The Asian American Vote in 2020: Indicators of Turnout and Vote Choice

What were the indicators of voter turnout and presidential vote choice among Asian Americans in 2020? We argue that 2020 was a unique year in which race was salient for Asian Americans due to the rise of anti-Asian attitudes attributed to the COVID-19 pandemic and the opportunity to elect a vice presidential candidate of Asian descent. Because of this, racial considerations played a unique role that informed Asian American political participation and attitudes in this election. Using data from the 2020 Collaborative Multiracial Post-Election Survey, we identify the individual-level factors associated with turnout and presidential vote choice among Asian Americans. We find that stronger perceptions of racial discrimination were related to a higher likelihood of turnout and voting in support of the Democratic Party, especially among Asian immigrants relative to the native-born. This study offers new insight for when we can expect racial considerations to inform the politics of Asian Americans, who are the fastest growing racial group in the United States and therefore an increasingly important bloc of the electorate.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11109-022-09844-9.

American Indians and atrial fibrillation

The American Indian population is known to experience high rates of cardiovascular disease and have a heightened vulnerability to severe outcomes driven by an overall poor health status and lower access to quality health care. Our group has previously published an analysis demonstrating that American Indians have the highest risk of atrial fibrillation (AF), as well as of AF-related stroke, when compared with other races and ethnicities. Despite this, AF in this population has not been extensively studied and additional publications are scarce. Our review article provides an up-to-date summary of the relevant literature addressing the relationship between race, ethnicity, and AF by focusing on American Indians.

Extreme risk protection orders, race/ethnicity, and equity: Evidence from California

Extreme risk protection orders (ERPOs) provide a civil mechanism to temporarily remove firearm access from individuals at high risk of harming themselves or others. Evidence and theory suggest that ERPOs can prevent firearm-related harm, but the policy's impact on racial/ethnic equity is largely unknown. To examine potential inequities by race/ethnicity in public perceptions and use of California's ERPO law, we drew on two complementary data sources: 1) a 2020 state-representative survey of California adults, and 2) ERPO court documents for the first 3 years of policy implementation (2016-2018). Majorities (54-89%) of all racial/ethnic groups reported that ERPOs are at least sometimes appropriate, and 64-94% were willing to ask a judge for an ERPO for a family member. However, Black and Hispanic/Latinx survey participants less often perceived ERPOs as appropriate and were less willing to serve as petitioners, with Black participants citing lack of knowledge about ERPOs and not trusting the system to be fair as their top reasons for unwillingness. Similarly, review of ERPO court documents revealed that no family or household members served as petitioners for Black and Hispanic/Latinx ERPO respondents. Additionally, Black respondents were the least likely to have documented access to a firearm and legal representation in court. Racial/ethnic equity in ERPO use may be improved by reducing barriers to petitioning, incorporating non-law enforcement intervention professionals like behavioral health specialists into the ERPO process, providing legal assistance to respondents and petitioners, and investing in the social safety net.

Health Disparities in the Treatment of Supraventricular Tachycardia in Pediatric Patients

Supraventricular tachycardia (SVT) is a common pediatric arrhythmia. The objective of this investigation was to investigate the existence and degree of the health disparities in the treatment of pediatric patients with supraventricular tachycardia based on sociodemographic factors. This was retrospective cohort study at a large academic medical center including children ages 5-18 years old diagnosed with SVT. Patients with congenital heart disease and myocarditis were excluded. Initial treatment and ultimate treatment with either medical management or ablation were determined. The odds of having an ablation procedure were determined based on patient age, sex, race, ethnicity, and insurance status. There was a larger portion of non-White patients (p = 0.033) within the cohort that did not receive an ablation during the study period. Patients that were younger, female, American Indian/Alaskan Native, unknown race, and had missing insurance information were less likely to receive ablation therapy during the study period. In this single center, regional evaluation, we demonstrated that disparities in the treatment of pediatric SVT are present based on multiple patient sociodemographic factors. This study adds evidence to the presence of inequities in health care delivery across pediatric populations.

The social determinants of ideal cardiovascular health: A global systematic review

This systematic review synthesizes research published from January 2010-July 2022 on the social determinants of ideal cardiovascular health (CVH) carried out around the world and compares trends in high-income countries (HICs) to those in low- and middle-income countries (LMICs). 41 studies met inclusion criteria (n = 28 HICs, n = 13 LMICs). Most were from the United States (n = 22) and cross-sectional (n = 33), and nearly all evaluated associations among adults. Among studies conducted in LMICs, nearly all were from middle-income countries and only one was carried out in low-income country. Education (n = 24) and income/wealth (n = 17) were the most frequently examined social determinants in both HICs and LMICs. Although most studies assessed ideal CVH using reliable and valid methods (n = 24), only 7 used criteria pre-defined by the American Heart Association to characterize ideal levels of each CVH metric. Despite heterogeneity in how outcome measures were derived and analyzed, consistent associations were evident between multiple markers of higher social status (i.e. greater education, income/wealth, socioeconomic status, racial/ethnic majority status) and greater levels of ideal CVH across both country contexts. Gaps in the literature include evidence from LMICs and HICs other than the United States, longitudinal research, and investigations of a wider array of social determinants beyond education and income/wealth.

Communities of color are disproportionately exposed to long-term and short-term PM2.5 in metropolitan America

We conducted a novel investigation of neighborhood-level racial/ethnic exposure disparities employing measures aligned with long-term and short-term PM_2.5 air pollution benchmarks across metropolitan contexts of the contiguous United States, 2012-2016. We used multivariable generalized estimating equations (GEE) to quantify PM_2.5 exposure disparities based on the census tract composition of people of color (POC) and POC groups (Hispanic/Latina/x/o, Black, Asian). We examined eight census tract-level measures of longer-to-shorter term exposures derived from data on modeled daily ambient PM_2.5 concentrations. We found associations between increased POC composition and greater exposure to all PM_2.5 measures, with associations strengthening across measures of longer-to-shorter term exposures. In a GEE with a negative binomial distribution, a standard deviation increase in POC composition predicted a 0.6% increase (incidence rate ratio (IRR): 1.006, 95% confidence interval (CI): 1.005-1.008) in the number of days PM_2.5 concentrations were ≥5 μg/m³ (longest-term benchmark). In a GEE with an inverse Gaussian distribution, a standard deviation increase in POC composition predicted a 0.110 μg/m³ (1.0%) increase (B: 0.110, 95% CI: 0.076-0.143) in mean PM_2.5 concentration. In GEEs with a negative binomial distribution, the effect of a standard deviation increase in POC composition on exposure strengthened to 2.6% (IRR:1.026, 95% CI:1.017-1.035), 3.4% (IRR:1.034, 95% CI:1.022-1.047), 4.2% (IRR:1.042, 95% CI:1.025-1.058), 16.2% (IRR:1.162, 95% CI:1.117-1.210), 22.7% (IRR:1.227, 95% CI:1.137-1.325) and 28.3% (IRR:1.283, 95% CI:1.144-1.439) with respect to the number of days PM_2.5 concentrations were ≥10, 12, 15, 25, 35 and 55.5 μg/m³. POC group models indicated exposure disparities based on greater Hispanic/Latina/x/o, Asian, and Black composition. Evidence for stronger POC associations with shorter-term (higher concentration) PM_2.5 exceedances suggests that reducing PM_2.5 would attenuate racial/ethnic exposure disparities.

What explains racial/ethnic inequities in the uptake of differentiated influenza vaccines?

We investigated the role of individual, community and vaccinator characteristics in mediating racial/ethnic disparities in the uptake of differentiated influenza vaccines (DIVs; including high-dose, adjuvanted, recombinant and cell-based vaccines). We included privately-insured (commercial and Medicare Advantage) ≥65 years-old community-dwelling health plan beneficiaries in the US with >1 year of continuous coverage and who received ≥1 influenza vaccine during the study period (July 2014-June 2018). Of 2.8 million distinct vaccination claims, 60% were for DIVs; lower if received in physician offices (49%) compared to pharmacies/facilities (74%). Among those vaccinated in physician offices, non-whites had lower odds of receiving a DIV if they lived in a non-minority county (0.77;95%CI 0.75-0.80) and even lower odds if they lived in a minority county (0.62;0.60-0.63). Differences in education, household income, medical history, community and vaccinator characteristics did not fully explain the disparities. Similar patterns emerged for vaccinations in pharmacies/facilities, although disparities disappeared altogether after controlling for socio-economic and vaccinator characteristics. When vaccinated in physician offices, minority county residents were less likely to receive a DIV, especially for non-whites (0.72;0.67-0.78). These disparities disappeared for whites, but not for non-whites, after controlling for community and vaccinator characteristics. We found an alarming level of inequity in DIV vaccine uptake among fully insured older adults that could not be fully explained by differences in sociodemographic, medical, community, and vaccinator characteristics. New strategies are urgently needed to address these inequities.

Data Representativeness in Accessibility Datasets: A Meta-Analysis

As data-driven systems are increasingly deployed at scale, ethical concerns have arisen around unfair and discriminatory outcomes for historically marginalized groups that are underrepresented in training data. In response, work around AI fairness and inclusion has called for datasets that are representative of various demographic groups. In this paper, we contribute an analysis of the representativeness of age, gender, and race & ethnicity in accessibility datasets-datasets sourced from people with disabilities and older adults-that can potentially play an important role in mitigating bias for inclusive AI-infused applications. We examine the current state of representation within datasets sourced by people with disabilities by reviewing publicly-available information of 190 datasets, we call these accessibility datasets. We find that accessibility datasets represent diverse ages, but have gender and race representation gaps. Additionally, we investigate how the sensitive and complex nature of demographic variables makes classification difficult and inconsistent (e.g., gender, race & ethnicity), with the source of labeling often unknown. By reflecting on the current challenges and opportunities for representation of disabled data contributors, we hope our effort expands the space of possibility for greater inclusion of marginalized communities in AI-infused systems.

Missing Race and Ethnicity Data among COVID-19 Cases in Massachusetts

Infectious disease surveillance frequently lacks complete information on race and ethnicity, making it difficult to identify health inequities. Greater awareness of this issue has occurred due to the COVID-19 pandemic, during which inequities in cases, hospitalizations, and deaths were reported but with evidence of substantial missing demographic details. Although the problem of missing race and ethnicity data in COVID-19 cases has been well documented, neither its spatiotemporal variation nor its particular drivers have been characterized. Using individual-level data on confirmed COVID-19 cases in Massachusetts from March 2020 to February 2021, we show how missing race and ethnicity data: (1) varied over time, appearing to increase sharply during two different periods of rapid case growth; (2) differed substantially between towns, indicating a nonrandom distribution; and (3) was associated significantly with several individual- and town-level characteristics in a mixed-effects regression model, suggesting a combination of personal and infrastructural drivers of missing data that persisted despite state and federal data-collection mandates. We discuss how a variety of factors may contribute to persistent missing data but could potentially be mitigated in future contexts.

The correlations among racial/ethnic groups, hypertriglyceridemia, thrombosis, and mortality in hospitalized patients with COVID-19

Reports of racial and ethnic disparities regarding both rates of infection of the SARS-CoV-2 virus and morbidity of the coronavirus disease-19 (COVID-19) contain profound differences depending on the population. Our previous study has shown that patients with COVID-19 who developed hypertriglyceridemia during hospitalization have a 2.3 times higher mortality rate. However, whether the correlation between hypertriglyceridemia and mortality has disparity among different racial and ethnic groups is unknown. In this study, we investigated the impact of race/ethnicity on the correlation between hypertriglyceridemia and mortality in hospitalized patients with COVID-19. De-identified information from 904 hospitalized patients diagnosed with COVID-19 between March 2020 and June 2021 were extracted from the Medical College of Wisconsin Clinical Data Warehouse. A multivariable regression analysis suggested that the Asians and non-White Hispanics had 4 or 3.9 times higher mortality rate, respectively, after adjusting for age, morbid obesity (BMI ≥40), and gender. The hypertriglyceridemia (≥150 mg/dL) was associated with higher mortality, after adjusting for age, gender, and morbid obesity. The baseline hypertriglyceridemia occurrence had relevantly more consistent percentages among all racial/ethnic groups. However, non-White Hispanic and Asian patients had the highest frequencies of peak hypertriglyceridemia occurrence during hospitalization. The peak hypertriglyceridemia developed during hospitalization correlates with the incidence of thrombosis after adjusting for morbid obesity, age, and sex. In summary, in this retrospective study of 904 hospitalized COVID-19 patients, Asians and non-White Hispanics had a greater likelihood of developing hypertriglyceridemia during hospitalization and mortality than White patients.

Effects of genetic ancestry and socioeconomic deprivation on ethnic differences in serum creatinine

The inclusion of ethnicity in equations for estimating the glomerular filtration rate (eGFR) from serum creatinine levels has been challenged since ethnicity is socially defined and therefore a poor proxy for biological differences. We hypothesized that genetic ancestry (GA) would be more strongly associated with creatinine levels among healthy individuals than self-identified ethnicity. We studied a diverse cohort of 35,590 participants characterized as part of the UK Biobank, grouped by self-reported ethnicity: Black, East Asian, Mixed, Other, South Asian, and White. We used multivariable modeling to test for associations between ethnicity, GA, socioeconomic deprivation, and serum creatinine levels, including covariates for age, sex, height, and body mass index. Model fit comparisons and relative importance analysis were used to compare the effects of ethnicity and GA on creatinine levels. Black ethnicity shows a positive effect on participant serum creatinine levels (β = 9.36 ± 0.38), whereas East Asian (β = -1.80 ± 0.66) and South Asian (β = -0.28 ± 0.36) ethnicity show negative effects on creatinine. Male sex (β = 17.69 ± 0.34) and height (β = 0.13 ± 0.02) also show high positive associations with creatinine levels, while socioeconomic deprivation (β = -0.04 ± 0.04) shows no significant association. African ancestry has the highest association (β = 13.81 ± 0.52) with creatinine levels. Overall, GA (9.06%) explains significantly more of the variation in creatinine levels than ethnicity (4.96%), with African ancestry (6.36%) alone explaining more of the variation than ethnicity. We found that GA explains more of the variation in serum creatinine levels than socioeconomic deprivation, suggesting the possibility that ethnic differences in creatinine are shaped by genetic rather than social factors.

Use of hospitals in the New York City Metropolitan Region, by race: how separate? How equal in resources and quality?

BACKGROUND

Although racial and ethnic minorities disproportionately use some hospitals, hospital-based racial and ethnic composition relative to geographic region and its association with quality indicators has not been systematically analyzed.

METHODS

We used four race and ethnicity categories: non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic, and Asian/Pacific Islander/Alaskan Native/American Indian (API/AIAN), as well as a combined non-NHW category, from the 2010 (latest year publicly available) Medicare Institutional Provider & Beneficiary Summary public use file for 84 hospitals in the New York City region. We assessed the relative distribution of race and ethnicity across hospitals grouped at different geographic levels (region, county, hospital referral region [HRR], or hospital service areas [HSA]) using the dissimilarity index. Hospital characteristics included quality star ratings, essential professional services and diagnostic/treatment equipment, bed size, total expenses, and patients with dual Medicare and Medicaid enrollment. We assessed Spearman's rank correlation between hospital-based racial and ethnic composition and quality/structural measures.

RESULTS

Dissimilarity Index decreases from region (range 30.3-40.1%) to county (range 13.7-23.5%), HRR (range 10.5-27.5%), and HSA (range 12.0-16.9%) levels. Hospitals with larger non-NHW patients tended to have lower hospital ratings and higher proportions of dually-enrolled patients. They were also more likely to be safety net hospitals and non-federal governmental hospitals.

CONCLUSIONS

In the NYC metropolitan region, there is considerable hospital-based racial and ethnic segregation of Medicare patients among non-NHW populations, extending previous research limited to NHB. Availability of data on racial and ethnic composition of hospitals should be made publicly available for researchers and consumers.

Ethno-racial stratification in the mortgage market: The role of co-applicants

Unequal access to homeownership is central to ethno-racial stratification. Ample research demonstrates large ethno-racial disparities that exist in access and outcomes throughout the mortgage process at both the individual and neighborhood levels. The underlying assumption in most of these studies is that the couples applying for a mortgage are ethno-racially homogenous. However, the ethno-racial stratification structure is unclear when examining interracial couples in the mortgage market. This paper draws on annual data from the Home Mortgage Disclosure Act (HMDA) from 2010 to 2017 to assess variation in ethno-racial disparities in loan outcomes associated with different ethno-racial couplings. I show that ethno-racial disparities in loan outcomes vary tremendously when factoring the ethno-racial identity of the co-applicant. Interracial couples involving a black or Latino co-applicant are more likely to experience a high-cost loan or be denied a mortgage than mono-racial white couples. The results for Asian co-applicants vary, depending on the adverse loan outcome. When comparing interracial couples to mono-racial couples, the observed lending pattern provides evidence of a tri-racial hierarchy in the mortgage market.

The Prevalence of Hardship by Race and Ethnicity in the USA, 1992-2019

Racial and ethnic inequality continues to be the subject of considerable public interest. We shed light on this issue by examining racial disparities in the prevalence of several types of hardship, such as trouble paying bills and housing problems, in the USA over the 1992-2019 period. Using data from several panels of the Survey of Income and Program Participation, we find that hardships were considerably higher-sometimes double, depending on the measure-among blacks and Hispanics than whites and Asians. Nevertheless, these disparities generally narrowed over time. We find that the decline in these disparities-as indicated by a summary hardship index-exceeded that of the official income poverty ratio. We also find that while Asians were more likely to be poor than whites, they were not more likely to experience hardship. Notably, we also see variation in the experiences of different types of hardship. Specifically, there was little decline in the racial disparity of two of the hardships that tend to be responsive to short-term fluctuations in income-bill-paying and health hardship, as well as fear of crime-but substantial declines in disparities with most other measures. Overall, our findings indicate significant racial differences in the experience of hardship, though with a narrowing of many gaps over time.

The immigrant birthweight paradox in an urban cohort: Role of immigrant enclaves and ambient air pollution

BACKGROUND

Foreign-born Black and Latina women on average have higher birthweight infants than their US-born counterparts, despite generally worse socioeconomic indicators and prenatal care access, i.e., "immigrant birthweight paradox" (IBP). Residence in immigrant enclaves and associated social-cultural and economic benefits may be drivers of IBP. Yet, enclaves have been found to have higher air pollution, a risk factor for lower birthweight.

OBJECTIVE

We investigated the association of immigrant enclaves and children's birthweight accounting for prenatal ambient air pollution exposure.

METHODS

In the Boston-based Children's HealthWatch cohort of mother-child dyads, we obtained birthweight-for-gestational-age z-scores (BWGAZ) for US-born births, 2006-2015. We developed an immigrant enclave score based on census-tract percentages of foreign-born, non-citizen, and linguistically-isolated households statewide. We estimated trimester-specific PM_2.5 concentrations and proximity to major roads based residential address at birth. We fit multivariable linear regressions of BWGAZ and examined effect modification by maternal nativity. Analyses were restricted to nonsmoking women and term births.

RESULTS

Foreign-born women had children with 0.176 (95% CI: 0.092, 0.261) higher BWGAZ than US-born women, demonstrating the IBP in our cohort. Immigrant enclave score was not associated with BWGAZ, even after adjusting for air pollution exposures. However, this association was significantly modified by maternal nativity (p_interaction = 0.014), in which immigrant enclave score was positively associated with BWGAZ for only foreign-born women (0.090, 95% CI: 0.007, 0.172). Proximity to major roads was negatively associated with BWGAZ (-0.018 per 10 m, 95% CI: -0.032, -0.003) and positively correlated with immigrant enclave scores. Trimester-specific PM_2.5 concentrations were not associated with BWGAZ.

SIGNIFICANCE

Residence in immigrant enclaves was associated with higher birthweight children for foreign-born women, supporting the role of immigrant enclaves in the IBP. Future research of the IBP should account for immigrant enclaves and assess their spatial correlation with potential environmental risk factors and protective resources.

Substance use related violent deaths among racial/ethnic groups in the United States

While prior research highlights the overlap of substance use and violent death, few examine this overlap among different racial/ethnic groups or how patterns change over time. This study examines how substance use related deaths differ by racial/ethnic groups in the United States. We use data from the National Violent Death Reporting System (NVDRS), which includes violent deaths from 43 states in the U.S., collected for the decade between 2009 and 2019 (N = 226,459). Fixed-effects multivariate models examined whether race/ethnicity was associated with substance use-related death over time, controlling for additional demographic and clinical factors. Results showed a significantly larger rate of increase over time for African American and Hispanic (any race) persons compared to White non-Hispanic persons for most types of substance use-related deaths. While current rates of substance use may show little variability between African American, Hispanic, and White non-Hispanic individuals, this research suggests that the consequences for substance use, including death, may be disproportional.

Social media and body image: Modulating effects of social identities and user characteristics

Social media use and exposure, in particular to highly visual and appearance-focused content, has shown a relationship with poorer body image with small to moderate effect sizes. The aim here was to provide an overview of the theoretical and empirical evidence of the relationships between social media use and body image may vary across individuals. Although evidence exists to support variations in these relationships across different groups, to date, data are scarce and a number of theoretically important groups have largely been overlooked. The available evidence suggests that age may be an important moderating factor of vulnerability to exposure to highly-visual social media content, with younger adolescents most likely to experience negative outcomes. In addition, women and other groups for whom appearance is strongly tied to attractiveness and self-worth may be at heightened risk. Moving forward further research should aim to focus on understanding the relationships between social media use and body image concerns among underrepresented groups, and to expand the focus of to include different aspects of social media use and more sophisticated methodological approaches.

Association of Race and Ethnicity with Pediatric Postoperative Pain Outcomes

INTRODUCTION

Inequitable variability in healthcare practice negatively affects patient outcomes. Children of color may receive different analgesic medications in the perioperative period, resulting in different outcomes.

METHODS

Medical records of children 0 to ≤ 18 years old from May 2014 to August 2019 were reviewed. The exposure was racial or ethnic groups: Asian, Black, Hispanic, Pacific Islander, and White non-Hispanic (reference).

PRIMARY OUTCOME

post-anesthesia care unit mean pain score.

SECONDARY OUTCOMES

inpatient mean pain score; opioid, antiemetic, and antipruritic administration in the post-anesthesia care unit and inpatient ward. The association of race or ethnicity with outcomes was modeled using multilevel logistic regression, adjusting for confounders and covariates.

RESULTS

Twenty-nine thousand six hundred fourteen cases are included. In the post-anesthesia care unit, Black, Hispanic, and Pacific Islander children had no significant difference in the odds of receiving opioids or having moderate-severe pain as compared to White non-Hispanic patients; Asian children had lower odds of receiving opioids and lower odds of having a moderate-severe mean pain score. In the inpatient setting, Black, Hispanic, and Pacific Islander children had no significant difference in the odds of receiving opioids or having moderate severe-pain as compared to White non-Hispanic children, but Asian children had lower odds of receiving opioids and of having a moderate-severe mean pain score.

CONCLUSIONS

Asian children had lower odds of receiving opioids and having moderate-severe pain postoperatively compared to the White non-Hispanic children. These differences may be a function of variation in patient/caregivers culture or healthcare provider care and warrant further investigation.

Racial Variation in the Association Between Domains of Depressive Symptomatology and Functional Recovery in Stroke Survivors

OBJECTIVE

The purpose of the study was to investigate the relationships between various domains of depressive symptomatology and functional recovery in Black and White stroke survivors.

METHODS

Black (n = 181) and White (n = 797) stroke survivors from the Stroke Recovery in Underserved Population database were included. Four domains of depressive symptomatology (depressed affect, positive affect, somatic symptoms, interpersonal difficulties) were measured by the Center for Epidemiologic Studies Depression Scale at discharge; functional recovery was measured by the Functional Independence Measure at discharge and 3-month follow-up. Multivariable linear regression analyses examined the relation between race and functional recovery, and the association between depressive symptomatology and functional recovery by race.

RESULTS

Three-month functional recovery was greater among White stroke survivors than Black survivors. Affective symptoms of depression predicted poorer functional recovery of White survivors; whereas somatic symptoms predicted poorer functional recovery of Black survivors.

CONCLUSIONS

Domains of depressive symptomatology were differentially associated with poorer functional recovery in Black and White stroke survivors. Psychosocial interventions aimed at alleviating depressive symptomatology have the potential to improve functional recovery in Black and White stroke survivors and should be addressed in planning rehabilitation post-stroke.

Racial and socioeconomic inequities in breast cancer screening before and during the COVID-19 pandemic: analysis of two cohorts of women 50 years +

BACKGROUND

Routine screening mammography at two-year intervals is widely recommended for the prevention and early detection of breast cancer for women who are 50 years + . Racial and other sociodemographic inequities in routine cancer screening are well-documented, but less is known about how these long-standing inequities were impacted by the disruption in health services during the COVID-19 pandemic. Early in the pandemic, cancer screening and other prevention services were suspended or delayed, and these disruptions may have had to disproportionate impact on some sociodemographic groups. We tested the hypothesis that inequities in screening mammography widened during the pandemic.

METHODS

A secondary analysis of patient data from a large state-wide, non-profit healthcare system in Washington State. Analyses were based on two mutually exclusive cohorts of women 50 years or older. The first cohort (n = 18,197) were those women screened in 2017 who would have been due for repeat screening in 2019 (prior to the pandemic's onset). The second cohort (n = 16,391) were women screened in 2018 due in 2020. Explanatory variables were obtained from patient records and included race/ethnicity, age, rural or urban residence, and insurance type. Multivariable logistic regression models estimated odds of two-year screening for each cohort separately. Combining both cohorts, interaction models were used to test for differences in inequities before and during the pandemic.

RESULTS

Significant sociodemographic differences in screening were confirmed during the pandemic, but these were similar to those that existed prior. Based on interaction models, women using Medicaid insurance and of Asian race experienced significantly steeper declines in screening than privately insured and white women (Odds ratios [95% CI] of 0.74 [0.58-0.95] and 0.76 [0.59-0.97] for Medicaid and Asian race, respectively). All other sociodemographic inequities in screening during 2020 were not significantly different from those in 2019.

CONCLUSIONS

Our findings confirm inequities for screening mammograms during the first year of the COVID-19 pandemic and provide evidence that these largely reflect the inequities in screening that were present before the pandemic. Policies and interventions to tackle long-standing inequities in use of preventive services may help ensure continuity of care for all, but especially for racial and ethnic minorities and the socioeconomically disadvantaged.

Racial and ethnic disparities of sudden unexpected infant death in large US cities: a descriptive epidemiological study

Background

Sudden unexpected infant death (SUID) accounts for ~ 3400 deaths per year in the USA, and minimal progress has been made in reducing SUID over the past two decades. SUID is the sudden death of an infant that has occurred as a result of accidental suffocation in a sleeping environment, SIDS (sudden infant death syndrome), or from an unknown cause of death. Nationally, non-Hispanic Black (NHB) infants have twice the risk of SUID compared to non-Hispanic White (NHW) infants. In Chicago, this disparity is greatly magnified. To explore whether this disparity is similarly seen in other large cities, we analyzed SUIDs by race and ethnicity for a seven-year period from the 10 most populous US cities. SUID case counts by race and ethnicity were obtained for 2011–2017 from the 10 most populous US cities based on 2010 census data. For each city, we calculated average annual SUID rates (per 1000 live births) by race and ethnicity, allowing calculation of disparity rate ratios.

Findings

Nationally, from 2011 through 2017, there were 0.891 SUIDs per 1000 live births, with a rate of 0.847 for NHWs, 1.795 for NHBs, and 0.522 for Hispanics. In most study cities, the NHB and Hispanic SUID rates were higher than the corresponding national rate. Hispanic SUID rates were higher than NHW rates in 9 of the 10 largest cities. In every study city, the NHW SUID rate was lower than the national NHW rate. In Chicago, NHB infants had a SUID rate 12.735 times that of NHW infants.

Conclusion

With few exceptions, the 10 largest US cities had higher NHB and Hispanic SUID rates, but lower NHW SUID rates, compared to the corresponding rates at the national level. Unlike the national pattern, Hispanic SUID rates were higher than NHW rates in 9 of the 10 largest cities. Prevention is currently hampered by the lack of detailed, accurate, and timely information regarding the circumstances of these tragic deaths. A national SUID surveillance system would allow greater understanding of the factors that lead to this disproportionately distributed and enduring cause of infant death.

Immigrant Status and the Social Returns to Academic Achievement in Adolescence

Social scientists have long debated whether high-achieving students of color are socially sanctioned. This discussion has rarely focused on immigrant students, who are exceptionally diverse in their educational performance and face challenges in social integration at school. This article assesses whether the effect of academic achievement on U.S. adolescents' popularity among peers varies by immigrant status. Further, we investigate whether the same pattern holds for immigrant students across racial/ethnic groups. While theoretical frameworks led us to expect that some immigrant groups would be socially punished for their school achievement, we did not find evidence for a negative effect of achievement (GPA) on popularity (number of alters nominating ego as a friend) for any group. Instead, the effect of achievement on popularity is positive but smaller among second-generation and foreign-born students than among white students from native-born families. This social penalty is observed across Black and most Hispanic immigrant subgroups, applies to some Asian immigrant subgroups, and does not apply to white immigrant students.

Disproportionate Impact of COVID-19 on Racial and Ethnic Minority Groups in the United States: a 2021 Update

The COVID-19 pandemic's disproportionate impact on people from some racial and ethnic groups in the U.S. persisted throughout 2021. Black, Latinx, and American Indian persons have been hospitalized and died at a higher rate than White persons consistently from the start of the pandemic. Early data show that hospitalization and mortality rates for Black, Latinx, and American Indian children are higher than White children in a worrying trend. The pandemic has likely worsened the gaps in wealth, employment, housing, and access to health care: the social determinants of health that caused the disparities in the first place. School closures will have a long-lasting impact on the widening achievement gaps between Black and Latinx students and White students. In the earlier vaccination phase, Black and Latinx persons were being vaccinated at a lower rate than their proportion of cases due to vaccine hesitancy, misinformation, and barriers to access. Vaccine hesitancy rates among these groups have since decreased and are now comparable to White persons. Aggregated data make it challenging to paint a picture of the actual impact of COVID-19 on Asian Americans as they are a diverse group with significant disparities. All of this highlights that we have much work to do in dismantling systemic racism, engaging communities we serve, and advancing health equity to prepare us for future pandemics and a more just healthcare system.

"Can you see my screen?" Addressing Racial and Ethnic Disparities in Telehealth

Purpose of Review

Telehealth is an innovative approach with great potential to bridge the healthcare delivery gap, especially for underserved communities. While minority populations represent a target audience that could benefit significantly from this modern solution, little of the existing literature speaks to its acceptability, accessibility, and overall effectiveness in underserved populations. Here, we review the various challenges and achievements of contemporary telehealth and explore its impact on care delivery as an alternative or adjunct to traditional healthcare delivery systems.

Recent Findings

Given the COVID-19 pandemic, there has been a rapid acceleration in telemedicine adoption. Recent studies of telemedicine utilization during the pandemic reveal stark disparities in telemedicine modality use based on race, socioeconomic status, geography, and age.

Summary

While telehealth has great potential to overcome healthcare obstacles, the digital divide stands as a challenge to equitable telehealth and telemedicine adoption. Achieving health equity in telehealth will require the mobilization of resources, financial incentives, and political will among hospital systems, insurance companies, and government officials.

Research Note: School Reopenings During the COVID-19 Pandemic and Implications for Gender and Racial Equity

In the fall of 2020, school districts across the country reopened under a variety of instructional modes. Some districts returned to in-person instruction and some operated remotely. Others reopened under hybrid models, wherein students alternated times, days, or weeks of in-person instruction. To capture this variation, we developed the Elementary School Operating Status (ESOS) database. ESOS provides data on elementary school districts' primary operating status in the first grading period of the 2020-2021 school year, covering 24 million students in more than 9,000 school districts in all states. In this research note, we introduce these data and offer two analytical examples. We show that school districts with greater representation of Black and Hispanic students were less likely to offer in-person instruction than were districts with greater representation of White students. These racial disparities remained after accounting for geographic locale and COVID-19 prevalence. We also show that the number of in-person elementary school instruction days was associated with mothers' labor force participation relative to fathers and to women without children-that is, the fewer days of instruction, the less likely that mothers were employed. ESOS is a critical data source for evaluating the mid- and long-term implications for students who experienced reduced in-person learning and for mothers who exited employment in the absence of in-person instruction and care.