scholarly journals Racial/ethnic disparities in exposure to COVID-19, susceptibility to COVID-19 and access to health care - findings from a U.S. national cohort

2022 ◽  
Author(s):  
McKaylee Robertson ◽  
Meghana Shamsunder ◽  
Ellen Brazier ◽  
Mekhala Mantravadi ◽  
Madhura S Rane ◽  
...  
Keyword(s):  
Access To Health Care ◽  
Healthcare Access ◽  
Ethnic Disparities ◽  
Community Based ◽  
Access To Health ◽  
National Cohort ◽  
Barriers To Healthcare ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Disproportionate Burden

We examined the influence of racial/ethnic differences in socioeconomic position on COVID-19 seroconversion and hospitalization within a community-based prospective cohort enrolled in March 2020 and followed through October 2021 (N=6740). The ability to social distance as a measure of exposure to COVID-19, susceptibility to COVID-19 complications, and access to healthcare varied by race/ethnicity with non-white participants having more exposure risk and more difficulty with healthcare access than white participants. Participants with more (versus less) exposure had greater odds of seroconversion (aOR:1.64, 95% Confidence Interval [CI] 1.18-2.29). Participants with more susceptibility and more barriers to healthcare had greater odds of hospitalization (respective aOR:2.36; 1.90-2.96 and 2.31; 1.69-2.68). Race/ethnicity positively modified the association between susceptibility and hospitalization (aORnon-White:2.79, 2.06-3.78). Findings may explain the disproportionate burden of COVID-19 infections and complications among Hispanic and non-Hispanic Black persons. Primary and secondary prevention efforts should address disparities in exposure, COVID-19 vaccination, and treatment.

scholarly journals Disparities in Access to Care and Satisfaction among U.S. Children: The Roles of Race/Ethnicity and Poverty Status

2005 ◽  
Vol 120 (4) ◽  
pp. 431-441 ◽  
Author(s):  
Leiyu Shi ◽  
Gregory D. Stevens
Keyword(s):  
Health Care ◽  
Access To Care ◽  
Medical Care ◽  
Access To Health Care ◽  
Ethnic Disparities ◽  
Access To Health ◽  
Poverty Status ◽  
Quality Of Medical Care ◽  
Race Ethnicity ◽  
Racial Ethnic

Objectives. The study assessed the progress made toward reducing racial and ethnic disparities in access to health care among U.S. children between 1996 and 2000. Methods. Data are from the Household Component of the 1996 and 2000 Medical Expenditure Panel Survey. Bivariate associations of combinations of race/ethnicity and poverty status groups were examined with four measures of access to health care and a single measure of satisfaction. Logistic regression was used to examine the association of race/ethnicity with access, controlling for sociodemographic factors associated with access to care. To highlight the role of income, we present models with and without controlling for poverty status. Results. Racial and ethnic minority children experience significant deficits in accessing medical care compared with whites. Asians, Hispanics, and blacks were less likely than whites to have a usual source of care, health professional or doctor visit, and dental visit in the past year. Asians were more likely than whites to be dissatisfied with the quality of medical care in 2000 (but not 1996), while blacks and Hispanics were more likely than whites to be dissatisfied with the quality of medical care in 1996 (but not in 2000). Both before and after controlling for health insurance coverage, poverty status, health status, and several other factors associated with access to care, these disparities in access to care persisted between 1996 and 2000. Conclusions. Continued monitoring of racial and ethnic differences is necessary in light of the persistence of racial/ethnic and socioeconomic disparities in access to care. Given national goals to achieve equity in health care and eliminate racial/ethnic disparities in health, greater attention needs to be paid to the interplay of race/ethnicity factors and poverty status in influencing access.

scholarly journals Racial and Ethnic Disparities in Health

2019 ◽  
Author(s):  
Samia Tasmim ◽  
Sarah Collins
Keyword(s):  
Health Disparities ◽  
Healthcare Access ◽  
Ethnic Disparities ◽  
Well Being ◽  
Racial And Ethnic Disparities ◽  
Individual Level ◽  
Fundamental Cause ◽  
Race Ethnicity ◽  
Unequal Opportunities ◽  
Racial Ethnic

Racial and ethnic disparities in health stem from the historical legacy and continued patterns of unequal resources and treatment on the basis of race/ethnicity in society (Hummer and Hamilton 2019; Williams and Sternthal 2010). Health disparities encompass differences in physical health, mental health, all-cause and cause-specific mortality risk, activity limitations, healthcare access and utilization, and other metrics of well-being. Researchers have identified a variety of explanations for racial/ethnic health disparities, including socioeconomic inequality, institutional- and individual-level discrimination, residential segregation, early-life circumstances, and health behaviors, among others. However, unequal opportunities on the basis of race/ethnicity remain the fundamental cause of health disparities (Hummer 1996; Phelan and Link 2015).

scholarly journals County‐Level Factors Associated With Cardiovascular Mortality by Race/Ethnicity

2021 ◽  
Vol 10 (6) ◽  
Author(s):  
Bongeka Z. Zuma ◽  
Justin T. Parizo ◽  
Areli Valencia ◽  
Gabriela Spencer‐Bonilla ◽  
Manuel R. Blum ◽  
...  
Keyword(s):  
Risk Factors ◽  
Healthcare Access ◽  
Ethnic Disparities ◽  
County Level ◽  
Cvd Risk Factors ◽  
Cvd Risk ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Hispanic White ◽  
Cvd Mortality

Background Persistent racial/ethnic disparities in cardiovascular disease (CVD) mortality are partially explained by healthcare access and socioeconomic, demographic, and behavioral factors. Little is known about the association between race/ethnicity‐specific CVD mortality and county‐level factors. Methods and Results Using 2017 county‐level data, we studied the association between race/ethnicity‐specific CVD age‐adjusted mortality rate (AAMR) and county‐level factors (demographics, census region, socioeconomics, CVD risk factors, and healthcare access). Univariate and multivariable linear regressions were used to estimate the association between these factors; R 2 values were used to assess the factors that accounted for the greatest variation in CVD AAMR by race/ethnicity (non‐Hispanic White, non‐Hispanic Black, and Hispanic/Latinx individuals). There were 659 740 CVD deaths among non‐Hispanic White individuals in 2698 counties; 100 475 deaths among non‐Hispanic Black individuals in 717 counties; and 49 493 deaths among Hispanic/Latinx individuals across 267 counties. Non‐Hispanic Black individuals had the highest mean CVD AAMR (320.04 deaths per 100 000 individuals), whereas Hispanic/Latinx individuals had the lowest (168.42 deaths per 100 000 individuals). The highest CVD AAMRs across all racial/ethnic groups were observed in the South. In unadjusted analyses, the greatest variation ( R 2 ) in CVD AAMR was explained by physical inactivity for non‐Hispanic White individuals (32.3%), median household income for non‐Hispanic Black individuals (24.7%), and population size for Hispanic/Latinx individuals (28.4%). In multivariable regressions using county‐level factor categories, the greatest variation in CVD AAMR was explained by CVD risk factors for non‐Hispanic White individuals (35.3%), socioeconomic factors for non‐Hispanic Black (25.8%), and demographic factors for Hispanic/Latinx individuals (34.9%). Conclusions The associations between race/ethnicity‐specific age‐adjusted CVD mortality and county‐level factors differ significantly. Interventions to reduce disparities may benefit from being designed accordingly.

scholarly journals Medicaid Expansion and Racial and Ethnic Disparities in Access to Health Care: Applying the National Academy of Medicine Definition of Health Care Disparities

2021 ◽  
Vol 58 ◽  
pp. 004695802199129
Author(s):  
Hyunjung Lee ◽  
Dominic Hodgkin ◽  
Michael P. Johnson ◽  
Frank W. Porell
Keyword(s):  
Health Care ◽  
Ethnic Groups ◽  
Access To Health Care ◽  
Ethnic Disparities ◽  
Medicaid Expansion ◽  
Poverty Level ◽  
Physician Visits ◽  
Access To Health ◽  
Definition Of ◽  
Racial Ethnic

Since 2014, 32 states implemented Medicaid expansion by removing the categorical criteria for childless adults and by expanding income eligibility to 138% of the federal poverty level (FPL) for all non-elderly adults. Previous studies found that the Affordable Care Act (ACA) Medicaid expansion improved rates of being insured, unmet needs for care due to cost, number of physician visits, and health status among low-income adults. However, a few recent studies focused on the expansion’s effect on racial/ethnic disparities and used the National Academy of Medicine (NAM) disparity approach with a limited set of access measures. This quasi-experimental study examined the effect of Medicaid expansion on racial/ethnic disparities in access to health care for U.S. citizens aged 19 to 64 with income below 138% of the federal poverty line. The difference-in-differences model compared changes over time in 2 measures of insurance coverage and 8 measures of access to health care, using National Health Interview Survey (NHIS) data from 2010 to 2016. Analyses used the NAM definition of disparities. Medicaid expansion was associated with significant decreases in uninsured rates and increases in Medicaid coverage among all racial/ethnic groups. There were differences across racial/ethnic groups regarding which specific access measures improved. For delayed care and unmet need for care, decreases in racial/ethnic disparities were observed. After the ACA Medicaid expansion, most access outcomes improved for disadvantaged groups, but also for others, with the result that disparities were not significantly reduced.

scholarly journals Racial/Ethnic Disparities in Chronic Diseases of Youths and Access to Health Care in the United States

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
James H. Price ◽  
Jagdish Khubchandani ◽  
Molly McKinney ◽  
Robert Braun
Keyword(s):  
United States ◽  
Health Disparities ◽  
Health Services ◽  
Chronic Diseases ◽  
Access To Health Care ◽  
Ethnic Disparities ◽  
The United States ◽  
Access To Health Services ◽  
Access To Health ◽  
Racial Ethnic

Racial/ethnic minorities are 1.5 to 2.0 times more likely than whites to have most of the major chronic diseases. Chronic diseases are also more common in the poor than the nonpoor and this association is frequently mediated by race/ethnicity. Specifically, children are disproportionately affected by racial/ethnic health disparities. Between 1960 and 2005 the percentage of children with a chronic disease in the United States almost quadrupled with racial/ethnic minority youth having higher likelihood for these diseases. The most common major chronic diseases of youth in the United States are asthma, diabetes mellitus, obesity, hypertension, dental disease, attention-deficit/hyperactivity disorder, mental illness, cancers, sickle-cell anemia, cystic fibrosis, and a variety of genetic and other birth defects. This review will focus on the psychosocial rather than biological factors that play important roles in the etiology and subsequent solutions to these health disparities because they should be avoidable and they are inherently unjust. Finally, this review examines access to health services by focusing on health insurance and dental insurance coverage and access to school health services.

Preventative health screening community events, a mechanism to target minority ethnic populations in improving primary care utilisation to improve health outcomes

2020 ◽  
Vol 70 (suppl 1) ◽  
pp. bjgp20X711005
Author(s):  
Raza Naqvi ◽  
Octavia Gale
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Health Outcomes ◽  
Ethnic Minority ◽  
Access To Health Care ◽  
Health Screening ◽  
Service Utilisation ◽  
Community Based ◽  
Access To Health ◽  
Minority Ethnic

BackgroundPreventative medicine has become a central focus in primary care provision, with greater emphasis on education and access to health care screening. The Department of Health reports existing health inequalities and inequalities in access within ethnic minority groups. Studies assessing the value of community engagement in primary care have reported variable outcomes in term of subsequent service utilisation.AimTo consider the benefit of community-based health screening checks to improve access and health outcomes in minority ethnic groups.MethodAn open community health screening event (n = 43), to allow targeted screening within an ethnic minority population. Screening included BP, BMI, BM and cholesterol. Results were interpreted by a healthcare professional and counselling was provided regarding relevant risk factors. Post-event feedback was gathered to collate participant opinion and views.ResultsSeventy-nine per cent of participants were from ethnic minority backgrounds: 64% were overweight or obese and 53% of participants were referred to primary care for urgent review following abnormal findings. All those referred would not have accessed healthcare without the event referral. All (100%) participants believed it improved health education and access to health care.ConclusionThis study clearly demonstrates the value of targeted community-led screening and education events in public health promotion. There was a significant benefit in providing community-based screening. There is a need for a longitudinal analysis to determine the impact on health outcomes and long-term access to healthcare provision.

scholarly journals 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

2021 ◽  
Vol 18 (6) ◽  
pp. 2921
Author(s):  
Jay J. Xu ◽  
Jarvis T. Chen ◽  
Thomas R. Belin ◽  
Ronald S. Brookmeyer ◽  
Marc A. Suchard ◽  
...  
Keyword(s):  
United States ◽  
District Of Columbia ◽  
Ethnic Disparities ◽  
The United States ◽  
Attributable Mortality ◽  
Race Ethnicity ◽  
Using Data ◽  
Rate Ratios ◽  
Degree Of Association ◽  
Racial Ethnic

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.

scholarly journals Racial/Ethnic Disparities in Influenza Vaccination Coverage Among US Adolescents, 2010-2016

2018 ◽  
Vol 133 (6) ◽  
pp. 667-676 ◽  
Author(s):  
Noah S. Webb ◽  
Benjamin Dowd-Arrow ◽  
Miles G. Taylor ◽  
Amy M. Burdette
Keyword(s):  
Influenza Vaccination ◽  
Vaccination Coverage ◽  
Black Adolescents ◽  
Ethnic Disparities ◽  
White Adolescents ◽  
Hispanic Adolescents ◽  
Vaccination Rates ◽  
Targeted Interventions ◽  
Race Ethnicity ◽  
Racial Ethnic

Objective: Although research suggests racial/ethnic disparities in influenza vaccination and mortality rates, few studies have examined racial/ethnic trends among US adolescents. We used national cross-sectional data to determine (1) trends in influenza vaccination rates among non-Hispanic white (hereinafter, white), non-Hispanic black (hereinafter, black), and Hispanic adolescents over time and (2) whether influenza vaccination rates among adolescents varied by race/ethnicity. Methods: We analyzed provider-reported vaccination histories for 2010-2016 from the National Immunization Survey–Teen. We used binary logistic regression models to determine trends in influenza vaccination rates by race/ethnicity for 117 273 adolescents, adjusted for sex, age, health insurance, physician visit in the previous 12 months, vaccination facility type, poverty status, maternal education level, children in the household, maternal marital status, maternal age, and census region of residence. We calculated adjusted probabilities for influenza vaccination for each racial/ethnic group, adjusted for the same demographic characteristics. Results: Compared with white adolescents, Hispanic adolescents had higher odds (adjusted odds ratio [aOR] = 1.11; 95% confidence interval [CI], 1.06-1.16) and black adolescents had lower odds (aOR = 0.95; 95% CI, 0.90-1.00) of vaccination. Compared with white adolescents, Hispanic adolescents had significantly higher adjusted probabilities of vaccination for 2011-2013 (2011: 0.22, P < .001; 2012: 0.23, P < .001; 2013: 0.26, P < .001). Compared with white adolescents, black adolescents had significantly lower probabilities of vaccination for 2016 (2016: 0.21, P < .001). Conclusions: Targeted interventions are needed to improve adolescent influenza vaccination rates and reduce racial/ethnic disparities in adolescent vaccination coverage.

Trends in breast cancer survival by race-ethnicity in Florida.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18556-e18556
Author(s):  
Robert Brooks Hines ◽  
Asal Johnson ◽  
Eunkyung Lee ◽  
Stephanie Erickson ◽  
Saleh M.M. Rahman
Keyword(s):  
Breast Cancer ◽  
Ethnic Disparities ◽  
Cancer Death ◽  
Cancer Outcomes ◽  
Subdistribution Hazard ◽  
Breast Cancer Death ◽  
Breast Cancer Outcomes ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Hispanic White

e18556 Background: Considerable efforts to improve disparities in breast cancer outcomes for underserved women have occurred over the past 3 decades. This study was conducted to evaluate trends in survival, by race-ethnicity, for women diagnosed with breast cancer in Florida over a 26-year period to assess potential improvement in racial-ethnic disparities. Methods: This was a retrospective cohort study of women diagnosed with invasive breast cancer in Florida between 1990-2015. Data were obtained from the Florida Cancer Data System. Women in the study were categorized according to race (white/black) and Hispanic ethnicity (yes/no) as non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic white (HW), and Hispanic black (HB). Cumulative incidence estimates of 5- and 10-year breast cancer death with 95% confidence intervals (CI) were obtained by race-ethnicity, according to diagnosis year. Subdistribution hazard models were used to obtain subdistribution hazard ratios (sHR) for the relative rate of breast cancer death accounting for competing causes. Results: Compared to NHW women, minority women were more likely to be younger, be uninsured or have Medicaid as health insurance, live in high poverty neighborhoods, have more advanced disease at diagnosis, have high grade tumors, have hormone receptor negative tumors, and receive chemotherapy as treatment. Minority women were less likely to receive surgery. Over the course of the study, breast cancer mortality decreased for all racial-ethnic groups, and racial-ethnic minorities had greater absolute and relative improvement in breast cancer survival for nearly all metrics compared to non-Hispanic white (NHW) women. However, for the most recent time period (2010-2015), black women still experienced significant survival disparities with non-Hispanic black (NHB) women having twice the rate of 5-year (sHR = 2.04: 95% CI; 1.91-2.19) and 10-year (sHR = 2.02: 95% CI; 1.89-2.16) breast cancer death. Conclusions: Despite efforts to improve disparities in breast cancer outcomes for underserved women in Florida, additional targeted approaches are needed to reduce the poorer survival in black (especially NHB) women. Our next step is to conduct a mediation analysis of the most important factors driving racial/ethnic disparities in breast cancer outcomes for women in Florida.

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