Racial-Ethnic disparities in stroke prevalence among patients with heart failure.

Racial-ethnic disparities exist in the prevalence and outcomes of heart failure (HF) and are presumed to be related to differences in cardiovascular risk factor burden and control. There is little data on stroke disparities among patients with HF or the factors responsible. We hypothesized disparities in stroke prevalence exist among patients with HF in a manner not fully explained by burden of cardiovascular disease. We analyzed data from the National Health and Nutrition Examination Survey (1999-2014). Cardiovascular profiles were compared by race/ethnicity. Using survey-weighted models, effect modification of the relationship between HF and stroke by race/ethnicity was examined adjusting for cardiovascular profiles. Of 40,437 participants, 2.5 % had HF. The HF cohort had a greater proportion of White and Black participants (77 % vs 74 % and 15 % vs 12 %, respectively) and fewer participants of Hispanic ethnicity (8 % vs 14 %). Stroke was 8 times more prevalent in HF (19.6 % vs 2.3 %, <0.001). Among individuals with HF, race-ethnic differences were identified in the prevalence and mean values of vascular risk factors but were largely driven by higher rates in Black participants. There was significant interaction between HF and race/ethnicity; HF increased the odds of stroke over 7-fold in participants of Hispanic ethnicity (aOR: 7.84; 95 % CI: 4.11-15.0) but to a lesser extent in Black and White participants (Black aOR: 2.49; 95 % CI: 1.72-3.60; White aOR: 3.36; 95 % CI: 2.57-4.40). People of Hispanic ethnicity with HF have a disproportionately higher risk of stroke in a manner not fully explained by differences in vascular risk profiles.

Gentrification Yields Racial And Ethnic Disparities In Exposure To Contextual Determinants Of Health.

This article examines racial and ethnic disparities in the relationship between gentrification and exposure to contextual determinants of health. In our study, we focused on changes in selected contextual determinants of health (health care access, social deprivation, air pollution, and walkability) and life expectancy during the period 2006-21 among residents of gentrifying census tracts in six large US cities that have experienced different gentrification patterns and have different levels of segregation: Chicago, Illinois; Los Angeles, California; New York, New York; Philadelphia, Pennsylvania; San Francisco, California; and Seattle, Washington. We found that gentrification was associated with overall improvements in the likelihood of living in Medically Underserved Areas across racial and ethnic groups, but it was also associated with increased social deprivation and reduced life expectancy among Black people, Hispanic people, and people of another or undetermined race or ethnicity. In contrast, we found that gentrification was related to better (or unchanged) contextual determinants of health for Asian people and White people. Our findings can inform policies that target communities identified to be particularly at risk for worsening contextual determinants of health as a result of gentrification.

Disparities in burden of disease in patients with rheumatoid arthritis across racial and ethnic groups.

To examine racial/ethnic differences in rheumatoid arthritis (RA) disease burden and change in clinical outcomes over time. We included CorEvitas Rheumatoid Arthritis Registry patients from two time periods (2013-2015 and 2018-2020). Clinical Disease Activity Index (CDAI) (as a continuous measure and as a dichotomous measure) and the Health Assessment Questionnaire-Disability Index (HAQ-DI) were assessed at each visit. Marginal means and their corresponding 95% confidence interval (CI) by race/ethnicity were estimated for each outcome using adjusted mixed effects linear and logistic regression models. Overall and pairwise tests were conducted to detect differences between race/ethnicity groups. Of 9,363 eligible patients (8,142 White, 527 Black, 545 Hispanic, 149 Asian), most (76%-85%) were female. At Visit 1, the mean disease duration ranged from 9.8-11.8 years. Estimated CDAI was significantly higher for Hispanics compared to Whites at Visit 1 (11.1 vs. 9.9; pairwise P = 0.033) and Visit 2 (9.2 vs. 8.0, pairwise P = 0.005). Disease activity improved over the 5-year study period among all race/ethnicity groups, though Hispanics improved less than Whites. Disease activity improved over the 5-year period across all racial/ethnicity groups, and disparities between racial/ethnicity groups in disease activity and functional status did persist over time, suggesting that further effort is needed to understand the drivers of these discrepancies to close this race/ethnicity gap. Key Points • Disease activity improved over the 5-year period across all racial and ethnic groups. • Disparities between racial and ethnic groups in disease activity and functional status did persist over time, suggesting that further effort is needed to understand the drivers of these discrepancies and close this racial gap.

Racial and Ethnic Disparities in Excess All-Cause Mortality in the First Year of the COVID-19 Pandemic.

Research on the COVID-19 pandemic in the United States has consistently found disproportionately high mortality among ethnoracial minorities, but reports differ with respect to the magnitude of mortality disparities and reach different conclusions regarding which groups were most impacted. We suggest that these variations stem from differences in the temporal scope of the mortality data used and difficulties inherent in measuring race and ethnicity. To circumvent these issues, we link Social Security Administration death records for 2010 through 2021 to decennial census and American Community Survey race and ethnicity responses. We use these linked data to estimate excess all-cause mortality for age-, sex-, race-, and ethnicity-specific subgroups and examine ethnoracial variation in excess mortality across states and over the course of the pandemic's first year. Results show that non-Hispanic American Indians and Alaska Natives experienced the highest excess mortality of any ethnoracial group in the first year of the pandemic, followed by Hispanics and non-Hispanic Blacks. Spatiotemporal and age-specific ethnoracial disparities suggest that the socioeconomic determinants driving health disparities prior to the pandemic were amplified and expressed in new ways in the pandemic's first year to disproportionately concentrate excess mortality among racial and ethnic minorities.

Assessment of Health Disparities and Barriers to Accessing Keratoconus and Crosslinking at a Tertiary Referral Center.

PURPOSE: The aim of this study was to determine the barriers to accessing the crosslinking service in Auckland, New Zealand. METHODS: This was a prospective 1-year study of patients at Auckland District Health Board. Studied parameters included age, sex, body mass index, ethnicity, New Zealand Deprivation (NZDep; an area-based measure of socioeconomic status, 1 = low deprivation-10 = high deprivation) score of residence, disease severity (maximum keratometry and thinnest corneal thickness), attendance, distance travelled, car ownership, employment status, and visual outcomes. Statistical analysis was performed using independent t tests, Pearson correlation, independent samples ANOVA, MANCOVA, and binomial logistic regression. RESULTS: Four hundred fifty-four patients with keratoconus were analyzed and had a mean age of 24.1 ± 0.8 years, mean body mass index of 33.0 ± 9.7 kg/m 2 , and 43% were female. Pacific Peoples consisted 40.2% of the population; Maori 27.2%; Europeans 21.2%; Asian 9.9%; and Middle Eastern, Latin American, and African (MELAA) 1.3%. The mean distance travelled was 12.5 ± 9.5 km, NZDep score was 6.8 ± 2.6, and attendance was 69.0 ± 42.5%. The lowest attendance was observed in Pacific Peoples (58.9%) and the highest was in Asians (90%) ( P = 0.019). The mean worst-eye visual acuity at attendance was 0.75 ± 0.47 logMAR (6/35). Unemployment was associated with worse best-eye visual acuity at FSA ( P = 0.01) and follow-up ( P < 0.05). Maori and Pacific Peoples had the highest NZDep ( P < 0.001), were younger at presentation ( P = 0.019), had higher disease severity ( P < 0.001), and worse visual acuity ( P < 0.001). CONCLUSIONS: Poor attendance was seen in this cohort. Pacific Peoples and Maori presented younger with worse disease severity and visual acuity but also had the highest nonattendance. These results suggest that deprivation, factors associated with ethnicity, and unemployment are potential barriers to attendance.

Asthma morbidity measures across Black ethnic subgroups.

BACKGROUND: Black adults are disproportionately affected by asthma and are often considered a homogeneous group in research studies despite cultural and ancestral differences. OBJECTIVE: We sought to determine if asthma morbidity differs across adults in Black ethnic subgroups. METHODS: Adults with moderate-severe asthma were recruited across the continental United States and Puerto Rico for the PREPARE (PeRson EmPowered Asthma RElief) trial. Using self-identifications, we categorized multiethnic Black (ME/B) participants (n = 226) as Black Latinx participants (n = 146) or Caribbean, continental African, or other Black participants (n = 80). African American (AA/B) participants (n = 518) were categorized as Black participants who identified their ethnicity as being American. Baseline characteristics and retrospective asthma morbidity measures (self-reported exacerbations requiring systemic corticosteroids [SCs], emergency department/urgent care [ED/UC] visits, hospitalizations) were compared across subgroups using multivariable regression. RESULTS: Compared with AA/B participants, ME/B participants were more likely to be younger, residing in the US Northeast, and Spanish speaking and to have lower body mass index, health literacy, and <1 comorbidity, but higher blood eosinophil counts. In a multivariable analysis, ME/B participants were significantly more likely to have ED/UC visits (incidence rate ratio [IRR] = 1.34, 95% CI = 1.04-1.72) and SC use (IRR = 1.27, 95% CI = 1.00-1.62) for asthma than AA/B participants. Of the ME/B subgroups, Puerto Rican Black Latinx participants (n = 120) were significantly more likely to have ED/UC visits (IRR = 1.64, 95% CI = 1.22-2.21) and SC use for asthma (IRR = 1.43, 95% CI = 1.06-1.92) than AA/B participants. There were no significant differences in hospitalizations for asthma among subgroups. CONCLUSIONS: ME/B adults, specifically Puerto Rican Black Latinx adults, have higher risk of ED/UC visits and SC use for asthma than other Black subgroups.

Predicting Covid-19 infection and death rates among E.U. minority populations in the absence of racially disaggregated data through the use of US data comparisons.

BACKGROUND: The E.U.'s lack of racially disaggregated data impedes the formulation of effective interventions, and crises such as Covid-19 may continue to impact minorities more severely. Our predictive model offers insight into the disparate ways in which Covid-19 has likely impacted E.U. minorities and allows for the inference of differences in Covid-19 infection and death rates between E.U. minority and non-minority populations. METHODS: Data covering Covid-19, social determinants of health and minority status were included from 1 March 2020 to 28 February 2021. A systematic comparison of US and E.U. states enabled the projection of Covid-19 infection and death rates for minorities and non-minorities in E.U. states. RESULTS: The model predicted Covid-19 infection rates with 95-100% accuracy for 23 out of 28 E.U. states. Projections for Covid-19 infection and mortality rates among E.U. minority groups illustrate parallel trends to US rates. CONCLUSIONS: Disparities in Covid-19 infection and death rates by minority status likely exist in patterns similar to those observed in US data. Policy Implications: Collecting data by race/ethnicity in the E.U. would help document health disparities and craft more targeted health interventions and mitigation strategies.

Racial Inequities in Mortality Rate in Hospitalized Children.

BACKGROUND AND OBJECTIVES: Racial/ethnic inequities for inpatient mortality in children at a national level in the U.S. have not been explored. The objective of this study was to evaluate differences in inpatient mortality rate among different racial/ethnic groups, using the Kids' Inpatient Database. METHODS: A cross-sectional study of children of ages greater than 28 days and less than 21 years discharged during 2012 and 2016. Racial/ethnic groups - White, Black, Hispanic, Asian and Pacific Islander and Native Americans were analyzed in two cohorts, Cohort A (all discharges) and Cohort B (ventilated children). RESULTS: A total of 4,247,604 and 79,116 discharges were included in cohorts A and B, respectively. Univariate analysis showed that the inpatient mortality rate was highest among Asian and Pacific Islander children for both cohorts: A (0.47% [0.42-0.51]), B (10.9% [9.8-12.1]). Regression analysis showed that Asian and Pacific Islander and Black children had increased odds of inpatient mortality compared to White children: A (1.319 [1.162-1.496], 1.178 [1.105-1.257], respectively) and B (1.391 [1.199-1.613], 1.163 [1.079-1.255], respectively). Population-based hospital mortality was highest in Black children (1.17 per 10,000 children). CONCLUSIONS: Inpatient mortality rates are significantly higher in U.S. children of Asian and Pacific Islander and Black races compared to White children. U.S. population-based metrics such as hospitalization rate, ventilation rate, and hospital mortality rate are highest in Black children. Our data suggest that lower median household income alone may not account for a higher inpatient mortality rate. The causes and prevention of racial and ethnic inequities in hospitalized children need to be explored further.

Public Benefit Programs and Differential Associations With Child Maltreatment by Race and Ethnicity.

Importance: Public benefit programs, including state spending on local, state, and federal-state partnership programs, have consistently been associated with overall reductions in child protective services (CPS) involvement. Inequities in eligibility and access to benefit programs may contribute to varying associations by race and ethnicity. Objective: To determine whether associations between state spending on benefit programs and rates of CPS investigations differ by race and ethnicity. Design, Setting, and Participants: This cross-sectional ecological study used repeated state-level measures of child maltreatment from the National Child Abuse and Neglect Data System and population estimates from the US Census Bureau for all Black, Hispanic, and White children. All 50 US states from October 1, 2009, through September 30, 2019 (fiscal years 2010-2019), were included. Data were collected and analyzed from May 13, 2022, to March 2, 2023. Exposures: Annual state spending on benefit programs per person living below the federal poverty limit, total and by the following subcategories: (1) cash, housing, and in-kind; (2) housing infrastructure; (3) child care assistance; (4) refundable earned income tax credit; and (5) medical assistance programs. Main Outcomes and Measures: Race- and ethnicity-specific rates of CPS investigations. Generalized estimating equations, with repeated measures of states, an interaction between race and spending, and estimated incidence rate ratios (IRRs) and 95% CIs for incremental changes in spending of US $1000 per person living below the federal poverty limit were calculated after adjustment for federal spending, race- and ethnicity-specific child poverty rate, and year. Results: A total of 493 state-year observations were included in the analysis. The association between total spending and CPS investigations differed significantly by race and ethnicity: there was an inverse association between total state spending and CPS investigations for White children (IRR, 0.94 [95% CI, 0.91-0.98]) but not for Black children (IRR, 0.98 [95% CI, 0.94-1.02]) or Hispanic children (IRR, 0.99 [95% CI, 0.95-1.03]) (P = .02 for interaction). Likewise, inverse associations were present for only White children with respect to all subcategories of state spending and differed significantly from Black and Hispanic children for all subcategories except the refundable earned income tax credit (eg, IRR for medical assistance programs for White children, 0.89 [95% CI, 0.82-0.96]; P = .005 for race and spending interaction term). Conclusions and Relevance: These results raise concerns that benefit programs may add relative advantages for White children compared with Black and Hispanic children and contribute to racial and ethnic disparities in CPS investigations. States' eligibility criteria and distribution practices should be examined to promote equitable effects on adverse child outcomes.

United States Life Tables, 2021.

Objectives-This report presents complete period life tables for the United States by Hispanic origin and race and sex, based on age-specific death rates in 2021. Methods-Data used to prepare the 2021 life tables are 2021 final mortality statistics; July 1, 2021, population estimates based on the Blended Base population estimates produced by the U.S. Census Bureau; and 2021 Medicare data for people ages 66-99. The methodology used to estimate life tables for the Hispanic population remains unchanged from that developed for the publication of life tables by Hispanic origin for data year 2006. The same methodology is used to estimate life tables for the American Indian and Alaska Native non-Hispanic and Asian non-Hispanic populations. The methodology used to estimate the 2021 life tables for all other groups was first implemented with data year 2008. Results-In 2021, the overall expectation of life at birth was 76.4 years, decreasing 0.6 year from 77.0 in 2020. From 2020 to 2021, life expectancy at birth decreased by 0.7 year for males (from 74.2 to 73.5) and by 0.6 year for females (79.9 to 79.3). Between 2020 and 2021, life expectancy decreased by 1.5 years for the American Indian and Alaska Native non-Hispanic population (67.1 to 65.6), 0.7 year for the White non-Hispanic population (77.4 to 76.7), 0.3 year for the Black non-Hispanic population (71.5 to 71.2), 0.1 year for the Hispanic population (77.9 to 77.8), and 0.1 year for the Asian non-Hispanic population (83.6 to 83.5).

The Hawai'i NHPI Data Disaggregation Imperative: Preventing Data Genocide Through Statewide Race and Ethnicity Standards.

Federal race and ethnicity data standards are commonly applied within the state of Hawai'i. When a multiracial category is used, Native Hawaiians are disproportionately affected since they are more likely than any other group to identify with an additional race or ethnicity group. These data conventions contribute to a phenomenon known as data genocide - the systematic erasure of Indigenous and marginalized peoples from population data. While data aggregation may be unintentional or due to real or perceived barriers, the obstacles to disaggregating data must be overcome to advance health equity. In this call for greater attention to relevant social determinants of health through disaggregation of race and ethnicity data, the history of data standards is reviewed, the implications of aggregation are discussed, and recommended disaggregation strategies are provided.

Ethnic differences in the association between age at diagnosis of diabetes and the risk of cardiovascular complications: a population-based cohort study.

BACKGROUND: We examined ethnic differences in the association between age at diagnosis of diabetes and the risk of cardiovascular complications. METHODS: We conducted a population-based cohort study in Ontario, Canada among individuals with diabetes and matched individuals without diabetes (2002-18). We fit Cox proportional hazards models to determine the associations of age at diagnosis and ethnicity (Chinese, South Asian, general population) with cardiovascular complications. We tested for an interaction between age at diagnosis and ethnicity. RESULTS: There were 453,433 individuals with diabetes (49.7% women) and 453,433 matches. There was a significant interaction between age at diagnosis and ethnicity (P < 0.0001). Young-onset diabetes (age at diagnosis < 40) was associated with higher cardiovascular risk [hazard ratios: Chinese 4.25 (3.05-5.91), South Asian: 3.82 (3.19-4.57), General: 3.46 (3.26-3.66)] than usual-onset diabetes [age at diagnosis ≥ 40 years; Chinese: 2.22 (2.04-2.66), South Asian: 2.43 (2.22-2.66), General: 1.83 (1.81-1.86)] versus ethnicity-matched individuals. Among those with young-onset diabetes, Chinese ethnicity was associated with lower overall cardiovascular [0.44 (0.32-0.61)] but similar stroke risks versus the general population; while South Asian ethnicity was associated with lower overall cardiovascular [0.75 (0.64-0.89)] but similar coronary artery disease risks versus the general population. In usual-onset diabetes, Chinese ethnicity was associated with lower cardiovascular risk [0.44 (0.42-0.46)], while South Asian ethnicity was associated with lower cardiovascular [0.90 (0.86-0.95)] and higher coronary artery disease [1.08 (1.01-1.15)] risks versus the general population. CONCLUSIONS: There are important ethnic differences in the association between age at diagnosis and risk of cardiovascular complications.

Association of Socioeconomic Status With Life's Essential 8 Varies by Race and Ethnicity.

Background The American Heart Association's Life's Essential 8 (LE8) are 8 risk factors for cardiovascular disease, with poor attainment across all racial, ethnic, and socioeconomic groups. Attainment is lowest among Americans of low socioeconomic status (SES). Evidence suggests the association of SES with LE8 may vary by race and ethnicity. Methods and Results The association of 4 SES categories (education, income-to-poverty line ratio, employment, insurance) with LE8 was computed in age-adjusted linear regression models, with an interaction term for race and ethnicity, using National Health and Nutrition Examination Survey data, years 2011 to 2018. The sample (n=13 529) had a median age of 48 years (51% female) with weighting to be representative of the US population. The magnitude of positive association of college education (relative to ≤high school) with LE8 was greater among non-Hispanic White Americans (NHWA) compared with non-Hispanic Black Americans, Hispanic Americans, and non-Hispanic Asian Americans (all interactions P<0.001). NHWA had a greater magnitude of positive association of income-to-poverty line ratio with LE8, compared with non-Hispanic Black Americans, Hispanic Americans, and non-Hispanic Asian Americans (all interactions P<0.001). NHWA with Medicaid compared with private insurance had a greater magnitude of negative association with LE8 compared with non-Hispanic Black Americans, non-Hispanic Asian Americans, or Hispanic Americans (all interactions P<0.01). NHWA unemployed due to disability or health condition (compared with employed) had a greater magnitude of negative association with LE8 than non-Hispanic Black Americans, non-Hispanic Asian Americans, or Hispanic Americans (all interactions P<0.05). Conclusions The magnitude of association of SES with LE8 is greatest among NHWA. More research is needed on SES's role in LE8 attainment in minority group populations.

School-Based Health Centers, Access to Care, and Income-Based Disparities.

Importance: School-based health centers (SBHCs) are primary care clinics colocated at schools. SBHCs have the potential to improve health care access and reduce disparities, but there is limited rigorous evidence on their effectiveness at the national level. Objective: To determine whether county-level adoption of SBHCs was associated with access, utilization, and health among children from low-income families and to measure reductions in income-based disparities. Design, Setting, and Participants: This survey study used a difference-in-differences design and data from a nationally representative sample of children in the US merged with SBHC indicators from the National Census of School-Based Health Centers. The main sample included children aged 5 to 17 years with family incomes that were less than 200% of the federal poverty level observed in the National Health Interview Survey, collected between 1997 to 2018. The sample was restricted to children living in a county that adopted a center between 2003 and 2013 or that did not have a center at any time during the study period. Analyses of income-based disparities included children from higher income families (ie, 200% or higher than the federal poverty level). Data were analyzed between January 2020 and July 2023. Exposure: County-by-year SBHC adoption. Main Outcomes and Measures: Outcomes included access (usual source of care, insurance status, barriers), ambulatory care use (general physician, eye doctor, dental, mental health visits), and health (general health status, missed school days due to illness). P values were adjusted for multiple comparisons using the sharpened q value method. Results: This study included 12 624 unweighted children from low-income families and 24 631 unweighted children from higher income families. The weighted percentage of children in low-income families who resided in counties with SBHC adoption included 50.0% aged 5 to 10 years. The weighted percentages of the race and ethnicity of these children included 36.7% Hispanic children, 25.2% non-Hispanic Black children, and 30.6% non-Hispanic White children. The weighted percentages of children in the counties that never adopted SBHCs included 50.1% aged 5 to 10 years. The weighted percentages of the race and ethnicity of these children included 20.7% Hispanic children, 22.4% non-Hispanic Black children, and 52.9% non-Hispanic White children. SBHC adoption was associated with a 6.4 percentage point increase in dental visits (95% CI, 3.2-9.6 percentage points; P < .001), an 8.0 percentage point increase in having a usual source of care (95% CI, 4.5-11.5 percentage points; P < .001), and a 5.2 percentage point increase in insurance (95% CI, 1.2-9.2 percentage points; P = .03). No other statistically significant associations were found with other outcomes. SBHCs were associated with relative reductions in income-based disparities to dental visits by 76% (4.9 percentage points; 95% CI, 2.0-7.7 percentage points), to insured status by 63% (3.5 percentage points; 95% CI, 1.3-5.7 percentage points), and to having a usual source of care by 98% (7.2 percentage points; 95% CI, 5.4-9.1 percentage points). Conclusions and Relevance: In this survey study with difference-in-differences analysis of SBHC adoption, SBHCs were associated with access to care and reduced income-based disparities. These findings support additional SBHC expansion.

Addressing Inequalities in Breast Cancer Care Delivery.

Breast cancer treatment, timeliness of care, and clinical outcomes are inferior for patients of Black race and Hispanic ethnicity, and the origin of these inequities is multifactorial. Owing to aggregate reporting of data in the United States for patients of Asian, Native Hawaiian, and Pacific Islander ancestry, disparities within and across these groups are difficult to appreciate. In large part due to low prevalence, male breast cancer remains understudied, and treatment algorithms are primarily extrapolated from research conducted in female patients.

Racial Disparities in Emergency Department Physical Restraint Use: A Systematic Review and Meta-Analysis.

Importance: Recent studies have demonstrated that people of color are more likely to be restrained in emergency department (ED) settings compared with other patients, but many of these studies are based at a single site or health care system, limiting their generalizability. Objective: To synthesize existing literature on risk of physical restraint use in adult EDs, specifically in reference to patients of different racial and ethnic backgrounds. Data Sources: A systematic search of PubMed, Embase, Web of Science, and CINAHL was performed from database inception to February 8, 2022. Study Selection: Included peer-reviewed studies met 3 criteria: (1) published in English, (2) original human participants research performed in an adult ED, and (3) reported an outcome of physical restraint use by patient race or ethnicity. Studies were excluded if they were conducted outside of the US, or if full text was unavailable. Data Extraction and Synthesis: Four independent reviewers (V.E., M.M., D.D., and A.H.) abstracted data from selected articles following Meta-Analysis of Observational Studies in Epidemiology guidelines. A modified Newcastle-Ottawa scale was used to assess quality. A meta-analysis of restraint outcomes among minoritized racial and ethnic groups was performed using a random-effects model in 2022. Main Outcome(s) and Measure(s): Risk of physical restraint use in adult ED patients by racial and ethnic background. Results: The search yielded 1597 articles, of which 10 met inclusion criteria (0.63%). These studies represented 2 557 983 patient encounters and 24 030 events of physical restraint (0.94%). In the meta-analysis, Black patients were more likely to be restrained compared with White patients (RR, 1.31; 95% CI, 1.19-1.43) and to all non-Black patients (RR, 1.27; 95% CI, 1.23-1.31). With respect to ethnicity, Hispanic patients were less likely to be restrained compared with non-Hispanic patients (RR, 0.85; 95% CI, 0.81-0.89). Conclusions and Relevance: Physical restraint was uncommon, occurring in less than 1% of encounters, but adult Black patients experienced a significantly higher risk of physical restraint in ED settings compared with other racial groups. Hispanic patients were less likely to be restrained compared with non-Hispanic patients, though this observation may have occurred if Black patients, with a higher risk of restraint, were included in the non-Hispanic group. Further work, including qualitative studies, to explore and address mechanisms of racism at the interpersonal, institutional, and structural levels are needed.

Years of life lost due to deaths of despair and COVID-19 in the United States in 2020: patterns of excess mortality by gender, race and ethnicity.

BACKGROUND: In 2020 COVID-19 was the third leading cause of death in the United States. Increases in suicides, overdoses, and alcohol related deaths were seen-which make up deaths of despair. How deaths of despair compare to COVID-19 across racial, ethnic, and gender subpopulations is relatively unknown. Preliminary studies showed inequalities in COVID-19 mortality for Black and Hispanic Americans in the pandemic's onset. This study analyzes the racial, ethnic and gender disparities in years of life lost due to COVID-19 and deaths of despair (suicide, overdose, and alcohol deaths) in 2020. METHODS: This cross-sectional study calculated and compared years of life lost (YLL) due to Deaths of Despair and COVID-19 by gender, race, and ethnicity. YLL was calculated using the CDC WONDER database to pull death records based on ICD-10 codes and the Social Security Administration Period Life Table was used to get estimated life expectancy for each subpopulation. RESULTS: In 2020, COVID-19 caused 350,831 deaths and 4,405,699 YLL. By contrast, deaths of despair contributed to 178,598 deaths and 6,045,819 YLL. Men had more deaths and YLL than women due to COVID-19 and deaths of despair. Among White Americans and more than one race identification both had greater burden of deaths of despair YLL than COVID-19 YLL. However, for all other racial categories (Native American/Alaskan Native, Asian, Black/African American, Native Hawaiian/Pacific Islander) COVID-19 caused more YLL than deaths of despair. Also, Hispanic or Latino persons had disproportionately higher mortality across all causes: COVID-19 and all deaths of despair causes. CONCLUSIONS: This study found greater deaths of despair mortality burden and differences in burden across gender, race, and ethnicity in 2020. The results indicate the need to bolster behavioral health research, support mental health workforce development and education, increase access to evidence-based substance use treatment, and address systemic inequities and social determinants of deaths of despair and COVID-19.

US Postgraduate Trainee Racial, Ethnic, and Gender Representation and Faculty Compensation By Specialty.

This study compares postgraduate trainee racial, ethnic, and gender representation and faculty compensation for 21 clinical specialties using 2015-2022 data.

Global disparities in patients with multiple myeloma: a rapid evidence assessment.

There are disparities in outcomes for patients with multiple myeloma (MM). We evaluated the influence of sociodemographic factors on global disparities in outcomes for patients with MM. This rapid evidence assessment (PROSPERO, CRD42021248461) followed PRISMA-P guidelines and used the PICOS framework. PubMed and Embase® were searched for articles in English from 2011 to 2021. The title, abstract, and full text of articles were screened according to inclusion/exclusion criteria. The sociodemographic factors assessed were age, sex, race/ethnicity, socioeconomic status, and geographic location. Outcomes were diagnosis, access to treatment, and patient outcomes. Of 84 articles included, 48 were US-based. Worldwide, increasing age and low socioeconomic status were associated with worse patient outcomes. In the US, men typically had worse outcomes than women, although women had poorer access to treatment, as did Black, Asian, and Hispanic patients. No consistent disparities due to sex were seen outside the US, and for most factors and outcomes, no consistent disparities could be identified globally. Too few studies examined disparities in diagnosis to draw firm conclusions. This first systematic analysis of health disparities in patients with MM identified specific populations affected, highlighting a need for additional research focused on assessing patterns, trends, and underlying drivers of disparities in MM.

How Education Shapes Women's Work and Family Lives Across Race and Ethnicity.

Drawing on life course and intersectional approaches, this study examines how education shapes the intertwined domains of work and family across race and ethnicity. By applying multichannel sequence analysis and cluster analysis to the National Longitudinal Survey of Youth 1979, we identify a typology of life course trajectories of work and family and test for the interactive associations of race and ethnicity with college education for different trajectory types. While our results show statistically significant and often sizable education effects across racial and ethnic groups for most of the work‒family clusters, they also suggest that the size and direction of the education effect vary widely across groups. Educational attainment plays an outsize role in shaping Black women's work‒family lives, increasing their access to steady work and partnerships, while educational attainment primarily works to increase White women's participation in part-time work. In contrast, Latina women's work‒family trajectories are less responsive to their educational attainment. In combination, the racialized role of education and persistent racial and ethnic gaps across the education distribution yield unequal patterns in work‒family strategies among Black, Latina, and White women.