Historical Redlining, Persistent Mortgage Discrimination, and Race in Breast Cancer Outcomes.

Importance: Inequities created by historical and contemporary mortgage discriminatory policies have implications for health disparities. The role of persistent mortgage discrimination (PMD) in breast cancer (BC) outcomes has not been studied. Objective: To estimate the race-specific association of historical redlining (HRL) with the development of BC subtypes and late-stage disease and a novel measure of PMD in BC mortality. Design, Setting, and Participants: This population-based cohort study used Georgia Cancer Registry data. A total of 1764 non-Hispanic Black and White women with a BC diagnosis and residing in an area graded by the Home Owners' Loan Corporation (HOLC) in Georgia were included. Patients were excluded if they did not have a known subtype or a derived American Joint Committee on Cancer stage or if diagnosed solely by death certificate or autopsy. Participants were diagnosed with a first primary BC between January 1, 2010, to December 31, 2017, and were followed through December 31, 2019. Data were analyzed between May 1, 2022, and August 31, 2023. Exposures: Scores for HRL were examined dichotomously as less than 2.5 (ie, nonredlined) vs 2.5 or greater (ie, redlined). Contemporary mortgage discrimination (CMD) scores were calculated, and PMD index was created using the combination of HRL and CMD scores. Main Outcomes and Measures: Estrogen receptor (ER) status, late stage at diagnosis, and BC-specific death. Results: This study included 1764 women diagnosed with BC within census tracts that were HOLC graded in Georgia. Of these, 856 women (48.5%) were non-Hispanic Black and 908 (51.5%) were non-Hispanic White; 1148 (65.1%) were diagnosed at 55 years or older; 538 (30.5%) resided in tracts with HRL scores less than 2.5; and 1226 (69.5%) resided in tracts with HRL scores 2.5 or greater. Living in HRL areas with HRL scores 2.5 or greater was associated with a 62% increased odds of ER-negative BC among non-Hispanic Black women (odds ratio [OR], 1.62 [95% CI, 1.01-2.60]), a 97% increased odds of late-stage diagnosis among non-Hispanic White women (OR, 1.97 [95% CI, 1.15-3.36]), and a 60% increase in BC mortality overall (hazard ratio, 1.60 [95% CI, 1.17-2.18]). Similarly, PMD was associated with BC mortality among non-Hispanic White women but not among non-Hispanic Black women. Conclusions and Relevance: The findings of this cohort study suggest that historical racist policies and persistent discrimination have modern-day implications for BC outcomes that differ by race. These findings emphasize the need for a more nuanced investigation of the social and structural drivers of disparate BC outcomes.

The Association between State-Level Structural Racism and Alcohol and Tobacco Use Behaviors among a National Probability Sample of Black Americans.

BACKGROUND: Structural racism is how society maintains and promotes racial hierarchy and discrimination through established and interconnected systems. Structural racism is theorized to promote alcohol and tobacco use, which are risk factors for adverse health and cancer-health outcomes. The current study assesses the association between measures of state-level structural racism and alcohol and tobacco use among a national sample of 1,946 Black Americans. METHODS: An existing composite index of state-level structural racism including five dimensions (subscales; i.e., residential segregation and employment, economic, incarceration, and educational inequities) was merged with individual-level data from a national sample dataset. Hierarchical linear and logistic regression models, accounting for participant clustering at the state level, assessed associations between structural racism and frequency of alcohol use, frequency of binge drinking, smoking status, and smoking frequency. Two models were estimated for each behavioral outcome, one using the composite structural racism index and one modeling dimensions of structural racism in lieu of the composite measure, each controlling for individual-level covariates. RESULTS: Results indicated positive associations between the incarceration dimension of the structural racism index and binge drinking frequency, smoking status, and smoking frequency. An inverse association was detected between the education dimension and smoking status. CONCLUSIONS: Results suggest that state-level structural racism expressed in incarceration disparities, is positively associated with alcohol and tobacco use among Black Americans. IMPACT: Addressing structural racism, particularly in incarceration practices, through multilevel policy and intervention may help to reduce population-wide alcohol and tobacco use behaviors and improve the health outcomes of Black populations.

Disparities in Socioeconomic Factors Mediate the Impact of Racial Segregation Among Patients With Hepatopancreaticobiliary Cancer.

BACKGROUND: Structural racism within the U.S. health care system contributes to disparities in oncologic care. This study sought to examine the socioeconomic factors that underlie the impact of racial segregation on hepatopancreaticobiliary (HPB) cancer inequities. METHODS: Both Black and White patients who presented with HPB cancer were identified from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2005-2015) and 2010 Census data. The Index of Dissimilarity (IoD), a validated measure of segregation, was examined relative to cancer stage at diagnosis, surgical resection, and overall mortality. Principal component analysis and structural equation modeling were used to determine the mediating effect of socioeconomic factors. RESULTS: Among 39,063 patients, 86.4 % (n = 33,749) were White and 13.6 % (n = 5314) were Black. Black patients were more likely to reside in segregated areas than White patients (IoD, 0.62 vs. 0.52; p < 0.05). Black patients in highly segregated areas were less likely to present with early-stage disease (relative risk [RR], 0.89; 95 % confidence interval [CI] 0.82-0.95) or undergo surgery for localized disease (RR, 0.81; 95% CI 0.70-0.91), and had greater mortality hazards (hazard ratio 1.12, 95% CI 1.06-1.17) than White patients in low segregation areas (all p < 0.05). Mediation analysis identified poverty, lack of insurance, education level, crowded living conditions, commute time, and supportive income as contributing to 25 % of the disparities in early-stage presentation. Average income, house price, and income mobility explained 17 % of the disparities in surgical resection. Notably, average income, house price, and income mobility mediated 59 % of the effect that racial segregation had on long-term survival. CONCLUSION: Racial segregation, mediated through underlying socioeconomic factors, accounted for marked disparities in access to surgical care and outcomes for patients with HPB cancer.

How Trust in Cancer Information Has Changed in the Era of COVID-19: Patterns by Race and Ethnicity.

COVID-19 emerged during an era of heightened attention to systemic racism and the spread of misinformation. This context may have impacted public trust in health information about chronic diseases like cancer. Here, we examine data from the 2018 and 2020 Health Information National Trends Survey (N = 7,369) to describe how trust in cancer information from government health agencies, doctors, family and friends, charitable organizations, and religious organizations changed after COVID-19 became a pandemic, and whether that change varied by race/ethnicity. Statistical methods included chi-square tests and multiple logistic regression modeling. Overall, the proportion of respondents who reported a high degree of trust in cancer information from doctors increased (73.65% vs. 77.34%, p = .04). Trends for trust in information from government health agencies and family and friends varied significantly by race/ethnicity, with substantial declines observed among non-Hispanic Blacks (NHB) only. The odds of reporting a high degree of trust in cancer information from government health agencies and friends and family decreased by 53% (OR = 0.47, 95% CI = 0.24-0.93) and 73% (OR = 0.27, 95% CI = 0.09-0.82), respectively, among NHB, but were stable for other groups. Future studies should monitor whether recent declines in trust among NHB persist and unfavorably impact participation in preventive care.

Health System Structure: An Opportunity to Address Structural Racism and Discrimination.

OBJECTIVE: To examine the role of hub-and-spoke systems as a factor in structural racism and discrimination. BACKGROUND: Health systems are often organized in a "hub-and-spoke" manner to centralize complex surgical care to 1 high-volume hospital. Although the surgical health care disparities are well described across health care systems, it is not known how they seem across a single system's hospitals. METHODS: Adult patients who underwent 1 of 10 general surgery operations in 12 geographically diverse states (2016-2018) were identified using the Healthcare Cost and Utilization Project's State Inpatient Databases. System status was assigned using the American Hospital Association dataset. Hub designation was assigned in 2 ways: (1) the hospital performing the most complex operations (general hub) or (2) the hospital performing the most of each specific operation (procedure-specific hub). Independent multivariable logistic regression was used to evaluate the risk-adjusted odds of treatment at hubs by race and ethnicity. RESULTS: We identified 122,236 patients across 133 hospitals in 43 systems. Most patients were White (73.4%), 14.2% were Black, and 12.4% Hispanic. A smaller proportion of Black and Hispanic patient underwent operations at general hubs compared with White patients (B: 59.6% H: 52.0% W: 62.0%, P <0.001). After adjustment, Black and Hispanic patients were less likely to receive care at hub hospitals relative to White patients for common and complex operations (general hub B: odds ratio: 0.88 CI, 0.85, 0.91 H: OR: 0.82 CI, 0.79, 0.85). CONCLUSIONS: When White, Black, and Hispanic patients seek care at hospital systems, Black and Hispanic patients are less likely to receive treatment at hub hospitals. Given the published advantages of high-volume care, this new finding may highlight an opportunity in the pursuit of health equity.