Variation in racial/ethnic disparities in COVID-19 mortality by age in the United States: A cross-sectional study

Promoting Health Equity Through Effective Laboratory Stewardship Strategies

There is a close relationship between the goals of laboratory stewardship and efforts to improve health equity for vulnerable populations. Laboratory stewardship programs should evaluate their policies and interventions to ensure that they improve access to testing, test selection, and result interpretation and delivery for all populations. Specific solutions to consider are (1) to evaluate the benefits of point-of-care testing when it can decrease barriers to specimen collection, (2) to use standardized naming conventions to help providers select the best test, and (3) to partner with insurance processing departments to help reduce financial barriers for expensive testing.

Disparities in HIV incidence and mortality rates between Japanese nationals and international migrants before and during the COVID-19 pandemic: evidence from Japan's national HIV surveillance data (2018-2021)

Migrants often encounter heightened health risks during crises. We analysed the disparities in the burden of HIV between Japanese nationals and international migrants in Japan by comparing new HIV infections, AIDS cases, and HIV-related deaths between 2018-2019 (pre-COVID-19) and 2020-2021 (during the COVID-19 pandemic). Between 2018 and 2021, 4,705 new HIV infections were reported in Japan (2,813 Japanese nationals and 522 international migrants). Additionally, 1,370 AIDS cases (1,188 Japanese nationals, 182 international migrants) were recorded, representing 29.1% of the total. Comparative analysis of HIV incidence and mortality rates between Japanese nationals and international migrants indicates elevated disparities: During the COVID-19 pandemic, the HIV incidence rate among Japanese nationals decreased from 1.8 to 1.5 cases/100,000 people, while the rate among international migrants remained high at 12.8 cases/100,000 people. The AIDS incidence also increased for international migrants from 2.8 to 3.8 per 100,000 people, while Japanese nationals maintained a low at 0.5 per 100,000 people. International migrants living with HIV experienced a significantly younger age at death due to HIV-related illness (coefficient = -11.7, p < .01). The COVID-19 pandemic may have exacerbated the disparities with more international migrants living with HIV being diagnosed late and with less precise reporting. Investment in more equitable HIV care is warranted.

Post-COVID changes and disparities in cardiovascular mortality rates in the United States

Introduction

The COVID-19 pandemic disrupted healthcare delivery and increased cardiovascular morbidity and mortality. This study assesses whether cardiovascular mortality rates in the US have recovered post-pandemic and examines the equity of this recovery across different populations.

Methods

We analyzed data from the CDC WONDER database, covering US residents' mortality from 2018-2023. We focused on cardiovascular diseases, categorized by ischemic heart disease (IHD), heart failure (HF), hypertensive diseases (HTN), and cerebrovascular disease. Age-adjusted mortality rates were calculated for three periods: pre-COVID (2018-2019), during COVID (2020-2021), and post-COVID (2022-2023), stratified by demographic and geographic variables.

Results

Cardiovascular age-adjusted mortality rates increased by 5.9% during the pandemic but decreased by 3.4% post-pandemic, resulting in a net increase of 2.4% compared to pre-COVID levels. When compared to pre COVID age-adjusted mortality rates, post COVID IHD mortality age-adjusted mortality rates decreased by 5.0%, while cerebrovascular and HTN age-adjusted mortality rates increased by 5.9% and 28.5%, respectively. Men and younger populations showed higher increases in cardiovascular Age-adjusted mortality rates. Geographic disparities were notable, with significant reductions in cardiovascular mortality in the Northeast and increases in states like Arizona and Oregon.

Conclusion

The COVID-19 pandemic led to a surge in cardiovascular mortality, with partial recovery post-pandemic. Significant differences in mortality changes highlight the need for targeted healthcare interventions to address inequities across demographic and geographic groups.

Incorporating Social Determinants of Health in Infectious Disease Models: A Systematic Review of Guidelines

BACKGROUND

Infectious disease (ID) models have been the backbone of policy decisions during the COVID-19 pandemic. However, models often overlook variation in disease risk, health burden, and policy impact across social groups. Nonetheless, social determinants are becoming increasingly recognized as fundamental to the success of control strategies overall and to the mitigation of disparities.

METHODS

To underscore the importance of considering social heterogeneity in epidemiological modeling, we systematically reviewed ID modeling guidelines to identify reasons and recommendations for incorporating social determinants of health into models in relation to the conceptualization, implementation, and interpretations of models.

RESULTS

After identifying 1,372 citations, we found 19 guidelines, of which 14 directly referenced at least 1 social determinant. Age (n = 11), sex and gender (n = 5), and socioeconomic status (n = 5) were the most commonly discussed social determinants. Specific recommendations were identified to consider social determinants to 1) improve the predictive accuracy of models, 2) understand heterogeneity of disease burden and policy impact, 3) contextualize decision making, 4) address inequalities, and 5) assess implementation challenges.

CONCLUSION

This study can support modelers and policy makers in taking into account social heterogeneity, to consider the distributional impact of infectious disease outbreaks across social groups as well as to tailor approaches to improve equitable access to prevention, diagnostics, and therapeutics.

HIGHLIGHTS

Infectious disease (ID) models often overlook the role of social determinants of health (SDH) in understanding variation in disease risk, health burden, and policy impact across social groups.In this study, we systematically review ID guidelines and identify key areas to consider SDH in relation to the conceptualization, implementation, and interpretations of models.We identify specific recommendations to consider SDH to improve model accuracy, understand heterogeneity, estimate policy impact, address inequalities, and assess implementation challenges.

Health equity in COVID-19 testing among patients of a large national pharmacy chain

Background

Several social determinants of health and other structural factors drive racial and ethnic disparities in COVID-19 risk, morbidity, and mortality. Public-private collaborations with community pharmacies have been successful in expanding access to COVID-19 testing and reaching historically underserved communities. The objectives of this study were to describe individuals who sought testing for COVID-19 at a national community pharmacy chain and to understand potential racial and ethnic inequities in testing access, positivity, and infection with emerging variants of concern.

Methods

We conducted a cross-sectional study of individuals aged ≥18 who were tested for COVID-19 (SARS-CoV-2) at a Walgreens pharmacy or Walgreen-affiliated mass testing site between May 1, 2021 and February 28, 2022. Positivity was defined as the proportion of positive tests among all administered tests. A geographically balanced random subset of positive tests underwent whole genome sequencing to identify specific viral variants (alpha, delta, and omicron). Logistic regression estimated odds ratios (ORs) and 95% confidence intervals (CIs) to compare the likelihood of testing positive and testing positive with an emerging variant of concern across race and ethnicity groups.

Results

A total of 18,576,360 tests were analyzed (16.0% tests were positive for COVID-19; 59.5% of tests were from White individuals and 13.1% were from Black individuals). American Indian or Alaska Native (OR = 1.12; 95%CI = 1.10-1.13), Hispanic or Latino (1.20; 95%CI = 1.120, 1.21), and Black (1.12; 95%CI = 1.12, 1.13) individuals were more likely to test positive for COVID-19 compared to White individuals. Non-White individuals were also more likely to test positive for emerging variants of concern (e.g., Black individuals were 3.34 (95%CI = 3.14-3.56) times more likely to test positive for omicron compared to White individuals during the transition period from delta to omicron).

Discussion

Using a national database of testing data, we found racial and ethnic differences in the likelihood of testing positive for COVID-19 and testing positive for emerging viral strains. These results demonstrate the feasibility of public-private collaborations with local pharmacies and pharmacy chains to support pandemic response and reach harder to reach populations with important health services.

Cause of Death by Race and Ethnicity in Minnesota Before and During the COVID-19 Pandemic, 2019-2020

OBJECTIVES

To measure changes in cause of death dynamics in 2019 and 2020 and the relationship between the concurrent occurrence of the COVID-19 pandemic and mortality outcome by race and ethnicity.

PATIENTS AND METHODS

We used resident mortality data from the Minnesota Department of Health (MDH) to conduct a retrospective statistical analysis of deaths in Minnesota in 2019 relative to 2020 to assess changes in mortality in a pre-pandemic and pandemic period.

RESULTS

COVID-19 strongly contributed to ethnicity-related mortality disparities in Minnesota. Not only was there a greater proportion of COVID-19 decedents within Black and Hispanic populations, but their average decedent age was markedly lower relative to the White population. The Black population experienced a disproportionate increase in decedents with a 34% increase during 2020 compared to 2019.

CONCLUSIONS

This retrospective analysis of death dynamics and mortality outcomes in Minnesota from 2019 to 2020 demonstrated an increase in adverse mortality outcomes relative to the pre-pandemic period that disproportionately impacted Black and Hispanic minority populations.

Infectious disease surveillance needs for the United States: lessons from Covid-19

The COVID-19 pandemic has highlighted the need to upgrade systems for infectious disease surveillance and forecasting and modeling of the spread of infection, both of which inform evidence-based public health guidance and policies. Here, we discuss requirements for an effective surveillance system to support decision making during a pandemic, drawing on the lessons of COVID-19 in the U.S., while looking to jurisdictions in the U.S. and beyond to learn lessons about the value of specific data types. In this report, we define the range of decisions for which surveillance data are required, the data elements needed to inform these decisions and to calibrate inputs and outputs of transmission-dynamic models, and the types of data needed to inform decisions by state, territorial, local, and tribal health authorities. We define actions needed to ensure that such data will be available and consider the contribution of such efforts to improving health equity.

Understanding racial/ethnic disparities in COVID-19 mortality using a novel metric: COVID excess mortality percentage

Prior research on racial/ethnic disparities in COVID-19 mortality has often not considered to what extent they reflect COVID-19-specific factors, versus preexisting health differences. This study examines how racial/ethnic disparities in COVID-19 mortality vary with age, sex, and time period over April-December 2020 in the United States, using mortality from other natural causes as a proxy for underlying health. We study a novel measure, the COVID excess mortality percentage (CEMP), defined as the COVID-19 mortality rate divided by the non-COVID natural mortality rate, converted to a percentage, where the CEMP denominator controls (albeit imperfectly) for differences in population health. Disparities measured using CEMP deviate substantially from those in prior research. In particular, we find very high disparities (up to 12:1) in CEMP rates for Hispanics versus Whites, particularly for nonelderly men. Asians also have elevated CEMP rates versus Whites, which were obscured in prior work by lower overall Asian mortality. Native Americans and Blacks have significant disparities compared with White populations, but CEMP ratios to Whites are lower than ratios reported in other work. This is because the higher COVID-19 mortality for Blacks and Native Americans comes partly from higher general mortality risk and partly from COVID-specific risk.

Increased COVID-19 mortality among immigrants compared with US-born individuals: a cross-sectional analysis of 2020 mortality data

OBJECTIVE

Multiple studies have shown that racially minoritized groups had disproportionate COVID-19 mortality relative to non-Hispanic White individuals. However, there is little known regarding mortality by immigrant status nationally in the United States, despite being another vulnerable population.

STUDY DESIGN

This was an observational cross-sectional study using mortality vital statistics system data to calculate proportionate mortality ratios (PMRs) and mortality rates due to COVID-19 as the underlying cause.

METHODS

Rates were compared by decedents' identified race, ethnicity (Hispanic vs non-Hispanic), and immigrant (immigrants vs US born) status. Asian race was further disaggregated into "Asian Indian," "Chinese," "Filipino," "Japanese," "Korean," and "Vietnamese."

RESULTS

Of the over 3.4 million people who died in 2020, 10.4% of all deaths were attributed to COVID-19 as the underlying cause (n = 351,530). More than double (18.9%, n = 81,815) the percentage of immigrants who died of COVID-19 compared with US-born decedents (9.1%, n = 269,715). PMRs due to COVID-19 were higher among immigrants compared with US-born individuals for non-Hispanic White, non-Hispanic Black, Hispanic, and most disaggregated Asian groups. Among disaggregated Asian immigrants, age- and sex-adjusted PMR due to COVID-19 ranged from 1.58 times greater mortality among Filipino immigrants (95% confidence interval [CI]: 1.53, 1.64) to 0.77 times greater mortality among Japanese immigrants (95% CI: 0.68, 0.86). Age-adjusted mortality rates were also higher among immigrant individuals compared with US-born people.

CONCLUSIONS

Immigrant individuals experienced greater mortality due to COVID-19 compared with their US-born counterparts. As COVID-19 becomes more endemic, greater clinical and public health efforts are needed to reduce disparities in mortality among immigrants compared with their US-born counterparts.

A Research Note on Community Resilience Estimates: New U.S. Census Bureau Data With an Application to Excess Deaths From COVID-19

In this research note, we describe the results of the first validation study of the U.S. Census Bureau's new Community Resilience Estimates (CRE), which uses Census microdata to develop a tract-level vulnerability index for the United States. By employing administrative microdata to link Social Security Administration mortality records to CRE, we show that CRE quartiles provide more stable predictions of COVID-19 excess deaths than single demographic categorizations such as race or age, as well as other vulnerability measures including the U.S. Centers for Disease Control and Prevention's Social Vulnerability Index (SVI) and the Federal Emergency Management Agency's National Risk Index (NRI). We also use machine learning techniques to show that CRE provides more predictive power of COVID-19 excess deaths than standard socioeconomic predictors of vulnerability such as poverty and unemployment, as well as SVI and NRI. We find that a 10-percentage-point increase in a key CRE risk measure is associated with one additional death per neighborhood during the initial outbreak of COVID-19 in the United States. We conclude that, compared with alternative measures, CRE provides a more accurate predictor of community vulnerability to a disaster such as a pandemic.

Racism, health and pandemic: a narrative review of the relationship between black population and COVID-19 events in 2020

This study aimed to analyze how scientific publications described and interpreted findings about the relationship between the Black population and events linked to COVID-19 in 2020. Narrative review with systematic search, in which a survey was conducted on articles published in 2020 in the Scopus, Medline/PubMed, and Web of Science databases. Initially, 665 articles were found, and after reading and applying the eligible criteria, the final number of 45 articles was reached. Epidemiological, observational studies, secondary data and developed in the United States predominated. Four groupings and respective findings emerged from the synthesis of information extracted: Main events in the Black population - high number of deaths and mortality rate; Direct relationships - poor health, housing, and work conditions; Intermediate relationships - low income and anti-Black prejudice; Comprehensive relationships - structural racism and social determinants of health. The identification of racial health disparities is an important finding about the dynamics of the pandemic among the Black population. However, multicausal explanations were limited. It is necessary to mobilize critical theoretical resources from ethnic and health studies to qualify research in order to support global actions to combat the SARS-CoV-2 epidemic in this group.

Trends and disparities in deaths among young persons in the US during the COVID-19 pandemic

PURPOSE

To examine changes in death rates by demographic group and by the leading causes of death in U.S. persons 1 to 24 years of age during the COVID-19 pandemic.

METHODS

A retrospective cross-sectional study using mortality data from the National Vital Statistics System from April 2017 to March 2023. Pre-pandemic death rates were compared with death rates during the pandemic overall, by race/ethnicity, age, sex, and cause group.

RESULTS

Age-adjusted death rates in young persons 1-24 years of age increased by 14.3% during the pandemic. Injury-related causes accounted for 78.2% of the increase, driven mainly by increases in homicides and unintentional injuries related to drug overdose, firearms, and motor-vehicle traffic crashes. Non-Hispanic Black and Hispanic teens and young adults experienced the largest increases in deaths overall and across the leading causes of death.

CONCLUSIONS

During the COVID-19 pandemic, injury-related causes accounted for the majority of the increases in deaths in children and young adults, driven mainly by firearms, drug overdoses, and motor vehicle traffic crashes. Findings highlight the importance of understanding the drivers of these marked increases in injury-related mortality and the need for injury prevention efforts among children even in the context of an infectious disease pandemic.

Inequalities in healthcare use during the COVID-19 pandemic

The COVID-19 pandemic led to reductions in non-COVID related healthcare use, but little is known whether this burden is shared equally. This study investigates whether reductions in administered care disproportionately affected certain sociodemographic strata, in particular marginalised groups. Using detailed medical claims data from the Dutch universal health care system and rich full population registry data, we predict expected healthcare use based on pre-pandemic trends (2017 - Feb 2020) and compare these expectations with observed healthcare use in 2020 and 2021. Our findings reveal a 10% decline in the number of weekly treated patients in 2020 and a 3% decline in 2021 relative to prior years. These declines are unequally distributed and are more pronounced for individuals below the poverty line, females, older people, and individuals with a migrant background, particularly during the initial wave of COVID-19 hospitalisations and for middle and low urgency procedures. While reductions in non-COVID related healthcare decreased following the initial shock of the pandemic, inequalities persist throughout 2020 and 2021. Our results demonstrate that the pandemic has not only had an unequal toll in terms of the direct health burden of the pandemic, but has also had a differential impact on the use of non-COVID healthcare.

The American Heart Association Emergency Cardiovascular Care 2030 Impact Goals and Call to Action to Improve Cardiac Arrest Outcomes: A Scientific Statement From the American Heart Association

Every 10 years, the American Heart Association (AHA) Emergency Cardiovascular Care Committee establishes goals to improve survival from cardiac arrest. These goals align with broader AHA Impact Goals and support the AHA's advocacy efforts and strategic investments in research, education, clinical care, and quality improvement programs. This scientific statement focuses on 2030 AHA emergency cardiovascular care priorities, with a specific focus on bystander cardiopulmonary resuscitation, early defibrillation, and neurologically intact survival. This scientific statement also includes aspirational goals, such as establishing cardiac arrest as a reportable disease and mandating reporting of standardized outcomes from different sources; advancing recognition of and knowledge about cardiac arrest; improving dispatch system response, availability, and access to resuscitation training in multiple settings and at multiple time points; improving availability, access, and affordability of defibrillators; providing a focus on early defibrillation, in-hospital programs, and establishing champions for debriefing and review of cardiac arrest events; and expanding measures to track outcomes beyond survival. The ability to track and report data from these broader aspirational targets will potentially require expansion of existing data sets, development of new data sets, and enhanced integration of technology to collect process and outcome data, as well as partnerships of the AHA with national, state, and local organizations. The COVID-19 (coronavirus disease 2019) pandemic, disparities in COVID-19 outcomes for historically excluded racial and ethnic groups, and the longstanding disparities in cardiac arrest treatment and outcomes for Black and Hispanic or Latino populations also contributed to an explicit focus and target on equity for the AHA Emergency Cardiovascular Care 2030 Impact Goals.

Disparities in All-Cause Mortality Beyond the Acute Phase of the COVID-19 Pandemic in the US

This cross-sectional study examines all-cause mortality in the US between March 2018 and May 2023 by sex, race and ethnicity, metropolitan status, and region.

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.

Attitudes and perceptions toward the COVID-19 risk-mitigation strategies among racially and ethnically diverse older adults in the United States and Puerto Rico: a qualitative study

OBJECTIVES

There is limited qualitative research investigating how risk-mitigation strategies during the COVID-19 pandemic impacted the lives of diverse older adults, who met criteria for mild to severe generalized anxiety or depression and minor to moderate disability. This study aims to address this gap by examining how racially and ethnically diverse older adults with at least mild mental health symptoms and minor physical disability in the United States and Puerto Rico adapted to guidelines during COVID-19. It aims to inform the medical community and policymakers of potential threats to these older adults' well-being given the COVID-19 burden.

DESIGN

Based on descriptive qualitative inquiry and phenomenological perspectives, we conducted semi-structured interviews over the phone with a racially and ethnically diverse sample of older (age 60+), predominantly minoritized adults (N = 100) in four states and territories across the United States and Puerto Rico in 2021. Interviews were recorded, coded, and analyzed using a thematic analysis approach.

RESULTS

Findings centered on five themes: (1) Previous experiences with the healthcare system and cultural beliefs related to trust and distrust led to mixed attitudes toward COVID-19 risk-mitigation strategies; (2) Compliance with COVID-19 mitigation strategies ensured safety and addressed fear of illness; (3) Compliance led to isolation due to interrupted social relations; (4) Isolation and disrupted social networks negatively impacted mental health and finances, and (5) Coping strategies and embracing support reduced the effects of social isolation.

CONCLUSION

This study underscores the importance of increasing support and social connectedness during a pandemic and beyond to ensure the well-being of older adults in racially and ethnically diverse communities. It highlights the resiliency of older adults in identifying strategies to cope with negative impacts. We recommend safeguarding economic security through policy efforts toward financial safety nets during health crises and collaborative approaches with community-based organizations to mitigate social isolation.

Are Cisgender Women and Transgender and Nonbinary People Drinking More During the COVID-19 Pandemic? It Depends

PURPOSE

This narrative review of research conducted during the first 2 years of the COVID-19 pandemic examines whether alcohol use among cisgender women and transgender and nonbinary people increased during the pandemic. The overarching goal of the review is to inform intervention and prevention efforts to halt the narrowing of gender-related differences in alcohol use.

SEARCH METHODS

Eight databases (PubMed, APA PsycInfo, CINAHL, Embase, Scopus, Gender Studies Database, GenderWatch, and Web of Science) were searched for peer-reviewed literature, published between March 2020 and July 2022, that reported gender differences or findings specific to women, transgender or nonbinary people, and alcohol use during the pandemic. The search focused on studies conducted in the United States and excluded qualitative research.

SEARCH RESULTS

A total 4,132 records were identified, including 400 duplicates. Of the remaining 3,732 unique records for consideration in the review, 51 were ultimately included. Overall, most studies found increases in alcohol use as well as gender differences in alcohol use, with cisgender women experiencing the most serious consequences. The findings for transgender and nonbinary people were equivocal due to the dearth of research and because many studies aggregated across gender.

DISCUSSION AND CONCLUSIONS

Alcohol use by cisgender women seems to have increased during the pandemic; however, sizable limitations need to be considered, particularly the low number of studies on alcohol use during the pandemic that analyzed gender differences. This is of concern as gender differences in alcohol use had been narrowing before the pandemic; and this review suggests the gap has narrowed even further. Cisgender women and transgender and nonbinary people have experienced sizable stressors during the pandemic; thus, understanding the health and health behavior impacts of these stressors is critical to preventing the worsening of problematic alcohol use.

Optimizing Education to Improve COVID-19 Vaccination Rates in a Federally Qualified Health Center

INTRODUCTION

COVID-19 vaccination hesitancy is prevalent in underserved communities, and family medicine clinics can combat hesitancy with vaccine education. However, due to general misinformation, physicians hesitate to educate patients because doing so can create conflict.

METHODS

A series of resident-run, team-based quality improvement projects were conducted at a federally qualified health center every 4 months between June 2021 and May 2022. First, staff documentation of vaccine status was addressed. Second, physician and staff education about COVID-19 vaccines was completed along with motivational interview training to avoid conflict with patients. Third, patient COVID-19 vaccine education was addressed.

RESULTS

After Cycle 1, COVID-19 vaccine documentation status increased the number of patients who completed the vaccination series from 1% to 22%. Cycle 2 showed an increase in COVID-19 vaccination rate after health care team education. This reflected an increase from 35% to 76% of residents reporting that they discussed COVID-19 vaccines with unvaccinated patients after the intervention. Cycle 3 fought vaccine misinformation by educating patients. Most patients heard information about COVID-19 vaccines from friends and family (95%), social media (90%), and the news (80%). Physician confidence in providing COVID-19 vaccine education to patients increased from 2.8 (< somewhat confident) to 4.3 (moderately confident) out of 5 over 3 plan-do-study-act cycles.

DISCUSSION

Vaccination rates were tracked alongside physician surveys regarding the experience of offering the vaccine to patients. Vaccination rates steadily increased over time, and physicians became more confident in COVID-19 vaccine discussions with patients.

CONCLUSION

Primary care physicians are needed to approach public health concerns, such as vaccination completion, but ongoing education is also needed to promote confidence in health care pathways.

Pandemic Racism: Lessons on the Nature, Structures, and Trajectories of Racism During COVID-19

The COVID-19 pandemic has been one of the most acute global crises in recent history, which profoundly impacted the world across many dimensions. During this period, racism manifested in ways specifically related to the pandemic, including xenophobic sentiments, racial attacks, discriminatory policies, and disparate outcomes across racial/ethnic groups. This paper examines some of the pressing questions about pandemic racism and inequity. We review what research has revealed about the nature and manifestations of racism, the entrenchment of structural racism, and trajectories of racism during COVID-19.

COVID-19 vaccination in urban American Indian and Alaska Native children: Parental characteristics, beliefs and attitudes associated with vaccine acceptance

Background

Little is known about vaccination rates for American Indian and Alaska Native (AI/AN) parents and their children, or parental decisions in this regard. Improving vaccination rates is a serious concern due to the disproportionate incidence and morbidity of COVID-19 in AI/AN people.

Purpose

Our goal was to describe urban AI/AN parental attributes associated with COVID-19 vaccination of their children.

Methods

Survey participants (n = 572) were ≥18 years of age, had children ≥5 years of age, AI/AN, and seen at one of six urban health organizations serving primarily AI/AN people within the prior year. They were asked about gender, age, education, marital status, perceived stress, trauma history, whether they had received the COVID-19 vaccine, tested positive for COVID-19 in the past, and if their child was vaccinated. They were also asked about 16 vaccine hesitancy reasons.

Results

Parental vaccination rate was 82%, with 59% of their children vaccinated. Parents who vaccinated their children were older, had higher education, lower stress and trauma, and were more likely to be vaccinated compared to parents who did not vaccinate their children. Forty-two percent of parents indicated they would likely vaccinate their unvaccinated child in the future. Sixteen vaccine hesitancy reasons revealed four factors: distrust, inconvenience, lack of concern about the pandemic, and AI/AN concerns. Parents who had no plans to vaccinate their children had the highest vaccine distrust and lack of concern about the pandemic. Parents with greater vaccine distrust and AI/AN specific concern reported significantly greater trauma history and higher levels of education.

Conclusion

Even though vaccination rates for AI/AN parents and children are high, the consequences of COVID-19 for AI/AN people are more severe than for other US populations. Providers should use trauma-informed, trust-building and culturally competent communication when discussing choices about vaccination with AI/AN parents.

Clinical Ethics Consultation During the First COVID-19 Pandemic Surge at an Academic Medical Center: A Mixed Methods Analysis

While a significant literature has appeared discussing theoretical ethical concerns regarding COVID-19, particularly regarding resource prioritization, as well as a number of personal reflections on providing patient care during the early stages of the pandemic, systematic analysis of the actual ethical issues involving patient care during this time is limited. This single-center retrospective cohort mixed methods study of ethics consultations during the first surge of the COVID 19 pandemic in Massachusetts between March 15, 2020 through June 15, 2020 aim to fill this gap. Results indicate that there was no significant difference in the median number of monthly consultation cases during the first COVID-19 surge compared to the same period the year prior and that the characteristics of the ethics consults during the COVID-19 surge and same period the year prior were also similar. Through inductive analysis, we identified four themes related to ethics consults during the first COVID-19 surge including (1) prognostic difficulty for COVID-19 positive patients, (2) challenges related to visitor restrictions, (3) end of life scenarios, and (4) family members who were also positive for COVID-19. Cases were complex and often aligned with multiple themes. These patient case-related sources of ethical issues were managed against the backdrop of intense systemic ethical issues and a near lockdown of daily life. Healthcare ethics consultants can learn from this experience to enhance training to be ready for future disasters.

Mental health among rural Latino immigrants during the COVID-19 pandemic

The mental health of the United States' Latino population significantly deteriorated during the SARS-CoV-2 (COVID-19) pandemic, and Latino immigrants living in rural areas faced unique vulnerabilities. However, few studies have specifically examined the mental health burden and experiences of rural Latino immigrants during the COVID pandemic. To understand the mental health experiences of first- and second-generation Latinos in rural areas, we conducted semi-structured interviews with 35 Latino residents of rural California counties during July 2020-February 2021 and screened all respondents for major depression and generalized anxiety symptoms using the Patient Health Questionnaire [PHQ]-2 and Generalized Anxiety Disorder [GAD]-2 screeners. We explored the prevalence of symptoms of depression and anxiety in our sample, iteratively analyzed participants' narratives regarding the mental health impact of the pandemic, and used their mental health screener status to contextualize these narratives. Results indicated that nearly all respondents viewed mental health as a major concern, and 34% (n ​= ​12) of respondents screened positive for major depression or generalized anxiety disorder. Respondents connected their mental health concerns to experiences of financial precarity, fear of contracting COVID-19, social isolation, and the challenges of remote schooling. Additional themes emerged around problems accessing the mental health care system, the utility of pre-pandemic mental health services, and using healthy coping mechanisms to alleviate psychological problems. Respondents' narratives tended to focus on the mental health challenges facing their family members, particularly their children. Our findings suggest that mental health intervention models that engage with multiple family members, policies that support infrastructure for encouraging exercise and outdoor activity, and ensuring access to culturally and linguistically appropriate mental health care for Latino communities may be important for protecting population mental health.

COVID-19 Case, Death, and Vaccination Rate Disparities by Race and Ethnicity in Virginia

This paper tracks trends in COVID-19 case, death, and vaccination rate disparities by race and ethnicity in Virginia during the COVID-19 pandemic. COVID-19 case, death, and vaccination rates were obtained from electronic state health department records from March 2020 to February 2022. Rate ratios were then utilized to quantify racial and ethnic disparities for several time periods during the pandemic. The Hispanic population had the highest COVID-19 case and age-adjusted death rates, and the lowest vaccination rates at the beginning of the pandemic in Virginia. These disparities resolved later in the pandemic. COVID-19 case and death rates among the Black population were also higher than those of the White population and these disparities remained throughout the pandemic. Racial and ethnic disparities changed over time in Virginia as vaccination coverage and public health policies evolved. Year 2 of the analysis saw lower case and death rates, and higher vaccination rates for non-White populations in Virginia. Public health strategies need to be addressed during the pandemic and developed before the next pandemic to ensure that large racial and ethnic disparities are not again present at the outset.

Severe mental illness, race/ethnicity, multimorbidity and mortality following COVID-19 infection: nationally representative cohort study

BACKGROUND

The association of COVID-19 with death in people with severe mental illness (SMI), and associations with multimorbidity and ethnicity, are unclear.

AIMS

To determine all-cause mortality in people with SMI following COVID-19 infection, and assess whether excess mortality is affected by multimorbidity or ethnicity.

METHOD

This was a retrospective cohort study using primary care data from the Clinical Practice Research Database, from February 2020 to April 2021. Cox proportional hazards regression was used to estimate the effect of SMI on all-cause mortality during the first two waves of the COVID-19 pandemic.

RESULTS

Among 7146 people with SMI (56% female), there was a higher prevalence of multimorbidity compared with the non-SMI control group (n = 653 024, 55% female). Following COVID-19 infection, the SMI group experienced a greater risk of death compared with controls (adjusted hazard ratio (aHR) 1.53, 95% CI 1.39-1.68). Black Caribbean/Black African people were more likely to die from COVID-19 compared with White people (aHR = 1.22, 95% CI 1.12-1.34), with similar associations in the SMI group and non-SMI group (P for interaction = 0.73). Following infection with COVID-19, for every additional multimorbidity condition, the aHR for death was 1.06 (95% CI 1.01-1.10) in the SMI stratum and 1.16 (95% CI 1.15-1.17) in the non-SMI stratum (P for interaction = 0.001).

CONCLUSIONS

Following COVID-19 infection, patients with SMI were at an elevated risk of death, further magnified by multimorbidity. Black Caribbean/Black African people had a higher risk of death from COVID-19 than White people, and this inequity was similar for the SMI group and the control group.

Delivery outcomes in a cohort of pregnant patients with COVID-19 with and without viral pneumonia

BACKGROUND

Among pregnant people, COVID-19 can lead to adverse outcomes, but the specific pregnancy outcomes that are affected by the disease are unclear. In addition, the effect of the severity of COVID-19 on pregnancy outcomes has not been clearly identified.

OBJECTIVE

This study aimed to evaluate the associations between COVID-19 with and without viral pneumonia and cesarean delivery, preterm delivery, preeclampsia, and stillbirth.

STUDY DESIGN

We conducted a retrospective cohort study (April 2020-May 2021) of deliveries between 20 and 42 weeks of gestation from US hospitals in the Premier Healthcare Database. The primary outcomes were cesarean delivery, preterm delivery, preeclampsia, and stillbirth. We used a viral pneumonia diagnosis (International Classification of Diseases -Tenth-Clinical Modification codes J12.8 and J12.9) to categorize patients by severity of COVID-19. Pregnancies were categorized into 3 groups: NOCOVID (no COVID-19), COVID (COVID-19 without viral pneumonia), and PNA (COVID-19 with viral pneumonia). Groups were balanced for risk factors by propensity-score matching.

RESULTS

A total of 814,649 deliveries from 853 US hospitals were included (NOCOVID: n=799,132; COVID: n=14,744; PNA: n=773). After propensity-score matching, the risks of cesarean delivery and preeclampsia were similar in the COVID group compared with the NOCOVID group (matched risk ratio, 0.97; 95% confidence interval, 0.94-1.00; and matched risk ratio, 1.02; 95% confidence interval, 0.96-1.07; respectively). The risks of preterm delivery and stillbirth were greater in the COVID group than in the NOCOVID group (matched risk ratio, 1.11; 95% confidence interval, 1.05-1.19; and matched risk ratio, 1.30; 95% confidence interval, 1.01-1.66; respectively). The risks of cesarean delivery, preeclampsia, and preterm delivery were higher in the PNA group than in the COVID group (matched risk ratio, 1.76; 95% confidence interval, 1.53-2.03; matched risk ratio, 1.37; 95% confidence interval, 1.08-1.74; and matched risk ratio, 3.33; 95% confidence interval, 2.56-4.33; respectively). The risk of stillbirth was similar in the PNA and COVID group (matched risk ratio, 1.17; 95% confidence interval, 0.40-3.44).

CONCLUSION

Within a large national cohort of hospitalized pregnant people, we found that the risk of some adverse delivery outcomes was elevated in people with COVID-19 with and without viral pneumonia, with much higher risks in the group with viral pneumonia.

Association between Racial Residential Segregation and COVID-19 Mortality

This study investigates the impact of racial residential segregation on COVID-19 mortality during the first year of the US epidemic. Data comes from the Center for Disease Control and Prevention (CDC), and the Robert Wood Johnson Foundation's and the University of Wisconsin's joint county health rankings project. The observation includes a record of 8,670,781 individuals in 1488 counties. We regressed COVID-19 deaths, using hierarchical logistic regression models, on individual and county-level predictors. We found that as racial residential segregation increased, mortality rates increased. Controlling for segregation, Blacks and Asians had a greater risk of mortality, while Hispanics and other racial groups had a lower risk of mortality, compared to Whites. The impact of racial residential segregation on COVID-19 mortality did not vary by racial group.

An Equity Response to COVID-19 in Allegheny County, Pennsylvania: The Development and Work of the Black Equity Coalition

From the onset of the pandemic in the United States, racial disparities in COVID-19 outcomes have been evident. In April 2020, several events prompted a concerned group of colleagues to form the Black Equity Coalition (BEC), a Black-led coalition in Allegheny County, Pennsylvania, which brings together professionals from multiple sectors who aim to ensure an equitable response to the COVID-19 pandemic. Several significant milestones have been achieved, and this article describes the development, functioning, and outcomes of the Coalition in the first 15 months of operation (April 2020-June 2021). COVID-19 was the reason for such an unprecedented effort, but this BEC infrastructure will be needed long after COVID-19 is controlled. In addition to short-term activities and reactive measures to prevent and mitigate COVID-19 in Black populations, the BEC is serving as a crucial link between government, health care stakeholders, and communities to produce long-term systemic change.

Retrospective analysis of equity-based optimization for COVID-19 vaccine allocation

Marginalized racial and ethnic groups in the United States were disproportionally affected by the COVID-19 pandemic. To study these disparities, we construct an age-and-race-stratified mathematical model of SARS-CoV-2 transmission fitted to age-and-race-stratified data from 2020 in Oregon and analyze counterfactual vaccination strategies in early 2021. We consider two racial groups: non-Hispanic White persons and persons belonging to BIPOC groups (including non-Hispanic Black persons, non-Hispanic Asian persons, non-Hispanic American-Indian or Alaska-Native persons, and Hispanic or Latino persons). We allocate a limited amount of vaccine to minimize overall disease burden (deaths or years of life lost), inequity in disease outcomes between racial groups (measured with five different metrics), or both. We find that, when allocating small amounts of vaccine (10% coverage), there is a trade-off between minimizing disease burden and minimizing inequity. Older age groups, who are at a greater risk of severe disease and death, are prioritized when minimizing measures of disease burden, and younger BIPOC groups, who face the most inequities, are prioritized when minimizing measures of inequity. The allocation strategies that minimize combinations of measures can produce middle-ground solutions that similarly improve both disease burden and inequity, but the trade-off can only be mitigated by increasing the vaccine supply. With enough resources to vaccinate 20% of the population the trade-off lessens, and with 30% coverage, we can optimize both equity and mortality. Our goal is to provide a race-conscious framework to quantify and minimize inequity that can be used for future pandemics and other public health interventions.

Ethnicity, Coronavirus Disease-Related Stress, and E-cigarette Use and Cigarette Smoking Among Young Adults: A Longitudinal Study

INTRODUCTION

Research has rarely examined ethnic differences in exposure to coronavirus disease (COVID)-related stress in relation to smoking and e-cigarette use.

AIMS AND METHODS

Using pre- and post-COVID data from a sample of predominantly Asian American (AA) and Native Hawaiian and Pacific Islander (NHPI) young adults, this study aimed to test the effects of ethnicity on cigarette smoking and e-cigarette use through exposure to COVID-related stress. Young adults from Hawaii who provided pre-COVID data in or before January 2020 were followed up with in March-May 2021. N = 1907 (mean age = 24.9 [SD = 2.9], 56% women) provided complete data relevant to the current analysis at both waves of data collection. Structural equation modeling was used to test the effects of ethnicity (white, Asian [eg, Japanese, Chinese], Filipino, NHPI, and other) on pre- to post-COVID changes in cigarette and e-cigarette use via effects on COVID-related stress.

RESULTS

Relative to Asian young adults, members of all other ethnic groups (NHPI, Filipino, white, and other) indicated greater exposure to COVID-related stress. Higher levels of COVID-related stress were associated with increased dual-use status and increased current e-cigarette and cigarette use frequencies. Higher COVID-related stress mediated the effects of NHPI, Filipino, and other ethnicity on increased dual-use status.

CONCLUSIONS

The current data indicate that young adults of vulnerable ethnic groups who experience higher COVID-related stress are at increased risk for dual use of cigarettes and e-cigarettes.

IMPLICATIONS

The findings imply that tobacco use prevention and treatment efforts may need to pay increased attention to racial or ethnic groups that have experienced greater adverse impact of the COVID-19 pandemic.

Better data for decision-making through Bayesian imputation of suppressed provisional COVID-19 death counts

PURPOSE

To facilitate use of timely, granular, and publicly available data on COVID-19 mortality, we provide a method for imputing suppressed COVID-19 death counts in the National Center for Health Statistic's 2020 provisional mortality data by quarter, county, and age.

METHODS

We used a Bayesian approach to impute suppressed COVID-19 death counts by quarter, county, and age in provisional data for 3,138 US counties. Our model accounts for multilevel data structures; numerous zero death counts among persons aged <50 years, rural counties, early quarters in 2020; highly right-skewed distributions; and different levels of data granularity (county, state or locality, and national levels). We compared three models with different prior assumptions of suppressed COVID-19 deaths, including noninformative priors (M1), the same weakly informative priors for all age groups (M2), and weakly informative priors that differ by age (M3) to impute the suppressed death counts. After the imputed suppressed counts were available, we assessed three prior assumptions at the national, state/locality, and county level, respectively. Finally, we compared US counties by two types of COVID-19 death rates, crude (CDR) and age-standardized death rates (ASDR), which can be estimated only through imputing suppressed death counts.

RESULTS

Without imputation, the total COVID-19 death counts estimated from the raw data underestimated the reported national COVID-19 deaths by 18.60%. Using imputed data, we overestimated the national COVID-19 deaths by 3.57% (95% CI: 3.37%-3.80%) in model M1, 2.23% (95% CI: 2.04%-2.43%) in model M2, and 2.96% (95% CI: 2.76%-3.16%) in model M3 compared with the national report. The top 20 counties that were most affected by COVID-19 mortality were different between CDR and ASDR.

CONCLUSIONS

Bayesian imputation of suppressed county-level, age-specific COVID-19 deaths in US provisional data can improve county ASDR estimates and aid public health officials in identifying disparities in deaths from COVID-19.

COVID-19 and All-Cause Mortality by Race, Ethnicity, and Age Across Five Periods of the Pandemic in the United States

Racial/ethnic and age disparities in COVID-19 and all-cause mortality during 2020 are well documented, but less is known about their evolution over time. We examine changes in age-specific mortality across five pandemic periods in the United States from March 2020 to December 2022 among four racial/ethnic groups (non-Hispanic White, non-Hispanic Black, Hispanic, and non-Hispanic Asian) for ages 35+. We fit Gompertz models to all-cause and COVID-19 death rates by 5-year age groups and construct age-specific racial/ethnic mortality ratios across an Initial peak (Mar-Aug 2020), Winter peak (Nov 2020-Feb 2021), Delta peak (Aug-Oct 2021), Omicron peak (Nov 2021-Feb 2022), and Endemic period (Mar-Dec 2022). We then compare to all-cause patterns observed in 2019. The steep age gradients in COVID-19 mortality in the Initial and Winter peak shifted during the Delta peak, with substantial increases in mortality at working ages, before gradually returning to an older age pattern in the subsequent periods. We find a disproportionate COVID-19 mortality burden on racial and ethnic minority populations early in the pandemic, which led to an increase in all-cause mortality disparities and a temporary elimination of the Hispanic mortality advantage at certain age groups. Mortality disparities narrowed over time, with racial/ethnic all-cause inequalities during the Endemic period generally returning to pre-pandemic levels. Black and Hispanic populations, however, faced a younger age gradient in all-cause mortality in the Endemic period relative to 2019, with younger Hispanic and Black adults in a slightly disadvantageous position and older Black adults in a slightly advantageous position, relative to before the pandemic.

Intersectional Stigma as a Fundamental Cause of Health Disparities: A case study of how drug use stigma intersecting with racism and xenophobia creates health inequities for Black and Hispanic persons who use drugs over time

Recent evidence points to racial and ethnic disparities in drug-related deaths and health conditions. Informed by stigma, intersectionality, intersectional stigma, and fundamental cause theories, we aimed to explore whether intersectional stigma was a fundamental cause of health. We document key events and policies over time and find that when progress is made new mechanisms emerge that negatively affect health outcomes for Black and Hispanic persons. We then focus on intersectional stigma targeting Black and Hispanic persons who use drugs. We document that when a person, or group of people, occupy multiple stigmatized identities the processes of stigmatization and scapegoating are particularly persistent and pernicious since people and groups can be stigmatized and scapegoated on varying intersections. We propose that an intersectional stigma framework allows for a better understanding of observed patterns over time, thereby providing a better guide for policies and interventions designed to reduce disparities. As a framework, intersectional stigma aims to recognize that when different sources of stigma collide, a new set of circumstances is created for those who reside in the intersection. We conclude that intersectional stigma is a fundamental cause of health inequities and provide policy recommendations aimed at dismantling intersectional stigma processes and mitigating the effects of intersectional stigmas to ultimately promote better health outcomes for Black and Hispanic persons who use drugs.

Predictors of pulmonary embolism in hospitalized patients with COVID-19

BACKGROUND

High venous thromboembolism (VTE) rates have been described in critically ill patients with COVID-19. We hypothesized that specific clinical characteristics may help differentiate hypoxic COVID-19 patients with and without a diagnosed pulmonary embolism (PE).

METHODS

We performed a retrospective observational case-control study of 158 consecutive patients hospitalized in one of four Mount Sinai Hospitals with COVID-19 between March 1 and May 8, 2020, who received a Chest CT Pulmonary Angiogram (CTA) to diagnose a PE. We analyzed demographic, clinical, laboratory, radiological, treatment characteristics, and outcomes in COVID-19 patients with and without PE.

RESULTS

92 patients were negative (CTA-), and 66 patients were positive for PE (CTA+). CTA + had a longer time from symptom onset to admission (7 days vs. 4 days, p = 0.05), higher admission biomarkers, notably D-dimer (6.87 vs. 1.59, p < 0.0001), troponin (0.015 vs. 0.01, p = 0.01), and peak D-dimer (9.26 vs. 3.8, p = 0.0008). Predictors of PE included time from symptom onset to admission (OR = 1.11, 95% CI 1.03-1.20, p = 0.008), and PESI score at the time of CTA (OR = 1.02, 95% CI 1.01-1.04, p = 0.008). Predictors of mortality included age (HR 1.13, 95% CI 1.04-1.22, p = 0.006), chronic anticoagulation (13.81, 95% CI 1.24-154, p = 0.03), and admission ferritin (1.001, 95% CI 1-1.001, p = 0.01).

CONCLUSIONS

In 158 hospitalized COVID-19 patients with respiratory failure evaluated for suspected PE, 40.8% patients had a positive CTA. We identified clinical predictors of PE and mortality from PE, which may help with early identification and reduction of PE-related mortality in patients with COVID-19.

The shared ethical framework to allocate scarce medical resources: a lesson from COVID-19

The COVID-19 pandemic has helped to clarify the fair and equitable allocation of scarce medical resources, both within and among countries. The ethical allocation of such resources entails a three-step process: (1) elucidating the fundamental ethical values for allocation, (2) using these values to delineate priority tiers for scarce resources, and (3) implementing the prioritisation to faithfully realise the fundamental values. Myriad reports and assessments have elucidated five core substantive values for ethical allocation: maximising benefits and minimising harms, mitigating unfair disadvantage, equal moral concern, reciprocity, and instrumental value. These values are universal. None of the values are sufficient alone, and their relative weight and application will vary by context. In addition, there are procedural principles such as transparency, engagement, and evidence-responsiveness. Prioritising instrumental value and minimising harms during the COVID-19 pandemic led to widespread agreement on priority tiers to include health-care workers, first responders, people living in congregate housing, and people with an increased risk of death, such as older adults and individuals with medical conditions. However, the pandemic also revealed problems with the implementation of these values and priority tiers, such as allocation on the basis of population rather than COVID-19 burden, and passive allocation that exacerbated disparities by requiring recipients to spend time booking and travelling to appointments. This ethical framework should be the starting point for the allocation of scarce medical resources in future pandemics and other public health conditions. For instance, allocation of the new malaria vaccine among sub-Saharan African countries should be based not on reciprocity to countries that participated in research, but on maximally reducing serious illness and deaths, especially among infants and children.

State Variation in Neighborhood COVID-19 Burden: Findings from the COVID Neighborhood Project

A lack of fine, spatially-resolute case data for the U.S. has prevented the examination of how COVID-19 burden has been distributed across neighborhoods, a known geographic unit of both risk and resilience, and is hampering efforts to identify and mitigate the long-term fallout from COVID-19 in vulnerable communities. Using spatially-referenced data from 21 states at the ZIP code or census tract level, we documented how the distribution of COVID-19 at the neighborhood-level varies significantly within and between states. The median case count per neighborhood (IQR) in Oregon was 3,608 (2,487) per 100,000 population, indicating a more homogenous distribution of COVID-19 burden, whereas in Vermont the median case count per neighborhood (IQR) was 8,142 (11,031) per 100,000. We also found that the association between features of the neighborhood social environment and burden varied in magnitude and direction by state. Our findings underscore the importance of local contexts when addressing the long-term social and economic fallout communities will face from COVID-19.

Retrospective Analysis of Equity-Based Optimization for COVID-19 Vaccine Allocation

Marginalized racial and ethnic groups in the United States were disproportionally affected by the COVID-19 pandemic. To study these disparities, we construct an age-and-race-stratified mathematical model of SARS-CoV-2 transmission fitted to age-and-race-stratified data from 2020 in Oregon and analyze counter-factual vaccination strategies in early 2021. We consider two racial groups: non-Hispanic White persons and persons belonging to BIPOC groups (including non-Hispanic Black persons, non-Hispanic Asian persons, non-Hispanic American Indian or Alaska Native persons, and Hispanic or Latino persons). We allocate a limited amount of vaccine to minimize overall disease burden (deaths or years of life lost), inequity in disease outcomes between racial groups (measured with five different metrics), or both. We find that, when allocating small amounts of vaccine (10% coverage), there is a trade-off between minimizing disease burden and minimizing inequity. Older age groups, who are at a greater risk of severe disease and death, are prioritized when minimizing measures of disease burden, and younger BIPOC groups, who face the most inequities, are prioritized when minimizing measures of inequity. The allocation strategies that minimize combinations of measures can produce middle-ground solutions that similarly improve both disease burden and inequity, but the trade-off can only be mitigated by increasing the vaccine supply. With enough resources to vaccinate 20% of the population the trade-off lessens, and with 30% coverage, we can optimize both equity and mortality. Our goal is to provide a race-conscious framework to quantify and minimize inequity that can be used for future pandemics and other public health interventions.

The depth of stories: How Black young adults' disclosure of high arousal negative affect in narratives about the COVID-19 pandemic and the BLM protests improved adjustment over the year 2020

The present study investigates whether the way Black young adults constructed their narratives regarding the stressful events of the COVID-19 pandemic and the black lives matter (BLM) protests related to adjustment over time. A two-wave mixed prospective and retrospective longitudinal study was conducted in July and December 2020 and included a total of 90 Black young adults. Narrative reports were collected at baseline to determine the psychological interpretations of the two events and were coded based on affect disclosure. Both time points examined adjustment to the COVID-19 pandemic and the BLM protests as well as the extent to which the basic psychological needs for autonomy, relatedness, and competence were affected. Our results showed that disclosure of high arousal negative affect in narratives at baseline was associated with better adjustment over time. Additionally, results of process analyses showed that satisfaction of the basic psychological need for autonomy (e.g., feelings of personal agency, choice, and volition) mediated the association between narratives and adjustment. These results suggest that engaging in disclosure of high arousal negative affect may be associated with heightening adjustment because it enhances individuals' autonomy, perhaps resulting in a beneficial integration of the events into their broader life narratives. These findings highlight the potential of well-constructed narratives to impact adjustment over time and have implications for clinical practice to support Racialized communities during unprecedented events.

COVID-19 Mortality by Race and Ethnicity in US Metropolitan and Nonmetropolitan Areas, March 2020 to February 2022

Importance

Prior research has established that Hispanic and non-Hispanic Black residents in the US experienced substantially higher COVID-19 mortality rates in 2020 than non-Hispanic White residents owing to structural racism. In 2021, these disparities decreased.

Objective

To assess to what extent national decreases in racial and ethnic disparities in COVID-19 mortality between the initial pandemic wave and subsequent Omicron wave reflect reductions in mortality vs other factors, such as the pandemic's changing geography.

Design, Setting, and Participants

This cross-sectional study was conducted using data from the US Centers for Disease Control and Prevention for COVID-19 deaths from March 1, 2020, through February 28, 2022, among adults aged 25 years and older residing in the US. Deaths were examined by race and ethnicity across metropolitan and nonmetropolitan areas, and the national decrease in racial and ethnic disparities between initial and Omicron waves was decomposed. Data were analyzed from June 2021 through March 2023.

Exposures

Metropolitan vs nonmetropolitan areas and race and ethnicity.

Main Outcomes and Measures

Age-standardized death rates.

Results

There were death certificates for 977 018 US adults aged 25 years and older (mean [SD] age, 73.6 [14.6] years; 435 943 female [44.6%]; 156 948 Hispanic [16.1%], 140 513 non-Hispanic Black [14.4%], and 629 578 non-Hispanic White [64.4%]) that included a mention of COVID-19. The proportion of COVID-19 deaths among adults residing in nonmetropolitan areas increased from 5944 of 110 526 deaths (5.4%) during the initial wave to a peak of 40 360 of 172 515 deaths (23.4%) during the Delta wave; the proportion was 45 183 of 210 554 deaths (21.5%) during the Omicron wave. The national disparity in age-standardized COVID-19 death rates per 100 000 person-years for non-Hispanic Black compared with non-Hispanic White adults decreased from 339 to 45 deaths from the initial to Omicron wave, or by 293 deaths. After standardizing for age and racial and ethnic differences by metropolitan vs nonmetropolitan residence, increases in death rates among non-Hispanic White adults explained 120 deaths/100 000 person-years of the decrease (40.7%); 58 deaths/100 000 person-years in the decrease (19.6%) were explained by shifts in mortality to nonmetropolitan areas, where a disproportionate share of non-Hispanic White adults reside. The remaining 116 deaths/100 000 person-years in the decrease (39.6%) were explained by decreases in death rates in non-Hispanic Black adults.

Conclusions and Relevance

This study found that most of the national decrease in racial and ethnic disparities in COVID-19 mortality between the initial and Omicron waves was explained by increased mortality among non-Hispanic White adults and changes in the geographic spread of the pandemic. These findings suggest that despite media reports of a decline in disparities, there is a continued need to prioritize racial health equity in the pandemic response.

COVID-19 stressors for Hispanic/Latino patients living with type 2 diabetes: a qualitative study

Background and aim

During the early stages of the COVID-19 pandemic, nationwide lockdowns caused disruption in the diets, physical activities, and lifestyles of patients with type 2 diabetes. Previous reports on the possible association between race/ethnicity, COVID-19, and mortality have shown that Hispanic/Latino patients with type 2 diabetes who are socioeconomically disadvantaged are disproportionately affected by this novel virus. The aim of this study was to explore stressors associated with changes in diabetes self-management behaviors. Our goal was to highlight the health disparities in these vulnerable racial/ethnic minority communities and underscore the need for effective interventions.

Methods and participants

Participants were enrolled in part of a larger randomized controlled trial to compare diabetes telehealth management (DTM) with comprehensive outpatient management (COM) in terms of critical patient-centered outcomes among Hispanic/Latino patients with type 2 diabetes. We conducted a thematic analysis using patient notes collected from two research nurses between March 2020 and March 2021. Two authors read through the transcripts independently to identify overarching themes. Once the themes had been identified, both authors convened to compare themes and ensure that similar themes were identified within the transcripts. Any discrepancies were discussed by the larger study team until a consensus was reached.

Results

Six themes emerged, each of which can be categorized as either a source or an outcome of stress. Sources of stress associated with the COVID-19 pandemic were (1) fear of contracting COVID-19, (2) disruptions from lockdowns, and (3) financial stressors (e.g., loss of income). Outcomes of COVID-19 stressors were (1) reduced diabetes management (e.g., reduced diabetes monitoring and physical activity), (2) suboptimal mental health outcomes (e.g., anxiety and depression), and (3) outcomes of financial stressors.

Conclusion

The findings indicated that underserved Hispanic/Latino patients with type 2 diabetes encountered a number of stressors that led to the deterioration of diabetes self-management behaviors during the pandemic.

Inequitable access to general and behavioral healthcare in the US during the COVID-19 pandemic: A role for telehealth?

Wide-ranging effects of the COVID-19 pandemic have led to increased psychological distress and alcohol consumption, and disproportionate hardship for disadvantaged groups. Early in the pandemic, telehealth services were expanded to maintain healthcare access amidst lockdowns, medical office closures, and fear of infection. This study examines general and behavioral healthcare access and disparities during the first year of the pandemic. Data are from the 2019-2020 US National Alcohol Survey (collected February 2019 to April 2020) and its COVID follow-up survey conducted January 30 to March 28, 2021 (N = 1819). General and behavioral healthcare-related outcomes were assessed at follow-up, and included perceived need for and receipt of care, delayed care, and use of telehealth since April 1, 2020. Results indicate that the majority of respondents with perceived need for healthcare received some behavioral healthcare (reported by 63%) and particularly general healthcare (88%), but nearly half (48%) delayed needed care. Delays were mostly due to COVID-related reasons, but cost barriers also were common and significantly impeded care-seeking by uninsured persons, young adults, rural residents, and persons whose employment was reduced by the pandemic. Disparities in the receipt of healthcare were pronounced for Hispanic/Latinx (vs. White) and lower-income (vs. higher-income) groups (AORs <0.37, p's < 0.05). Notably, telehealth was commonly used by Hispanic/Latinx and lower-income groups for general and particularly behavioral healthcare. Results suggest that telehealth has provided an important bridge to healthcare for certain medically underserved groups during the pandemic, and may be vital to future efforts to increase equity in healthcare access.

Profiles of US Hispanics Unvaccinated for COVID-19

BACKGROUND

The COVID-19 pandemic has disproportionately impacted Hispanics in the USA with increased rates of SARS-CoV-2 infections, hospitalizations, and deaths. The objective of this report was to characterize the demographics and beliefs of unvaccinated Hispanics to help address their concerns that lead to vaccine hesitancy.

METHODS

Of 1,011 potential participants from a national online panel, 22.3% (N = 225, 51.6% female, age = 40.5) met inclusion criteria of Hispanic adults and not receiving at least one dose of the COVID-19 vaccine. The 30-item survey included items about demographics, political affiliations, sources of news (e.g., Fox vs. CNN), reasons for being unvaccinated, and ratings (0 = strongly disagree, 100 = strongly agree) of 10 controversial statements regarding COVID-19.

RESULTS

Over three-fifths (62.6%) identified side effects and safety concerns, while almost one-third (30.5%) cited a lack of efficacy as their top reasons for being unvaccinated. Agreement to "The developers of the COVID-19 vaccine rushed the development and cut corners" was rated the highest (63.22) which was significantly (p < .001) higher than the other nine statements (e.g., "The COVID-19 vaccine does not work"). Many vaccine attitudes differed significantly by political party affiliation and some by gender and news source. Republicans (59.9 ± 4.2) scored higher than Democrats (38.5 ± 4.2, p ≤ .001) to "If I've already had COVID-19, I don't need the vaccine."

CONCLUSIONS

This study identified the heterogeneity in COVID-19 vaccine attitudes among Hispanics. Further research is needed to determine if the subgroups identified are differentially receptive to interventions to facilitate reconsideration of prior vaccination decisions.

Cause of Death by Race and Ethnicity in Minnesota Before and During the COVID-19 Pandemic, 2019-2020

Objectives

To measure changes in cause of death dynamics in 2019 and 2020 and the relationship between concurrent occurrence of the COVID-19 pandemic and mortality outcome by race and ethnicity.

Patients and Methods

We used resident mortality data from the Minnesota Department of Health (MDH) to conduct retrospective statistical analysis of deaths in Minnesota in 2019 relative to 2020 to assess changes in mortality in a pre-pandemic and pandemic period.

Results

COVID-19 strongly contributed to ethnicity-related mortality disparities in Minnesota. Not only was there a greater proportion of COVID-19 decedents within the Black and Hispanic populations, but their average decedent age was markedly lower relative to the White population. The Black population experienced a disproportionate increase in decedents with a 34% increase during 2020 compared to 2019.

Conclusions

This retrospective analysis of death dynamics and mortality outcomes in Minnesota from 2019 to 2020 demonstrated an increase in adverse mortality outcomes relative to the pre-pandemic period that disproportionately impacted Black and Hispanic minority populations. Access to non-pharmaceutical interventions combating COVID-19 infection in Black and Hispanic communities should be expanded in Minnesota.

Ethnic inequalities in COVID-19 infection, hospitalisation, intensive care admission, and death: a global systematic review and meta-analysis of over 200 million study participants

Background

COVID-19 has exacerbated existing ethnic inequalities in health. Little is known about whether inequalities in severe disease and deaths, observed globally among minoritised ethnic groups, relates to greater infection risk, poorer prognosis, or both. We analysed global data on COVID-19 clinical outcomes examining inequalities between people from minoritised ethnic groups compared to the ethnic majority group.

Methods

Databases (MEDLINE, EMBASE, EMCARE, CINAHL, Cochrane Library) were searched from 1st December 2019 to 3rd October 2022, for studies reporting original clinical data for COVID-19 outcomes disaggregated by ethnicity: infection, hospitalisation, intensive care unit (ICU) admission, and mortality. We assessed inequalities in incidence and prognosis using random-effects meta-analyses, with Grading of Recommendations Assessment, Development, and Evaluation (GRADE) use to assess certainty of findings. Meta-regressions explored the impact of region and time-frame (vaccine roll-out) on heterogeneity. PROSPERO: CRD42021284981.

Findings

77 studies comprising over 200,000,000 participants were included. Compared with White majority populations, we observed an increased risk of testing positive for infection for people from Black (adjusted Risk Ratio [aRR]:1.78, 95% CI:1.59-1.99, I2 = 99.1), South Asian (aRR:3.00, 95% CI:1.59-5.66, I2 = 99.1), Mixed (aRR:1.64, 95% CI:1.02-1.67, I2 = 93.2) and Other ethnic groups (aRR:1.36, 95% CI:1.01-1.82, I2 = 85.6). Black, Hispanic, and South Asian people were more likely to be seropositive. Among population-based studies, Black and Hispanic ethnic groups and Indigenous peoples had an increased risk of hospitalisation; Black, Hispanic, South Asian, East Asian and Mixed ethnic groups and Indigenous peoples had an increased risk of ICU admission. Mortality risk was increased for Hispanic, Mixed, and Indigenous groups. Smaller differences were seen for prognosis following infection. Following hospitalisation, South Asian, East Asian, Black and Mixed ethnic groups had an increased risk of ICU admission, and mortality risk was greater in Mixed ethnic groups. Certainty of evidence ranged from very low to moderate.

Interpretation

Our study suggests that systematic ethnic inequalities in COVID-19 health outcomes exist, with large differences in exposure risk and some differences in prognosis following hospitalisation. Response and recovery interventions must focus on tackling drivers of ethnic inequalities which increase exposure risk and vulnerabilities to severe disease, including structural racism and racial discrimination.

Funding

ESRC:ES/W000849/1.

Resources availability and COVID-19 mortality among US counties

The COVID-19 was declared a pandemic by WHO on 03/2020 has claimed millions of lives worldwide. The US leads all countries in COVID-19-related deaths. Individual level (preexisting conditions and demographics) and county-level (availability of resources) factors have been attributed to increased risk of COVID-19-related deaths. This study builds on previous studies to assess the relationship between county-level resources and COVID-19 mortality among 2,438 US counties. We merged 2019 data from AHA, AHRF, and USA FACTS. The dependent variable was the total number of COVID-19-related deaths. Independent variables included county-level resources: (1) hospital staffing levels (FTE RNs, hospitalists, and intensivists) per 10,000 population; (2) hospital capacity (occupancy rate, proportion of teaching hospitals, and number of airborne infection control rooms per 10,000 population); and (3) macroeconomic resources [per capita income and location (urban/rural)]. We controlled for population 65+, racial/ethnic minority, and COVID-19 deaths per 1,000 population. A negative binomial regression was used. Hospital staffing per 10,000 population {FTE RN [IRR = 0.997; CI (0.995-0.999)], FTE hospitalists [IRR = 0.936; CI (0.897-0.978)], and FTE intensivists [IRR = 0.606; CI (0.516-0.712)]} was associated with lower COVID-19-related deaths. Hospital occupancy rate, proportion of teaching hospitals, and total number of airborne infection control rooms per 10,000 population were positively associated with COVID-19-related deaths. Per capita income and being in an urban county were positively associated with COVID-19-related deaths. Finally, the proportion of 65+, racial/ethnic minorities, and the number of cases were positively associated with COVID-19-related deaths. Our findings suggest that focusing on maintaining adequate hospital staffing could improve COVID-19 mortality.

Health disparities in past influenza pandemics: A scoping review of the literature

Objective

The COVID-19 pandemic has exacerbated existing health disparities. To provide a historical perspective on health disparities for pandemic acute respiratory viruses, we conducted a scoping review of the public health literature of health disparities in influenza outcomes during the 1918, 1957, 1968, and 2009 influenza pandemics.

Methods

We searched for articles examining socioeconomic or racial/ethnic disparities in any population, examining any influenza-related outcome (e.g., incidence, hospitalizations, mortality), during the 1918, 1957, 1968, and 2009 influenza pandemics. We conducted a structured search of English-written articles in PubMed supplemented by a snowball of articles meeting inclusion criteria.

Results

A total of 29 articles met inclusion criteria, all but one focusing exclusively on the 1918 or 2009 pandemics. Individuals of low socioeconomic status, or living in low socioeconomic status areas, experienced higher incidence, hospitalizations, and mortality in the 1918 and 2009 pandemics. There were conflicting results regarding racial/ethnic disparities during the 1918 pandemic, with differences in magnitude and direction by outcome, potentially due to issues in data quality by race/ethnicity. Racial/ethnic minorities had generally higher incidence, mortality, and hospitalization rates in the 1957 and 2009 pandemics.

Conclusion

Individuals of low socioeconomic status and racial/ethnic minorities have historically experienced worse influenza outcomes during pandemics. These historical patterns can inform current research to understand disparities in the ongoing COVID-19 pandemic and future pandemics.

A framework for meta-learning in science education for a time of crisis and beyond

Science education has an important role in educating the public on learning strategies that will generate a scientific literate population. The challenges encountered in this time of crisis calls for individuals to make well-informed decisions, based on reliable information. Understanding scientific basic concepts can inform the population on making informed decisions that will protect and prosper their communities. This study applied a grounded theory approach to propose a framework for meta-learning as a strategy that enhances science understanding and cultivates trust toward science. Meta-learning in science education is contextualized during a time of crisis and four stages are suggested for the meta-learning process. In the first stage, the learner becomes aware of a situation and activates prior knowledge. In the second stage, the learner searches and evaluates reliable information. In the third stage, the learner adjusts their behavior based on the new knowledge. Finally, in the fourth stage, the learner embraces learning as an everlasting process and re-adjusts behavior accordingly. Through meta-learning practices in science education, learners can claim agency of their learning processes and embrace a lifelong learning endeavor that will benefit themselves and those around them.

Fairness and efficiency considerations in COVID-19 vaccine allocation strategies: A case study comparing front-line workers and 65-74 year olds in the United States

The COVID-19 epidemic in the United States has been characterized by two stark disparities. COVID-19 burden has been unequally distributed among racial and ethnic groups and at the same time the mortality rates have been sharply higher among older age groups. These disparities have led some to suggest that inequalities could be reduced by vaccinating front-line workers before vaccinating older individuals, as older individuals in the US are disproportionately Non-Hispanic White. We compare the performance of two distribution policies, one allocating vaccines to front-line workers and another to older individuals aged 65-74-year-old. We estimate both the number of lives saved and the number of years of life saved under each of the policies, overall and in every race/ethnicity groups, in the United States and every state. We show that prioritizing COVID-19 vaccines for 65-74-year-olds saves both more lives and more years of life than allocating vaccines front-line workers in each racial/ethnic group, in the United States as a whole and in nearly every state. When evaluating fairness of vaccine allocation policies, the overall benefit to impact of each population subgroup should be considered, not only the proportion of doses that is distributed to each subgroup. Further work can identify prioritization schemes that perform better on multiple equity metrics.

Community Engagement Alliance (CEAL) Against COVID-19 Disparities: Academic-community partnership to support workforce capacity building among Arizona community health workers

The COVID-19 pandemic has both highlighted and worsened existing health inequities among communities of color and structurally vulnerable populations. Community Health Workers, inclusive of Community Health Representatives (CHW/Rs) have entered the spotlight as essential to COVID-19 prevention and control. To learn about community experiences and perspectives related to COVID-19 and inform CHW/R workforce capacity building efforts, a series of focus groups were conducted with CHW/Rs throughout Arizona at two time points in 2021. Throughout the data collection and analysis process, researchers and community partners engaged in ongoing and open dialogue about what CHW/Rs on the ground were reporting as priority community concerns, needs, and challenges. Thus, CHW/Rs informed the development of culturally and linguistically relevant health education messages, materials, and training for CHW/Rs. In this community case study, we detail the efforts of partnership between a statewide CHW professional association and an academic research team that facilitated rapid decision-making and knowledge sharing to create community-grounded tools and resources supportive of CHW/R workforce capacity building in the context of the COVID-19 pandemic.