17% had difficulty paying for utilities, medical expenses, and dental care, respectively. Over 40% of adults wanted help with ≥ 1 social need. Dental care, vision/hearing care, paying for medical expenses and utilities, and managing debt/credit card repayment surpassed food, housing, and transportation needs. Prevalence of social risks and needs was generally higher among middle-aged versus older and Black and Latinx versus White adults. Among the 70% of adults receptive to screening, 85% were willing to complete a questionnaire and 40% were willing to have staff ask questions; 18% did not want to be screened. Conclusion When implementing social health screening in diverse patient populations, the prevalence of social risks and needs, as well as the acceptability of social health screening and screening modalities, will vary among demographic subgroups.

Racial Disparities in Patients With COVID-19 Infection: A National Inpatient Sample Analysis.

Introduction Evidence suggests the COVID-19 (coronavirus disease 2019) pandemic highlighted well-known healthcare disparities. This study investigated racial disparities in patients with COVID-19-related hospitalizations utilizing the US (United States) National Inpatient Sample (NIS). Methodology This was a retrospective study conducted utilizing the NIS 2020 database. The NIS was searched for hospitalization of adult patients with COVID-19 infection as a principal diagnosis using ICD-10 (International Classification of Diseases, Tenth Revision) codes. We divided the NIS into four major racial/ethnic groups: White, Black, Hispanic, and others. The primary outcome was inpatient mortality, and the secondary outcomes were the mean length of stay, mean total hospital charges, development of sepsis, septic shock, use of vasopressors, acute respiratory failure, acute respiratory distress syndrome, acute kidney failure, acute myocardial infarction, cardiac arrest, deep vein thrombosis, pulmonary embolism, cerebrovascular accident, and need for mechanical ventilation. Results Compared to White patients, Hispanic patients had higher adjusted inpatient mortality odds (aOR [adjusted odds ratio]: 1.25, 95% CI 1.19-1.33, p<0.001); however, Black patients had similar adjusted mortality odds (aOR: 0.96, 95% CI 0.91-1.01, p=0.212). Black patients and Hispanic patients had a higher mean length of stay (8.01 vs 7.13 days, p<0.001 and 7.67 vs 7.13 days, p<0.001, respectively), adjusted odds of cardiac arrest (aOR: 1.53, 95% CI 1.37-1.71, p<0.001 and aOR: 1.73, 95% CI 1.54-1.94, p<0.001), septic shock (aOR: 1.23, 95% CI 1.13-1.33, p<0.001 and aOR: 1.88, 95% CI 1.73-2.04, p<0.001), and vasopressor use (aOR: 1.32, 95% CI 1.14 - 1.53, p<0.001 and aOR: 1.87, 95% CI 1.62 - 2.16, p<0.001). Conclusion Our study showed that Black and Hispanic patients are at higher risk of adverse outcomes compared to White patients admitted with COVID-19 infection.

The Impact of COVID-19 on Racial and Ethnic Disparities in Cardiac Procedural Care.

OBJECTIVE: The primary objective of this study was to evaluate whether the COVID-19 pandemic altered the racial and ethnic composition of patients receiving cardiac procedural care. DESIGN: This was a retrospective observational study. SETTING: This study was conducted at a single tertiary-care university hospital. PARTICIPANTS: A total of 1,704 adult patients undergoing transcatheter aortic valve replacement (TAVR) (n = 413), coronary artery bypass grafting (CABG) (n = 506), or atrial fibrillation (AF) ablation (n = 785) from March 2019 through March 2022 were included in this study. INTERVENTIONS: No interventions were performed as this was a retrospective observational study. MEASUREMENTS AND MAIN RESULTS: Patients were grouped based on the date of their procedure: pre-COVID (March 2019 to February 2020), COVID Year 1 (March 2020 to February 2021), and COVID Year 2 (March 2021 to March 2022). Population-adjusted procedural incidence rates during each period were examined and stratified based on race and ethnicity. The procedural incidence rate was higher for White patients versus Black, and non-Hispanic patients versus Hispanic patients for every procedure and every period. For TAVR, the difference in procedural rates between White patients versus Black patients decreased between the pre-COVID and COVID Year 1 (12.05-6.34 per 1,000,000 persons). For CABG, the difference in procedural rates between White patients versus Black, and non-Hispanic patients versus Hispanic patients did not change significantly. For AF ablations, the difference in procedural rates between White patients versus Black patients increased over time (13.06 to 21.55 to 29.64 per 1,000,000 persons in the pre-COVID, COVID Year 1, and COVID Year 2, respectively). CONCLUSION: Racial and ethnic disparities in access to cardiac procedural care were present throughout all study time periods at the authors' institution. Their findings reinforce the continuing need for initiatives to reduce racial and ethnic disparities in healthcare. Further studies are needed to fully elucidate the effects of the COVID-19 pandemic on healthcare access and delivery.

Health Behavior and Attitudes During the COVID-19 Pandemic Among Vulnerable and Underserved Latinx in the Southwest USA.

The COVID-19 pandemic highlighted deep-rooted health disparities, particularly among Latinx immigrants living on the Mexico-US border. This article investigates differences between populations and adherence to COVID-19 preventive measures. This study investigated whether there are differences between Latinx recent immigrants, non-Latinx Whites, and English-speaking Latinx in their attitudes and adherence to COVID-19 preventive measures. Data came from 302 participants who received a free COVID-19 test at one of the project sites between March and July 2021. Participants lived in communities with poorer access to COVID-19 testing. Choosing to complete the baseline survey in Spanish was a proxy for being a recent immigrant. Survey measures included the PhenX Toolkit, COVID-19 mitigating behaviors, attitudes toward COVID-19 risk behaviors and mask wearing, and economic challenges during the COVID-19 pandemic. With multiple imputation, ordinary least squares (OLS) regression was used to analyze between-group differences in mitigating attitudes and behaviors toward COVID-19 risk. Adjusted OLS regression analyses showed that Latinx surveyed in Spanish perceived COVID-19 risk behaviors as more unsafe (b = 0.38, p = .001) and had stronger positive attitudes toward mask wearing (b = 0.58, p = .016), as compared to non-Latinx Whites. No significant differences emerged between Latinx surveyed in English and non-Latinx Whites (p > .05). Despite facing major structural, economic, and systemic disadvantages, recent Latinx immigrants showed more positive attitudes toward public health COVID-19 mitigating measures than other groups. The findings have implications for future prevention research about community resilience, practice, and policy.

Disparities in COVID-19 Monoclonal Antibody Delivery: a Retrospective Cohort Study.

BACKGROUND: Disparities in access to anti-SARS-CoV-2 monoclonal antibodies have not been well characterized. OBJECTIVE: We sought to explore the impact of race/ethnicity as a social construct on monoclonal antibody delivery. DESIGN/PATIENTS: Following implementation of a centralized infusion program at a large academic healthcare system, we reviewed a random sample of high-risk ambulatory adult patients with COVID-19 referred for monoclonal antibody therapy. MAIN MEASURES: We examined the relationship between treatment delivery, race/ethnicity, and other demographics using descriptive statistics, binary logistic regression, and spatial analysis. KEY RESULTS: There was no significant difference in racial composition between patients who did (n = 25) and patients who did not (n = 378) decline treatment (p = 0.638). Of patients who did not decline treatment, 64.8% identified as White, 14.8% as Hispanic/Latinx, and 11.1% as Black. Only 44.6% of Hispanic/Latinx and 31.0% of Black patients received treatment compared to 64.1% of White patients (OR 0.45, 95% CI 0.25-0.81, p = 0.008, and OR 0.25, 95% CI 0.12-0.50, p < 0.001, respectively). In multivariable analysis including age, race, insurance status, non-English primary language, county Social Vulnerability Index, illness severity, and total number of comorbidities, associations between receiving treatment and Hispanic/Latinx or Black race were no longer statistically significant (AOR 1.32, 95% CI 0.69-2.53, p = 0.400, and AOR 1.34, 95% CI 0.64-2.80, p = 0.439, respectively). However, patients who were uninsured or whose primary language was not English were less likely to receive treatment (AOR 0.16, 95% CI 0.03-0.88, p = 0.035, and AOR 0.37, 95% CI 0.15-0.90, p = 0.028, respectively). Spatial analysis suggested decreased monoclonal antibody delivery to Cook County patients residing in socially vulnerable communities. CONCLUSIONS: High-risk ambulatory patients with COVID-19 who identified as Hispanic/Latinx or Black were less likely to receive monoclonal antibody therapy in univariate analysis, a finding not explained by patient refusal. Multivariable and spatial analyses suggested insurance status, language, and social vulnerability contributed to racial disparities.

Associations of Race/Ethnicity and Socioeconomic Factors with Vaccination Among US Adults During the COVID-19 Pandemic, January to March 2021.

To date, there has been limited data available to understand the associations between race/ethnicity and socioeconomic and related characteristics with novel coronavirus disease (COVID-19) vaccination in the United States. We leveraged the large, nationally-representative cross-sectional surveys of the U.S. Household Pulse Survey between January and March 2021 with relatively complete race/ethnicity and socioeconomic data to examine national trends in levels of COVID-19 vaccine initiation and intention in adults aged 18-85 years. We further estimated the multivariable associations between race/ethnicity, education, income, and financial hardship with the adjusted prevalence odds ratios of: 1) receipt of ≥1 COVID-19 vaccine dose; and 2) among those unvaccinated, the definite intention to receive a vaccine. We observed persistent disparities in vaccine initiation for non-Hispanic Blacks, Hispanics, and non-Hispanic multiracial/other race persons, and vaccine intention for Blacks and multiracial/other race persons, compared to non-Hispanic Whites and Asians. In late March 2021, the prevalence estimates of Hispanics and Blacks receiving a vaccine were 12-percentage points and 8-percentage points lower than for Whites, respectively. Education and income exhibited dose-response relationships with vaccine initiation (P for trend≤.01 and <.001, respectively). Substantial financial hardship was linked to 35-44% lower adjusted odds of vaccination (P<.001). In this large, nationally-representative study, we found persistent racial/ethnic and socioeconomic disparities in vaccine initiation and intention, more than three months after COVID-19 vaccines first became available. Addressing these persistent racial/ethnic and socioeconomic inequities in vaccination is essential to mitigate the pandemic's higher risks of infection and adverse health outcomes in Hispanic, Black, and socioeconomically-disadvantaged communities.

Disparities between Latinx migrants and Spanish natives in COVID-19 outcome in Madrid.

Previous studies have suggested an increased susceptibility of COVID-19 among certain populations. We analyzed whether COVID-19 presentation and mortality differ between Latinx migrants and Spanish natives. METHODS AND MATERIALS: COVID-19 patients between 35-64 years old admitted between January 26th-May-5th 2020 were reviewed. Demographics, major comorbidities, symptoms, signs and analytical parameters on admission were recorded. Respiratory failure was defined as PaO2/FiO2 ≤ 200 mmHg, noninvasive or invasive mechanical ventilation requirement at any time during hospitalization. A propensity score (PS) adjustment was created between Latinx and Spanish. A multivariable logistic regression model adjusted by the PS was performed to evaluate the effects of different variables on mortality. RESULTS: 894 patients: 425 (47.5%) Latinx and 469 (52.5%) Spanish natives were included. Latinx were younger (50 vs 55 years p < 0.001) and had less comorbidities (29.4% vs 55.0% p < 0.001) than Spanish natives. More often they exhibited fever (22.1% vs 9.8% p = 0.018) and had higher inflammatory markers (PCR) (11.3 mg/dl vs 7.7 mg/dl p < 0.001). Mortality seemed lower among Latinx (4.7% vs 8.7%, p = 0.017). No association was found between ethnicity and mortality. Respiratory failure [OR = 23.978 (CI 95% 9.4-60.1) p < 0.001], LDH [OR (per unitary increment) = 1.002; CI95% (1.000-1.004;p = 0.036] and PCR [OR (per unitary increment) = 1.044 (CI95% 1.06-1.08); p = 0.02] were independently associated to mortality. CONCLUSIONS: We were unable to identify significant ethnic disparities between Latinx and Spanish natives in terms of COVID-19 mortality. Universal access to the health care system in Spain may have contributed to a better outcome of Latinx patients. Differences previously described might be a consequence of socioeconomic disparities.

The COVID-19 Pandemic Contributed to Disparities in Housing-Cost Burden Among WIC-Participating Households in the Most Populous County in California.

Affordable housing is necessary for the health and well-being of children and families. The coronavirus disease 2019 (COVID-19) pandemic affected the ability of low-income families to pay for housing. The aim of this study is to evaluate associations between household characteristics of participants of the Special Supplemental Nutrition Program for Women, Infants and Children (WIC), and housing-cost burden during the pandemic. WIC is a federally-funded nutrition assistance program for low-income mothers, infants, and children up to the age of 5. Data were from a 2020 survey of a random sample of WIC households (n = 5815) in Los Angeles County. Ordinal logistic regression determined the odds of being housing-cost burdened by parent respondent's race/ethnicity, household composition, employment, residence, and housing cost. Logistic regression determined if the pandemic contributed to the housing-cost burden. A total of 61% of households reported housing-cost burden, with two-thirds attributing the burden to the pandemic. Spanish-speaking Hispanic parents and white parents reported a higher prevalence of pandemic-related burden, while Asian, Black, and English-speaking Hispanic parents reported a higher prevalence of burden unrelated to the pandemic. Single-parent households, those experiencing residential instability, and those with high housing costs had higher odds of burden. Spanish-speaking Hispanic parents, white parents, homeowners, and those with high housing costs were more likely to attribute the burden to the pandemic. To ensure that existing inequities are not exacerbated, it is vital that housing assistance be available to low-income households that were disproportionately affected by the pandemic.