Variation In Racial Disparities Research Articles

Facility-Level Variation in Racial Disparities in Anticoagulation for Atrial Fibrillation: The REACH-AF Study.

Oral anticoagulation reduces stroke risk for patients with atrial fibrillation (AF). Prior research demonstrates lower anticoagulant prescribing in Black than in White individuals but few studies have examined racial differences in facility-level anticoagulant prescribing for AF. To assess variation in anticoagulant initiation by race within Veterans Health Administration (VA) facilities. Retrospective cohort study. Black and White patients enrolled in the VA with incident AF from 2020 through 2021. The primary outcome was rate of any anticoagulant initiation (i.e., warfarin or direct oral anticoagulant [DOAC]) or any DOAC therapy within 90days of an AF diagnosis, overall and for Black and White patients at each facility. We also estimated the adjusted Black-White risk difference. In 82 VA facilities serving 26,832 Black and White patients, overall unadjusted rates of any anticoagulant therapy ranged from 56.8 to 87.1% across facilities; the corresponding ranges for Black and White patients were 47.6 to 91.3% and 58.2 to 87.1%, respectively. Overall unadjusted rates of DOAC therapy ranged from 55.1 to 85.5% by facility; ranges for Black and White patients were 42.8 to 86.9% and 56.4 to 85.5%, respectively. The adjusted risk difference between Black and White patients ranged from - 29.9 (95% CI, - 54.9 to - 4.8) to 14.2 (95% CI, - 9.1 to 25.0) across facilities for any anticoagulant therapy and from - 28.8 (95% CI, - 58.3 to 0.8) to 15.0 (95% CI, - 8.0 to 38.1) for DOAC therapy.For any anticoagulant therapy there were 3 facilities where prescribing was statistically higher in White than Black patients; for DOAC therapy there were 5 such facilities. In a national cohort of patients with AF, we observed large facility-level variation and adjusted risk differences in any anticoagulant and DOAC initiation, overall and by race. These findings represent a target for local quality improvement in AF care.

Variation in racial disparities in police use of force

I examine how racial disparities in police use of force vary using new data covering every municipal police department in New Jersey. Along the intensive margin of force severity, I find disparities that disfavor Black subjects and are larger at higher force levels, even after adjusting for incident-level factors and using new techniques to address selection bias. I then extend empirical Bayes methods to estimate department-specific racial disparities and observe significant differences across and within these hundreds of departments. My findings suggest that ignoring heterogeneity in police use of force misrepresents the problem and masks the existence of both departments with very large disparities and those without apparent disparities against Black civilians, but the variation even within departments may make identifying and treating inequitable policing difficult.

Hospital-level variation in racial disparities in low-risk nulliparous cesarean delivery rates

Nationally, rates of cesarean delivery are highest among Black patients compared with other racial/ethnic groups. These observed inequities are a relatively new phenomenon (in the 1980s, cesarean delivery rates among Black patients were lower than average), indicating an opportunity to narrow the gap. Cesarean delivery rates vary greatly among hospitals, masking racial disparities that are unseen when rates are reported in aggregate. This study aimed to explore reasons for the current large Black-White disparity in first-birth cesarean delivery rates by first examining the hospital-level variation in first-birth cesarean delivery rates among different racial/ethnic groups. We then identified hospitals that had low first-birth cesarean delivery rates among Black patients and compared them with hospitals with high rates. We sought to identify differences in facility or patient characteristics that could explain the racial disparity. A population cross-sectional study was performed on 1,267,493 California live births from 2018 through 2020 using birth certificate data linked with maternal patient discharge records. Annual nulliparous term singleton vertex cesarean delivery (first-birth) rates were calculated for the most common racial/ethnic groups statewide and for each hospital. Self-identified race/ethnicity categories as selected on the birth certificate were used. Relative risk and 95% confidence intervals for first-birth cesarean delivery comparing 2019 with 2015 were estimated using a log-binomial model for each racial/ethnic group. Patient and hospital characteristics were compared between hospitals with first-birth cesarean delivery rates <23.9% for Black patients and hospitals with rates ≥23.9% for Black patients. Hospitals with at least 30 nulliparous term singleton vertex Asian, Black, Hispanic, and White patients each were identified. Black patients had a very different distribution, with a significantly higher rate (28.4%) and wider standard deviation (7.1) and interquartile range (6.5) than other racial groups (P<.01). A total of 29 hospitals with a low first-birth cesarean delivery rate among Black patients were identified using the Healthy People 2020 target of 23.9% and compared with 106 hospitals with higher rates. The low-rate group had a cesarean delivery rate of 19.9%, as opposed to 30.7% in the higher-rate group. There were no significant differences between the groups in hospital characteristics (ownership, delivery volume, neonatal level of care, proportion of midwife deliveries) or patient characteristics (age, education, insurance, onset of prenatal care, body mass index, hypertension, diabetes mellitus). Among the 106 hospitals that did not meet the target for Black patients, 63 met it for White patients with a mean rate of 21.4%. In the same hospitals, the mean rate for Black patients was 29.5%. Among Black patients in the group that did not meet the 23.9% target, there were significantly higher rates of all cesarean delivery indications: labor dystocia, fetal concern (spontaneous labor), and no labor (eg, macrosomia), which are all indications with a high degree of subjectivity. The statewide cesarean delivery rate of Black patients is significantly higher and has substantially greater hospital variation compared with other racial or ethnic groups. The lack of difference in facility or patient characteristics between hospitals with low cesarean delivery rates among Black patients and those with high rates suggests that unconscious bias and structural racism potentially play important roles in creating these racial differences.

Racial Disparities in Access to Potential COVID‐19 Vaccine Administration Facilities across US States: A Geographic Information Systems Analysis

Research ObjectiveA major challenge in the design of vaccine distribution and administration plans is ensuring equitable access to COVID‐19 vaccines among racial minority populations, who have been disproportionately affected by the pandemic.We calculated driving distance to the closest potential COVID‐19 vaccine administration facility for a representative sample of the US population and estimated whether race was associated with access to healthcare facilities that may serve as COVID‐19 vaccine administration locations.Study DesignWe mapped community pharmacies providing immunization services as of October 1, 2020, federally qualified health centers, rural health clinics, and hospital outpatient departments. For a 1% sample of a US synthetic population, we computed driving distance to the closest facility using ArcGIS Network Analyst and a national transportation dataset. For each state, we calculated the proportion of population with ≥10 miles distance to the closest facility and the odds ratio of having a distance≥10 miles to the closest facility for Black compared to White residents.Population Studied1% sample of the 2010 U.S. Synthetic Population developed by RTI International (n = 2,982,544).Principal FindingsThe mean (median) number of potential COVID‐19 vaccine administration facilities per state was 988 (1335) and ranged from 201 in WY to 6577 in CA. In 21 states, more than 5% of the population had a driving distance ≥10 miles to the closest facility. In ND, SD, MT, WY, NE, and KS, over 10% of the population had a driving distance ≥10 miles.In 17 states, Black residents were more likely to live ≥10 miles to the closest facility than White residents. Among these 17 states showing statistically significant disparities, there were 8 states where Black residents were at least 5 times more likely to have a driving distance ≥10 miles than White residents, including AK, CT, DE, MA, NJ, RI, UT, and DC. Additionally, in CA, NV, and SC, Black patients were 2 to 5 times more likely to have a driving distance ≥10 miles to the closest facility.ConclusionsThere exists large state‐level variation in racial disparities in access to potential COVID‐19 vaccine administration facilities. While states with a greater proportion of the overall population ≥ 10 miles to the closest facility were concentrated in the Midwest, states with significant racial disparities, mostly placed along the coasts, tend to be more populous with highly diverse racial composition.Implications for Policy or PracticeEnsuring an equitable COVID‐19 vaccine administration among the U.S. population is the current public health priority. Our analyses can guide public health officials in the identification of areas that necessitate additional infrastructure for a equitable vaccine distribution. This is of upmost importance to prevent the historical disparities in access to health care from further magnifying disparities in COVID‐19 related outcomes.Primary Funding SourceWest Health Policy Center.

Racial Stratification Among Latinos in the Mortgage Market

Studies of the mortgage industry’s impact on racial stratification have long focused on racial disparities found between white and black homeowners. Ample research demonstrates that unequal access and treatment between white and black home seekers has created major differences in the type of loan products they are offered in the marketplace. While numerous studies also document disadvantaged Latino homebuyers, studies have yet to examine racial variation within the Latino population. This paper draws on annual data from the Home Mortgage Disclosure Act (HMDA) from 2010 to 2017 to assess variation in racial disparities among Latinos in loan outcomes and compares them to Non-Latino whites, blacks, Asians, and Others. I show that loan rejections and high cost originations are highest among black Latinos and lowest among white and Asian Latinos. Other Latinos perform somewhere in the middle. These trends are particularly true when examining mortgage denials. When comparing Latino racial groups to Non-Latinos, the observed lending patterns provide evidence of a tri-racial hierarchy in the mortgage market.

Geographic Variation in Racial Disparities in Mortality From Influenza and Pneumonia in the United States in the Pre-Coronavirus Disease 2019 Era

In 2018, influenza and pneumonia was the eighth leading cause of death in the United States. Since 1950, non-Hispanic blacks (NHBs) have experienced higher rates of mortality than non-Hispanic whites (NHWs). Previous studies have revealed geographic variation in mortality rates by race. The identification of areas with the greatest disparity in influenza and pneumonia mortality may assist policymakers in the allocation of resources, including for the coronavirus disease 2019 pandemic. Does geographic variation in racial disparity in influenza and pneumonia mortality exist? The Centers for Disease Control and Prevention database for Multiple Cause of Death between 1999 and 2018 for NHB and NHW decedents≥ 25 years of age with a Tenth Revision of the International Statistical Classification of Diseases and Related Health Problems code for influenza (J09-J11) and pneumonia (J12-J18) was used. Age-adjusted mortality rates (AAMRs) with 95%CIs were computed by race for Health & Human Services (HHS) regions and urbanization in NHBs and NHWs. In 1999 through 2018, there were 540,476 deaths among NHBs and NHWs 25 to 84 years of age. AAMRs were higher in NHBs than NHWs in each age group and in seven of 10 HHS regions. The greatest disparity was in HHS regions 2 (New York and New Jersey) and 9 (Arizona, California, Hawaii, and Nevada). In HHS region 2, NHBs (24.6; 95%CI, 24.1-25.1) were more likely to die than NHWs (15.7; 95%CI, 15.6-15.9). Similarly, in region 9, NHBs (23.2; 95%CI, 22.7-23.8) had higher mortality than NHWs (16.1; 95%CI, 15.9-16.2). Within these regions, disparities were greatest in the core of major metropolitan areas. A very high AAMR in NHBs was noted in large, central metropolitan areas of region 2: 28.2 (95%CI, 27.6-28.9). In 1999 through 2018, the NHB-NHW disparity in AAMRs from influenza and pneumonia was greatest in central metropolitan areas of HHS regions 2 and9.

Variation in Racial Disparities in Liver Transplant Outcomes Across Transplant Centers in the United States.

Little is known about the role that transplant centers may play in perpetuating racial disparities after liver transplantation, which are unexplained by patient-level factors. We examined variation in between-center and within-center disparities among 34,114 Black and White liver transplant recipients in the United States from 2010 to 2017 using Scientific Registry of Transplant Recipient (SRTR) data. We used Cox proportional hazards models to calculate transplant center-specific Black-White hazard ratios and hierarchical survival analysis to examine potential effect modification of the race-survival association by transplant center characteristics, including transplant volume, proportion of Black patients, SRTR quality rating, and region. Models were sequentially adjusted for clinical, socioeconomic, and center characteristics. After adjustment, Black patients experienced 1.11 excess deaths after liver transplant per 100 person-years compared with White patients (95% confidence interval [CI], 0.65-1.56), corresponding to a 21% increased mortality risk (95% CI, 1.12-1.31). Although there was substantial variation in this disparity across transplant centers, there was no evidence of effect modification by transplant center volume, proportion of minority patients seen, quality rating, or region. We found significant racial disparities in survival after transplant, with substantial variation in this disparity across transplant centers that was not explained by selected center characteristics. This is the first study to directly evaluate the role transplant centers play in racial disparities in transplant outcomes. Further assessment of the qualitative factors that may drive disparities, such as selection processes and follow-up care, is needed to create effective center-level interventions to address health inequity.

Geographic Variation in Racial Disparities in Health and Coronavirus Disease-2019 (COVID-19) Mortality.

ObjectiveTo evaluate the race-stratified state-level prevalence of health determinants and the racial disparities in coronavirus disease 2019 (COVID-19) cumulative incidence and mortality in the United States.Patients and MethodsThe age-adjusted race-stratified prevalence of comorbidities (hypertension, diabetes, dyslipidemia, and obesity), preexisting medical conditions (pulmonary disease, heart disease, stroke, kidney disease, and malignant neoplasm), poor health behaviors (smoking, alcohol abuse, and physical inactivity), and adverse socioeconomic factors (education, household income, and health insurance) was computed in 435,139 American adult participants from the 2017 Behavioral Risk Factor Surveillance System survey. Correlation was assessed between health determinants and the race-stratified COVID-19 crude mortality rate and infection-fatality ratio computed from respective state public health departments in 47 states.ResultsBlacks had a higher prevalence of comorbidities (63.3%; 95% CI, 62.4% to 64.2% vs 55.1%; 95% CI, 54.7% to 55.5%) and adverse socioeconomic factors (47.0%; 95% CI, 46.0% to 47.9% vs 30.9%; 95% CI, 30.6% to 31.3%) than did whites. The prevalence of preexisting medical conditions was similar in blacks (30.4%; 95% CI, 28.8% to 32.1%) and whites (30.8%; 95% CI, 30.2% to 31.4%). The prevalence of poor health behaviors was higher in whites (57.2%; 95% CI, 56.3% to 58.0%) than in blacks (50.2%; 95% CI,46.2% to 54.2%). Comorbidities and adverse socioeconomic factors were highest in the southern region, and poor health behaviors were highest in the western region. The cumulative incidence rate (per 100,000 persons) was 3-fold higher in blacks (1546.4) than in whites (540.4). The crude mortality rate (per 100,000 persons) was 2-fold higher in blacks (83.2) than in whites (33.2). However, the infection-fatality ratio (per 100 cases) was similar in whites (6.2) and blacks (5.4). Within racial groups, the geographic distribution of health determinants did not correlate with the state-level COVID-19 mortality and infection-fatality ratio (P>.05 for all).ConclusionRacial disparities in COVID-19 are largely driven by the higher cumulative incidence of infection in blacks. There is a discordance between the geographic dispersion of COVID-19 mortality and the regional distribution of health determinants.

Abstract C053: Identification of factors contributing to breast cancer mortality disparities in the metropolitan Atlanta area

Abstract Background: Racial disparities in breast cancer outcomes persist in the US, in which black women are more likely to die from breast cancer than white women. Despite levels of mammographic screening comparable to the US, Atlanta has a disproportionate burden of late-stage breast tumors and higher mortality rates, especially among black women. To better understand this disparity, we sought to identify tumor, treatment, and patient characteristics that may contribute to the observed differences in breast cancer mortality between black and white women in the metropolitan Atlanta area. Methods: In this study, patients were identified from the Georgia Cancer Registry. We included 4943 non-Hispanic white and 3580 non-Hispanic black women with an initial diagnosis of stage I-IV primary breast cancer between January 2010 and December 2014 in Atlanta. Cox proportional hazard regression was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) to compare black vs. white breast cancer mortality by tumor (stage, grade, ER status, and molecular subtype), treatment (surgery type, receipt of chemotherapy, radiation, hormone therapy, and trastuzumab), and patient (insurance, marital status, SES, and location of service) characteristics. We performed a mediation analysis to evaluate the contribution of subtype, stage, and socioeconomic status (SES) as mediators on the path between race and breast cancer mortality. Results: Compared with white breast cancer patients, black women were younger with tumors that were higher stage, higher grade, and more likely to be larger, node positive and triple negative. In fully adjusted models, black women diagnosed with Luminal A subtype were 58% more likely to die of breast cancer compared to their white counterparts (HR=1.58, 95%CI 1.31-2.00). Similarly, black women with private insurance were 60% more likely to die of breast cancer (HR=1.61, 95%CI 1.25-1.98), and black women in the highest SES group were more than twice as likely to die from breast cancer (HR=2.26, 95%CI 1.26-4.06) than white women with comparable SES. The smallest disparities in breast cancer mortality by race were observed among women without insurance, in the lowest SES index, or those diagnosed with triple-negative breast cancer. The mediation analysis showed 84.8% of the effect between race and breast cancer mortality was through stage, subtype, and SES. Conclusion: Our results indicate variation in racial disparities in breast cancer mortality by tumor and patient characteristics. Consistent with previous reports, our mediation results suggest that later stage and triple-negative subtype among black women are major contributors of the observed disparity. However, our results also shed new light on the disparity, suggesting that the largest disparities are observed among women with ER+ tumors amenable to adjuvant therapies and are most pronounced among women of high SES. More research is needed to understand the drivers of disparities in these treatable tumors. Citation Format: Lindsay J. Collin, Renjian Jiang, Kevin C. Ward, Keerthi Gogineni, Preeti D. Subhedar, Mark Sherman, Mia M. Gaudet, Carmen Radecki Breitkopf, Olivia D'Angelo, Sheryl Gabram-Mendola, Jolie Siegel, Rana Aneja, Anne Gaglioti, Lauren E. McCullough. Identification of factors contributing to breast cancer mortality disparities in the metropolitan Atlanta area [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr C053.

Regional variation in racial disparities among patients with peripheral artery disease

ObjectivePrior studies identified significant racial disparities as well as regional variation in outcomes of patients with peripheral artery disease (PAD). We aimed to determine whether regional variation contributes to these racial disparities. MethodsWe identified all white or black patients who underwent infrainguinal revascularization or amputation in 15 deidentified regions of the Vascular Quality Initiative between 2003 and 2017. We excluded three regions with <100 procedures. We used multivariable linear regression, allowing clustering at the hospital level to calculate the marginal effects of race and region on adjusted 30-day mortality, major adverse limb events (MALEs), and amputation. We compared long-term outcomes between black and white patients within each region and within patients of each race treated in different regions using multivariable Cox regression. ResultsWe identified 90,418 patients, 15,527 (17%) of whom were black. Patients underwent 31,263 bypasses, 52,462 endovascular interventions, and 6693 amputations. Black patients were younger and less likely to smoke, to have coronary artery disease, or to have chronic obstructive pulmonary disease, but they were more likely to have diabetes, limb-threatening ischemia, dialysis dependence, and hypertension and to be self-insured or on Medicaid (all P < .05). Adjusted 30-day mortality ranged from 1.2% to 2.1% across regions for white patients and 0% to 3.0% for black patients; adjusted 30-day MALE varied from 4.0% to 8.3% for white patients and 2.4% to 8.1% for black patients; and adjusted 30-day amputation rates varied from 0.3% to 1.2% for white patients and 0% to 2.1% for black patients. Black patients experienced significantly different (both higher and lower) adjusted rates of 30-day mortality and amputation than white patients did in several regions (P < .05) but not MALEs. In addition, within each racial group, we found significant variation in the adjusted rates of all outcomes between regions (all P < .01). In adjusted analyses, compared with white patients, black patients experienced consistently lower long-term mortality (hazard ratio [HR], 0.80; 95% confidence interval [CI], 0.73-0.88; P < .001) and higher rates of MALEs (HR, 1.15; 95% CI, 1.06-1.25; P < .001) and amputation (HR, 1.33; 95% CI, 1.18-1.51; P < .001), with no statistically significant variation across the regions. However, rates of all long-term outcomes varied within both racial groups across regions. ConclusionsSignificant racial disparities exist in outcomes after lower extremity procedures in patients with PAD, with regional variation contributing to perioperative but not long-term outcome disparities. Underperforming regions should use these data to generate quality improvement projects, as understanding the etiology of these disparities is critical to improving the care of all patients with PAD.

Geographic variation in racial disparities in child maltreatment: The influence of county poverty and population density

There are documented disparities in the rates at which black children come into contact with the child welfare system in the United States compared to white children. A great deal of research has proliferated aimed at understanding whether systematic biases or differential rates of risk among different groups drive these disparities (Drake et al., 2011). In the current study, county rates of maltreatment disparity are compared across the United States and examined in relation to rates of poverty disparity as well as population density. Specifically, using hierarchical linear modeling with a spatially lagged dependent variable, the current study examined data from the National Child Abuse and Neglect Data System (NCANDS) and found that poverty disparities were associated with rates of maltreatment disparities, and densely populated metropolitan counties tended to have the greatest levels of maltreatment disparity for both black and Hispanic children. A significant curvilinear relationship was also observed between these variables, such that in addition to the most densely populated counties, the most sparsely populated counties also tended to have higher rates of maltreatment disparity for black and Hispanic children.

Geographic Variation in Health Care and the Problem of Measuring Racial Disparities

In its study of racial and ethnic disparities in health care, the Institute of Medicine (IOM) concluded that there were large and significant disparities in the quality and quantity of health care received by minority groups in the United States. This article shows that where a patient lives can itself have a large impact on the level and quality of health care the patient receives. Since black or Hispanic populations tend to live in different areas from non-Hispanic white populations, location matters in the measurement and interpretation of health (and health care) disparities. There is wide variation in racial disparities across geographic lines: some areas have substantial disparities, while others have equal treatment. Furthermore, there is no consistent pattern of disparities: some areas may have a wide disparity in one treatment but no disparity in another. The problem of differences in quality of care across regions, as opposed to racial disparities in care, should remain the target of policy makers, as reducing quality disparities would play a major role in improving the health care received by all Americans and by minority Americans in particular.

Geographic Variation in Health Care and the Problem of Measuring Racial Disparities

In its study of racial and ethnic disparities in health care, the Institute of Medicine (IOM) concluded that there were large and significant disparities in the quality and quantity of health care received by minority groups in the United States. This article shows that where a patient lives can itself have a large impact on the level and quality of health care the patient receives. Since black or Hispanic populations tend to live in different areas from non-Hispanic white populations, location matters in the measurement and interpretation of health (and health care) disparities. There is wide variation in racial disparities across geographic lines: some areas have substantial disparities, while others have equal treatment. Furthermore, there is no consistent pattern of disparities: some areas may have a wide disparity in one treatment but no disparity in another. The problem of differences in quality of care across regions, as opposed to racial disparities in care, should remain the target of policy makers, as reducing quality disparities would play a major role in improving the health care received by all Americans and by minority Americans in particular.

Law, Social Standing and Racial Disparities in Imprisonment

A central and recurring concern in the sociology of criminal law is racial disparity in imprisonment-blacks are much more likely than whites to be imprisoned for crimes. Sociological theories disagree over the sources of imprisonment disparity. Prior research has ignored the social, economic, and legal characteristics of states and regions of the country that may contribute to disparity. The present study finds differences in the social standing of blacks relative to whites that explain substantial and statistically significant variation in racial disparity in imprisonment across states after racial differences in involvement in crime are controlled. Blacks are more likely than whites to be imprisoned in states where the black population is a small percentage of the total population and predominantly urban. The implications of these findings for a structural theory of punishment are discussed. Over the past decade, racial and ethnic disparities in imprisonment have provoked national concern. While blacks and other racial minorities constitute a relatively small share of the general population, they make up a very large share of federal and state prison populations. In 1982, blacks made up 12 percent of the U.S. population and 48 percent of the prison population.' Such disparity continues to fuel debate about the treatment of minorities in the administration of criminal justice (Blumstein 1982; Hagan 1974a; Kieck 1981; Langan 1985). One writer described the debate as one of the most distressing and troublesome aspects of the operation of the criminal justice system in the United States (Blumstein 1982, p. 1259). *We thank Paul Burstein, Herbert Costner, Avery Guest, James Inverarity, Joe Weis, L. Wesley Wager, and two anonymous referees for their comments and suggestions. The project reported in this paper was sponsored by a grant from the Legislature of the State of Washington to the Institute for Public Policy, Graduate School of Public Affairs, University of Washington. Address correspondence to George S. Bridges, Department of Sociology-DK40, University of Washington, Seattle, WA 98195. ? 1988 The University of North Carolina Press