The Relationship Between Social Determinants of Health and Racial Disparities in COVID-19 Mortality

Demographic changes in COVID-19 mortality during the pandemic: analysis of trends in disparities among workers using California's mortality surveillance system

BACKGROUND

There is limited information on the extent and patterns of disparities in COVID-19 mortality throughout the pandemic. We aimed to examine trends in disparities by demographics over variants in the pre- and post-vaccine availability period among Californian workers using a social determinants of health lens.

METHODS

Using death certificates, we identified all COVID-19 deaths that occurred between January 2020 and May 2022 among workers aged 18-64 years in California (CA). We derived estimates for at-risk worker populations using the Current Population Survey. The waves of COVID-19 mortality in the pre-vaccine availability period were March 2020-June 2020 (wave 1), and July 2020-November 2020 (wave 2), and in the post-vaccine availability period: December 2020-May 2021 (wave 3), June 2021-January 2022 (wave 4), and February 2022-May 2022 (wave 5). Poisson regression models with robust standard errors were used to determine wave-specific mortality rate ratios (MRRs). We examined the change in MRR across waves by including an interaction term between each demographic characteristic and wave period in different models. The role of potential misclassification of Race/ethnicity on death certificates was examined using probabilistic quantitative bias analysis as sensitivity analysis.

RESULTS

Among the 24.1 million working age CA population included in the study, there were 26,068 COVID-19 deaths in the period between January 2020 and May 2022. Compared with their respective reference groups, workers who were 50-64 years old, male, Native Hawaiian, Latino, or African American, foreign-born; individuals who had lower education; and unmarried were disproportionately affected by COVID-19 mortality. While disparities by sex, race/ethnicity and foreign-born status narrowed in later waves (post-vaccine availability), disparities by age, education level and marital status did not change substantially across waves.

CONCLUSION

Demographic disparities in COVID-19 mortality narrowed in the post-vaccine availability waves. However, the existence of disparities across all waves of the pandemic, even in an era of widespread vaccine coverage, could indicate remaining gaps in prevention and differential vulnerability. Addressing the underlying social, structural, and occupational factors that contribute to these disparities is critical for achieving health equity.

Local Health Department Values and Organizational Authorities Guiding Cross-Sector Work During COVID-19

OBJECTIVE

The COVID-19 pandemic highlighted the role that local health departments (LHDs) have in cross sector can address alone, including the work of value alignment and the strategic use of organizational authorities. The practices by which LHDs used their authorities to conduct cross-sector work during the pandemic need exploration.

METHOD

We conducted semi-structured interviews with 19 public health leaders from metropolitan LHDs across the United States. Our interview guide assessed the values that LHD leadership prioritized in their cross-sector work as well as the range of organizational authorities they leveraged to influence external decision-making in other sectors.

RESULTS

We found that LHDs approached cross-sector work by leaning on diverse values and authorities, each with unique implications for their work. The LHDs emphasized their approach to value alignment on a sector-by-sector basis, strategically using diverse organizational authorities-economic, political, moral, scientific, and logistical. While each authority and value we assessed was present across all interviewees, how each shaped action varied. Internally, LHDs emphasized certain authorities more than others to the degree that they more closely aligned with prioritized core values.

CONCLUSION

Our findings highlight the ongoing need for LHD leadership to improve their ability to effectively communicate public health values and the unique authorities by which health-supporting work can be facilitated, including how this message must be adapted, depending on the specific sectors with which the LHD needs to partner and the governance arrangement in which the LHD is situated.

Still Separate, Still Not Equal: An Ecological Examination of Redlining and Racial Segregation with COVID-19 Vaccination Administration in Washington D.C

Racial residential segregation has been deemed a fundamental cause of health inequities. It is a result of historical and contemporary policies such as redlining that have created a geographic separation of races and corresponds with an inequitable distribution of health-promoting resources. Redlining and racial residential segregation may have contributed to racial inequities in COVID-19 vaccine administration in the early stages of public accessibility. We use data from the National Archives (historical redlining), Home Mortgage Disclosure Act (contemporary redlining), American Community Survey from 1940 (historical racial residential segregation) and 2015-2019 (contemporary racial residential segregation), and Washington D.C. government (COVID-19 vaccination administration) to assess the relationships between redlining, racial residential segregation, and COVID-19 vaccine administration during the early stages of vaccine distribution when a tiered system was in place due to limited supply. Pearson correlation was used to assess whether redlining and racial segregation, measured both historically and contemporarily, were correlated with each other in Washington D.C. Subsequently, linear regression was used to assess whether each of these measures associate with COVID-19 vaccine administration. In both historical and contemporary analyses, there was a positive correlation between redlining and racial residential segregation. Further, redlining and racial residential segregation were each positively associated with administration of the novel COVID-19 vaccine. This study highlights the ongoing ways in which redlining and segregation contribute to racial health inequities. Eliminating racial health inequities in American society requires addressing the root causes that affect access to health-promoting resources.

Continuum of Trauma: Fear and Mistrust of Institutions in Communities of Color During the COVID-19 Pandemic

Historical, cultural, and social trauma, along with social determinants of health (SDOH), shape health outcomes, attitudes toward medicine, government, and health behaviors among communities of color in the United States (U.S.). This study explores how trauma and fear influence COVID-19 testing and vaccination among Black/African American, Latinx/Indigenous Latin American, and Native American/Indigenous communities. Leveraging community-based participatory research methods, we conducted 11 virtual focus groups from January to March of 2021 with Black/African American (n = 4), Latinx/Indigenous Latin American (n = 4), and Native American/Indigenous (n = 3) identifying community members in Inland Southern California. Our team employed rapid analytic approaches (e.g., template and matrix analysis) to summarize data and identify themes across focus groups and used theories of intersectionality and trauma to meaningfully interpret study findings. Historical, cultural, and social trauma induce fear and mistrust in public health and medical institutions influencing COVID-19 testing and vaccination decisions in communities of color in Inland Southern California. This work showcases the need for culturally and structurally sensitive community-based health interventions that attend to the historical, cultural, and social traumas unique to racial/ethnic minority populations in the U.S. that underlie fear and mistrust of medical, scientific, and governmental institutions.

Applying the National Institute on Minority Health and Health Disparities Research Framework to Social Determinants of Health in the Context of Sport-Related Concussion: A Clinical Commentary

Sport-related concussion (SRC) is a prevalent injury. Significant disparities in SRC outcomes exist across racial and ethnic groups. These disparities may be attributed to the unequal distribution of political power (or influence) and resource allocation in various communities, shaping individuals' social determinants of health (SDOH). However, the influence of SDOH on SRC outcomes remains understudied. In this clinical commentary, we use the National Institute on Minority Health and Health Disparities Research Framework and describe how its application can help address gaps in our understanding of SDOH and SRC. This framework provides a comprehensive approach to investigating and addressing health disparities by considering SDOH along multiple levels and domains of influence. Using this framework, athletic trainers can identify areas requiring intervention and better understand how SDOH influence SRC outcomes. This understanding can help athletic trainers develop tailored interventions to promote equitable care for patients with SRC.

An Analysis of the Social Determinants of Health in South Carolina's I-95 Corridor

BACKGROUND

One in four South Carolinians lives in a county along a nearly 200-mile stretch of Interstate 95 (I-95). Stretching from North Carolina to Georgia, this region is among the most rural, economically depressed, and racially/ethnically diverse in the state. Research is needed to identify social factors contributing to adverse health outcomes along the I-95 corridor, guide interventions, and establish a baseline for measuring progress. This study assessed social determinants of health in counties in South Carolina's I-95 corridor relative to the rest of the state.

METHOD

Data for South Carolina's 46 counties were extracted from the Centers for Disease Control and Prevention Minority Health Social Vulnerability Index (SVI), which grouped 34 census variables into six themes: socioeconomic status, household composition and disability, minority status and language, housing type and transportation, health care infrastructure, and medical vulnerability. Each theme was ranked from 0 (least vulnerable) to 1 (most vulnerable). Measures between regions were compared using the Wilcoxon-Mann-Whitney test.

RESULTS

Compared with counties outside the I-95 corridor (n = 29), counties in the corridor (n = 17) scored higher on socioeconomic status vulnerability (.67 and .82, respectively) and medical vulnerability (.65 and .79, respectively). No statistically significant differences were found across other themes.

CONCLUSION

Identifying social determinants of health in South Carolina's I-95 corridor is a crucial first step toward alleviating health disparities in this region. Interventions and policies should be developed in collaboration with local stakeholders to address distal social factors that create and reinforce health disparities.

Racial and Ethnic Inequities in Cancer Care Continuity During the COVID-19 Pandemic Among Those With SARS-CoV-2

Importance

Racially and ethnically minoritized US adults were disproportionately impacted by the COVID-19 pandemic and experience poorer cancer outcomes, including inequities in cancer treatment delivery.

Objective

To evaluate racial and ethnic disparities in cancer treatment delays and discontinuations (TDDs) among patients with cancer and SARS-CoV-2 during different waves of the COVID-19 pandemic in the United States.

Design, Setting, and Participants

This cross-sectional study used data from the American Society of Clinical Oncology Survey on COVID-19 in Oncology Registry (data collected from April 2020 to September 2022), including patients with cancer also diagnosed with SARS-CoV-2 during their care at 69 US practices. Racial and ethnic differences were examined during 5 different waves of the COVID-19 pandemic in the United States based on case surge (before July 2020, July to November 2020, December 2020 to March 2021, April 2021 to February 2022, and March to September 2022).

Exposures

Race and ethnicity.

Main Outcomes and Measures

TDD was defined as any cancer treatment postponed more than 2 weeks or cancelled with no plans to reschedule. To evaluate TDD associations with race and ethnicity, adjusted prevalence ratios (aPRs) were estimated using multivariable Poisson regression, accounting for nonindependence of patients within clinics, adjusting for age, sex, body mass index, comorbidities, cancer type, cancer extent, and SARS-CoV-2 severity (severe defined as death, hospitalization, intensive care unit admission, or mechanical ventilation).

Results

A total of 4054 patients with cancer and SARS-CoV-2 were included (143 [3.5%] American Indian or Alaska Native, 176 [4.3%] Asian, 517 [12.8%] Black or African American, 469 [11.6%] Hispanic or Latinx, and 2747 [67.8%] White; 2403 [59.3%] female; 1419 [35.1%] aged 50-64 years; 1928 [47.7%] aged ≥65 years). The analysis focused on patients scheduled (at SARS-CoV-2 diagnosis) to receive drug-based therapy (3682 [90.8%]), radiation therapy (382 [9.4%]), surgery (218 [5.4%]), or transplant (30 [0.7%]), of whom 1853 (45.7%) experienced TDD. Throughout the pandemic, differences in racial and ethnic inequities based on case surge with overall TDD decreased over time. In multivariable analyses, non-Hispanic Black (third wave: aPR, 1.56; 95% CI, 1.31-1.85) and Hispanic or Latinx (third wave: aPR, 1.35; 95% CI, 1.13-1.62) patients with cancer were more likely to experience TDD compared with non-Hispanic White patients during the first year of the pandemic. By 2022, non-Hispanic Asian patients (aPR, 1.51; 95% CI, 1.08-2.12) were more likely to experience TDD compared with non-Hispanic White patients, and non-Hispanic American Indian or Alaska Native patients were less likely (aPR, 0.37; 95% CI, 0.16-0.89).

Conclusions and Relevance

In this cross-sectional study of patients with cancer and SARS-CoV-2, racial and ethnic inequities existed in TDD throughout the pandemic; however, the disproportionate burden among racially and ethnically minoritized patients with cancer varied across SARS-CoV-2 waves. These inequities may lead to downstream adverse impacts on cancer mortality among minoritized adults in the United States.

Racial and ethnic disparities in access to community-based perinatal mental health programs: results from a cross-sectional survey

BACKGROUND

Perinatal mental health is a major public health problem that disproportionately affects people from racial and ethnic minority groups. Community-based perinatal mental health programs, such as peer support groups, are essential tools for the prevention and treatment of perinatal depression. Yet, little is known about racial and ethnic disparities in accessibility and utilization of community-based perinatal mental health programs.

METHODS

We conducted a cross-sectional study using an online survey with program administrators representing perinatal mental health community-based services and support programs throughout New Jersey. Descriptive analysis and mapping software was used to analyze the data.

RESULTS

Thirty-three program administrators completed the survey. Results showed substantial racial and ethnic disparities in availability and utilization of community-based programs. In the majority of programs, Black, Hispanic, and Asian individuals made up less than 10% of total annual participants and less than 10% of facilitators. There were also geographic disparities in program accessibility and language availability across counties. Program administrators identified mental health stigma, lack of support from family, fear of disclosure of mental health challenges, social determinants, lack of language-concordant options in programs, and limited awareness of programs in the community as significant barriers to participation of racial and ethnic minorities. Strategies to address barriers included adding language options, improving program outreach, and increasing diversity of facilitators.

CONCLUSIONS

This study provides new evidence on racial and ethnic disparities in access to community-based perinatal mental health programs. Efforts to build the resources and capacities of community-based programs to identify equity gaps, increase diversity of staff, and address barriers to participation is critical to reducing racial and ethnic inequities in perinatal mental health.

Race, Social Determinants of Health, and Risk of All-Cause and Cardiovascular Mortality in the United States

OBJECTIVE

To examine the independent and interdependent effects of race and social determinants of health (SDoH) and risk of all-cause and cardiovascular disease (CVD) mortality in the US.

DATA SOURCE/STUDY DESIGN

Secondary analysis of pooled data for 252,218 participants of the 2006-2018 National Health Interview Survey, linked to the National Death Index.

METHODS

Age-adjusted mortality rates (AAMR) were reported for non-Hispanic White (NHW) and non-Hispanic Black (NHB) individuals overall, and by quintiles of SDoH burden, with higher quintiles representing higher cumulative social disadvantage (SDoH-Qx). Survival analysis was used to examine the association between race, SDoH-Qx, and all-cause and CVD mortality.

FINDINGS

AAMRs for all-cause and CVD mortality were higher for NHB and considerably higher at higher levels of SDoH-Qx, however, with similar mortality rates at any given level of SDoH-Qx. In multivariable models, NHB experienced 20-25% higher mortality risk relative to NHW (aHR = 1.20-1.26); however, no association was observed after adjusting for SDoH. In contrast, higher SDoH burden was associated with up to nearly threefold increased risk of all-cause (aHR, Q5 vs Q1 = 2.81) and CVD mortality (aHR, Q5 vs Q1 = 2.90); the SDoH effect was observed similarly for NHB (aHR, Q5:all-cause mortality = 2.38; CVD mortality = 2.58) and NHW (aHR, Q5:all-cause mortality = 2.87; CVD mortality = 2.93) subgroups. SDoH burden mediated 40-60% of the association between NHB race and mortality.

CONCLUSIONS

These findings highlight the critical role of SDoH as upstream drivers of racial inequities in all-cause and CVD mortality. Population level interventions focused on addressing adverse SDoH experienced by NHB individuals may help mitigate persistent disparities in mortality in the US.

Negotiating cancer alone: A qualitative study exploring care experiences of racially and ethnically diverse women diagnosed with breast cancer during COVID-19

COVID-19 has critically impacted cancer care services including reduced screenings, diagnoses, and surgeries; particularly among Black and Latina/x women who already suffer worse outcomes. This qualitative study explored the care experiences of a diverse sample of breast cancer survivors (N = 21; 7 Black, 4 Hispanic, 10 White) undergoing treatment during the pandemic via online semi-structured interviews. Grounded theory analysis yielded the core category "negotiating cancer alone," that included: (1) psychological distress, negotiating the cancer trajectory in isolation; (2) provider/healthcare system diagnostic and treatment delays; (3) heightened anxiety about treatment delays causing cancer progression; (4) supportive care limitations; and (5) disparate experiences of cancer care disruptions. Black and Latina/x women described greater delays in care, financial challenges, treatment complications, and insurance limitations than White women. The study identifies cancer patients' pandemic-related psychological, healthcare system, and health equity challenges and suggests recommendations to support their increased psychological needs during oncologic care disruptions.

Ending the HIV Epidemic in Black America: Qualitative Insights Following COVID-19

BACKGROUND

The disproportionate effects of the human immunodeficiency virus (HIV) and the Coronavirus 2019 (COVID-19) on Black American communities highlight structural systems rooted in racism and must be addressed with national strategies that improve both biomedicine and social determinants of health.

PURPOSE

The purpose of this study was to qualitatively examine the experiences and interpretations of experts in the HIV workforce (local, state, and national HIV-related organizations) regarding the state of HIV and COVID-19 among Black Americans.

METHODS

Within key informant interviews and a focus group recorded and transcribed verbatim, fifteen members of the HIV workforce and Black community described their experiences and provided insights to inform ending the negative outcomes resulting from HIV and COVID-19.

RESULTS

Data were analyzed using NVivo software, and eight themes emerged to address disease disproportionality through a Black lens. Themes reflected (1) accessing information and care; (2) key potential partners/stakeholders; (3) investing in Black communities; (4) governmental support; (5) increasing engagement and advocacy; (6) HIV-related community conversations; (7) developments since COVID-19; and (8) the Ending the HIV Epidemic (EHE) trajectory.

CONCLUSIONS

Themes directly speak to recommendations to adjust education and policy strategies for HIV and COVID-19 prevention and intervention. Such recommendations, (1) amplifying Black voices, (2) investing sustainable dollars into Black communities, and (3) leaning into advocacy, can bolster the foundation for the HIV workforce and Black community to break ineffective response patterns and lead the fight against these systemic issues of inequity.

Body mass index changes and their association with SARS-CoV-2 infection: a real-world analysis

Objective

To study body mass index (BMI) changes among individuals aged 18-99 years with and without SARS-CoV-2 infection.

Subjects/Methods

Using real-world data from the OneFlorida+ Clinical Research Network of the National Patient-Centered Clinical Research Network, we compared changes over time in BMI in an Exposed cohort (positive SARS-CoV-2 test between March 2020 - January 2022), to a contemporary Unexposed cohort (negative SARS-CoV-2 tests), and an age/sex-matched Historical control cohort (March 2018 - January 2020). Body mass index (kg/m2) was retrieved from objective measures of height and weight in electronic health records. We used target trial approaches to estimate BMI at baseline and change per 100 days of follow-up for Unexposed and Historical cohorts relative to the Exposed cohort by categories of sex, race-ethnicity, age, and hospitalization status.

Results

The study sample consisted of 44,436 (Exposed cohort), 164,118 (Unexposed cohort), and 41,189 (Historical cohort). Cumulatively, 62% were women, 21.5% Non-Hispanic Black, 21.4% Hispanic and 5.6% Non-Hispanic Other. Patients had an average age of 51.9 years (SD: 18.9). At baseline, relative to the Exposed cohort (mean BMI: 29.3 kg/m2 [95%CI: 29.0, 29.7]), the Unexposed (-0.07 kg/m2 [95%CI; -0.12, -0.01]) and Historical controls (-0.27 kg/m2 [95%CI; -0.34, -0.20]) had lower BMI. Relative to no change in the Exposed over 100 days (0.00 kg/m2 [95%CI; -0.03,0.03]), the BMI of those Unexposed decreased (-0.04 kg/m2 [95%CI; -0.06, -0.01]) while the Historical cohort's BMI increased (+0.03 kg/m2 [95%CI;0.00,0.06]). BMI changes were consistent between Exposed and Unexposed cohorts for most population groups, except at start of follow-up period among Males and those 65 years or older, and in changes over 100 days among Males and Hispanics.

Conclusions

In a diverse real-world cohort of adults, mean BMI of those with and without SARS-CoV2 infection varied in their trajectories. The mechanisms and implications of weight retention following SARS-CoV-2 infection remain unclear.

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.

Inequality in COVID-19 mortality in Quebec associated with neighbourhood-level vulnerability domains

OBJECTIVES

We measured disparities in COVID-19 mortality associated with increasing vulnerability to severe outcomes of infectious disease at the neighbourhood level to identify domains for prioritization of public interventions.

METHODS

In this retrospective ecological study, we calculated COVID-19 mortality rate ratios (RR) comparing neighbourhoods with the greatest vulnerability relative to lowest vulnerability using the five domains from the COVID-19 vulnerability index for Quebec using hospital data from the first year of the pandemic and vulnerability levels from 13,182 neighbourhoods. We estimated the attributable fraction to assess disparities in COVID-19 mortality associated with vulnerability. Domains covered biological susceptibility, sociocultural characteristics, socioeconomic characteristics, and indoor and outdoor risk factors for exposure to SARS-CoV-2.

RESULTS

Vulnerable neighbourhoods accounted for 60.7% of COVID-19 deaths between March 2020 and February 2021. Neighbourhoods with biological susceptibility accounted for 46.1% and indoor exposure for 44.6% of deaths. Neighbourhoods with socioeconomic vulnerability experienced 23.5%, outdoor exposure 14.6%, and sociocultural vulnerability 9.0% of deaths. Neighbourhoods with high relative vulnerability had 4.66 times greater risk of COVID-19 mortality compared with those with low vulnerability (95%CI 3.82-5.67). High vulnerability in the biological (RR 3.33; 95%CI 2.71-4.09), sociocultural (RR 1.50; 95%CI 1.27-1.77), socioeconomic (RR 2.08; 95%CI 1.75-2.48), and indoor (RR 3.21; 95%CI 2.74-3.76) exposure domains were associated with elevated risks of mortality compared with the least vulnerable neighbourhoods. Outdoor exposure was unassociated with mortality (RR 1.17; 95%CI 0.96-2.43).

CONCLUSION

Public intervention to protect vulnerable populations should be adapted to focus on domains most associated with COVID-19 mortality to ensure addressing local needs.

Excess Mortality in the United States, 2020-21: County-level Estimates for Population Groups and Associations with Social Vulnerability

To assess the excess mortality burden of Covid-19 in the United States, we estimated sex, age and race stratified all-cause excess deaths in each county of the US during 2020 and 2021. Using spatial Bayesian models trained on all recorded deaths between 2003-2019, we estimated 463,187 (95% uncertainty interval (UI): 426,139 - 497,526) excess deaths during 2020, and 544,105 (95% UI: 492,202 - 592,959) excess deaths during 2021 nationally, with considerable geographical heterogeneity. Excess mortality rate (EMR) nearly doubled for each 10-year increase in age and was consistently higher among men than women. EMR in the Black population was 1.5 times that of the White population nationally and as high as 3.8 times in some states. Among the 25-54 year population excess mortality was highest in the American Indian/Alaskan Native (AI/AN) population among the four racial groups studied, and in a few states was as high as 6 times that of the White population. Strong association of EMR with county-level social vulnerability was estimated, including positive associations with prevalence of disability (standardized effect: 40.6 excess deaths per 100,000), older population (37.6), poverty (23.6), and unemployment (18.5), whereas population density (-50), higher education (-38.6), and income (-35.4) were protective. Together, these estimates provide a more reliable and comprehensive understanding of the mortality burden of the pandemic in the US thus far. They suggest that Covid-19 amplified social and racial disparities. Short-term measures to protect more vulnerable groups in future Covid-19 waves and systemic corrective steps to address long-term societal inequities are necessary.

Assessing the Relationship between Radiology Department Research Funding and Institutional Community Inclusion and Investment

Background Health care access disparities and lack of inclusion in clinical research have been well documented for marginalized populations. However, few studies exist examining the research funding of institutions that serve historically underserved groups. Purpose To assess the relationship between research funding awarded to radiology departments by the National Institutes of Health (NIH) and Lown Institute Hospitals Index rankings for inclusivity and community benefit. Materials and Methods This retrospective study included radiology departments awarded funding from the NIH between 2017 and 2021. The 2021 Lown Institute Hospitals Index rankings for inclusivity and community benefit were examined. The inclusivity metric measures how similar a hospital's patient population is to the surrounding community in terms of income, race and ethnicity, and education level. The community benefit metric measures charity care spending, Medicaid as a proportion of patient revenue, and other community benefit spending. Linear regression and Pearson correlation coefficients (r values) were used to evaluate the relationship between aggregate NIH radiology department research funding and measures of inclusivity and community benefit. Results Seventy-five radiology departments that received NIH funding ranging from $195 000 to $216 879 079 were included. A negative correlation was observed between the amount of radiology department research funding received and institutional rankings for serving patients from racial and/or ethnic minorities (r = -0.34; P < .001), patients with low income (r = -0.44; P < .001), and patients with lower levels of education (r = -0.46; P < .001). No correlation was observed between the amount of radiology department research funding and institutional rankings for charity care spending (r = -0.19; P = .06), community investment (r = -0.04; P = .68), and Medicaid as a proportion of patient revenue (r = -0.10; P = .22). Conclusion Radiology departments that received more NIH research funding were less likely to serve patients from racial and/or ethnic minorities and patients who had low income or lower levels of education. © RSNA, 2024 See also the editorial by Mehta and Rosen in this issue.

The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

This study described spatiotemporal changes in health insurance coverage, healthcare access, and reasons for non-insurance among racial/ethnic minority populations in the United States during the COVID-19 pandemic using four national survey datasets. Getis-Ord Gi* statistic and scan statistics were used to analyze geospatial clusters of health insurance coverage by race/ethnicity. Logistic regression was used to estimate odds of reporting inability to access healthcare across two pandemic time periods by race/ethnicity. Racial/ethnic differences in insurance were observed from 2010 through 2019, with the lowest rates being among Hispanic/Latino, African American, American Indian/Alaska Native, and Native Hawaiian/Pacific Islander populations. Pre-pandemic insurance coverage rates were geographically clustered. The percentage of adults citing change in employment status as the reason for non-insurance increased by about 7% after the start of the pandemic, with a small decrease observed among African American adults. Almost half of adults reported reduced healthcare access in June 2020, with 38.7% attributing reduced access to the pandemic; however, by May 2021, the percent of respondents reporting reduced access for any reason and due to the pandemic fell to 26.9% and 12.7%, respectively. In general, racial/ethnic disparities in health insurance coverage and healthcare access worsened during the pandemic. Although coverage and access improved over time, pre-COVID disparities persisted with African American and Hispanic/Latino populations being the most affected by insurance loss and reduced healthcare access. Cost, unemployment, and eligibility drove non-insurance before and during the pandemic.

Review of health research and data on/with racially minoritised groups: Implications for addressing racism and racial disparities in public health practice and policies in Europe: a study protocol

Historically, across Europe, data and research on/with racially minoritised groups have not been collected or carried out in a sufficient, adequate, or appropriate manner. Yet, to understand emerging and existing health disparities among such groups, researchers and policymakers must obtain and use data to build evidence that informs decision-making and action on key structural and social determinants of health. This systematic search and review aims to contribute to closing this gap and promote a race-conscious approach to health research, strengthening the utilisation and deployment of data and research on/with racially minoritised groups in Europe. Its ultimate goal is to improve equality and equity in health*. Concretely, the study will do so by reviewing and critically analysing the usage of the concepts of race, ethnicity, and their related euphemisms and proxies in health-related research. It will examine the collection, use, and deployment of data and research on/with racially minoritised groups in this area. The study will focus on Belgium, France, and the Netherlands, three countries with graphical proximity and several similarities, one of which is the limited attention that is given to racism and racial inequalities in health in research and policy. This choice is also justified by practical knowledge of the context and languages. The results of the review will be used to develop guidance on how to use and deploy data and research on/with racially minoritised groups. The review is part of a larger project which aims to promote race-conscious research and data. The project does this by a three-pronged approach which: 1) highlights the need for a race-conscious approach when collecting and using data, carrying out research on/with racially minoritised groups; 2) builds expertise for their effective use and deployment, and; 3) creates a knowledge network and community of practice for public health researchers working in Europe.

Neighborhood Factors Associated with COVID-19 Cases in California

BACKGROUND

There is a need to assess neighborhood-level factors driving COVID-19 disparities across racial and ethnic groups.

OBJECTIVE

To use census tract-level data to investigate neighborhood-level factors contributing to racial and ethnic group-specific COVID-19 case rates in California.

DESIGN

Quasi-Poisson generalized linear models were used to identify neighborhood-level factors associated with COVID-19 cases. In separate sequential models for Hispanic, Black, and Asian, we characterized the associations between neighborhood factors on neighborhood COVID-19 cases. Subanalyses were conducted on neighborhoods with majority Hispanic, Black, and Asian residents to identify factors that might be unique to these neighborhoods. Geographically weighted regression using a quasi-Poisson model was conducted to identify regional differences.

MAIN MEASURES

All COVID-19 cases and tests reported through January 31, 2021, to the California Department of Public Health. Neighborhood-level data from census tracts were obtained from American Community Survey 5-year estimates (2015-2019), United States Census (2010), and United States Department of Housing and Urban Development.

KEY RESULTS

The neighborhood factors associated with COVID-19 case rate were racial and ethnic composition, age, limited English proficiency (LEP), income, household size, and population density. LEP had the largest influence on the positive association between proportion of Hispanic residents and COVID-19 cases (- 2.1% change). This was also true for proportion of Asian residents (- 1.8% change), but not for the proportion of Black residents (- 0.1% change). The influence of LEP was strongest in areas of the Bay Area, Los Angeles, and San Diego.

CONCLUSION

Neighborhood-level contextual drivers of COVID-19 burden differ across racial and ethnic groups.

The Evolution of Excess Deaths in the United States During the First 2 Years of the COVID-19 Pandemic

Understanding consequences of the COVID-19 pandemic requires information on the excess mortality resulting from it. Multiple studies have examined excess deaths during the pandemic's initial stages, but how these have changed over time is unclear. National- and state-level death counts and population data from 2009 to 2022 were used in this analysis to evaluate excess fatalities from March 2020 to February 2021 and March 2021 to February 2022, with deaths from earlier years used to project baseline counts. The outcomes were total, group-specific, cause-specific, and age-by-cause excess fatalities, and numbers and percentages directly involving COVID-19. Excess deaths declined from 655,735 (95% confidence interval: 619,028, 691,980) during the first pandemic year to 586,505 (95% confidence interval: 532,823, 639,205) in the second. The reductions were particularly large for Hispanics, Blacks, Asians, seniors, and residents of states with high vaccination rates. Excess deaths increased from the first to second year for persons younger than 65 years and in low-vaccination states. Excess mortality from some diseases declined, but those from alcohol, drug, vehicle, and homicide causes likely increased between the first and second pandemic year, especially for prime-age and younger individuals. The share of excess fatalities involving COVID-19 decreased modestly over time, with little change in its role as an underlying versus contributing cause of death.

A roadmap for social determinants of health and biological nursing research in the National Institute of Nursing Research 2022-2026 Strategic Plan: Optimizing health and advancing health equity using antiracist framing

BACKGROUND

Health equity is essential for improving the well-being of all individuals and groups, and research remains a critical element for understanding barriers to health equity. While considering how to best support research that acknowledges current health challenges, it is crucial to understand the role of social justice frameworks within health equity research and the contributions of minoritized researchers. Additionally, there should be an increased understanding of the influence of social determinants of health on biological mechanisms.

PURPOSE

Biological health equity research seeks to understand and address health disparities among historically excluded populations.

DISCUSSION

While there are examples of studies in this area led by minoritized researchers, some individuals and groups remain understudied due to underfunding. Research within minoritized populations must be prioritized to authentically achieve health equity. Furthermore, there should be increased funding from National Institutes of Health to support minoritized researchers working in this area.

Rethinking Immunological Risk: A Retrospective Cohort Study of Severe SARS-Cov-2 Infections in Individuals With Congenital Immunodeficiencies

BACKGROUND

Debates on the allocation of medical resources during the coronavirus disease 2019 (COVID-19) pandemic revealed the need for a better understanding of immunological risk. Studies highlighted variable clinical outcomes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in individuals with defects in both adaptive and innate immunity, suggesting additional contributions from other factors. Notably, none of these studies controlled for variables linked with social determinants of health.

OBJECTIVE

To determine the contributions of determinants of health to risk of hospitalization for SARS-CoV-2 infection among individuals with inborn errors of immunodeficiencies.

METHODS

This is a retrospective, single-center cohort study of 166 individuals with inborn errors of immunity, aged 2 months through 69 years, who developed SARS-CoV-2 infections from March 1, 2020, through March 31, 2022. Risks of hospitalization were assessed using a multivariable logistic regression analysis.

RESULTS

The risk of SARS-CoV-2-related hospitalization was associated with underrepresented racial and ethnic populations (odds ratio [OR] 4.50; 95% confidence interval [95% CI] 1.57-13.4), a diagnosis of any genetically defined immunodeficiency (OR 3.32; 95% CI 1.24-9.43), obesity (OR 4.24; 95% CI 1.38-13.3), and neurological disease (OR 4.47; 95% CI 1.44-14.3). The COVID-19 vaccination was associated with reduced hospitalization risk (OR 0.52; 95% CI 0.31-0.81). Defects in T cell and innate immune function, immune-mediated organ dysfunction, and social vulnerability were not associated with increased risk of hospitalization after controlling for covariates.

CONCLUSIONS

The associations between race, ethnicity, and obesity with increased risk of hospitalization for SARS-CoV-2 infection indicate the importance of variables linked with social determinants of health as immunological risk factors for individuals with inborn errors of immunity.

Association of Social Vulnerability and COVID-19 Mortality Rates in Texas between 15 March 2020, and 21 July 2022: An Ecological Analysis

BACKGROUND

Despite the key role of social vulnerability such as economic disadvantage in health outcomes, research is limited on the impact of social vulnerabilities on COVID-19-related deaths, especially at the state and county level in the USA.

METHODS

We conducted a cross-sectional ecologic analysis of COVID-19 mortality by the county-level Minority Health Social Vulnerability Index (MH SVI) and each of its components in Texas. Negative binomial regression (NBR) analyses were used to estimate the association between the composite MH SVI (and its components) and COVID-19 mortality.

RESULTS

A 0.1-unit increase in the overall MH SVI (IRR, 1.27; 95% CI, 1.04-1.55; p = 0.017) was associated with a 27% increase in the COVID-19 mortality rate. Among the MH SVI component measures, only low socioeconomic status (IRR, 1.55; 95% CI, 1.28-1.89; p = 0.001) and higher household composition (e.g., proportion of older population per county) and disability scores (IRR, 1.47; 95% CI, 1.29-1.68; p < 0.001) were positively associated with COVID-19 mortality rates.

CONCLUSIONS

This study provides further evidence of disparities in COVID-19 mortality by social vulnerability and can inform decisions on the allocation of social resources and services as a strategy for reducing COVID-19 mortality rates and similar pandemics in the future.

Racial Capitalism and Neighborhood Health Disparities: the COVID-19 in California Counties

PURPOSE

This article explores the association between racial capitalism and neighborhood-level health disparities, with a particular focus on COVID-19 in California.

METHODS

This article investigates COVID-19 incidence in 58 California counties. To account for racial capitalism, the study looks at the per capita incomes ratios (1) between whites and Blacks and (2) between whites and Hispanics. Other county-level neighborhood characteristics were controlled.

RESULTS

Findings from spatial autoregressive models indicate that increases in white-Black and white-Hispanic income disadvantages lead to an increase in COVID-19 incidence in 58 California counties. Findings also reveal that the disadvantage that results from the white-Black income ratio in COVID-19 spread decreases in counties that report high levels of income inequality between whites and Hispanics.

DISCUSSION

Findings indicate that a greater income disadvantage for racial minorities is connected to a more COVID-19 incidence. With regard to racial demographics in California, the interaction effect between measures for racial income disadvantages is discussed.

A national examination of discrimination, resilience, and depressive symptoms during the COVID-19 pandemic: the All of Us Research Program

Objective

To examine the impact of resilience on the association between discrimination and trajectories of depressive symptoms during the COVID-19 pandemic across racial and ethnic groups.

Methods

Data were drawn from 5 waves of the All of Us Research Program's survey on the impact of COVID-19 on the lives of American adults. Linear mixed-effects models were fitted to assess the association between discrimination exposure throughout the pandemic and depressive symptoms over time. An interaction term was introduced between resilience and discrimination exposure to assess if resilience buffered the association between discrimination and depressive symptoms over time. Race-stratified linear mixed-effects models examined racial/ethnic differences in the association between resilience, discrimination, and depressive symptoms over time.

Results

Fifty-one thousand nine hundred fifty-eight participants completed surveys between May and December of 2020. Results indicated that exposure to more discrimination was associated with increasing trajectories of depressive symptoms over time (b = 0.48, p < 0.001). However, resilience moderated the association between discrimination and well-being over time such that higher resilience mitigated the detrimental effect of experiencing discrimination on depressive symptoms across time (b = -0.02, p < 0.001).

Conclusion

Identifying protective features such as resilience can promote the development of culturally tailored interventions to address mental health in the context of discrimination.

Racial-ethnic, gender identity, and sexual orientation disparities in COVID-19-related social and health outcomes: A decomposition analysis

Despite the growing literature on racial-ethnic disparities during the pandemic, less is known about the explanatory mechanisms of these disparities and inequalities across other axes, such as gender and sexual identities. We studied the levels and sources of racial-ethnic, gender identity, and sexual minority disparities in social (i.e., unmet resource needs) and health (i.e., hospitalization) outcomes among individuals diagnosed with COVID-19, hypothesizing differential age structure, underlying health, and work and living arrangements as contributors to inequalities. Using large-scale administrative data from Chicago and adjusting for covariates, we found substantial racial-ethnic and gender identity disparities in both outcomes, and weak evidence of sexual minority disparities in unmet needs. Subsequent decomposition analyses revealed that living in larger households, having a higher share of non-adult cases, and facing higher burdens of chronic illness, obesity, and unemployment each statistically significantly drove racial-ethnic disparities in unmet needs, but these together explained less than 15% of the disparities. Similarly, about 20% of the Black-White gap in hospitalization resulted from disparities in underlying health and unemployment, whereas a higher proportion of non-adult cases or higher unemployment rates respectively proved the only significant pathways to partially explain transgender individuals' disadvantages in unmet needs (12%) or hospitalization (6%). These findings highlight the importance of considering multiple dimensions of social differences in studying health disparities, the vulnerabilities of transgender and non-adult communities during the pandemic, and the valid yet quite limited roles of previously suggested sociodemographic factors in accounting for COVID-19-related categorical inequalities.

Stakeholder Perspectives on Data-Driven Solutions to Address Cardiovascular Disease and Health Equity in New York City

Introduction

There is growing recognition of the importance of addressing the social determinants of health in efforts to improve health equity. In dense urban environments such as New York City, disparities in chronic health conditions (e.g., cardiovascular disease) closely mimic inequities in social factors such as income, education, and housing. Although there is a wealth of data on these social factors in New York City, little is known about how to rapidly use available data sources to address health disparities.

Methods

Semistructured interviews were conducted with key stakeholders (N=11) from across the public health landscape in New York City (health departments, healthcare delivery systems, and community-based organizations) to assess perspectives on how social determinants of health data can be used to address cardiovascular disease and health equity, what data-driven tools would be useful, and challenges to using these data sources and developing tools. A matrix analysis approach was used to analyze the interview data.

Results

Stakeholders were optimistic about using social determinants of health data to address health equity by delivering holistic care, connecting people with additional resources, and increasing investments in under-resourced communities. However, interviewees noted challenges related to the quality and timeliness of social determinants of health data, interoperability between data systems, and lack of consistent metrics related to cardiovascular disease and health equity.

Conclusions

Future research on this topic should focus on mitigating the barriers to using social determinants of health data, which includes incorporating social determinants of health data from other sectors. There is also a need to assess how data-driven solutions can be implemented within and across communities and organizations.

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.

Longitudinal disparities in social determinants of health and COVID-19 incidence and mortality in the United States from the three largest waves of the pandemic

The United States experienced at least five COVID-19 waves linked with different mutated SARS-CoV-2 variants including Alpha, Delta and Omicron. In addition to the variants, the intensity, geographical distribution, and risk factors related to those waves also vary within socio-demographic characteristics and timeframes. In this project, we have examined the spatial and temporal pattern of COVID-19 in the USA and its associations with Social Determinants of Health (SDoH) by utilizing the County Health Rankings & Roadmaps (CHRR) dataset. Our epidemiologic investigation at the county level showed that the burden of COVID-19 cases and deaths is higher in counties with high percentages of smoking, number of preventable hospital stays, primary care physician rate, the average daily density of PM_2.5 and percentages of high proportions of Hispanic residents. In addition, the analysis also demonstrated that COVID-19 incidence and mortality had distinct characteristics in their association with SDoH variables. For example, the percentages of the population 65 and older had negative associations with incidence while a significant positive association with mortality. In addition to the elderly population, median household income, unemployment, and number of drug overdose deaths showed a mixed association with COVID-19 incidence and mortality. Our findings validate several influential factors found in the existing social epidemiology literature and highlight temporal associations between SDoH variables and COVID-19 incidence and mortality not yet frequently studied.

Racial differences in COVID-19 severity associated with history of substance use disorders and overdose: Findings from multi-site electronic health records in New York City

Substance use disorders (SUD) are associated with increased risk of worse COVID-19 outcomes. Likewise, racial/ethnic minority patients experience greater risk of severe COVID-19 disease compared to white patients. Providers should understand the role of race and ethnicity as an effect modifier on COVID-19 severity among individuals with SUD. This retrospective cohort study assessed patient race/ethnicity as an effect modifier of the risk of severe COVID-19 disease among patients with histories of SUD and overdose. We used merged electronic health record data from 116,471 adult patients with a COVID-19 encounter between March 2020 and February 2021 across five healthcare systems in New York City. Exposures were patient histories of SUD and overdose. Outcomes were risk of COVID-19 hospitalization and subsequent COVID-19-related ventilation, acute kidney failure, sepsis, and mortality. Risk factors included patient age, sex, and race/ethnicity, as well as medical comorbidities associated with COVID-19 severity. We tested for interaction between SUD and patient race/ethnicity on COVID-19 outcomes. Findings showed that Non-Hispanic Black, Hispanic/Latino, and Asian/Pacific Islander patients experienced a higher prevalence of all adverse COVID-19 outcomes compared to non-Hispanic white patients. Past-year alcohol (OR 1.24 [1.01-1.53]) and opioid use disorders (OR 1.91 [1.46-2.49]), as well as overdose history (OR 4.45 [3.62-5.46]), were predictive of COVID-19 mortality, as well as other adverse COVID-19 outcomes. Among patients with SUD, significant differences in outcome risk were detected between patients of different race/ethnicity groups. Findings indicate that providers should consider multiple dimensions of vulnerability to adequately manage COVID-19 disease among populations with SUDs.

Association Between Racial Segregation and COVID-19 Vaccination Rates

OBJECTIVE

To examine the association between county-level Black-White residential segregation and COVID-19 vaccination rates.

DESIGN

Observational cross-sectional study using multivariable generalized linear models with state fixed effects to estimate the average marginal effects of segregation on vaccination rates.

SETTING

National analysis of county-level vaccination rates.

MAIN OUTCOME MEASURE

County-level vaccination rates across the United States.

RESULTS

We found an overall positive association between county-level segregation and the proportion population fully vaccinated, with a 6.8, 11.3, and 12.8 percentage point increase in the proportion fully vaccinated by May 3, September 27, and December 6, 2021, respectively. Effects were muted after adjustment for sociodemographic variables. Furthermore, in analyses including an interaction term between the county proportion of Black residents and the county dissimilarity index, the association between segregation and vaccination is positive in counties with a lower proportion of Black residents (ie, 5%) but negative in counties with the highest proportions of Black residents (ie, 70%).

CONCLUSIONS

Findings highlight the importance of methodological decisions when modeling disparities in COVID-19 vaccinations. Researchers should consider mediating and moderating factors and examine interaction effects and stratified analyses taking racial group distributions into account. Results can inform policies around the prioritization of vaccine distribution and outreach.

The effectiveness of COVID deaths to COVID policies: A robust conditional approach

This paper examines the effectiveness of four major COVID-19 social distancing policies, (i) shelter-in-place orders (SIPO), (ii) non-essential business closures, (iii) mandatory quarantine for travelers, and (iv) bans on large gatherings, on both COVID cases and COVID deaths. Results indicate that states are highly ineffective in producing the fraction of the population that does not have COVID-19 or the fraction of the population that does not die from COVID-19. We find that having any form of social distancing policies increases the fraction of the population not considered a positive COVID-19 case by 23.5 percentage points. Results also show that having any of the four major social distancing policies reduces the fraction of the population who has died of COVID-19 by 1.3 percentage points between March 1, 2020 and September 1, 2020; during the first 100 days, effectiveness would improve by 2.1 percentage points. Evidence suggests that there is no effective uniform national COVID-19 social distancing policy. Furthermore, conditional efficiency regressions after 100 days suggest that behavioral noncompliance and premature expiration of social distancing policies both negatively impact effectiveness. Partial regression plots suggest that bans on large gatherings and the closure of non-essential businesses were the two most impactful COVID-19 social distancing policies.

Rethinking immunologic risk: a retrospective cohort study of severe SARS-CoV-2 infections in individuals with congenital immunodeficiencies

Background

Debates on the allocation of medical resources during the COVID-19 pandemic revealed the need for a better understanding of immunologic risk. Studies highlighted variable clinical outcomes of SARS-CoV-2 infections in individuals with defects in both adaptive and innate immunity, suggesting additional contributions from other factors. Notably, none of these studies controlled for variables linked with social determinants of health.

Objective

To determine the contributions of determinants of health to risk of hospitalization for SARS-CoV-2 infection among individuals with inborn errors of immunodeficiencies.

Methods

This is a retrospective, single-center cohort study of 166 individuals with inborn errors of immunity, aged two months through 69 years, who developed SARS-CoV-2 infections from March 1, 2020 through March 31, 2022. Risks of hospitalization was assessed using a multivariable logistic regression analysis.

Results

The risk of SARS-CoV-2-related hospitalization was associated with underrepresented racial and ethnic populations (odds ratio [OR] 5.29; confidence interval [CI], 1.76-17.0), a diagnosis of any genetically-defined immunodeficiency (OR 4.62; CI, 1.60-14.8), use of B cell depleting therapy within one year of infection (OR 6.1; CI, 1.05-38.5), obesity (OR 3.74; CI, 1.17-12.5), and neurologic disease (OR 5.38; CI, 1.61-17.8). COVID-19 vaccination was associated with reduced hospitalization risk (OR 0.52; CI, 0.31-0.81). Defective T cell function, immune-mediated organ dysfunction, and social vulnerability were not associated with increased risk of hospitalization after controlling for covariates.

Conclusions

The associations between race, ethnicity, and obesity with increased risk of hospitalization for SARS-CoV-2 infection indicate the importance of variables linked with social determinants of health as immunologic risk factors for individuals with inborn errors of immunity.

Highlights

What is already known about this topic? Outcomes of SARS-CoV-2 infections in individuals with inborn errors of immunity (IEI) are highly variable. Prior studies of patients with IEI have not controlled for race or social vulnerability. What does this article add to our knowledge ? For individuals with IEI, hospitalizations for SARS-CoV-2 were associated with race, ethnicity, obesity, and neurologic disease. Specific types of immunodeficiency, organ dysfunction, and social vulnerability were not associated with increased risk of hospitalization. How does this study impact current management guidelines? Current guidelines for the management of IEIs focus on risk conferred by genetic and cellular mechanisms. This study highlights the importance of considering variables linked with social determinants of health and common comorbidities as immunologic risk factors.

Structural vulnerability as a conceptual framework for transgender health research: findings from a community needs assessment of transgender women of colour in Detroit

The concept of structural vulnerability explains how systems of oppression drive health inequities by reducing access to survival resources (e.g. food, housing) for marginalised populations. Indicators of structural vulnerability such as housing instability, violent victimisation and poverty are often interconnected and result from intersectional oppression. We sought to demonstrate the utility of the structural vulnerability framework for transgender health research by examining patterns of structural vulnerability indicators among transgender women of colour in Detroit. We conducted latent class analysis and tested associations between classes and mental health and substance use outcomes. Membership to the Lowest Vulnerability class was negatively associated with post-traumatic stress disorder (PTSD) (aOR = 0.10, 95% CI: 0.02-0.59). High Economic Vulnerability membership was associated with daily marijuana use (aOR = 4.61, 95% CI: 1.31-16.16). Complex Multi-Vulnerability membership was associated with PTSD (aOR = 9.75, 95% CI: 2.55-37.29), anxiety (aOR = 4.12, 95% CI: 1.22-13.97), suicidality (aOR = 6.20, 95% CI: 1.39-27.70), and club drug use (aOR = 4.75, 95% CI: 1.31-17.29). Substantively different findings emerged when testing relationships between each indicator and each outcome, highlighting the value of theoretically grounded quantitative approaches to understanding health inequities. Community-driven interventions and policy changes that reduce structural vulnerability may improve mental health and substance use outcomes among structurally vulnerable trans women of colour.

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.

Social Determinants of Health and Racial/Ethnic Disparities in COVID-19 Mortality at the County Level in the Commonwealth of Virginia

BACKGROUND

Mortality due to coronavirus disease-2019 (COVID-19) among Black and Hispanic populations is disproportionately high compared to white populations. This study aimed to explore the association between COVID-19 mortality and social determinants of health (SDOH) among Black and Hispanic populations in Virginia.

METHOD

County-level publicly available COVID-19 mortality data from Virginia, covariates, and SDOH indicators were used. An independent t-test and hierarchical multiple regression analysis were performed to assess the association between SDOH and COVID-19 death rates, with a focus on racial/ethnic disparities.

RESULTS

Counties in the lowest quartile had a mean death rate of 44.72 (SD = 13.8), while those in the highest quartile had a mean death rate of 239.02 (SD = 123.9) per 100, 000 people ( P < .001). Counties with the highest death rates had significantly lower mean socioeconomic status. The regression analysis revealed that 32% of the variance in the COVID-19 mortality rate was associated with SDOH after controlling for the covariates ( P < .01). Identifying as Hispanic ethnicity accounted for 8.5% of the variance, while median household income, being uninsured, and education accounted for 32.7%, 12.9%, and 7.1%, respectively.

CONCLUSIONS

The findings provide evidence that disparities in SDOH experienced by Hispanic populations play a significant role in increased COVID-19 mortality, thus highlighting the social needs of low-income, low-education, and Hispanic populations to advance equity in health outcomes.

Emotional wellbeing and coping among Latinx young adults in the time of COVID-19

The COVID-19 pandemic has disrupted the wellbeing of the general US population, but even more so among Latinx young adults. The current study provides a detailed picture of the emotional wellbeing and coping of Latinx young adults during the first summer of the pandemic. Six virtual focus groups (n = 21) were conducted between May and August of 2020 with a community-based sample of Latinx young adults to explore (1) how the pandemic affected wellbeing and (2) how they coped with pandemic-related stress. Contextualistic thematic analysis identified important themes and subthemes. Perceived stressors impacting emotional wellbeing yielded one overarching theme: COVID-related disruptions in the participants' environment. To manage this heightened stress, another overarching theme was self-care and intentionality during the pandemic. Future studies should examine the wellbeing of young adults across social contexts and at more recent stages of the pandemic. Findings from this study suggest culturally- and developmentally-tailored interventions are needed as this population navigates contextual stress during a sensitive period in their life.

Long COVID in the context of social determinants of health

The COVID-19 pandemic has been a challenge for the public health system and has highlighted health disparities. COVID-19 vaccines have effectively protected against infection and severe disease, but some patients continue to suffer from symptoms after their condition is resolved. These post-acute sequelae, or long COVID, continues to disproportionately affect some patients based on their social determinants of health (SDOH). This paper uses the World Health Organization's (WHO) SDOH conceptual framework to explore how SDOH influences long COVID outcomes.

Inclusion of Race and Ethnicity With Neighborhood Socioeconomic Deprivation When Assessing COVID-19 Hospitalization Risk Among California Veterans Health Administration Users

IMPORTANCE

Despite complexities of racial and ethnic residential segregation (hereinafter referred to as segregation) and neighborhood socioeconomic deprivation, public health studies, including those on COVID-19 racial and ethnic disparities, often rely on composite neighborhood indices that do not account for residential segregation.

OBJECTIVE

To examine the associations by race and ethnicity among California's Healthy Places Index (HPI), Black and Hispanic segregation, Social Vulnerability Index (SVI), and COVID-19-related hospitalization.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study included veterans with positive test results for COVID-19 living in California who used Veterans Health Administration services between March 1, 2020, and October 31, 2021.

MAIN OUTCOMES AND MEASURES

Rates of COVID-19-related hospitalization among veterans with COVID-19.

RESULTS

The sample available for analysis included 19 495 veterans with COVID-19 (mean [SD] age, 57.21 [17.68] years), of whom 91.0% were men, 27.7% were Hispanic, 16.1% were non-Hispanic Black, and 45.0% were non-Hispanic White. For Black veterans, living in lower-HPI (ie, less healthy) neighborhoods was associated with higher rates of hospitalization (odds ratio [OR], 1.07 [95% CI, 1.03-1.12]), even after accounting for Black segregation (OR, 1.06 [95% CI, 1.02-1.11]). Among Hispanic veterans, living in lower-HPI neighborhoods was not associated with hospitalization with (OR, 1.04 [95% CI, 0.99-1.09]) and without (OR, 1.03 [95% CI, 1.00-1.08]) Hispanic segregation adjustment. For non-Hispanic White veterans, lower HPI was associated with more frequent hospitalization (OR, 1.03 [95% CI, 1.00-1.06]). The HPI was no longer associated with hospitalization after accounting for Black (OR, 1.02 [95% CI, 0.99-1.05]) or Hispanic (OR, 0.98 [95% CI, 0.95-1.02]) segregation. Hospitalization was higher for White (OR, 4.42 [95% CI, 1.62-12.08]) and Hispanic (OR, 2.90 [95% CI, 1.02-8.23]) veterans living in neighborhoods with greater Black segregation and for White veterans in more Hispanic-segregated neighborhoods (OR, 2.81 [95% CI, 1.96-4.03]), adjusting for HPI. Living in higher SVI (ie, more vulnerable) neighborhoods was associated with greater hospitalization for Black (OR, 1.06 [95% CI, 1.02-1.10]) and non-Hispanic White (OR, 1.04 [95% CI, 1.01-1.06]) veterans.

CONCLUSIONS AND RELEVANCE

In this cohort study of US veterans with COVID-19, HPI captured neighborhood-level risk for COVID-19-related hospitalization for Black, Hispanic, and White veterans comparably with SVI. These findings have implications for the use of HPI and other composite neighborhood deprivation indices that do not explicitly account for segregation. Understanding associations between place and health requires ensuring composite measures accurately account for multiple aspects of neighborhood deprivation and, importantly, variation by race and ethnicity.

The Role of Functional Urban Areas in the Spread of COVID-19 Omicron (Northern Spain)

This study focuses on the space-time patterns of the COVID-19 Omicron wave at a regional scale, using municipal data. We analyze the Basque Country and Cantabria, two adjacent regions in the north of Spain, which between them numbered 491,816 confirmed cases in their 358 municipalities from 15th November 2021 to 31st March 2022. The study seeks to determine the role of functional urban areas (FUAs) in the spread of the Omicron variant of the virus, using ESRI Technology (ArcGIS Pro) and applying intelligence location methods such as 3D-bins and emerging hot spots. Those methods help identify trends and types of problem area, such as hot spots, at municipal level. The results demonstrate that FUAs do not contain an over-concentration of COVID-19 cases, as their location coefficient is under 1.0 in relation to population. Nevertheless, FUAs do have an important role as drivers of spread in the upward curve of the Omicron wave. Significant hot spot patterns are found in 85.0% of FUA area, where 98.9% of FUA cases occur. The distribution of cases shows a spatially stationary linear correlation linked to demographically progressive areas (densely populated, young profile, and with more children per woman) which are well connected by highways and railroads. Based on this research, the proposed GIS methodology can be adapted to other case studies. Considering geo-prevention and WHO Health in All Policies approaches, the research findings reveal spatial patterns that can help policymakers in tackling the pandemic in future waves as society learns to live with the virus.

Utilizing Publicly Available Community Data to Address Social Determinants of Health: A Compendium of Data Sources

To compile a compendium of data sources representing different areas of social determinants of health (SDOH) in New York City. We conducted a PubMed search of the peer-reviewed and gray literature using the terms "social determinants of health" and "New York City," with the Boolean operator "AND." We then conducted a search of the "gray literature," defined as sources outside of standard bibliographic databases, using similar terms. We extracted publicly available data sources containing NYC-based data. In defining SDOH, we used the framework outlined by the CDC's Healthy People 2030, which uses a place-based framework to categorize 5 domains of SDOH: (1) healthcare access and quality; (2) education access and quality; (3) social and community context; (4) economic stability; and (5) neighborhood and built environment. We identified 29 datasets from the PubMed search, and 34 datasets from the gray literature, resulting in 63 datasets related to SDOH in NYC. Of these, 20 were available at the zip code level, 18 at the census tract-level, 12 at the community-district level, and 13 at the census block or specific address level. Community-level SDOH data are readily attainable from many public sources and can be linked with health data on local geographic-levels to assess the effect of social and community factors on individual health outcomes.

Political Economy of the COVID-19 Pandemic: How State Policies Shape County-Level Disparities in COVID-19 Deaths

The authors examine how two state-level coronavirus disease 2019 (COVID-19) policy indices (one capturing economic support and one capturing stringency measures such as stay-at-home orders) were associated with county-level COVID-19 mortality from April through December 2020 and whether the policies were more beneficial for certain counties. Using multilevel negative binominal regression models, the authors found that high scores on both policy indices were associated with lower county-level COVID-19 mortality. However, the policies appeared to be most beneficial for counties with fewer physicians and larger shares of older adults, low-educated residents, and Trump voters. They appeared to be less effective in counties with larger shares of non-Hispanic Black and Hispanic residents. These findings underscore the importance of examining how state and local factors jointly shape COVID-19 mortality and indicate that the unequal benefits of pandemic policies may have contributed to county-level disparities in COVID-19 mortality.

Impact of the COVID-19 pandemic on children's sleep habits: an ECHO study

BACKGROUND

Sleep in childhood is affected by behavioral, environmental, and parental factors. We propose that these factors were altered during the COVID-19 pandemic. This study investigates sleep habit changes during the pandemic in 528 children 4-12 years old in the US, leveraging data from the Environmental Influences on Child Health Outcomes (ECHO) Program.

METHODS

Data collection occurred in July 2019-March 2020 (pre-pandemic) and two pandemic periods: December 2020-April 2021 and May-August 2021. Qualitative interviews were performed in 38 participants.

RESULTS

We found no changes in sleep duration, but a shift to later sleep midpoint during the pandemic periods. There was an increase in latency at the first pandemic collection period but no increase in the frequency of bedtime resistance, and a reduced frequency of naps during the pandemic. Qualitative interviews revealed that parents prioritized routines to maintain sleep duration but were more flexible regarding timing. Children from racial/ethnic minoritized communities slept less at night, had later sleep midpoint, and napped more frequently across all collection periods, warranting in-depth investigation to examine and address root causes.

CONCLUSIONS

The COVID-19 pandemic significantly impacted children sleep, but parental knowledge of the importance of sleep might have played a significant protective role.

IMPACT

During the COVID-19 pandemic, US children changed their sleep habits, going to bed and waking up later, but their sleep duration did not change. Sleep latency was longer. Parental knowledge of sleep importance might have played a protective role. Regardless of data collection periods, children from racial/ethnic minoritized communities slept less and went to bed later. This is one of the first study on this topic in the US, including prospective pre-pandemic qualitative and quantitative data on sleep habits. Our findings highlight the pandemic long-term impact on childhood sleep. Results warrants further investigations on implications for overall childhood health.

Assessing the role of collectivism and individualism on COVID-19 beliefs and behaviors in the Southeastern United States

America's unique response to the global COVID-19 pandemic has been both criticized and applauded across political and social spectrums. Compared to other developed nations, U.S. incidence and mortality rates were exceptionally high, due in part to inconsistent policies across local, state, and federal agencies regarding preventive behaviors like mask wearing and social distancing. Furthermore, vaccine hesitancy and conspiracy theories around COVID-19 and vaccine safety have proliferated widely, making herd immunity that much more challenging. What factors of the U.S. culture have contributed to the significant impact of the pandemic? Why have we not responded better to the challenges of COVID-19? Or would many people in the U.S. claim that we have responded perfectly well? To explore these questions, we conducted a qualitative and quantitative study of Florida State University faculty, staff, and students. This study measured their perceptions of the pandemic, their behaviors tied to safety and community, and how these practices were tied to beliefs of individualism and collectivism. We found that collectivist orientations were associated with a greater likelihood of wearing masks consistently, severe interruptions of one's social life caused by the pandemic, greater concern for infecting others, and higher levels of trust in medical professionals for behavioral guidelines surrounding the pandemic. These associations largely persist even after adjusting for political affiliation, which we find is also a strong predictor of COVID-19 beliefs and behaviors.

Association Between Race, Gender, and Pediatric Postoperative Outcomes: An Updated Retrospective Review

INTRODUCTION

There has not been a recent evaluation of the association between racial and gender and surgical outcomes in children. We aimed to evaluate improvements in race- and gender-related pediatric postoperative outcomes since a report utilizing the Kids' Inpatient Database data from 2003 to 2006.

METHODS

Using Kids' Inpatient Database (2009, 2012, 2016), we identified 245,976 pediatric patients who underwent appendectomy for acute appendicitis (93.6%), pyloromyotomy for pyloric stenosis (2.7%), empyema decortication (1.6%), congenital diaphragmatic hernia repair (0.7%), small bowel resection for intussusception (0.5%), or colonic resection for Hirschsprung disease (0.2%). The primary outcome was the development of postoperative complications. Multivariable logistic regression was used to evaluate risk-adjusted associations among race, gender, income, and postoperative complications.

RESULTS

Most patients were male (61.5%) and 45.7% were White. Postoperative complications were significantly associated with male gender (P < 0.0001) and race (P < 0.0001). After adjustment, Black patients were more likely to experience any complication than White patients (adjusted odds ratio 1.3, confidence interval 1.2-1.4), and males were more likely than females (adjusted odds ratio 1.3, confidence interval 1.2-1.4).

CONCLUSIONS

No clear progress has been made in eliminating race- or gender-based disparities in pediatric postoperative outcomes. New strategies are needed to better understand and address these disparities.

COVID-19 and Changes in Reported Social Risk Factors at a Primary Care Practice in the South Bronx

INTRODUCTION

Historically, Black and Hispanic patient populations in the Bronx Borough of New York City have experienced the highest rates of social risk factors, and associated poor health outcomes, in New York State. During the pandemic, Bronx communities disproportionately experienced high rates of COVID-19 illness and death. To date, little is known regarding the COVID-19 pandemic's impact on social risk factors in urban, at-risk communities. This study aimed to determine how social risk factors changed during the pandemic in a Bronx-based patient population.

METHODS

Study participants were adult patients seen at a Federally Qualified Health Center in the South Bronx. Using a paired longitudinal study design, 300 participants were randomly selected for telephonic outreach during the pandemic from a sample of 865 participants who had been offered a social risk factor screener in the year prior to the pandemic. The outreach survey used included the social risk factor screener and questions regarding COVID-19 illness burden and prior engagement in social services. The McNemar test was used to analyze trends in reported social risks.

RESULTS

Housing quality needs, food insecurity, and legal care needs significantly increased during the pandemic. Participants who reported COVID-19 illness burden were 1.47 times more likely to report a social risk factor (P = .02). No significant relationship was found between prior enrollment in clinic-based social services and degree of reported social risk (P = .06).

CONCLUSION

Housing quality needs, food insecurity, and legal care needs increased during the COVID-19 pandemic in a predominantly Black and Hispanic identifying urban patient population. Urgently addressing this increase is imperative to achieving health equity in ongoing COVID-19 mitigation efforts.

Post-Assault Health Care for Sexual Assault Survivors During COVID-19: A Mixed Methods Analysis of Service Rates in a Predominately African American Community

This study examined how the COVID-19 pandemic affected sexual assault healthcare services in a predominately African American U.S. city. In mixed methods research design, we used quantitative interrupted time series modeling to evaluate changes in service rates for three core post-assault healthcare services-medical forensic exams (MFEs), medical advocacy MFE accompaniment, and counseling-from January 2019 through June 2021. We also conducted qualitative interviews with 12 sexual assault advocates to understand how their clients were impacted by COVID and how their agency adapted services to respond to the needs of their community. Both the quantitative and qualitative data revealed marked disruptions in service provision. The number of MFEs, medical advocacy accompaniments, and counseling sessions significantly decreased during the pandemic's initial surge, and survivors feared seeking hospital-based health care due to concerns that they might contract COVID-19 in hospital emergency departments. The number of MFEs performed by program staff did not return to pre-pandemic levels during this study's observation period, but the number of medical advocacy accompaniments and counseling sessions did significantly rebound. Counseling services eventually exceeded pre-pandemic levels as agency staff supported clients with both assault- and COVID-related trauma and loss. These results underscore the need for community-based sexual assault healthcare services, so that if public health emergencies limit the availability, accessibility, and safety of hospital emergency department care, sexual assault survivors have other settings for obtaining post-assault health care.

Socio-demographic factors associated with hunger among food pantry users in Eastern Massachusetts

To assess the determinants of hunger among food pantry users, the present study used a cross-sectional survey that included a modified Household Hunger Scale to quantify hunger. Mixed-effects logistic regression models were used to assess the relationship between hunger categories and various household socio-demographic and economic characteristics, such as age, race, household size, marital status and experience of any economic hardship. The survey was administered to food pantry users from June 2018 to August 2018 at various food pantries across Eastern Massachusetts with 611 food pantry users completing the questionnaire at any of the 10 food pantry sites. One-fifth (20⋅13 %) of food pantry users experienced moderate hunger and 19⋅14 % experienced severe hunger. Food pantry users who were single, divorced or separated; had less than a high school education; working part-time, unemployed or retired; or, who earned incomes less than $1000 per month were most likely to experience severe or moderate hunger. Pantry users who experienced any economic hardship had 4⋅78 the adjusted odds of severe hunger (95 % CI 2⋅49, 9⋅19), which was much larger than the odds of moderate hunger (AOR 1⋅95; 95 % CI 1⋅10, 3⋅48). Younger age and participation in WIC (AOR 0⋅20; 95 % CI 0⋅05-0⋅78) and SNAP (AOR 0⋅53; 95 % CI 0⋅32-0⋅88) were protective against severe hunger. The present study illustrates factors affecting hunger in food pantry users, which can help inform public health programmes and policies for people in need of additional resources. This is essential particularly in times of increasing economic hardships recently exacerbated by the COVID-19 pandemic.

COVID 19 fatalities burden in Asian countries: An analysis of pattern and determinants

Covid 19 pandemic has severe implications on health and life of people. Asia being the most populous region has higher fatalities burden. Health infrastructure, stringent preventive measures by the government and public participation through adhering to social distancing have influence to check on fatalities' burden. The level of Social capital as well as voters' participation in a particular country can have influence on containment of COVID cases and fatalities. In this context, the main objectives of this study are to analyse pattern and trend of death burden for 45 Asian countries and impact of stringency measures by government, and voters' turnout ratio on death burden. However, for regression analysis only 32 countries are taken into account considering the availability of data for all variables. Multiple linear regression analysis is employed in a cross-sectional framework and Ordinary least square estimation technique with heteroscedastic adjusted standard errors have been used for estimation of coefficients. The results show that southern Asia contributes the highest share of fatality cases in total fatality cases of Asia with 71.43% share. It also has the highest share of confirmed cases in total confirmed cases of Asia with 71.72%. However, when we take the population into account, Western Asia leads in the share of confirmed COVID-19 cases and its associated fatality cases per million populations in Asia as compared to other Asian regions. The factors like health infrastructure and voters' turnover ratio are found to be significant and potential in reducing the new deaths per million populations. Though the coefficient of Stringency index has been negative and it did not emerge to be significant in Asian countries. The COVID related fatalities in Asian region are urban centric and urbanization proxy is found to be positive and significant. Diabetes prevalence rate has some heterogeneous result and in the present study its coefficient is not in the hypothesized direction. . The Countries should ramp up health infrastructure and necessary preparedness to deal with the subsequent waves and COVID related fatalities. Importance need to be given people's participation and their shared responsibilities in dealing with COVID cases and checking on fatalities. The realisation of social responsibility among the masses can lead to community participation and adhering to the protocols imposed by the government and helps in checking on spread of virus and associated death.