Environmental and structural factors driving poor quality of care: An examination of nursing homes serving Black residents.

BACKGROUND: Poor quality of care in nursing homes (NHs) with high proportions of Black residents has been a problem in the US and even more pronounced during the COVID-19 pandemic. Federal and state agencies are devoting attention to identifying the best means of improving care in the neediest facilities. It is important to understand environmental and structural characteristics that may have led to poor healthcare outcomes in NHs serving high proportions of Black residents pre-pandemic. METHODS: We conducted a cross-sectional observational study using multiple 2019 national datasets. Our exposure was the proportion of Black residents in a NH (i.e., none, <5%, 5%-19.9%, 20-49.9%, ≥50%). Healthcare outcomes examined were hospitalizations and emergency department (ED) visits, both observed and risk-adjusted. Structural factors included staffing, ownership status, bed count (0-49, 50-149, or ≥150), chain organization membership, occupancy, and percent Medicaid as a payment source. Environmental factors included region and urbanicity. Descriptive and multivariable linear regression models were estimated. RESULTS: In the 14,121 NHs, compared to NHs with no Black residents, NHs with ≥50% Black residents tended to be urban, for-profit, located in the South, have more Medicaid-funded residents, and have lower ratios of registered-nurse (RN) and aide hours per resident per day (HPRD) and greater ratios of licensed practical nurse HPRD. In general, as the proportion of Black residents in a NH increased, hospitalizations and ED visits also increased. DISCUSSION/IMPLICATIONS: As lower use of RNs has been associated with increased ED visits and hospitalizations in NHs generally, it is likely low RN use largely drove the differences in hospitalizations and ED visits in NHs with greater proportions of Black residents. Staffing is an area in which state and federal agencies should take action to improve the quality of care in NHs with larger proportions of Black residents.

Disparities in lung cancer.

Lung cancer is the second most common cancer and the leading cause of cancer death among men and women in the United States. Despite a substantial decline in lung cancer incidence and mortality across all races in the last few decades, medically underserved racial and ethnic minority populations continue to carry the greatest burden of disease throughout the lung cancer continuum. Black individuals experience a higher incidence of lung cancer due to lower rates of low-dose computed tomography screening, which translate into advanced disease stage at diagnosis and poorer survival outcomes compared with White individuals. With respect to treatment, Black patients are less likely to receive gold standard surgery, have access to biomarker testing or high-quality treatment compared with White patients. The reasons for those disparities are multifactorial and include socioeconomic (eg, poverty, lack of health insurance, and inadequate education), and geographic inequalities. The objective of this article is to review the sources of racial and ethnic disparities in lung cancer, and to propose recommendations to help address them.

Racial and Ethnic Differences in Self-Reported COVID-19 Exposure Risks, Concerns, and Behaviors Among Diverse Participants in the Women's Health Initiative Study.

BACKGROUND: Racial and ethnic disparities in COVID-19 risk are well-documented; however, few studies in older adults have examined multiple factors related to COVID-19 exposure, concerns, and behaviors or conducted race- and ethnicity- stratified analyses. The Women's Health Initiative (WHI) provides a unique opportunity to address those gaps. METHODS: We conducted a secondary analysis of WHI data from a supplemental survey of 48,492 older adults (mean age 84 years). In multivariable-adjusted modified Poisson regression analyses, we examined predisposing factors and COVID-19 exposure risk, concerns, and behaviors. We hypothesized that women from minoritized racial or ethnic groups, compared to Non-Hispanic White women, would be more likely to report: exposure to COVID-19, a family or friend dying from COVID-19, difficulty getting routine medical care or deciding to forego care to avoid COVID-19 exposure, and having concerns about the COVID-19 pandemic. RESULTS: Asian women and Non-Hispanic Black/African American women had a higher risk of being somewhat/very concerned about risk of getting COVID 19 compared to Non-Hispanic White women and each were significantly more likely than Non-Hispanic White women to report forgoing medical care to avoid COVID-19 exposure. However, Asian women were 35% less likely than Non-Hispanic White women to report difficulty getting routine medical care since March 2020 (aRR 0.65; 95% CI 0.57, 0.75). CONCLUSIONS: We documented COVID-related racial and ethnic disparities in COVID-19 exposure risk, concerns, and care-related behaviors that disfavored minoritized racial and ethnic groups, particularly Non-Hispanic Black/African American women.

Disparities in COVID-19 Hospitalization at the Intersection of Race and Ethnicity and Income.

BACKGROUND: Existing studies have elucidated racial and ethnic disparities in COVID-19 hospitalizations, but few have examined disparities at the intersection of race and ethnicity and income. METHODS: We used a population-based probability survey of non-institutionalized adults in Michigan with a polymerase chain reaction-positive SARS-CoV-2 test before November 16, 2020. We categorized respondents by race and ethnicity and annual household income: low-income (< $50,000) Non-Hispanic (NH) Black, high-income (≥ $50,000) NH Black, low-income Hispanic, high-income Hispanic, low-income NH White, and high-income NH White. We used modified Poisson regression models, adjusting for sex, age group, survey mode, and sample wave, to estimate COVID-19 hospitalization prevalence ratios by race and ethnicity and income. RESULTS: Over half of the analytic sample (n = 1593) was female (54.9%) and age 45 or older (52.5%), with 14.5% hospitalized for COVID-19. Hospitalization was most prevalent among low-income (32.9%) and high-income (31.2%) Non-Hispanic (NH) Black adults, followed by low-income NH White (15.3%), low-income Hispanic (12.9%), high-income NH White (9.6%), and high-income Hispanic adults (8.8%). In adjusted models, NH Black adults, regardless of income (low-income prevalence ratio [PR]: 1.86, 95% CI: 1.36-2.54; high-income PR: 1.57, 95% CI: 1.07-2.31), and low-income NH White adults (PR: 1.52, 95% CI: 1.12-2.07), had higher prevalence of hospitalization compared to high-income NH White adults. We observed no significant difference in the prevalence of hospitalization among Hispanic adults relative to high-income NH White adults. CONCLUSIONS: We observed disparities in COVID-19 hospitalization at the intersection of race and ethnicity and income for NH Black adults and low-income NH White adults relative to high-income NH White adults, but not for Hispanic adults.

The Lack of Race and Ethnicity Data in Australia-A Threat to Achieving Health Equity.

Collecting meaningful race and ethnicity data must be part of the national agenda and must be one of its primary objectives in order to achieve public good and support public interests. Yet, Australia does not collect data on race and ethnicity, and prefers the use of collective cultural groups, whose information is not consistently collected and reported at all levels of government and service delivery. This paper examines the current discrepancies in race and ethnicity data collection in Australia. The paper begins with examining the current practices related to collecting race and ethnicity data and then moves on to examine the various implications and public health significance of not collecting data on race and ethnicity in Australia. The evidence suggests that (1) race and ethnicity data matter, are imperative to ensuring proper advocacy and to reducing inequities in health and social determinant factors; (2) that White privilege is constructed as realized or unrealized personal and systemic racism; and (3) the use of non-committal collective terminologies makes visible minorities invisible, leads to the distorted allocation of governmental support, and legitimises and institutionalises racism and othering, hence perpetuating exclusion and the risk of victimisation. There is an urgent need for the collection of customized, culturally competent racial and ethnicity data that can be consistently integrated into all policy interventions, service delivery and research funding across all levels of governance in Australia. Reducing and eliminating racial and ethnic disparities is not only an ethical, social, and economic imperative, but must also be a critical item on the national agenda. Bridging the racial and ethnic disparities will require concerted whole-of-government efforts to collect consistent and reliable data that depict racial and ethnic characteristics beyond collective cultural groupings.

Racial Disparities in Patients With COVID-19 Infection: A National Inpatient Sample Analysis.

Introduction Evidence suggests the COVID-19 (coronavirus disease 2019) pandemic highlighted well-known healthcare disparities. This study investigated racial disparities in patients with COVID-19-related hospitalizations utilizing the US (United States) National Inpatient Sample (NIS). Methodology This was a retrospective study conducted utilizing the NIS 2020 database. The NIS was searched for hospitalization of adult patients with COVID-19 infection as a principal diagnosis using ICD-10 (International Classification of Diseases, Tenth Revision) codes. We divided the NIS into four major racial/ethnic groups: White, Black, Hispanic, and others. The primary outcome was inpatient mortality, and the secondary outcomes were the mean length of stay, mean total hospital charges, development of sepsis, septic shock, use of vasopressors, acute respiratory failure, acute respiratory distress syndrome, acute kidney failure, acute myocardial infarction, cardiac arrest, deep vein thrombosis, pulmonary embolism, cerebrovascular accident, and need for mechanical ventilation. Results Compared to White patients, Hispanic patients had higher adjusted inpatient mortality odds (aOR [adjusted odds ratio]: 1.25, 95% CI 1.19-1.33, p<0.001); however, Black patients had similar adjusted mortality odds (aOR: 0.96, 95% CI 0.91-1.01, p=0.212). Black patients and Hispanic patients had a higher mean length of stay (8.01 vs 7.13 days, p<0.001 and 7.67 vs 7.13 days, p<0.001, respectively), adjusted odds of cardiac arrest (aOR: 1.53, 95% CI 1.37-1.71, p<0.001 and aOR: 1.73, 95% CI 1.54-1.94, p<0.001), septic shock (aOR: 1.23, 95% CI 1.13-1.33, p<0.001 and aOR: 1.88, 95% CI 1.73-2.04, p<0.001), and vasopressor use (aOR: 1.32, 95% CI 1.14 - 1.53, p<0.001 and aOR: 1.87, 95% CI 1.62 - 2.16, p<0.001). Conclusion Our study showed that Black and Hispanic patients are at higher risk of adverse outcomes compared to White patients admitted with COVID-19 infection.

Strengthening the Public Health Partnership and Telehealth Infrastructure to Reduce Health Care Disparities.

The COVID-19 pandemic has underscored the urgency to focus on the essential value of public health systems (PHSs) in fostering health equity across the US health care delivery system. PHS integration and care coordination can be successfully achieved through health information technology systems. The objective of the study was to examine the association between PHS partnerships (PHSPs), telehealth postdischarge, and racial and ethnic disparities in health care. The analysis used 2017 Centers for Medicare and Medicaid Services Medicare 100% inpatient claims data, the Medicare Beneficiary Summary File, the American Hospital Association Annual Survey, and the American Community Survey. Results showed that compared with those treated in hospitals with neither PHSP nor telehealth postdischarge services, beneficiaries treated in hospitals with PHSP encountered significantly lower Medicare payment and inpatient and readmission rates. Black patients experienced significantly lower cost, inpatient visits, and readmission rates when treated in hospitals with PHSP and telehealth postdischarge services (coefficient = -0.051, P < 0.001; incidence rate ratio [IRR] = 0.982, P = 0.007; IRR = 0.891, P = 0.003). The results of the study demonstrated the importance of combining PHSP and telehealth postdischarge services to improve the efficiency of the health care delivery system and health equity. It is urgent to ensure that PHSs have adequate funding and telehealth infrastructure to support population health.

Socioeconomic and Comorbid Factors Affecting Mortality and Length of Stay in COVID-19 Patients.

Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic exposed and exacerbated health disparities between socioeconomic groups. Our purpose was to determine if age, sex, race, insurance, and comorbidities predicted patients' length of stay (LOS) in the hospital and in-hospital mortality in patients diagnosed with coronavirus disease 2019 (COVID-19) during the early pandemic. Methods Utilizing retrospective, secondarily sourced electronic health record (EHR) data for patients who tested positive for COVID-19 from HCA Healthcare facilities, predictors of LOS and in-hospital mortality were assessed using regression. LOS and in-hospital mortality were assessed using logistic regression and negative binomial regression, respectively. All models included age, insurance status, and sex, while additional covariates were selected using the least absolute shrinkage and selection operator (LASSO) regression. LOS data were presented as incidence rate ratios (IRR), and in-hospital mortality was presented as odds ratios (OR), followed by their 95% confidence intervals (CI). Results There were 111,849 qualifying patient records from March 1, 2020, to August 23, 2020. After excluding those with missing data (n = 7), without clinically confirmed COVID-19 (n = 27,225), and those from a carceral environment (n = 1,861), there were 84,624 eligible patients. Compared to the population of the United States of America, our COVID-19 cohort had a larger proportion of African American patients (23.17% versus 13.4%). The African American patients were more likely to have private insurance providers (28.52% versus 23.68%) and shorter LOS (IRR = 0.88, 95% CI = 0.86-0.90) than the White patient cohort. In addition, the African American versus White patients did not have increased odds (OR = 0.98, 95% CI = 0.96-1.00) of in-hospital mortality. Patients on Medicaid (OR = 1.04, 95% CI = 1.01-1.07) and self-pay (OR = 1.07, 95% CI = 1.00-1.14, noninclusive endpoints) had higher in-hospital mortality than private insurance. Several comorbidities were predictive of an increased LOS, including anxiety (IRR = 1.94, 95% CI = 1.87-2.01) and sedative abuse (IRR = 2.07, 95% CI = 1.63-2.64). Conclusions Race was not associated with increased LOS or in-hospital mortality in patients with COVID-19 infections during the early pandemic. Insurance type, psychiatric comorbidities, and medical comorbidities significantly impacted outcomes in patients with COVID-19. This research and future research in the field should help to determine rational public policies to help mitigate the risk of diseases and their impact on future pandemics.

COVID-19 Vaccination: Sociopolitical and Economic Impact in the United States.

Since the outbreak of COVID-19, vaccination against the virus has been implemented and has progressed among various groups across all ethnicities, genders, and almost all ages in the United States. This study examines the impacts of socioeconomic status and political preference on COVID-19 vaccination in over 443 counties in the southwestern United States. Regression analysis was used to examine the association between a county's vaccination rate and one's personal income, employment status, education, race and ethnicity, age, occupation, residential area, and political preference. The results were as follows: First, counties with higher average personal income tend to have a higher vaccination rate (p < 0.001). Second, county-level vaccination is significantly associated with the percentage of Democrat votes (ß = 0.242, p < 0.001). Third, race and ethnicity are vaccine-influencing factors. Counties with more Black residents have lower vaccine acceptance (ß = -0.419, p < 0.001), while those where more Hispanics or Native Americans reside are more likely to accept vaccines for health protection (ß = 0.202, p < 0.001; ß = 0.057, p = 0.008, respectively). Lastly, pertaining to the age difference, seniors aged 65 and older show substantial support for vaccination, followed by the median age group (all p < 0.001).

Race, ethnicity and COVID-19 vaccine concerns: A latent class analysis of data during early phase of vaccination.

Racial gaps in vaccine uptake in the United States have been widely reported. Existing studies, however, have not explored how individuals' concerns about COVID-19 vaccines are clustered. In this study, racial and ethnic background is linked to constellations of COVID-19 vaccine concerns during the early phase of vaccines in the United States, using the Household Pulse Survey (N = 60,492). Latent class analysis reveals five distinct classes of vaccine concerns: general skepticism, distrust of science and the government, safety, a desire to wait and see, and vague uncertainty. Compared to Whites, people of color more consistently report vaccine hesitancy due to safety and a desire to wait and see, rather than distrust of science and the government. Whites, however, more consistently report general skepticism and distrust of science and the government. Our findings suggest that distrust of science and government is not central to racial minorities' vaccine hesitancy, but it is so for Whites.

Testing Communication Concepts on COVID-19 Contact Tracing Among Black and Latinx/Hispanic People in the United States.

OBJECTIVE: Black and Latinx/Hispanic people were more than twice as likely to die from COVID-19 than White people, but because of legacies of discrimination and maltreatment in health care, were less likely to participate in some public health responses to COVID-19, including contact tracing. This study aimed to test three communication campaign concepts to engage Black and Latinx/Hispanic people in contact tracing efforts. METHODS: Twelve focus group discussions with 5 to 10 participants each were conducted online among participants from Black and Latinx/Hispanic urban populations in Philadelphia and New York state. Participants provided sociodemographic information and were presented with potential campaign concepts and prompted to rate the concepts and engage in open-ended discussion. For rating and sociodemographic data, chi-square tests were performed. For open-ended discussion data, a thematic analysis approach was used. RESULTS: Across groups, the campaign concept that was rated most likely to encourage cooperation with contact tracing efforts was "Be the One," with 45% of total first-place votes. Participants expressed that the campaign caught their attention (79%), motivated them to engage with contact tracers (71%) and to talk to others about contact tracing (77%). Discussions also elucidated: the importance of community engagement; the need for clearer explanations of contact tracing; the preference for already trusted, community-based contact tracers; the need to reassure people about confidentiality; and for contact tracing to be culturally competent and empathetic. CONCLUSIONS: This study highlights how strategic, culturally sensitive communication can buttress current and future contact tracing efforts, especially among Black and Latinx/Hispanic people.

Racial and Ethnic Disparities in Teleworking Due to the COVID-19 Pandemic in the United States: A Mediation Analysis.

A growing literature has pointed out disparities in teleworking among different racial and ethnic (hereafter racial) workers. This study estimated racial disparities in teleworking due to the COVID-19 pandemic and the extent to which these disparities were mediated by four-year college education and occupation in the United States. The data source for this study was the Current Population Survey, May 2020 through July 2021. The results showed that in the reduced model, the odds for Black and Hispanic workers to telework were 35% and 55% lower, respectively, and for Asian workers 44% higher than for White workers, controlling for covariates. When four-year college education and occupation were included as mediator variables in the model, the odds for Black and Hispanic workers to telework were reduced to 7% and 16%, respectively. Overall, disparities in four-year college education and occupation explained 83% and 78% of the variation in the odds of teleworking for Black and Hispanic workers, respectively. Between the mediators, occupation explained more than 60% of the total effect. The results of this study could not rule out the possibility of racial discrimination in teleworking. Ultimately, reducing racial disparities in four-year college education and in different occupations might be a long-term solution for reducing racial disparities in teleworking.

Addressing Structural Inequities, a Necessary Step Toward Ensuring Equitable Access to Telehealth for Medication Abortion Care During and Post COVID-19.

Telehealth, one of the newest health innovations, has been promoted as a tool to enhance access to health care services in ways that center patient needs. However, integrating telehealth within an inequitable health system undermines its potential. This perspective highlights policies and practices that foster structural inequities and names their impact on the use and acceptability of telehealth for medication abortion among specific communities of color. Communities of color have a higher prevalence of abortion use but face many barriers, including financial and geographic barriers, to abortion access. Preliminary evidence on telehealth for medication abortion shows that it is highly acceptable, accommodating of patient needs, and may allow patients to access abortion care at earlier gestational ages. However, evidence during the COVID-19 pandemic shows that utilization of telehealth is lower among communities of color. We describe how systemic barriers, including regulations on or laws banning telehealth for medication abortion, disinvestments in digital access, and restrictions on public insurance coverage, could perpetuate lower utilization of telehealth for medication abortion care among communities of color. We call for systems changes that will remove these barriers and make this health care innovation available to all who may desire it.

COVID-19 Infections and Mortality in Florida Counties: Roles of Race, Ethnicity, Segregation, and 2020 Election Results.

PURPOSE: This study investigates the association of racial and ethnic composition, segregation, and 2020 presidential election voting results with COVID-19 infections and deaths in Florida counties. METHODS: Florida county COVID-19 infection and death counts reported through March 2021 were supplemented with socioeconomic characteristics and 2020 presidential results to form the dataset employed in this ecological study. Poisson regression analysis measured the association of infection and mortality rates with county demographic and economic characteristics, then assessed the moderating role of county political preferences. RESULTS: Counties with higher proportions of Black residents experience disproportionately higher COVID-19 infection and mortality rates. Disparities are further inflated in counties with larger Republican vote shares. That voting effect extends to Hispanic population proportions and segregation, both of which are associated with higher COVID-19 infection and mortality rates in more Republican-leaning counties. CONCLUSIONS: Communities challenged by pre-existing health disparities, segregation, and economic hardship before the pandemic bear disproportionate risk of COVID-19 infection and mortality. Factors associated with voter preference for the 2020 Republican presidential candidate compound those problems, worsening consequences for all county residents, suggesting deeper structural health challenges.

Racial and ethnic differences in family planning telehealth use during the onset of the COVID-19 response in Arkansas, Kansas, Missouri, and Oklahoma.

OBJECTIVES: To explore racial/ethnic disparities in family planning telehealth use. STUDY DESIGN: We analyzed telehealth and in-clinic visits (n = 3142) from ten family planning clinics (April 1-July 31, 2020) by race/ethnicity and month. RESULTS: Telehealth comprised 1257/3142 (40.0%) of overall visits. Telehealth was used by 242/765 (31.6%) of Black/African American and 31/106 (29.2%) multiracial patients. Patients with unknown (162/295, 54.9%), White (771/1870, 41.2%), and other (51/106, 48.1%) identities comprised the majority of telehealth visits. CONCLUSIONS: Our study found differences in telehealth use during the COVID-19 pandemic response. IMPLICATIONS: Understanding barriers and facilitators to telehealth is critical to reducing disparities in access.

No Populations Left Behind: Vaccine Hesitancy and Equitable Diffusion of Effective COVID-19 Vaccines.

Racial/ethnic minority communities are experiencing an undue burden from coronavirus disease 2019 (COVID-19), and the availability of Food and Drug Administration (FDA) authorized vaccines is critical for improving population health. National surveys assessing vaccination willingness and reports of vaccination administration by race/ethnicity indicate at least two areas that warrant attention: elevated vaccine hesitancy among African American and Latino adults, and the need to ensure equitable access to vaccination. COVID-19 vaccine hesitancy is not uniform within racial/ethnic minority populations; yet, given the disproportionate impact, understandable distrust, and widespread misinformation, there is an imperative to overcome challenges associated with vaccination willingness and uptake, as well as implementation and access. This Perspective discusses the complexity of drivers for each of these areas, which include individual, community, and structural factors. It also highlights two initiatives at the National Institutes of Health. One is focused on addressing misinformation and distrust through academic-community partnerships, and the other on community-engaged behavioral interventions to address the population-specific reasons for COVID-19 vaccine hesitancy, support informed decision-making, and promote equitable access among populations with health disparities. For the foreseeable future, proactive and persistent efforts around COVID-19 mitigation strategies, including vaccination, will remain of paramount importance for health equity.

Racial and Ethnic Disparities in Years of Potential Life Lost Attributable to COVID-19 in the United States: An Analysis of 45 States and the District of Columbia.

The coronavirus disease 2019 (COVID-19) epidemic in the United States has disproportionately impacted communities of color across the country. Focusing on COVID-19-attributable mortality, we expand upon a national comparative analysis of years of potential life lost (YPLL) attributable to COVID-19 by race/ethnicity (Bassett et al., 2020), estimating percentages of total YPLL for non-Hispanic Whites, non-Hispanic Blacks, Hispanics, non-Hispanic Asians, and non-Hispanic American Indian or Alaska Natives, contrasting them with their respective percent population shares, as well as age-adjusted YPLL rate ratios-anchoring comparisons to non-Hispanic Whites-in each of 45 states and the District of Columbia using data from the National Center for Health Statistics as of 30 December 2020. Using a novel Monte Carlo simulation procedure to perform estimation, our results reveal substantial racial/ethnic disparities in COVID-19-attributable YPLL across states, with a prevailing pattern of non-Hispanic Blacks and Hispanics experiencing disproportionately high and non-Hispanic Whites experiencing disproportionately low COVID-19-attributable YPLL. Furthermore, estimated disparities are generally more pronounced when measuring mortality in terms of YPLL compared to death counts, reflecting the greater intensity of the disparities at younger ages. We also find substantial state-to-state variability in the magnitudes of the estimated racial/ethnic disparities, suggesting that they are driven in large part by social determinants of health whose degree of association with race/ethnicity varies by state.

Racial and ethnic differences in self-reported telehealth use during the COVID-19 pandemic: a secondary analysis of a US survey of internet users from late March.

OBJECTIVE: Widespread technological changes, like the rapid uptake of telehealth in the US during the COVID-19 pandemic, risk creating or widening racial/ethnic disparities. We conducted a secondary analysis of a cross-sectional, nationally representative survey of internet users to evaluate whether there were racial/ethnic disparities in self-reported telehealth use early in the pandemic. MATERIALS AND METHODS: The Pew Research Center fielded the survey March 19-24, 2020. Telehealth use because of the pandemic was measured by asking whether respondents (N = 10 624) "used the internet or e-mail to connect with doctors or other medical professionals as a result of the coronavirus outbreak." We conducted survey-weighted logistic regressions, adjusting for respondents' socioeconomic characteristics and perceived threat of the pandemic to their own health (eg, no threat, minor, major). RESULTS: Approximately 17% of respondents reported using telehealth because of the pandemic, with significantly higher unadjusted odds among Blacks, Latinos, and those identified with other race compared to White respondents. The multivariable logistic regressions and sensitivity analyses show Black respondents were more likely than Whites to report using telehealth because of the pandemic, particularly when perceiving the pandemic as a minor threat to their own health. DISCUSSION: Black respondents are most likely to report using telehealth because of the COVID-19 pandemic, particularly when they perceive the pandemic as a minor health threat. CONCLUSION: The systemic racism creating health and health care disparities has likely raised the need for telehealth among Black patients during the pandemic. Findings suggest opportunities to leverage a broadly defined set of telehealth tools to reduce health care disparities postpandemic.