Racial/Ethnic Disparities in Financial Hardship During the First Year of the Pandemic.

Introduction: The economic impact of the COVID-19 pandemic has been substantial, yet little is known about the financial effects resulting from lost employment or financial hardship racial-ethnic disparities. Methods: We conducted a nationally representative, online survey of 5500 English- and Spanish-speaking American Indian/Alaska Native, Asian, Black/African American, Native Hawaiian/Pacific Islander, Latino, White, and multiracial adults, from December 2020 to February 2021. Six financial hardship domains were measured (lost income, debt, unmet expenses, unmet health care expenses, housing insecurity, and food insecurity). Prevalence of financial hardship among each racial-ethnic group was estimated using multivariable Poisson regression. Results: Overall, 70.3% reported experiencing financial hardship; debt (57.6%), lost income (44.5%), and unmet expenses (33.7%) were most common. American Indian/Alaska Native (adjusted prevalence ratio [aPR]=1.19, 95% confidence interval [CI]=1.04 to 1.35), Black/African American (aPR=1.18, 95% CI=1.06 to 1.32), Latino (English-speaking: aPR=1.15, 95% CI=1.01 to 1.31; Spanish-speaking: aPR=1.27, 95% CI=1.12 to 1.45), and Native Hawaiian/Pacific Islander (aPR=1.21, 95% CI=1.06 to 1.38) adults were more likely to experience financial hardship, compared with White adults. American Indian/Alaska Native, Black/African American, Spanish-speaking Latino, and Native Hawaiian/Pacific Islander adults were also more likely to report hardship in almost all hardship domains (e.g., housing insecurity: aPRs=1.37-1.91). Conclusions: Racial/ethnic minorities were more likely to experience financial hardship during the pandemic. The prevalence of lost income was similar across most racial/ethnic groups, suggesting that preexisting wealth disparities led to some groups being less able to handle the economic shocks caused by the COVID-19 pandemic. Financial hardship may be underestimated for communities without English or Spanish fluency. Without intervention, financial hardship will likely exacerbate wealth disparities in the United States.

Financial Hardship and Psychological Distress During the Pandemic: A Nationally Representative Survey of Major Racial-Ethnic Groups in the United States.

Introduction: While financial hardship has been consistently linked to psychological distress, little research exists on associations between financial hardship experienced during the pandemic and mental health. Methods: We conducted a nationally representative, online survey of American Indian/Alaska Native, Asian, Black/African American, Latino (English and Spanish speaking), Native Hawaiian/Pacific Islander, White, and multiracial adults, 12/2020-2/2021 (n=5500). Six financial hardship domains were measured (lost income, debt, unmet expenses, unmet health care expenses, housing insecurity, and food insecurity). Psychological distress measures included anxiety-depression symptoms (Patient Health Questionnaire-4), perceived stress (modified Perceived Stress Scale), and loneliness-isolation ("In the past month, how often have you felt lonely and isolated?"). Associations between financial hardship and psychological distress were estimated using multinomial logistic regression. Results: Overall, 70.3% of participants reported experiencing financial hardship (substantial hardship: 21.3%; some hardship: 27.4%; and a little hardship: 21.6%), with Spanish-speaking Latino (87.3%) and Native Hawaiian/Pacific Islander (79.2%) adults being most likely. Debt (57.6%), lost income (44.5%), and unmet expenses (33.7%) were the most common. There was a dose-response association between financial hardship and moderate/severe anxiety-depression symptoms (a little hardship: adjusted odds ratio [aOR]=1.42, 95% confidence interval [CI]=1.12-1.80; some hardship: aOR=3.21, 95% CI=2.58-3.98; and substantial hardship: aOR=8.15, 95% CI=6.45-10.29). Similar dose-response trends were observed with perceived stress and loneliness-isolation. No racial-ethnic difference in the association between financial hardship during the pandemic and psychological distress was seen. Discussion: Financial hardship has had a major impact on psychological distress during the pandemic; moreover, while no racial-ethnic difference in the effect of financial hardship was observed, because racial-ethnic minorities experienced greater hardship, financial hardship may exacerbate psychological distress disparities.

Disparities in telehealth access, not willingness to use services, likely explain rural telehealth disparities.

PURPOSE: Although telehealth access and utilization have increased during the pandemic, rural and low-income disparities persist. We sought to assess whether access or willingness to use telehealth differed between rural and non-rural and low-income and non-low-income adults and measure the prevalence of perceived barriers. METHODS: We conducted a cross-sectional study using COVID-19's Unequal Racial Burden (CURB) online survey (December 17, 2020-February 17, 2021), which included 2 nationally representative cohorts of rural and low-income Black/African American, Latino, and White adults. Non-rural and non-low-income participants from the main, nationally representative sample were matched for rural versus non-rural and low-income versus non-low-income comparisons. We measured perceived telehealth access, willingness to use telehealth, and perceived telehealth barriers. FINDINGS: Rural (38.6% vs 44.9%) and low-income adults (42.0% vs 47.4%) were less likely to report telehealth access, compared to non-rural and non-low-income counterparts. After adjustment, rural adults were still less likely to report telehealth access (adjusted prevalence ratio [aPR] = 0.89, 95% CI = 0.79-0.99); no differences were seen between low-income and non-low-income adults (aPR = 1.02, 95% CI = 0.88-1.17). The majority of adults reported willingness to use telehealth (rural = 78.4%; low-income = 79.0%), with no differences between rural and non-rural (aPR = 0.99, 95% CI = 0.92-1.08) or low-income versus non-low-income (aPR = 1.01, 95% CI = 0.91-1.13). No racial/ethnic differences were observed in willingness to use telehealth. The prevalence of perceived telehealth barriers was low, with the majority reporting no barriers (rural = 57.4%; low-income = 56.9%). CONCLUSIONS: Lack of access (and awareness of access) is likely a primary driver of disparities in rural telehealth use. Race/ethnicity was not associated with telehealth willingness, suggesting that equal utilization is possible once granted access.

Race/ethnicity-specific associations between breastfeeding information source and breastfeeding rates among U.S. women.

BACKGROUND: Despite evidence of the impact of breastfeeding information on breastfeeding rates, it is unknown if information sources and impact vary by race/ethnicity, thus this study assessed race/ethnicity-specific associations between breastfeeding information sources and breastfeeding. METHODS: We used data from the 2016-2019 Pregnancy Risk Assessment Monitoring System. Race/ethnicity-stratified multinomial logistic regression was used to estimate associations between information source (e.g., family/friends) and breastfeeding rates (0 weeks/none, < 10 weeks, or ≥ 10 weeks; < 10 weeks and ≥ 10 weeks = any breastfeeding). All analyses were weighted to be nationally representative. RESULTS: Among 5,945,018 women (weighted), 88% reported initiating breastfeeding (≥ 10 weeks = 70%). Information from family/friends (< 10 weeks: aORs = 1.58-2.14; ≥ 10 weeks: aORs = 1.63-2.64) and breastfeeding support groups (< 10 weeks: aORs = 1.31-1.76; ≥ 10 weeks: aORs = 1.42-2.77) were consistently associated with breastfeeding and duration across most racial/ethnic groups; effects were consistently smaller among Alaska Native, Black, and Hispanic women (vs White women). Over half of American Indian and one-quarter of Black women reported not breastfeeding/stopping breastfeeding due to return to school/work concerns. CONCLUSIONS: Associations between breastfeeding information source and breastfeeding rates vary across race/ethnicity. Culturally tailored breastfeeding information and support from family/friends and support groups could help reduce breastfeeding disparities. Additional measures are needed to address disparities related to concerns about return to work/school.

Effect of Stay-at-Home orders and other COVID-related policies on trauma hospitalization rates and disparities in the USA: a statewide time-series analysis.

BACKGROUND: To combat the coronavirus pandemic, states implemented several public health policies to reduce infection and transmission. Increasing evidence suggests that these prevention strategies also have had a profound impact on non-COVID healthcare utilization. The goal of this study was to determine the impact of a statewide Stay-at-Home order and other COVID-related policies on trauma hospitalizations, stratified by race/ethnicity, age, and sex. METHODS: We used the North Carolina Trauma Registry, a statewide registry of trauma hospitalizations for 18 hospitals across North Carolina, including all North Carolina trauma centers, to calculate weekly rates of assault, self-inflicted, unintentional motor vehicle collision (MVC), and other unintentional injury hospitalizations between January 1, 2019, and December 31, 2020. Interrupted time-series design and segmented linear regression were used to estimate changes in hospitalization rates after several COVID-related executive orders, overall and stratified by race/ethnicity, age, and sex. Changes in hospitalization rates were assessed after 1) USA declaration of a public health emergency; 2) North Carolina statewide Stay-at-Home order; 3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and 4) further lifting of restrictions (Phase 2.5: Safer-at-Home). RESULTS: There were 70,478 trauma hospitalizations in North Carolina, 2019-2020. In 2020, median age was 53 years old and 59% were male. Assault hospitalization rates (per 1,000,000 NC residents) increased after the Stay-at-Home order, but substantial increases were only observed among Black/African American residents (weekly trend change = 1.147, 95% CI = 0.634 to 1.662) and 18-44-year-old males (weekly trend change = 1.708, 95% CI = 0.870 to 2.545). After major restrictions were lifted, assault rates decreased but remained elevated compared to pre-COVID levels. Unintentional non-MVC injury hospitalizations decreased after the USA declared a public health emergency, especially among women ≥ 65 years old (weekly trend change = -4.010, 95% CI = -6.166 to -1.855), but returned to pre-pandemic levels within several months. CONCLUSIONS: Statewide Stay-at-Home orders placed Black/African American residents at higher risk of assault hospitalizations, exacerbating pre-existing disparities. Males 18-44 years old were also at higher risk of assault hospitalization. Fear of COVID-19 may have led to decreases in unintentional non-MVC hospitalization rates, particularly among older females. Policy makers must anticipate policy-related harms that may disproportionately affect already disadvantaged communities and develop mitigation approaches.

Perceived general, mental, and physical health of Latinos in the United States following adoption of immigrant-inclusive state-level driver's license policies: a time-series analysis.

BACKGROUND: In the United States (U.S.), several states have laws that allow individuals to obtain driver's licenses regardless of their immigration status. Possession of a driver's license can improve an individual's access to social programs, healthcare services, and employment opportunities, which could lead to improvements in perceived mental and physical health among Latinos living in the U.S. METHODS: Using Behavioral Risk Factor Surveillance System data (2011-2019) for Latinos living in the U.S. overall (immigration status was not available), we compared the average number of self-reported perceived poor mental and physical health days/month, and general health status (single-item measures) before (January 2011-June 2013) and after implementation (July 2015-December 2019) of immigrant-inclusive license policies using interrupted time-series analyses and segmented linear regression, and a control group of states in which such policies were not implemented. We also compared the average number of adults reporting any perceived poor mental or physical health days (≥ 1 day/month) using a similar approach. RESULTS: One hundred twenty-three thousand eight hundred seven Latino adults were included; 66,805 lived in states that adopted immigrant-inclusive license policies. After implementation, average number of perceived poor physical health days significantly decreased from 4.30 to 3.80 days/month (immediate change = -0.64, 95% CI = -1.10 to -0.19). The proportion reporting ≥ 1 perceived poor physical and mental health day significantly decreased from 41 to 34% (OR = 0.89, 95% CI = 0.80-1.00) and from 40 to 33% (OR = 0.84, 95% CI = 0.74-0.94), respectively. CONCLUSIONS: Among all Latinos living in the U.S., immigrant-inclusive license policies were associated with fewer perceived poor physical health days per month and fewer adults experiencing poor physical and mental health. Because anti-immigrant policies can harm Latino communities regardless of immigration status and further widen health inequities, implementing state policies that do not restrict access to driver licenses based on immigrant status documentation could help address upstream drivers of such inequities.

Effect of Stay-at-Home Orders and Other COVID-Related Policies on Trauma Hospitalization Rates and Disparities in the United States: A Statewide Time-Series Analysis.

Background: To combat the coronavirus pandemic, states implemented several public health policies to reduce infection and transmission. Increasing evidence suggests that these prevention strategies also have had a profound impact on non-COVID healthcare utilization. The goal of this study was to determine the impact of a statewide Stay-at-Home and other COVID-related policies on trauma hospitalizations, stratified by race/ethnicity, age, and sex. Methods: We used the North Carolina Trauma Registry, a statewide registry of trauma hospitalizations to 18 hospitals across North Carolina, including all North Carolina trauma centers, to calculate weekly assault, self-inflicted, unintentional motor vehicle collision (MVC), and other unintentional injury hospitalization rates between January 1, 2019 and December 31, 2020. Interrupted time-series design and segmented linear regression were used to estimate changes in hospitalizations rates after several COVID-related executive orders, overall and stratified by race/ethnicity, age, and gender. Hospitalization rates were compared after 1) U.S. declaration of a public health emergency; 2) North Carolina statewide Stay-at-Home order; 3) Stay-at-Home order lifted with restrictions (Phase 2: Safer-at-Home); and 4) further lifting of restrictions (Phase 2.5: Safer-at-Home). Results: There were 70,478 trauma hospitalizations in North Carolina from 2019-2020. In 2020, median age was 53 years old and 59% were male. Assault hospitalization rates (per 1,000,000 NC residents) increased after the Stay-at-Home order, but only among Black/African American residents (incidence rate difference [IRD]=7.9; other racial/ethnic groups' IRDs ranged 0.9 to 1.7) and 18-44 year-old males (IRD=11.9; other sex/age groups' IRDs ranged -0.5 to 3.6). After major restrictions were lifted, assault rates returned to pre-COVID levels. Unintentional injury hospitalizations decreased after the public health emergency, especially among older adults, but returned to 2019 levels within several months. Conclusions: Statewide Stay-at-Home orders put Black/African American residents at higher risk for assault hospitalizations, exacerbating pre-existing disparities. Fear of COVID-19 may have also led to decreases in unintentional non-MVC hospitalization rates, particularly among older adults. Policy makers must anticipate possible negative effects and develop approaches for mitigating harms that may disproportionately affect already disadvantaged communities.

COVID-19-Related Discrimination Among Racial/Ethnic Minorities and Other Marginalized Communities in the United States.

Objectives. To determine the prevalence of COVID-19-related discrimination among major US racial/ethnic groups and estimate associations between discrimination, race/ethnicity, and other sociodemographic characteristics. Methods. We conducted a nationally representative online survey of 5500 American Indian/Alaska Native, Asian, Black/African American, Hawaiian/Pacific Islander, Latino (English and Spanish speaking), White, and multiracial adults from December 2020 to February 2021. Associations between sociodemographic characteristics and COVID-19-related discrimination were estimated via multinomial logistic regression. Results. A total of 22.1% of the participants reported experiencing discriminatory behaviors, and 42.7% reported that people acted afraid of them. All racial/ethnic minorities were more likely than White adults to experience COVID-19-related discrimination, with Asian and American Indian/Alaska Native adults being most likely to experience such discrimination (discriminatory behaviors: adjusted odd ratio [AOR] = 2.59; 95% confidence interval [CI] = 1.73, 3.89; and AOR = 2.67; 95% CI = 1.76, 4.04; people acting afraid: AOR = 1.54; 95% CI = 1.15, 2.07; and AOR = 1.84; 95% CI = 1.34, 2.51). Limited English proficiency, lower education, lower income, and residing in a big city or the East South Central census division also increased the prevalence of discrimination. Conclusions. COVID-19-related discrimination is common, and it appears that the pandemic has exacerbated preexisting resentment against racial/ethnic minorities and marginalized communities. Efforts are needed to minimize and discredit racially driven language and discrimination around COVID-19 and future epidemics. (Am J Public Health. 2022;112(3):453-466. https://doi.org/10.2105/AJPH.2021.306594).