Examining the Relationship between Anti-Black Racism, Community and Police Violence, and COVID-19 Vaccination.

In 2020, the COVID-19 pandemic emerged against a backdrop of long-standing racial inequities that contributed to significant disparities in COVID-19 mortality, morbidity, and eventually, vaccination rates. COVID-19 also converged with two social crises: anti-Black racism and community and police violence. The goal of this study was to examine the associations between community violence, police violence, anti-Black racism, and COVID-19 vaccination. Survey data were collected from a sample of 538 Black residents of Chicago between September 2021 and March 2022. Structural equation modeling was used to test associations between neighborhood violence, police violence, racism, medical mistrust, trust in COVID-related information, depressive symptoms, and having received a COVID-19 vaccination. In line with predictions, neighborhood violence had a significant indirect effect on vaccination via trust in COVID-related information from a personal doctor. Additionally, racism had a significant indirect effect on vaccination via trust in COVID-related information from a personal doctor, as well as via medical mistrust and trust in COVID-related information from a personal doctor. These findings add to the growing body of literature demonstrating the importance of medical mistrust when examining COVID-19 vaccination disparities. Furthermore, this study highlights the importance of considering how social and structural factors such as violence and racism can influence medical mistrust.

Supporting Retention in HIV Care: Comparing In-Person and Telehealth Visits in a Chicago-Based Infectious Disease Clinic.

The COVID-19 pandemic has created increased need for telehealth appointments. To assess differences in appointment adherence for telehealth compared to in-person HIV medical care visits, we conducted a cross-sectional study of patients receiving HIV care in a safety-net hospital-based outpatient infectious disease clinic in a large urban area (Chicago, IL). The sample (N = 347) was predominantly Black (n = 251) and male (62.5%, n = 217); with a mean age of 44.2 years. Appointment attendance was higher for telehealth (78.9%) compared to in-person (61.9%) appointments. Compared to patients without drug use, those with drug use had 19.4 percentage point lower in-person appointment attendance. Compared to those with stable housing, those in unstable housing arrangements had 15.0 percentage point lower in-person appointment attendance. Telehealth as a modality will likely have some staying power as it offers patients newfound flexibility, but barriers to telehealth need to be assessed and addressed.

Predictors of breast cancer mortality among white and black women in large United States cities: an ecologic study.

PURPOSE: We employed a city-level ecologic analysis to assess predictors of race-specific (black and white) breast cancer mortality rates. METHODS: We used data from the National Center for Health Statistics and the US Census Bureau to calculate 2010-2014 race-specific breast cancer mortality rates (BCMR) for 47 of the largest US cities. Data on potential city-level predictors (e.g., socioeconomic factors, health care resources) of race-specific BCMR were obtained from various publicly available datasets. We constructed race-specific multivariable negative binomial regression models to estimate rate ratios (RR) and 95% confidence intervals (CIs). RESULTS: Predictors of the white BCMR included white/black differences in education (RR 0.95; CI 0.91-0.99), number of religious congregations (RR 0.87; CI 0.77-0.97), and number of Medicare primary care physicians (RR 1.15; CI 1.04-1.28). Predictors of the black rate included white/black differences in household income (RR 1.03; CI 1.01-1.05), number of mammography facilities (RR 1.07; CI 1.03-1.12), and mammogram use (RR 0.93; CI 0.89-0.97). CONCLUSIONS: Our ecologic analysis found that predictors of breast cancer mortality differ for the black and white rate. The results of this analysis could help inform interventions at the local level.

HIV testing prevalence in selected Chicago community areas: the importance of local-level data.

While data on HIV testing prevalence is readily available at the national, state, and more rarely at the city level, few data are available on HIV testing at the community level, where public health initiatives may be most effectively implemented. Community-level data are necessary given that city, state, and national estimates mask variation occurring at the community level in large urban areas. This type of data is crucial for informing education efforts both within the community and among providers. The current study uses the Sinai Community Health Survey 2.0, a cross-sectional, population-based probability survey of adults in selected Chicago communities to determine the prevalence of ever tested for HIV by community area, sex, race/ethnicity, and age (n = 1496). Across the surveyed community areas, ever tested prevalence ranged from a low of 35% in Norwood Park (predominantly White) to a high of 85% in North Lawndale (predominantly Black). Ever tested differences by community area were statistically significant (Rao Scott chi-square p = 0.003). Across the sampled communities, 65% of females, 55% of males, 80% of Blacks, 62% of Puerto Ricans, 53% of Mexicans, and 44% of Whites had ever been tested for HIV (Rao Scott chi-square p < 0.01). Ever tested prevalence was highest in the 35-44 age group (72%) and lowest in the 65+ age group (33%) (Rao Scott chi-square p = 0.001). Local-level HIV screening data are integral to understanding where (geographically and among which sub-populations) additional services are needed and may also help in directing and securing funding for such services. The evidence suggests that success in identifying and linking HIV positive individuals to care is most likely to be found through a combination of healthcare- and non-healthcare-based initiatives. Ideally, efforts will be coordinated to encompass both of these settings.

Acute HIV Discovered During Routine HIV Screening With HIV Antigen-Antibody Combination Tests in 9 US Emergency Departments.

STUDY OBJECTIVE: Newer combination HIV antigen-antibody tests allow detection of HIV sooner after infection than previous antibody-only immunoassays because, in addition to HIV-1 and -2 antibodies, they detect the HIV-1 p24 antigen, which appears before antibodies develop. We determine the yield of screening with HIV antigen-antibody tests and clinical presentations for new diagnoses of acute and established HIV infection across US emergency departments (EDs). METHODS: This was a retrospective study of 9 EDs in 6 cities with HIV screening programs that integrated laboratory-based antigen-antibody tests between November 1, 2012, and December 31, 2015. Unique patients with newly diagnosed HIV infection were identified and classified as having either acute HIV infection or established HIV infection. Acute HIV infection was defined as a repeatedly reactive antigen-antibody test result, a negative HIV-1/HIV-2 antibody differentiation assay, or Western blot result, but detectable HIV ribonucleic acid (RNA); established HIV infection was defined as a repeatedly reactive antigen-antibody test result and a positive HIV-1/HIV-2 antibody differentiation assay or Western blot result. The primary outcomes were the number of new HIV diagnoses and proportion of patients with laboratory-defined acute HIV infection. Secondary outcomes compared reason for visit and the clinical presentation of acute HIV infection. RESULTS: In total, 214,524 patients were screened for HIV and 839 (0.4%) received a new diagnosis, of which 122 (14.5%) were acute HIV infection and 717 (85.5%) were established HIV infection. Compared with patients with established HIV infection, those with acute HIV infection were younger, had higher RNA and CD4 counts, and were more likely to have viral syndrome (41.8% versus 6.5%) or fever (14.3% versus 3.4%) as their reason for visit. Most patients with acute HIV infection displayed symptoms attributable to acute infection (median symptom count 5 [interquartile range 3 to 6]), with fever often accompanied by greater than or equal to 3 other symptoms (60.7%). CONCLUSION: ED screening using antigen-antibody tests identifies previously undiagnosed HIV infection at proportions that exceed the Centers for Disease Control and Prevention's screening threshold, with the added yield of identifying acute HIV infection in approximately 15% of patients with a new diagnosis. Patients with acute HIV infection often seek ED care for symptoms related to seroconversion.

Keys to the Successful Implementation of Community-Based Outreach and Navigation: Lessons from a Breast Health Navigation Program.

The well-documented racial disparities in breast cancer mortality have prompted an aggressive response from the public health community, including the development and implementation of breast health education and breast cancer navigation programs. Many programs are successfully reaching women and providing education and motivation to get screened, and separately, many programs are successfully navigating women who have received abnormal results from a screening mammogram and need follow-up. However, a crucial gap in services remains, where women in the community are not receiving systematic navigation to their initial screening mammogram. This paper describes a community-based, community health worker-led breast health education and screening navigation program, details the metrics used to measure navigation outcomes, and discusses unique features of this project which could be adapted within other settings to initiate similar programming.

Stroke mortality rates vary in local communities in a metropolitan area: racial and spatial disparities and correlates.

BACKGROUND AND PURPOSE: For the past decade, stroke has held steady as one of the top 4 leading causes of death in the United States. Aggregated data provide information about how the country or individual states are faring with respect to stroke mortality, but disaggregation provides data that may facilitate targeted interventions and community engagement. METHODS: We analyzed deaths from stroke to residents of Chicago to calculate age-adjusted stroke mortality rates (AASMRs). We calculated AASMRs for Chicago by race/ethnicity, sex, and community area. We also examined the correlation between AASMR and (1) racial/ethnic composition of a community area and (2) median household income. RESULTS: The AASMR for Chicago (44.9 per 100,000 population) was significantly higher than the national rate (42.2). Within both the United States and Chicago, the highest AASMRs were found among non-Hispanic blacks, followed by non-Hispanic whites, and then Hispanics. There was a strong, positive correlation between the proportion of black residents in a community area and the AASMR (0.58). There was a strong, negative relationship between household income and the AASMR for the entire city (-0.56) and for the predominantly black community areas (-0.47). CONCLUSIONS: These data provide insight into where the worst stroke mortality problems reside in Chicago. We anticipate that the data can be used to work toward the development of solutions to the high stroke mortality rates observed in several of Chicago's community areas and in similar communities throughout the United States.

Associations Between Religiosity and Medical Mistrust: An Age-Stratified Analysis of Survey Data from Black Adults in Chicago.

Medical mistrust is associated with poor health outcomes, ineffective disease management, lower utilization of preventive care, and lack of engagement in research. Mistrust of healthcare systems, providers, and institutions may be driven by previous negative experiences and discrimination, especially among communities of color, but religiosity may also influence the degree to which individuals develop trust with the healthcare system. The Black community has a particularly deep history of strong religious communities, and has been shown to have a stronger relationship with religion than any other racial or ethnic group. In order to address poor health outcomes in communities of color, it is important to understand the drivers of medical mistrust, which may include one's sense of religiosity. The current study used data from a cross-sectional survey of 537 Black individuals living in Chicago to understand the relationship between religiosity and medical mistrust, and how this differs by age group. Descriptive statistics were used to summarize data for our sample. Adjusted stratified linear regressions, including an interaction variable for age group and religiosity, were used to model the association between religiosity and medical mistrust for younger and older people. The results show a statistically significant relationship for younger individuals. Our findings provide evidence for the central role the faith-based community may play in shaping young peoples' perceptions of medical institutions.

Metrics for the systematic evaluation of community-based outreach.

There is an extensive literature on the use of community-based outreach for breast health programs. While authors often report that outreach was conducted, there is rarely information provided on the effort required for outreach. This paper seeks to establish a template for the systematic evaluation of community-based outreach. We describe three types of outreach used by our project, explain our evaluation measures, present data on our outreach efforts, and demonstrate how these metrics can be used to inform a project's decisions about which types of outreach are most effective.

Explaining Racial/Ethnic Variation in Partnered Women's and Men's Housework: Does One Size Fit All?

Using a national sample of 12,424 partnered women and 10,721 partnered men from the 2003-2006 American Time Use Survey, this article examines racial/ethnic variation in women's and men's housework time and its covariates. The ratio of women's to men's housework hours is greatest for Hispanics and Asians and smallest for Whites and Blacks. White and Hispanic women's housework hours are associated with household composition and employment suggesting that the time availability perspective is a good predictor for these women, but may have less explanatory power for other race/ ethnic groups of women. Relative resources also have explanatory power for White women's housework time but are weak predictors for women of Other race/ethnicities. Time availability and relative resource measures show some association with White men's housework time but are generally poor predictors among other race/ethnic groups of men, suggesting that traditional models of housework allocation do not "fit" all groups equally.

The Influence of Racism in Healthcare: COVID-19 Vaccine Hesitancy Among Black Mothers in Chicago.

Black mothers and children experience significant health disparities in the USA. These health disparities have been attributed, in part, to experiencing racism in healthcare. This study aimed to explore how experiences of healthcare discrimination and mistreatment experienced by Black mothers may influence COVID-19 vaccine beliefs and decision-making for themselves and their families. From April 2021 to November 2021, we conducted 50 semi-structured interviews among Chicago residents. Ten participants self-identified as female and with reported children; these data were extracted from the larger sample for data analysis. Interview content included perceptions and experiences with the COVID-19 vaccine and experiences with healthcare discrimination, mistreatment, and medical mistrust. Interview transcripts were transcribed verbatim and coded using the MAXQDA 2022 qualitative software. Themes were identified using a team-based thematic analysis to understand how experiences of racism in healthcare may influence COVID-19 vaccine decision-making. Four themes were generated from the data: (1) experiences of healthcare discrimination and mistreatment, (2) distrust and fears of experimentation, (3) the influence of discrimination and distrust on COVID-19 vaccine decision-making, and (4) overcoming vaccine hesitancy. The results of this study highlight the current literature; Black mothers experience racism and discrimination in healthcare when seeking care for themselves and their children. It is evident in their stories that medical racism and historical medical abuse influence vaccine decision-making. Therefore, healthcare and public health initiatives should be intentional in addressing past and present racism in healthcare to improve vaccine distrust.

The COVID-19, racism, and violence syndemic: Evidence from a qualitative study with Black residents of Chicago.

The COVID-19 pandemic emerged in the United States in the shadows of a vast history of structural racism and community and police violence that disproportionately affect Black communities. Collectively, they have created a syndemic, wherein COVID-19, racism, and violence are mutually reinforcing to produce adverse health outcomes. The purpose of this study was to understand the COVID-19, racism, and violence syndemic and examine how structural racism and violence contributed to the disproportionate impact of COVID-19 on Black communities. In early 2021, we conducted phenomenological qualitative interviews with 50 Black residents of Chicago. Interview transcripts were coded and analyzed using thematic analysis. We identified four primary themes in our analyses: 1) the intersection of racism and violence in Chicago; 2) longstanding inequities were laid bare by COVID-19; 3) the pervasiveness of racism and violence contributes to poor mental health; 4) and COVID-19, racism and violence emerged as a syndemic. Our findings underscore the importance of addressing social and structural factors in remediating the health and social consequences brought about by COVID-19.

Outcomes of a Pharmacist-Led Hepatitis C Virus Treatment Program in an Urban Safety-Net Health System, Chicago, 2017-2019.

OBJECTIVE: A recommendation in March 2020 to expand hepatitis C virus (HCV) screening to all adults in the United States will likely increase the need for HCV treatment programs and guidance on how to provide this service for diverse populations. We evaluated a pharmacist-led HCV treatment program within a routine screening program in an urban safety-net health system in Chicago, Illinois. METHODS: We collected data on all patient treatment applications submitted from January 1, 2017, through June 30, 2019, and assessed outcomes of and patient retention in the treatment cascade. RESULTS: During the study period, 203 HCV treatment applications were submitted for 187 patients (>1 application could be submitted per patient): 49% (n = 91) were aged 55-64, 62% (n = 116) were male, 67% (n = 125) were Black, and 15% (n = 28) were Hispanic. Of the 203 HCV treatment applications, 87% (n = 176) of patients were approved for treatment, 91% (n = 161) of whom completed treatment. Of the 161 patients who completed treatment, 81% (n = 131) attended their sustained virologic response (SVR) follow-up visit, 98% (n = 129) of whom reached SVR. The largest drop in the treatment cascade was the 19% decline from receipt of treatment to SVR follow-up visit. CONCLUSION: The pharmacist-led model for HCV treatment was effective in navigating patients through the treatment cascade and achieving SVR. Widespread implementation of pharmacist-led HCV treatment models may help to hasten progress toward 2030 HCV elimination goals.

A Community-Informed Approach to COVID-19 Vaccine Roll-Out in Under-served Areas in Chicago.

The availability of the COVID-19 vaccine in the US created an urgent need for strategies to achieve widespread vaccine distribution, but approaches to achieving equitable distribution, including reaching communities of color, varied across the country. To add to the knowledge base around targeted vaccine roll-out among underserved communities, the current study presents results from patient vaccination data and staff interviews conducted at Sinai Chicago, a safety-net healthcare system serving under-resourced communities. A total of 11,313 patients received at least one dose of Pfizer or Moderna COVID-19 vaccine between January and October 2021 at a Sinai Chicago facility. The sample was primarily comprised of Hispanic and non-Hispanic Black persons, with a mean age of 47 years, and was split evenly between female and male individuals. Compared to non-Hispanic White persons, Hispanic persons were 1.4 times more likely to have completed the full course of vaccination, while non-Hispanic Black persons were 40% less likely. People ages 18-24 were less likely to be fully vaccinated compared to all other adult age groups. Compared to privately insured persons, publicly insured persons were 40% less likely to have been fully vaccinated. The vaccine roll-out approach focused on educating the community through town halls and targeted messaging to address common myths and misconceptions about the vaccine, as well as developing the necessary infrastructure to administer the vaccine in a variety of community settings. This study illustrates COVID-19 vaccine roll-out in an under-resourced urban area in Chicago and provides insight on future implementation of vaccine intervention in hard to reach communities.

Routine Screening and Linkage to Care for Hepatitis C Virus in an Urban Safety-Net Health System, 2017-2019.

OBJECTIVE: Hepatitis C virus (HCV) is a major threat to public health in the United States. We describe and evaluate an HCV screening and linkage-to-care program, including emergency department, inpatient, and outpatient settings, in an urban safety-net health system in Chicago. METHODS: Sinai Health System implemented a universal HCV screening program in September 2016 that offered patient navigation services (ie, linkage to care) to patients with a positive result for HCV on an RNA test. We collected data from February 1, 2017, through January 31, 2019, on patient demographic characteristics, risk factors, and various outcomes (eg, number of patients screened, test results, proportions of new diagnoses, number of patients eligible for patient navigation services, and proportion of patients who attended their first medical appointment). We also examined outcomes by patients' knowledge of infection. RESULTS: Of 21 018 people screened for HCV, 6% (1318/21 018) had positive test results for HCV antibody, 68% (878/1293) of whom had positive HCV RNA test results. Of these 878 patients, 68% were born during 1945-1965, 68% were male, 65% were Black, 19% were Latino, 55% were newly diagnosed, and 64% were eligible for patient navigation services. Risk factors included past or current drug use (53%), unemployment (30%), and ever incarcerated (21%). Of 562 patients eligible for navigation services, 281 (50%) were navigated to imaging services, and 203 (72%) patients who completed imaging attended their first medical appointment. CONCLUSION: Patient navigation played a critical role in linkage success, but securing stable, long-term financial support for patient navigators is a challenge.

Homicide Mortality Inequities in the 30 Biggest Cities in the U.S.

INTRODUCTION: Homicide is a leading cause of death across the U.S., and it disproportionally affects Blacks in urban areas. This study fills a gap in the literature by examining homicide mortality and Black-White homicide disparities in the 30 biggest U.S. cities and for the entire U.S. across 2 time periods (2008-2012 and 2013-2017). METHODS: Using data from the National Vital Statistics System for 2008-2017, this study calculated age-adjusted homicide mortality rates (per 100,000) for the total, White, and Black populations in the 30 biggest cities, and the U.S. Black-to-White rate ratios were calculated to examine homicide mortality across the time periods. Data were analyzed in 2020. RESULTS: A total of 26 cities were included in the final analysis. Results show that U.S. homicides increased slightly but significantly across the time periods (p<0.05). A total of 6 cities saw significant increases in homicides and 5 saw significant decreases. Homicide mortality rates were 1.8 times to >20 times greater for Blacks than for Whites, and these disparities persisted across the time periods for most cities. Only 2 of 26 cities had mortality rates and racial inequities in rates that were lower than the national average. CONCLUSIONS: Homicide mortality increased slightly across the U.S. and most cities from 2008 to 2017. The majority of cities faced high homicide mortality rates and large inequities. Black-White disparities in homicide remain substantial at the national and city levels. These findings can inform city leaders in their efforts to address the homicide, violence, and racial inequities associated with them through the implementation of policies and programs.

Predictors of Food Insecurity in Selected Chicago Community Areas.

OBJECTIVE: Examine associations between food insecurity and multiple demographic, socioeconomic, acculturation, social risk factor, and food access variables. DESIGN: Data are from Sinai Community Health Survey 2.0, a cross-sectional, population-based probability survey of adults. SETTING: Ten selected community areas in Chicago. PARTICIPANTS: Adults aged 18 years and over who completed the Household Food Security Scale (HFSS) portion of the survey were included in the analysis (n = 1,041). MAIN OUTCOME MEASURES: Food insecurity as defined by the HFSS was the dependent variable. Independent variables included multiple demographic, socioeconomic, acculturation, social risk factor, and food access variables. ANALYSIS: Multivariate logistic regression, along with a manual backward selection process, was used to examine predictors of food insecurity. A P of .05 was used to determine statistical significance. RESULTS: Respondents reporting English as their primary language (odds ratio [OR] = 0.31; P = .002) had significantly lower odds of experiencing food insecurity. Respondents who reported feeling lonely (OR = 1.86; P = .024) had significantly higher odds of experiencing food insecurity. Emergency food use (OR = 3.89; P = .001) and food stamp benefit receipt (OR = 2.79; P = .001) were also associated with food insecurity. Race/ethnicity demonstrated a strong relationship with food insecurity in early models, but this relationship appeared to be mediated by language and social risk factors. In the final adjusted model, most demographic and socioeconomic variables, including race/ethnicity, gender, and education were not significantly associated with food insecurity. CONCLUSIONS AND IMPLICATIONS: The burden of food insecurity was not shared equally across populations. This analysis sheds light on significant predictors of food insecurity in several diverse communities in Chicago. Findings can help inform tailored interventions by guiding food assistance programs to those most in need.

Disparity in breast cancer mortality by age and geography in 10 racially diverse US cities.

OBJECTIVES: Assess geographic variation in breast cancer racial mortality disparity by age cohorts in US and ten cities with large African American populations. METHODS: Non-Hispanic Black (NHB) and Non-Hispanic White (NHW) female breast cancer mortality rates and NHB:NHW rate ratio (RR) (disparity) were calculated by four age group categories: <40, 40-49, 50-64 and 65+ with time period 1999-2013. RESULTS: In all 10 cities and the US, the most pronounced breast cancer disparities, measured by RR, were seen among younger women. In age group <40, the RR ranges from 1.71 in Houston to 5.37 in Washington, DC. For age group 50-64, the disparity was less pronounced, ranging from 1.24 in New York to 1.72 in Chicago. For 65+ age group, there was wide city to city variation in breast cancer mortality disparity. Three cities had higher mortality for NHW compared to NHB; Baltimore 0.78, Washington DC 0.94 and New York 0.98. One city had no statistically significant racial variation in breast cancer mortality in this age group and six cities had increased NHB: NHW mortality disparities. CONCLUSIONS: While the mortality rate for breast cancer is lower among younger women, the NHB:NHW disparities, as measured by rate ratios, are most pronounced in these age groups. Given the absence of available data regarding incidence, stage and subtypes, further research is necessary and such research is important, given the possible policy implications of these results with respect to screening guidelines and coverage for mammography and breast cancer treatment in particular for younger NHB women.

Breast Cancer Prevalence and Mortality among Hispanic Subgroups in the United States, 2009-2013.

Background. This paper presents data on breast cancer prevalence and mortality among US Hispanics and Hispanic subgroups, including Cuban, Mexican, Puerto Rican, Central American, and South American. Methods. Five-year average annual female breast cancer prevalence and mortality rates for 2009-2013 were examined using data from the National Health Interview Survey (prevalence) and the National Center for Health Statistics and the American Community Survey (mortality rates). Results. Overall breast cancer prevalence among US Hispanic women was 1.03%. Although the estimates varied slightly by Hispanic subgroup, these differences were not statistically significant. The breast cancer mortality rate for Hispanics overall was 17.71 per 100,000 women. Higher rates were observed among Cubans (17.89), Mexicans (18.78), and Puerto Ricans (19.04), and a lower rate was observed among Central and South Americans (10.15). With the exception of the rate for Cubans, all Hispanic subgroup rates were statistically significantly different from the overall Hispanic rate. Additionally, all Hispanic subgroups rates were statistically significantly higher than the Central and South American rate. Conclusion. The data reveal significant differences in mortality across Hispanic subgroups. These data enable public health officials to develop targeted interventions to help lower breast cancer mortality among the highest risk populations.

Black:white disparities in breast cancer mortality in the 50 largest cities in the United States, 2005-2014.

INTRODUCTION: This paper presents race-specific breast cancer mortality rates and the corresponding rate ratios for the 50 largest U.S. cities for each of the 5-year intervals between 2005 and 2014. METHODS: The 50 largest cities in the U.S. were the units of analysis. Numerator data were abstracted from national death files where the cause was malignant neoplasm of the breast (ICD-10=C50) for women. Population-based denominators were obtained from the U.S. Census Bureau for 2010-2014. To measure the racial disparity, we calculated Black:White rate ratios (RRs) and confidence intervals for each 5-year period. To determine whether changes over time in the disparity were statistically significant, we calculated a 2-sided z score for the change in the relative percent difference between the Black and White rates for 2005-2009 and 2010-2014. RESULTS: At the most recent time point (2010-2014), the RR was significantly greater than 1.00 in the US and 24 cities. The change in the Black:White disparity was statistically significant in five cities and the US. The percent difference increased significantly in Atlanta, GA (from 4.1 to 117.4, p<0.001); San Antonio, TX (from 24.4 to 79.3, p=0.034); and the US (from 39.7 to 43.1, p=0.007). The percent difference decreased significantly in Memphis, TN (from 111.0 to 68.9, p=0.043); Philadelphia, PA (from 43.1 to 23.5, p=0.049); and Boston, MA (from 48.9 to 0.7, p=0.022). CONCLUSION: This analysis provides updated city-level breast cancer mortality data for Black and White women through 2014, and reveals that in the US and 24 of the 43 largest US cities, Black women continue to die from breast cancer at a higher rate than their White counterparts. Importantly, however, a few cities, Memphis, Boston and Philadelphia, showed a decrease in the Black:White breast cancer mortality disparity between 2005-2009 and 2010-2014.