The unequal burden of the Covid-19 pandemic: Capturing racial/ethnic disparities in US cause-specific mortality

Factors that shape COVID-19 pediatric vaccine decision-making in rural agricultural communities: A qualitative study

While COVID-19 immunizations can improve outcomes from SARS-CoV-2, vaccine rates in the United States have been lowest among children under age 11 and among rural agricultural communities. This study examined factors influencing pediatric COVID-19 vaccine uptake among rural agricultural and predominantly Hispanic communities in Washington State. We conducted in-depth interviews with school district employees and students and held English and Spanish focus group discussions with parents, all of which were audio-recorded and transcribed. We used inductive coding with constant comparison approach to capture emergent themes. We identified five factors that influenced pediatric COVID-19 vaccine uptake in a rural community, including: 1) concerns and misinformation surrounding the new vaccine; 2) witnessing others' vaccine and pandemic experiences; 3) participation in social activities; 4) politicization of and political climate surrounding the vaccine; and 5) health education surrounding the vaccines. To increase pediatric COVID-19 vaccine uptake in rural communities, school districts, students, and parents should receive accurate information and reassurance to dispel health concerns and misinformation, without politicization of the vaccine and fears surrounding vaccine regulations. Social networks can be leveraged to encourage vaccine uptake by sharing positive vaccination vignettes. Clinical Trial Registration: ClinicalTrials.gov Identifier: NCT04859699https://clinicaltrials.gov/ct2/show/NCT04859699.

The association between decision and incision time by race and ethnicity

BACKGROUND

Identifying and reducing inequities in the delivery of care is crucial to improving health disparities in obstetric outcomes. This study sought to evaluate the effect of race and ethnicity on time from decision for cesarean delivery to incision following implementation of a case classification system.

METHODS

A retrospective cohort study was performed to identify women who had cesarean deliveries from October 1, 2020, to March 31, 2021, at a single, tertiary care institution. Medical records were reviewed for demographics and cesarean delivery case classification. Case classification was divided into STAT cesarean delivery (within 10 minutes), level A (within 30 minutes), level B (within 60 minutes), or scheduled/unscheduled other. The "decision to incision time" was determined from the time the case surgical order was placed to the case start time.

RESULTS

There were 565 eligible individuals who had a cesarean delivery during the study period, with 13.6% identifying as Black/African American, 29.0% as Hispanic/Latina, and 57.3% as White. Hispanic women were more likely to need interpreter services than other race/ethnicity groups. There was no statistically significant difference in "decision to incision time" by race/ethnicity. Within the total cohort, 51.8% of cesarean delivery cases went within the goal time according to case classification, which also did not differ by race/ethnicity.

CONCLUSIONS

Race and ethnicity do not impact cesarean delivery "decision to incision time" or case classification. Only half of cesarean deliveries went within the goal time, so further evaluation to improve workflow and improve this metric for all patients is needed.

Changes in School-Age Children's Well-being and School-Related Needs Post COVID-19 Pandemic

COVID-19 highlighted the importance of schools for child health, as emerging data suggest that pandemic-related school closures may have led to worsening child health and exacerbated health disparities. This study examines school-aged children's well-being, and characterizes changes in school-related needs, from 2021 to 2022. This is a secondary analysis of a longitudinal cohort study, where a nationally representative sample of parents of school-aged children were surveyed in June 2021 and 2022. The percentage of children with deficits in total difficulties, hyperactivity, and prosocial behavior decreased at follow-up, while a high percentage of children continued to experience peer problems. At least one school-related need remained for most parents. Highest priority needs were academic enrichment, socialization, physical activity, tutoring, and coping with stress. Academic support and social-emotional well-being remained major parental concerns, with social development showing significant deficit. Improvements in child well-being were experienced unequally across demographic groups.

Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare

BACKGROUND

The concept of health equity by design encompasses a multifaceted approach that integrates actions aimed at eliminating biased, unjust, and correctable differences among groups of people as a fundamental element in the design of algorithms. As algorithmic tools are increasingly integrated into clinical practice at multiple levels, nurses are uniquely positioned to address challenges posed by the historical marginalization of minority groups and its intersections with the use of "big data" in healthcare settings; however, a coherent framework is needed to ensure that nurses receive appropriate training in these domains and are equipped to act effectively.

PURPOSE

We introduce the Bias Elimination for Fair AI in Healthcare (BE FAIR) framework, a comprehensive strategic approach that incorporates principles of health equity by design, for nurses to employ when seeking to mitigate bias and prevent discriminatory practices arising from the use of clinical algorithms in healthcare. By using examples from a "real-world" AI governance framework, we aim to initiate a wider discourse on equipping nurses with the skills needed to champion the BE FAIR initiative.

METHODS

Drawing on principles recently articulated by the Office of the National Coordinator for Health Information Technology, we conducted a critical examination of the concept of health equity by design. We also reviewed recent literature describing the risks of artificial intelligence (AI) technologies in healthcare as well as their potential for advancing health equity. Building on this context, we describe the BE FAIR framework, which has the potential to enable nurses to take a leadership role within health systems by implementing a governance structure to oversee the fairness and quality of clinical algorithms. We then examine leading frameworks for promoting health equity to inform the operationalization of BE FAIR within a local AI governance framework.

RESULTS

The application of the BE FAIR framework within the context of a working governance system for clinical AI technologies demonstrates how nurses can leverage their expertise to support the development and deployment of clinical algorithms, mitigating risks such as bias and promoting ethical, high-quality care powered by big data and AI technologies.

CONCLUSION AND RELEVANCE

As health systems learn how well-intentioned clinical algorithms can potentially perpetuate health disparities, we have an opportunity and an obligation to do better. New efforts empowering nurses to advocate for BE FAIR, involving them in AI governance, data collection methods, and the evaluation of tools intended to reduce bias, mark important steps in achieving equitable healthcare for all.

Large and unequal life expectancy declines during the COVID-19 pandemic in India in 2020

Global population health during the COVID-19 pandemic is poorly understood because of weak mortality monitoring in low- and middle-income countries. High-quality survey data on 765,180 individuals, representative of one-fourth of India's population, uncover patterns missed by incomplete vital statistics and disease surveillance. Compared to 2019, life expectancy at birth was 2.6 years lower and mortality was 17% higher in 2020, implying 1.19 million excess deaths in 2020. Life expectancy declines in India were larger and had a younger age profile than in high-income countries. Increases in mortality were greater than expected based on observed seroprevalence and international infection fatality rates, most prominently among the youngest and older age groups. In contrast to global patterns, females in India experienced a life expectancy decline that was 1 year larger than losses for males. Marginalized social groups experienced greater declines than the most privileged social group. These findings uncover large and unequal mortality impacts during the pandemic in the world's most populous country.

The Impact of Comorbidities among Ethnic Minorities on COVID-19 Severity and Mortality in Canada and the USA: A Scoping Review

(1) Current literature on ethnic minorities, comorbidities, and COVID-19 tends to investigate these factors separately, leaving gaps in our understanding about their interactions. Our review seeks to identify a relationship between ethnicity, comorbidities, and severe COVID-19 outcomes (ICU admission and mortality). We hope to enhance our understanding of the various factors that exacerbate COVID-19 severity and mortality in ethnic minorities in Canada and the USA. (2) All articles were received from PubMed, Scopus, CINAHL, and Ovid EMBASE from November 2020 to June 2022. Included articles contain information regarding comorbidities among ethnic minorities in relation to COVID-19 severity and mortality. (3) A total of 59 articles were included that examined various ethnic groups, including Black/African American, Asian, Hispanic, White/Caucasian, and Indigenous people. We found that the most examined comorbidities were diabetes, hypertension, obesity, and chronic kidney disease. A total of 76.9% of the articles (40 out of 52) found a significant association between different races and COVID-19 mortality, whereas 21.2% of the articles (11 out of 52) did not. (4) COVID-19 ICU admissions and mortality affect various ethnic groups differently, with Black patients generally having the most adverse outcomes. These outcomes may also interact with sex and age, though more research is needed assessing these variables together with ethnicity.

Recruiting a prospective community cohort to study Alzheimer's disease and structural and social determinants of health among adults racialized as Black: The ARCHES cohort

INTRODUCTION

This ongoing, prospective study examines the effectiveness of methods used to successfully recruit and retain 238 Black older adults in a longitudinal, observational Alzheimer's disease (AD) study.

METHODS

Recruitment strategies included traditional media, established research registries, speaking engagements, community events, and snowball sampling. Participants were asked to complete an annual office testing session, blood-based biomarker collection, optional one-time magnetic resonance imaging (MRI) scan, and community workshop.

RESULTS

Within the first 22 months of active recruitment, 629 individuals expressed interest in participating, and 238 enrolled in the ongoing study. Of the recruitment methods used, snowball sampling, community events, and speaking engagements were the most effective.

DISCUSSION

The systemic underrepresentation of Black participants in AD research impacts the ability to generalize research findings and determine the effectiveness and safety of disease-modifying treatments. Research to slow, stop, or prevent AD remains a top priority but requires diversity in sample representation.

Highlights

Provide flexible appointments in the evening or weekends, offering transportation assistance, and allowing participants to complete study visits at alternative locations, such as senior centers or community centers.Continuously monitor and analyze recruitment data to identify trends, challenges, and opportunities for improvement.Implement targeted strategies to recruit participants who are underrepresented based on sex, gender, or education to increase representation.Diversify the research team to include members who reflect the racial and cultural backgrounds of the target population, to enhance trust and rapport with prospective participants.

Evolving Barriers to Clinical Trial Enrollment and Clinical Care in Neuro-oncology in the Face of COVID-19

The lack of treatments with durable response in neuro-oncology highlights the critical need for clinical trials to advance patient care. The intersection of relatively low incidence, evolving classification schema, and entrenched community, healthcare provider, and organizational factors have been historic challenges against successful trial enrollment and implementation. The additional need for multidisciplinary, often tertiary-level care, further magnifies latent national and international health inequities with rural and under-served populations. The COVID-19 pandemic both unveiled fundamental weaknesses in historical approaches and prompted the necessity of new approaches and systems for conducting clinical trials. Here, we provide an overview of traditional barriers to clinical trial enrollment in neuro-oncology, the effect of COVID-19 on these barriers, and the discovery of additional systemic weaknesses. Finally, we discuss future directions by reflecting on lessons learned with strategies to broaden access of care and streamline clinical trial integration into clinical practice.

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.

Moral Resilience and Race, Ethnicity, and Culture Within Healthcare Workers During the COVID-19 Pandemic in the USA: a Scoping Review

The COVID-19 pandemic has and continues to impact the world affecting all aspects of life. Healthcare workers have been hit especially hard and, in many cases, experience negative impacts not only on their physical health but also on their mental and emotional well-being. Additionally, the COVID-19 pandemic has not affected populations equally and this is true in the USA, including healthcare workers. However, these workers have also persevered, drawing on moral resilience to push through challenging situations throughout this pandemic. In this scoping review, we analyzed studies to assess the role of race, ethnicity, and/or culture on the moral resilience of healthcare workers throughout the COVID-19 pandemic. Our aim was to understand the research that has assessed these potential connections and determine best practices for building moral resilience in the face of this global catastrophe. Fourteen articles met inclusion criteria and were analyzed in this review. Following a thematic analysis, several themes emerged including (1) moral resilience and the COVID-19 pandemic; (2) race, ethnicity, and culture among healthcare workers; and (3) building moral resilience. In sum, the findings from the literature indicate a paucity of studies that analyze the role played by race, ethnicity, and/or culture in connection to moral resilience during the COVID-19 pandemic.

Immigrant mortality advantage in the United States during the first year of the COVID-19 pandemic

OBJECTIVES

To investigate the mortality impact of the COVID-19 pandemic on US-born and foreign-born populations by race and Hispanic origin in the United States in 2020.

METHODS

Death records from the National Center for Health Statistics and population data from CDC WONDER were used to estimate (1) age-standardized all-cause and cause-specific mortality at ages 25+, 25-64, and 65+ in 2017-2019 and 2020 by nativity, race, Hispanic origin, and sex; (2) changes in mortality between these two periods; and (3) the cause-specific contributions to these changes.

RESULTS

Mortality increased in 2020 relative to 2017-2019 for all racial and Hispanic-origin groups. Adjusting for age, mortality increases were larger at ages 25+ among foreign-born males (390 deaths for 100,000 residents) and females (189) than among US-born males (223) and females (144). The large mortality rise among foreign-born Hispanic men (593) contributed to the narrowing of their mortality advantage relative to White men, from 426 to 134. An increase in mortality among both foreign-born and US-born Black males and females increased the Black-White mortality disparities by 318 for males and by 180 for females. Although COVID-19 mortality was the main driver of the increase among foreign-born residents, circulatory diseases and malignant neoplasms also contributed.

CONTRIBUTION

We show that the COVID-19 pandemic had a greater impact on foreign-born populations than on their US-born counterparts. These findings highlight the need to address the underlying inequalities and unique challenges faced by foreign-born populations.

Understanding Physical Distancing and Face Mask Use Across High-Risk African American Subgroups During the COVID-19 Pandemic: Application of Health Belief Model

Physical distancing and face masks remain frontline prevention strategies due to suboptimal vaccine uptake and the highly infectious COVID-19 variants. Communities of color are disproportionately impacted by a chronic disease burden that places them at higher risk of severe COVID-19 disease. Therefore, they can greatly benefit from face mask use and physical distancing, especially if the individual(s) have not received the vaccine. We applied the Health Belief Model to explore barriers and motivators influencing physical distancing and face mask use among high-risk, Black American subgroups during the early COVID-19 pandemic stages. We conducted 62 semi-structured interviews among four Black American subgroups: young adults, individuals with underlying medical conditions, essential workers, and parents. Thematic analysis, guided by the Health Belief Model, yielded six themes: (1) Knowledge on Face Mask Use and Physical Distancing, (2) Perceived Susceptibility and Severity Varies by Subgroup, (3) Experience with and Perceived Self-Efficacy to Engage in Preventive Behavior, (4) Perceived Benefits to engaging in preventive behaviors, (5) Perceived Barriers to engage in preventive behaviors, and (6) Cues to action to increase participation. Each subgroup's unique experience informed multilevel, tailored approaches that can be used by health promotion practitioners to improve face mask use and physical distancing among uniquely vulnerable Black American subgroups in the current and future pandemic.

Latino Mortality Paradox Found (Again): COVID-19 Mortality a Tale of Two Years

Objectives: This study examines the resiliency of the Latino Mortality paradox during the COVID-19 pandemic. Methods: Data from the Centers for Disease Control and Prevention are used to compute the ratio of Latino-to-white all-causes death rates for adults aged 45 and older, nationally and among 13 U.S. states with Latino populations greater than one million. Results: Nationally, the Latino mortality paradox persisted in 2020 and 2021. However, there was significant variation across states. We document three distinct patterns of COVID-19 mortality across 13 U.S. states: 1) the disappearance of the Latino mortality paradox, 2) the persistence of the Latino mortality paradox, and 3) the disappearance in 2020 and reemergence in 2021 of the Latino mortality paradox. Discussion: COVID-19 Mortality has disproportionately affected mid- and late-life Latinos, although the disparities relative to whites have narrowed. We discuss the dynamics influencing the waning and waxing of the Latino mortality paradox.

Structural Racism and Lessons Not Heard: A Rapid Review of the Telepsychiatry Literature During the COVID-19 Public Health Emergency

Objective: To assess the extent to which articles examining telepsychiatry after the start of the COVID-19 pandemic provided racial and sociodemographic characteristics for people receiving audiovisual (video) versus audio-only telepsychiatry.

Data Sources, Study Selection, and Data Extraction: We employed the keyword telepsychiatry and screened all peer-reviewed articles in PubMed published from March 1, 2020, until November 23, 2022, prior to the federal government's announcement of the impending end to the COVID-19 public health emergency. We retrieved and reviewed the full-text articles of 553 results for potential inclusion, of which 266 were original research articles.

Results: We found that 106 of 553 articles had any mention of differences between audio-only and audiovisual telepsychiatry. Twenty-nine of 553 articles described potential socioeconomic differences in the distribution of people receiving audio-only versus audiovisual telepsychiatry, and 20 of 553 described potential racial/ethnic differences. Among research articles, most (213/266) did not differentiate between videoconferencing and audio-only/telephone-based telehealth services. A total of 4 research articles provided racial and sociodemographic characteristics of individuals who received audio-only versus audiovisual telepsychiatry services during the COVID-19 pandemic, all of which were conducted in relatively small regional samples that could not be generalized to the US as a whole.

Conclusions: Overall, this analysis underscores that empirical data are lacking on racial and sociodemographic distribution of audio-only versus audiovisual telepsychiatry services since the COVID-19 pandemic.

Prim Care Companion CNS Disord 2023;25(6):23r03563.

Author affiliations are listed at the end of this article.

Years of life lost to drug overdose in the Latinx community during the most recent wave of overdose deaths

BACKGROUND AND OBJECTIVES

This study estimated years of life lost (YLL) among US Latinx individuals during the most recent wave of drug overdose deaths.

METHODS

A serial cross-sectional study of YLL (life expectancy minus age at death) from death certificate records of Latinx individuals who died from drug overdoses from 2015 to mid-2022.

RESULTS

Over the study period, 58,209 Latinx individuals aged 15-64 years died from drug overdoses resulting in 2,266,784 YLL. Age-group YLL differences remained stable, but gender YLL trajectories diverged.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

This study extends our understanding of the immense loss to Latinx communities from preventable drug deaths.

COPD-Related Mortality before and after Mass COVID-19 Vaccination in Northern Italy

BACKGROUND/OBJECTIVE

Little is known about the impact of the COVID-19 pandemic on mortality from COPD at the population level. The objective was to investigate COPD-related mortality throughout different epidemic waves in Italy before and after the vaccination campaign, which started in late December 2020 and initially targeted the population aged ≥80 years.

METHODS

Death certificates of residents in Veneto (Northeastern Italy) aged ≥40 years between 2008 and 2021 were analyzed. Age-standardized morality rates were computed for death certificates with any mention of COPD. Generalized estimating equation (GEE) models were fitted to estimate the expected mortality during the pandemic. The results were stratified by age groups of 40-79 and ≥80 years, main comorbidities, and place of death.

RESULTS

COPD was mentioned in 3478 death certificates in 2020 (+14% compared to the 2018-2019 average) and in 3133 in 2021 (+3%). Age-standardized mortality rates increased in all age and sex groups in 2020; in 2021, mortality returned to pre-pandemic levels among the elderly but not in the population aged 40-79 years (+6%). GEE models confirmed this differential trend by age. COPD-related mortality peaks were observed, especially in the first pandemic waves, with COVID-19 identified as the underlying cause of death in a relevant proportion (up to 35% in November 2020-January 2021). Mortality with comorbid diabetes and hypertensive diseases slightly increased during the pandemic.

CONCLUSION

COPD-related mortality increased at the beginning of the pandemic, due to deaths from COVID-19. The start of the vaccination campaign was associated with an important decline in COPD-related mortality, especially among the elderly, who first benefited from COVID-19 vaccines. The study findings show the role of mass vaccination in reducing COPD-related deaths during the later phases of the pandemic.

Did the socioeconomic inequalities in avoidable and unavoidable mortality worsen during the first year of the COVID-19 pandemic in Korea?

OBJECTIVES

This study examined changes in socioeconomic inequalities in mortality in Korea before and after the outbreak of coronavirus disease 2019 (COVID-19).

METHODS

From 2017 to 2020, age-standardized mortality rates were calculated for all-cause deaths, avoidable deaths (preventable deaths, treatable deaths), and unavoidable deaths using National Health Insurance claims data and Statistics Korea's cause of death data. In addition, the slope index of inequality (SII) and the relative index of inequality (RII) by six income levels (Medical Aid beneficiary group and quintile of health insurance premiums) were computed to analyze the magnitude and change of mortality inequalities.

RESULTS

All-cause and avoidable mortality rates decreased steadily between 2017 and 2020, whereas unavoidable mortality remained relatively stable. In the case of mortality inequalities, the disparity in all-cause mortality between income classes was exacerbated in 2020 compared to 2019, with the SII increasing from 185.44 to 189.22 and the RII increasing from 3.99 to 4.29. In particular, the preventable and unavoidable mortality rates showed an apparent increase in inequality, as both the SII (preventable: 91.31 to 92.01, unavoidable: 69.99 to 75.38) and RII (preventable: 3.42 to 3.66, unavoidable: 5.02 to 5.89) increased.

CONCLUSIONS

In the first year of the COVID-19 pandemic, mortality inequality continued to increase, although there was no sign of exacerbation. It is necessary to continuously evaluate mortality inequalities, particularly for preventable and unavoidable deaths.

Racial/Ethnic Inequity in Transit-Based Spatial Accessibility to COVID-19 Vaccination Sites

With the ongoing spread of COVID-19, vaccination stands as an effective measure to control and mitigate the impact of the disease. However, due to the unequal distribution of COVID-19 vaccination sites, people can have different levels of spatial accessibility to COVID-19 vaccination. This study adopts an improved gravity-based model to measure the racial/ethnic inequity in transit-based spatial accessibility to COVID-19 vaccination sites in the Chicago Metropolitan Area. The results show that Black-majority and Hispanic-majority neighborhoods have significantly lower transit-based spatial accessibility to COVID-19 vaccination sites compared to White-majority neighborhoods. This research concludes that minority-dominated inner-city neighborhoods, despite better public transit coverage, are still disadvantaged in terms of transit-based spatial accessibility to COVID-19 vaccination sites. This is probably due to their higher population densities, which increase the competition for the limited supply of COVID-19 vaccination sites within each catchment area.

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.

The impact of the COVID-19 pandemic on inequalities in preventive health screenings: Trends and implications for U.S. population health

The COVID-19 pandemic has profoundly impacted population well-being in the United States, exacerbating existing racial and socioeconomic inequalities in health and mortality. Importantly, as the pandemic disrupted the provision of vital preventive health screenings for cardiometabolic diseases and cancers, more research is needed to understand whether this disruption had an unequal impact across racialized and socioeconomic lines. We draw on the 2019 and 2021 National Health Interview Survey to explore whether the COVID-19 pandemic contributed to racialized and schooling inequalities in the reception of preventive screenings for cardiometabolic diseases and cancers. We find striking evidence that Asian Americans, and to a lesser extent Hispanic and Black Americans, reported decreased reception of many types of cardiometabolic and cancer screenings in 2021 relative to 2019. Moreover, we find that across schooling groups, those with a bachelor's degree or higher experienced the greatest decline in screening reception for most cardiometabolic diseases and cancers, and those with less than a high school degree experienced the greatest decline in screening reception for diabetes. Findings have important implications for health inequalities and U.S. population health in the coming decades. Research and health policy attention should be directed toward ensuring that preventive health care is a key priority for public health, particularly among socially marginalized groups who may be at increased risk of delayed diagnosis for screenable diseases.

Attributed causes of excess mortality during the COVID-19 pandemic in a south Indian city

Globally, excess deaths during 2020-21 outnumbered documented COVID-19 deaths by 9.5 million, primarily driven by deaths in low- and middle-income countries (LMICs) with limited vital surveillance. Here we unravel the contributions of probable COVID-19 deaths from other changes in mortality related to pandemic control measures using medically-certified death registrations from Madurai, India-an urban center with well-functioning vital surveillance. Between March, 2020 and July, 2021, all-cause deaths in Madurai exceeded expected levels by 30% (95% confidence interval: 27-33%). Although driven by deaths attributed to cardiovascular or cerebrovascular conditions, diabetes, senility, and other uncategorized causes, increases in these attributions were restricted to medically-unsupervised deaths, and aligned with surges in confirmed or attributed COVID-19 mortality, likely reflecting mortality among unconfirmed COVID-19 cases. Implementation of lockdown measures was associated with a 7% (0-13%) reduction in all-cause mortality, driven by reductions in deaths attributed to injuries, infectious diseases and maternal conditions, and cirrhosis and other liver conditions, respectively, but offset by a doubling in cancer deaths. Our findings help to account for gaps between documented COVID-19 mortality and excess all-cause mortality during the pandemic in an LMIC setting.

Multilevel Analysis of Racial and Ethnic Disparities in COVID-19 Hospitalization among Children with Allergies

Rationale: Previous studies have identified risk factors for coronavirus disease (COVID-19) hospitalization in children. However, these studies have been limited in their ability to disentangle the contribution of racial disparities, allergic comorbidities, and environmental exposures to the development of severe COVID-19 in at-risk children with allergies. Objectives: To examine racial and ethnic disparities in COVID-19 hospitalization and their links to potentially underlying allergic comorbidities and individual and place-based factors in children with allergies. Methods: This is an electronic health record-based retrospective study of children in 2020. The outcome was COVID-19 hospitalization categorized as no hospital care for patients with asymptomatic/mild illness, short stay for patients admitted and discharged within 24 hours, and prolonged stay for patients requiring additional time to discharge (more than 24 h). Mixed-effects and mediation models were used to determine relationships among independent variables, mediators, and COVID-19 hospitalization. Results: Among the 5,258 children with COVID-19 positive test or diagnosis, 10% required a short stay, and 3.7% required a prolonged stay. Black and Hispanic children had higher odds of longer stays than non-Hispanic White children (both P < 0.001). Children with obesity and eosinophilic esophagitis diagnoses had higher odds of short and prolonged stay (all P < 0.05). Area-level deprivation was associated with short stay (adjusted odds ratio [AOR], 15.49; 95% confidence interval [CI], 5.16-45.47 for every 0.1-unit increase) and prolonged stay (AOR, 11.82; 95% CI, 2.25-62.01 for every 0.1-unit increase). Associations between race/ethnicity and COVID-19 hospitalization were primarily mediated by insurance and area-level deprivation, altogether accounting for 99% of the variation in COVID-19 hospitalization. Conclusions: There were racial and ethnic differences in children with allergies and individual and place-based factors related to COVID-19 hospitalization. Differences were primarily mediated by insurance and area-level deprivation, altogether accounting for 99% of the variation in COVID-19 hospitalization. A better understanding of COVID-related morbidity in children and the link to place-based factors is key to developing prevention strategies capable of equitably improving outcomes.

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.

Associations between mortality from COVID-19 and other causes: A state-level analysis

BACKGROUND

During the COVID-19 pandemic, the high death toll from COVID-19 was accompanied by a rise in mortality from other causes of death. The objective of this study was to identify the relationship between mortality from COVID-19 and changes in mortality from specific causes of death by exploiting spatial variation in these relationships across US states.

METHODS

We use cause-specific mortality data from CDC Wonder and population estimates from the US Census Bureau to examine relationships at the state level between mortality from COVID-19 and changes in mortality from other causes of death. We calculate age-standardized death rates (ASDR) for three age groups, nine underlying causes of death, and all 50 states and the District of Columbia between the first full year of the pandemic (March 2020-February 2021) and the year prior (March 2019-February 2020). We then estimate the relationship between changes in cause-specific ASDR and COVID-19 ASDR using linear regression analysis weighted by the size of the state's population.

RESULTS

We estimate that causes of death other than COVID-19 represent 19.6% of the total mortality burden associated with COVID-19 during the first year of the COVID-19 pandemic. At ages 25+, circulatory disease accounted for 51.3% of this burden while dementia (16.4%), other respiratory diseases (12.4%), influenza/pneumonia (8.7%) and diabetes (8.6%) also contribute. In contrast, there was an inverse association across states between COVID-19 death rates and changes in death rates from cancer. We found no state-level association between COVID-19 mortality and rising mortality from external causes.

CONCLUSIONS

States with unusually high death rates from COVID-19 experienced an even larger mortality burden than implied by those rates alone. Circulatory disease served as the most important route through which COVID-19 mortality affected death rates from other causes of death. Dementia and other respiratory diseases made the second and third largest contributions. In contrast, mortality from neoplasms tended to decline in states with the highest death rates from COVID-19. Such information may help to inform state-level responses aimed at easing the full mortality burden of the COVID-19 pandemic.

COVID-19: Implications for Nursing and Health Care in the United States

PURPOSE

COVID-19 and other recent infectious disease outbreaks have highlighted the urgency of robust, resilient health systems. We may now have the opportunity to reform the flawed health care system that made COVID-19 far more damaging in the United States (U.S.) than necessary.

DESIGN AND METHODS

Guided by the World Health Organization (WHO) Health System Building Blocks framework (WHO, 2007) and the socio-ecological model (e.g., McLeroy et al., 1988), we identified challenges in and strengths of the U.S.' handling of the pandemic, lessons learned, and policy implications for more resilient future health care delivery in the U.S. Using the aforementioned frameworks, we identified crucial, intertwined domains that have influenced and been influenced by health care delivery in the U.S. during the COVID-19 pandemic through a review and analysis of the COVID-19 literature and the collective expertise of a panel of research and clinical experts. An iterative process using a modified Delphi technique was used to reach consensus.

FINDINGS

Four critically important, inter-related domains needing improvement individually, interpersonally, within communities, and for critical public policy reform were identified: Social determinants of health, mental health, communication, and the nursing workforce.

CONCLUSIONS

The four domains identified in this analysis demonstrate the challenges generated or intensified by the COVID-19 pandemic, their dynamic interconnectedness, and the critical importance of health equity to resilient health systems, an effective pandemic response, and better health for all.

CLINICAL RELEVANCE

The novel coronavirus is unlikely to be the last pandemic in the U.S. and globally. To control COVID-19 and prevent unnecessary suffering and social and economic damage from future pandemics, the U.S. will need to improve its capacity to protect the public's health. Complex problems require multi-level solutions across critical domains. The COVID-19 pandemic has underscored four interrelated domains that reveal and compound deep underlying problems in the socioeconomic structure and health care system of the U.S. In so doing, however, the pandemic illuminates the way toward reforms that could improve our ability not only to cope with likely future epidemics but also to better serve the health care needs of the entire population. This article highlights the pressing need for multi-level individual, interpersonal, community, and public policy reforms to improve clinical care and public health outcomes in the current COVID-19 pandemic and future pandemics, and offers recommendations to achieve these aims.

Mortality Related to Chronic Obstructive Pulmonary Disease during the COVID-19 Pandemic: An Analysis of Multiple Causes of Death through Different Epidemic Waves in Veneto, Italy

Mortality related to chronic obstructive pulmonary disease (COPD) during the COVID-19 pandemic is possibly underestimated by sparse available data. The study aimed to assess the impact of the pandemic on COPD-related mortality by means of time series analyses of causes of death data. We analyzed the death certificates of residents in Veneto (Italy) aged ≥40 years from 2008 to 2020. The age-standardized rates were computed for COPD as the underlying cause of death (UCOD) and as any mention in death certificates (multiple cause of death-MCOD). The annual percent change (APC) in the rates was estimated for the pre-pandemic period. Excess COPD-related mortality in 2020 was estimated by means of Seasonal Autoregressive Integrated Moving Average models. Overall, COPD was mentioned in 7.2% (43,780) of all deaths. From 2008 to 2019, the APC for COPD-related mortality was -4.9% (95% CI -5.5%, -4.2%) in men and -3.1% in women (95% CI -3.8%, -2.5%). In 2020 compared to the 2018-2019 average, the number of deaths from COPD (UCOD) declined by 8%, while COPD-related deaths (MCOD) increased by 14% (95% CI 10-18%), with peaks corresponding to the COVID-19 epidemic waves. Time series analyses confirmed that in 2020, COPD-related mortality increased by 16%. Patients with COPD experienced significant excess mortality during the first year of the pandemic. The decline in COPD mortality as the UCOD is explained by COVID-19 acting as a competing cause, highlighting how an MCOD approach is needed.

Dynamics of racial disparities in all-cause mortality during the COVID-19 pandemic

As research documenting disparate impacts of COVID-19 by race and ethnicity grows, little attention has been given to dynamics in mortality disparities during the pandemic and whether changes in disparities persist. We estimate age-standardized monthly all-cause mortality in the United States from January 2018 through February 2022 for seven racial/ethnic populations. Using joinpoint regression, we quantify trends in race-specific rate ratios relative to non-Hispanic White mortality to examine the magnitude of pandemic-related shifts in mortality disparities. Prepandemic disparities were stable from January 2018 through February 2020. With the start of the pandemic, relative mortality disadvantages increased for American Indian or Alaska Native (AIAN), Native Hawaiian or other Pacific Islander (NHOPI), and Black individuals, and relative mortality advantages decreased for Asian and Hispanic groups. Rate ratios generally increased during COVID-19 surges, with different patterns in the summer 2021 and winter 2021/2022 surges, when disparities approached prepandemic levels for Asian and Black individuals. However, two populations below age 65 fared worse than White individuals during these surges. For AIAN people, the observed rate ratio reached 2.25 (95% CI = 2.14, 2.37) in October 2021 vs. a prepandemic mean of 1.74 (95% CI = 1.62, 1.86), and for NHOPI people, the observed rate ratio reached 2.12 (95% CI = 1.92, 2.33) in August 2021 vs. a prepandemic mean of 1.31 (95% CI = 1.13, 1.49). Our results highlight the dynamic nature of racial/ethnic disparities in mortality and raise alarm about the exacerbation of mortality inequities for Indigenous groups due to the pandemic.

Racial/ethnic and gender disparities of the impact of the COVID-19 pandemic in out-of-hospital cardiac arrest (OHCA) in Texas

INTRODUCTION

Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. Female OHCA patients have lower rates of BCPR compared to men and other survival outcomes vary. The influence of the COVID-19 pandemic on OHCA incidence and outcomes in different health disparity populations is unknown.

METHODS

We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES). We determined the association of both prehospital characteristics and survival outcomes with the pandemic period in each study group through Pearson's χ2 test or Fisher's exact tests. We created mixed multivariable logistic regression models to compare odds of cardiac arrest care and outcomes between 2019 and 2020 for the study groups.

RESULTS

Black OHCA patients (aOR = 0.73; 95% CI: 0.65 - 0.82) had significantly lower odds of BCPR compared to White OHCA patients, were less likely to achieve ROSC (aOR = 0.86; 95% CI: 0.74 - 0.99) or have a good CPC score (aOR = 0.47; 95% CI: 0.29 - 0.75). Compared to White patients with OHCA, Hispanic persons were less likely to have a field TOR (aOR = 0.86; 95% CI: 0.75 - 0.99) or receive BCPR (aOR = 0.78; 95% CI: 0.69 - 0.87). Female OHCA patients had higher odds of surviving to hospital admission compared to males (aOR = 1.29; 95% CI: 1.15 - 1.44).

CONCLUSION

Many OHCA outcomes worsened for Black and Hispanic patients. While some aspects of care worsened for women, their odds of survival improved compared to males.

COVID-19 and changes in college student educational expectations and health by disability status

This study examines the implications of the coronavirus pandemic for college students' health and education, with special attention to variation by disability status. Disaster research supports the hypothesis that students with disabilities will experience higher-than-usual levels of pandemic-related stress, which could lead to re-evaluations of their educational expectations and declines in health. We evaluate this hypothesis by modeling changes in students' (1) mental and physical health and (2) educational expectations during the first year (spring of 2020 to spring of 2021) of the pandemic, using survey data collected from a population-based sample of college students in the state of Indiana. Although we observe across-the-board declines in both domains, students with disabilities were especially vulnerable. Mediation analyses suggest that differential exposure to financial and illness-related stressors is partially to blame, explaining a significant portion of the group differences between students with and without disabilities. We interpret these results as evidence of the unique vulnerabilities associated with disability status and its wide-ranging importance as a dimension of social stratification.

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.

Significant impacts of the COVID-19 pandemic on race/ethnic differences in US mortality

The coronavirus 2019 (COVID-19) pandemic triggered global declines in life expectancy. The United States was hit particularly hard among high-income countries. Early data from the United States showed that these losses varied greatly by race/ethnicity in 2020, with Hispanic and Black Americans suffering much larger losses in life expectancy compared with White people. We add to this research by examining trends in lifespan inequality, average years of life lost, and the contribution of specific causes of death and ages to race/ethnic life-expectancy disparities in the United States from 2010 to 2020. We find that life expectancy in 2020 fell more for Hispanic and Black males (4.5 and 3.6 y, respectively) compared with White males (1.5 y). These drops nearly eliminated the previous life-expectancy advantage for the Hispanic compared with the White population, while dramatically increasing the already large gap in life expectancy between Black and White people. While the drops in life expectancy for the Hispanic population were largely attributable to official COVID-19 deaths, Black Americans saw increases in cardiovascular diseases and "deaths of despair" over this period. In 2020, lifespan inequality increased slightly for Hispanic and White populations but decreased for Black people, reflecting the younger age pattern of COVID-19 deaths for Hispanic people. Overall, the mortality burden of the COVID-19 pandemic hit race/ethnic minorities particularly hard in the United States, underscoring the importance of the social determinants of health during a public health crisis.

Geographic and Temporal Patterns in Covid-19 Mortality by Race and Ethnicity in the United States from March 2020 to February 2022

Prior research has established that American Indian, Alaska Native, Black, Hispanic, and Pacific Islander populations in the United States have experienced substantially higher mortality rates from Covid-19 compared to non-Hispanic white residents during the first year of the pandemic. What remains less clear is how mortality rates have changed for each of these racial/ethnic groups during 2021, given the increasing prevalence of vaccination. In particular, it is unknown how these changes in mortality have varied geographically. In this study, we used provisional data from the National Center for Health Statistics (NCHS) to produce age-standardized estimates of Covid-19 mortality by race/ethnicity in the United States from March 2020 to February 2022 in each metro-nonmetro category, Census region, and Census division. We calculated changes in mortality rates between the first and second years of the pandemic and examined mortality changes by month. We found that when Covid-19 first affected a geographic area, non-Hispanic Black and Hispanic populations experienced extremely high levels of Covid-19 mortality and racial/ethnic inequity that were not repeated at any other time during the pandemic. Between the first and second year of the pandemic, racial/ethnic inequities in Covid-19 mortality decreased-but were not eliminated-for Hispanic, non-Hispanic Black, and non-Hispanic AIAN residents. These inequities decreased due to reductions in mortality for these populations alongside increases in non-Hispanic white mortality. Though racial/ethnic inequities in Covid-19 mortality decreased, substantial inequities still existed in most geographic areas during the pandemic's second year: Non-Hispanic Black, non-Hispanic AIAN, and Hispanic residents reported higher Covid-19 death rates in rural areas than in urban areas, indicating that these communities are facing serious public health challenges. At the same time, the non-Hispanic white mortality rate worsened in rural areas during the second year of the pandemic, suggesting there may be unique factors driving mortality in this population. Finally, vaccination rates were associated with reductions in Covid-19 mortality for Hispanic, non-Hispanic Black, and non-Hispanic white residents, and increased vaccination may have contributed to the decreases in racial/ethnic inequities in Covid-19 mortality observed during the second year of the pandemic. Despite reductions in mortality, Covid-19 mortality remained elevated in nonmetro areas and increased for some racial/ethnic groups, highlighting the need for increased vaccination delivery and equitable public health measures especially in rural communities. Taken together, these findings highlight the continued need to prioritize health equity in the pandemic response and to modify the structures and policies through which systemic racism operates and has generated racial health inequities.

Excess natural-cause deaths in California by cause and setting: March 2020 through February 2021

Excess mortality has exceeded reported deaths from Covid-19 during the pandemic. This gap may be attributable to deaths that occurred among individuals with undiagnosed Covid-19 infections or indirect consequences of the pandemic response such as interruptions in medical care; distinguishing these possibilities has implications for public health responses. In the present study, we examined patterns of excess mortality over time and by setting (in-hospital or out-of-hospital) and cause of death using death certificate data from California. The estimated number of excess natural-cause deaths from 2020 March 1 to 2021 February 28 (69,182) exceeded the number of Covid-19 diagnosed deaths (53,667) by 29%. Nearly half, 47.4% (32,775), of excess natural-cause deaths occurred out of the hospital, where only 28.6% (9,366) of excess mortality was attributed to Covid-19. Over time, increases or decreases in excess natural non-Covid-19 mortality closely mirrored increases or decreases in Covid-19 mortality. The time series were positively correlated in out-of-hospital settings, particularly at time lags when excess natural-cause deaths preceded reported Covid-19 deaths; for example, when comparing Covid-19 deaths to excess natural-cause deaths in the week prior, the correlation was 0.73. The strong temporal association of reported Covid-19 deaths with excess out-of-hospital deaths from other reported natural-cause causes suggests Covid-19 deaths were undercounted during the first year of the pandemic.