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Background: The utilization of non-cancer-related screening tests may result in a screening-related comorbidity that also serves as a marker for overall increased preventive health care use, including for breast cancer detection. Previous studies have found that a diagnosis of either hypertension or cholesterol has been associated with earlier stage at diagnosis for breast cancer. We sought to replicate these findings in a racially and ethnically diverse sample of patients in the population-based Breast Cancer Care in Chicago (BCCC) study. Methods: Participants included 989 non-Hispanic White (NHW), African American (AA), and Hispanic female breast cancer patients diagnosed between 2005 to 2008 who completed an interview. All patients resided in Chicago, Illinois, and were between the ages of 30-79 years at the time of their first primary in situ or invasive breast cancer diagnosis. Comorbid conditions were defined from interviews and medical record abstractions. Multivariable logistic regression and Cox proportional hazards (PH) models were used to estimate the associations of comorbid conditions with mode of detection (screen-detected vs. symptomatic), breast cancer-specific survival (BCSS), and overall survival (OS). Results: Overall, 33% of BC patients had hypertension and 9% had high cholesterol (HC). A diagnosis of hypertension was not associated with mode of breast cancer detection or survival. Screen-detection was nearly 30 percentage points higher for patients with vs. without a diagnosis of HC (78% vs. 49%, PD=0.29, 95% CI: 0.19, 0.39). HC was present in 9% of NHW BC patients and 8% of AA and Hispanic BC patients. The association of HC with screen-detection varied widely by race/ethnicity, being strongest among AA patients (PD=0.41, 95% CI: 0.28, 0.54), more moderate for NHW patients (PD=0.27, 95% CI: 0.14, 0.40), and absent among Hispanic patients (PD=0.05, 95% CI: -0.21, 0.31). With adjustment for age, race/ethnicity, income, education, affluence, disadvantage, insurance status, presence of a regular provider, and time of last clinical breast exam and last mammogram, HC remained associated with screen-detection (PD=0.21, 95%CI: 0.10, 0.32). A diagnosis of high cholesterol was associated with a large but imprecise reduction in age-adjusted BCSS (HR=0.43, 95% CI: 0.14, 1.3) and OS (HR=0.50, 95% CI: 0.21, 1.1). Multivariable-adjusted HRs were 0.54 (95% 0.17, 1.7) and 0.55 (0.24, 1.2), respectively. Conclusion: High cholesterol may be a potent marker for contact with a primary care physician and willingness to utilize preventive services. We found a particularly strong association of high cholesterol with early detection among AA patients. This association remained after robust control for preventive breast health care variables, suggesting that it is an independent predictor of screen-detected BC. A larger study is required to have sufficient sample to examine subsequent associations with BCSS and OS among racial/ethnic subgroups. Citation Format: Alpana Kaushiva, Susan Hong, Katherine Tossas-Milligan, Garth Rauscher. Influence of cholesterol screening on breast cancer detection and survival in the Breast Cancer Care in Chicago Study [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 B112.

Background: Cervical cancer outcomes are influenced by race, socioeconomic status and region. African American women have the highest mortality rate from cervical cancer and Hispanic and American Indian/Alaska Native women have the highest cervical cancer incidence rates among racial/ethnic groups. Disparities in cervical cancer can be greatly improved by increasing access to and awareness of Pap screening and HPV vaccination among vulnerable populations. Safety net and community hospitals offer broader opportunities to reach at-risk individuals, however these hospitals face many challenges that mirror those of the patients they serve, including: decreased access to innovative research and treatment, decreased access to the full range of specialty care, and funding challenges. Public-Public partnerships between academic medical centers, cancer centers and private service organizations that extend to safety net and community hospitals can increase cervical cancer screening rates among individuals at greatest risk. Methods: The Loretto Hospital and Norwegian American Hospital serve communities that suffer the highest cervical cancer mortality rates in Chicago. Funded by the Bristol Myers Squibb Foundation, the University of Illinois Cancer Center partnered with these two community hospitals located on the west sides of Chicago to increase cervical cancer screening rates through clinical and community patient navigation. Evidence based methods such as small media interventions, client reminders, and one-on-one education will also be used to increase screening awareness and education. The evidence-based, implementation science program is guided by the RE-AIM framework. Reach, adoption and sustainability will be maximized through the integration of community hubs that comprise faith-, community-, school-based organizations and policy makers. Results: The project is a three year project. Now in its pre-implementation phase, the program is currently piloting data instrumentation and implementation processes. Preliminary results will be presented at the meeting. The Partnership development phase has been achieved and Full implementation will begin August 2019. Conclusion: It is expected that building partnerships between large academic medical centers, cancer centers and community hospitals will increase the capacity of community hospitals to offer quality screening and specialized care to community members and increase access to cervical cancer screening and education among at-risk populations ultimately decreasing cervical cancer disparities among underserved populations in the University of Illinois Cancer Center catchment. Citation Format: Vida Henderson, Jessica Madrigal, Jeanette Gonzalez, Erica Martinez, Katherine Tossas-Milligan, Patricia Doykos, Karriem Watson, Robert Winn. Building sustainable partnerships between cancer centers and safety net community hospitals to increase access to and quality of cancer care [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr A128.

Background As detection and treatment for breast cancer in the United States have improved, racial and ethnic disparities persist. Utilizing an implementation science framework to inform an evidence-based breast cancer screening and navigation program within Federally Qualified Health Centers (FQHCs) with community stakeholders can mitigate multiple barriers to breast cancer screening. Methods Utilizing an integrated theoretical framework of the Practical, Robust Implementation and Sustainability Model (PRISM) and the social ecological model (SEM), the University of Illinois Cancer Center, University of Illinois Hospital & Health Sciences System (UI Health) including Mile Square Health Centers (MSHC) FQHC, and the Chicago Department of Public Health (CDPH) developed a breast cancer screening and navigation program to tackle breast cancer disparities in Chicago among under-resourced women, known as the Mi-MAMO program. To increase access to screening services, patient navigators conducted community outreach and engagement activities. Program partnerships were forged with community-based organizations, healthcare systems and insurers. Program outcomes were monitored using standardized performance measures. Results Between January-December 2017, 103 women received a screening mammogram at MSHC. To increase screening rates, the Mi-MAMO program was started in August 2017. Between January-December 2018, the number of women who received a screening mammogram at MSHC increased to 1051. From August 2017 (start of program) to December 2018, 779 women received navigation to screening and/or diagnostic services through the Mi-MAMO program. The majority of women were uninsured (63.9%) and 95.5% were racial/ethnic minorities. Twenty-four percent (n=185) of women completed diagnostic services and ten women received positive breast cancer diagnoses (mean age 49.7 years). All diagnosed women were successfully navigated to treatment. The Mi-MAMO program is on-going. Conclusion Deploying an integrated framework that merges an implementation science and multi-level behavioral health framework for patient navigation programs has the potential to increase breast cancer screening utilization and awareness among under-resourced populations who may be at higher risk for breast cancer. Citation Format: Vida A Henderson, Katherine Tossas-Milligan, Erica Martinez, Barbara Williams, Paola Torres, Nasima Mannan, Lauren Green, Beti Thompson, Robert Winn, Karriem S Watson. Implementation of an integrated framework for a breast cancer screening and navigation program for under-resourced women [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C110.

Background: Non-Latina (nL) black women are diagnosed at later stages and with more aggressive forms of breast cancer than their nL white counterparts, including higher-grade tumors and those that lack estrogen and progesterone receptors (ER/PR negative). High breast density (HBD) is a strong risk factor for a late-stage breast cancer diagnosis among women undergoing mammography screening, yet nL black women are slightly less likely to have dense breasts according to the standard clinical classification method. We previously found that after adjusting for differences in obesity using body mass index (BMI), nL black women were substantially more likely to have dense breasts compared to nL white women. Dense breast tissue can mask tumors and cause them to go undetected at screening, only to arise later as a lump, discovered symptomatically when they later stage. It is also conceivable that dense breast tissue could predispose women to develop more aggressive breast cancers that grow more rapidly, are more likely to arise between screens as “true interval” cancers, and therefore might be detected with more frequent screening. We used path analysis (or structural equations modeling, SEM) to estimate the separate contributions of tumor masking and tumor aggressiveness in mediating HBD's associations with later stage, overall and by race. Methods: We used data on 4691 women from the Metropolitan Chicago Breast Cancer Registry, aged 40-79, and diagnosed at stages 1 (early), 2,3 or 4 (later), between 2001 and 2013. Breast density was obtained from the screening mammogram preceding diagnosis. Mode of detection was defined dichotomously as symptomatic versus screen detected. Path analysis (conducted in Mplus) was used to estimate the age, race, and BMI adjusted, direct and indirect effects of HBD on stage at diagnosis. Because estimates can vary depending on model assumptions, we ran simultaneous linear regression models and also ran simultaneous ordered probit regression models. In both sets of models we estimated the relative contributions of tumor masking and tumor aggressiveness in transmitting the association of HBD with stage at diagnosis. Results: A one-unit increase in BD was associated with a 9-percentage-point increased prevalence of later stage (stage 2,3,4, vs. 1) at diagnosis. Roughly one third of the HBD, later-stage association could be explained by tumor masking, and virtually none of the association could be explained by tumor aggressiveness. Similar results were obtained for linear and ordered probit models. Results were broadly similar for nL black and nL white women. Conclusion: Ours is the first analysis we are aware of to formally confirm via mediation analyses that tumor masking is the primary process through which women with dense breasts are disproportionately diagnosed at later stages. To reduce opportunities for tumor masking, women with dense breasts are often referred for supplemental/advanced imaging with breast MRI, ultrasound, or (increasingly) tomosynthesis. We think it is likely that the current criteria for referring women for advanced imaging based on breast density may contribute to racial disparities because (1) they do not account for the greater prevalence of more aggressive breast cancer in nL black patients, and (2) they do not account for the disproportionate prevalence of obesity among nL black women, which may obscure the usefulness of the usual clinical classification method of BMI in making referrals for supplemental imaging. Citation Format: Katherine Y. Tossas-Milligan, Garth H. Rauscher, Richard Campbell, Victoria Seewaldt. Tumor masking or tumor aggressiveness? A structural equations modeling approach to estimate the impact of breast density on breast cancer stage, overall and by race [abstract]. In: Proceedings of the Tenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2017 Sep 25-28; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2018;27(7 Suppl):Abstract nr PR08.

Background: African American (AA) women were until recently less likely to be diagnosed with breast cancer (BC) and remain more likely to die from the disease when compared to non-Latina (nL) White (White) counterparts. High mammographic breast density (HBD) is a well-established risk factor for developing BC, but there is no consensus in the literature regarding whether HBD varies by race/ethnicity (R/E). AA women have been reported to have lower breast density compared to nL Whites, Latinas and Asians in some but not all studies. Only a handful of studies have examined factors (e.g. BMI, age, parity, hormone therapy, menarche and menopause) that might account for racial/ethnic differences in HBD. Therefore, we endeavored to examine racial/ethnic differences in HBD and the potential role of socioeconomic status (SES), obesity and parity in observed racial/ethnic differences in a large cohort of women undergoing screening mammography. Methods: We used data on 133,983 women aged 40-79 undergoing their most recent screening mammogram between 2001 and 2015 within a large healthcare organization and whose R/E was nL White, nL Black, Latina, Native American, or Asian/Pacific Islander (Asian). At the screening mammogram, each breast received a breast density score from the interpreting radiologist using the American College of Radiology Breast Imaging Reporting and Data System (BIRADS 1-4), defined as fatty (BIRADS 1), scattered fibroglandular (BIRADS 2), heterogeneously dense (BIRADS 3) or extremely dense (BIRADS 4). We defined breast density as the maximum value of the two breast density scores. We defined HBD as a breast density BIRADS score of 3 or 4 (versus 1 or 2). SES was defined by creating two census-tract level, aggregate variables for disadvantage and affluence. Body mass index (BMI) was defined from patient reported height and weight. Women also reported their number of live-births (parity) and menopausal status. HBD was modeled in logistic regression with model-based standardization (predictive margins) to estimate age-adjusted prevalence of HBD by R/E, before and after including patient factors in the model that might explain R/E differences in HBD. Results: Lower BMI, lower parity, and higher socioeconomic status were each associated with HBD in all analyses (p Citation Format: Katherine Y. Tossas-milligan, Firas Dabbous, Therese Dolecek, Teresita Macarol, William Summerfelt, Garth Rauscher. Patient risk factors for high mammographic breast density and their contributions to ethnic differences in breast density. [abstract]. In: Proceedings of the Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2016 Sep 25-28; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(2 Suppl):Abstract nr PR09.

Background: It is well established that Non Latina (nL) Black patients are more likely than nL white (white) patients to be diagnosed with more aggressive forms of breast cancer. In addition, prior population-based research conducted in Chicago suggests that black women tend to be screened at lower resource facilities, and may also have screening images of lower quality and be more likely to have their breast cancer missed at interpretation. Consistent with all of these observations, black patients were more likely to report symptomatic awareness of their breast cancer despite a recent asymptomatic screening mammogram in the Breast Cancer Care in Chicago study. Therefore, black women may be more likely than their white counterparts to have a breast cancer diagnosis following a negative screen (so-called interval breast cancer). METHODS: The goal of the present study was to examine potential disparities in interval breast cancer (IBC) using data from approximately 30 mammography sites (including 8 hospital-based sites) within a single large health care organization in metropolitan Chicago. Methods: A screening mammogram was defined as a bilateral mammogram with a description of screening in the radiology database, in women without a prior history of breast cancer, mastectomy, or breast implants, and without any imaging in the 9 months prior to the screen. We linked 761,908 screening examinations conducted between 2001-2010 to breast cancer incidence data from the Illinois state cancer registry, using probabilistic methods. After excluding other race/ethnicities for this analysis, we identified 4829 breast cancers diagnosed between 2001 and 2011 and within 12 months of a screen. An interval breast cancer was defined as a breast cancer diagnosed within 12 months of a negative screening mammogram (BIRADS 1,2). IBC was modeled in logistic regression with generalized estimating equations (to account for multiple screens per woman) while adjusting for age, parity, breast density, race, family history, parity and exam year, ER status, tumor grade, and individual screening facility as covariates. Of the 31 facilities with data, 18 smaller screening facilities with less than 20 associated breast cancer diagnoses were collapsed into a single category. Model-based standardization (predictive margins) was used to estimate adjusted prevalence differences (PDs) in IBC from the logistic regression models, and 95% bias-corrected bootstrap confidence intervals were obtained (1000 replications). Results: Before adjusting for mammography site, black patients were, contrary to expectation, less likely to experience an IBC than white patients (1.36 vs. 1.83 per 1000 screens, adjusted Rate Difference or RD = - 0.47 per 1000 screens, p Conclusion: In this large healthcare organization, we observed a reverse disparity such that white patients were more likely than their black counterparts to experience an IBC, but the association disappeared when we took mammography site into account in the analysis. These results suggest that higher quality mammography screening resources are more widely accessible to black than white patients within this organization. Larger volume facilities within this organization tend to be located in urban areas with higher proportions of black women, whereas smaller standalone facilities tend to be located in the suburbs where there are a higher proportion of white women. These standalone facilities may be less likely to employ breast imaging specialists and less likely provide multimodality breast imaging in a multidisciplinary setting, and these differences may be contributing to differential access to quality screening that benefits black women. The larger implication of these findings is that at a population level, racial disparities in breast cancer could perhaps be ameliorated or even eliminated if resources were disproportionately made more available to black women. In order to overcome breast cancer disparities and create true equity in care, disproportionate resource allocation solutions may be necessary. This abstract is also presented as Poster C61. Citation Format: Garth H. Rauscher, Firas Dabbous, Terry Dolecek, Terry Macarol, Katherine Tossas-Milligan, Jenna Khan, Sarah Friedwald, Wm. Thomas Summerfelt. A reverse, racial disparity with respect to interval breast cancer rates within a large healthcare organization has implications for eliminating disparities more generally. [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr PR03.

Background: Non-Latina Black (black) women, despite their lower BC incidence, are more likely to die from breast cancer compared to their nL White (white) counterparts. While differential access to care, comorbidities and BC aggressiveness are potential contributors to this difference, the potential impact of HMD on this disparity has rarely been explored. For example, nL black women are disproportionately diagnosed with more aggressive tumors that lack estrogen and progesterone receptors (ER and PR) and that are high grade. Therefore, if the association of HMD with breast cancer incidence varied by tumor subtype this could have implications for disparities in breast cancer aggressiveness and subsequent outcomes. Most of the conclusions establishing high mammographic breast density (HMD) as a risk factor for increased breast cancer incidence are derived from studies conducted primarily in whites, which jeopardizes generalizability. We sought to estimate the association between HMD and breast cancer incidence separately for white and black women and by tumor subtype, using data from a single, large healthcare organization. Methods: We used data from screening mammograms performed in women ages 18-100, between 2001 and 2010, probabilistically linked to incident BC cases recorded in the Illinois State Cancer Registry (ISCR) during 2001-2011. Each screening mammogram received a breast density score from the interpreting radiologist using the American College of Radiology Breast Imaging Reporting and Data System (BIRADS 1-4), defined as fatty (BIRADS 1), scattered fibroglandular (BIRADS 2), heterogeneously dense (BIRADS 3) or extremely dense (BIRADS 4). A mean BIRADS breast density score was calculated using available scores from both breasts at each exam. The mean was dichotomized as high (mean BIRADS score > 2.5) versus low (mean BIRADS score ≤2.5) and the dichotomous variable was modeled in logistic regression with generalized estimating equations (to account for multiple screens per woman) to estimate the association between breast density and the probability of a breast cancer diagnosis within 12 months of the screen. Models included age, race, family history, parity and exam year as covariates, and separate models were estimated for black and white women. Odds ratios were interpreted as rate ratios (RR) due to the rarity of the outcome ( Results: Included in this analysis were 616,466 screens on 201,348 white or black women during 2001-2010, and 4,104 BC in 3,706 women during 2001-2011 (overall rate of 6.7 per 1000 screens, 6.7 for whites and 6.5 for blacks, p=0.21). There were disparities in the distribution of tumor subtypes: breast cancers diagnosed in black women were more likely to be ER negative (23% vs. 15%, p Discussion: Our findings reiterate high breast density as a risk factor for breast cancer incidence. In addition, we found that the association was of roughly equal magnitude among white and black women, and of roughly equal magnitude for ER negative and ER positive tumors. The stronger association of HMD with high grade tumors, however, implies that HMD may be a more detrimental risk factor for black women who are more likely to experience higher grade tumors than white women. Citation Format: Katherine Y. Tossas-Milligan, Firas Dabbous, Garth Rauscher. Is the influence of high mammographic breast density on breast cancer incidence the same for non-Latina black and white women? [abstract]. In: Proceedings of the Eighth AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 13-16, 2015; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2016;25(3 Suppl):Abstract nr C43.

Backround: In 2007, the Metropolitan Chicago Breast Cancer Taskforce (The Taskforce) was initiated to identify the reasons for an alarming Black/White breast cancer mortality gap in metropolitan Chicago and to propose solutions. One hypothesis raised was that unequal access to high quality breast cancer screening and treatment care may be a significant driver of Chicago's breast cancer disparity. While there is growing interest in the role of breast cancer screening quality in explaining black/white breast cancer mortality gap, there is no research to our knowledge assessing quality measures about the breast cancer screening processes within facilities across the state of Illinois. We summarize data and report trends on 11 breast cancer screening metrics from 3 years of mammography quality data surveillance for facilities in Illinois. Methods: The Taskforce collected aggregate data on 11 breast cancer screening quality metrics for calendar years 2006, 2009, and 2011, including the number of screening mammograms that: received follow-up imaging within 30 days and 12 months; received a biopsy recommendation within 12 months of the screen; resulted in a biopsy recommendation within 12 months; resulted in a biopsy (following recommendation) within 60 days and 12 months of the screen, respectively. Finally, we requested the number of cancers diagnosed within 12 months of an abnormal screening mammogram and the number of these that were minimal and early stage cancers. Data were analyzed for the 32 facilities that submitted metrics across all 3 years. The change in the mean number of benchmarks met was estimated using linear regression using a generalized estimating equations approach with exchangeable correlation matrix and robust standard errors to account for clustering by site. At each time point 95% confidence intervals were estimated. Results: Out of 11 possible metrics, the average number of benchmarks met by each facility for 2006, 2009 and 2011 was 4.88, 7.06 and 8.09, respectively. This represented a 0.65 increase in the overall mean number of benchmarks met by calendar year (95%CI=0.44, 0.75) (or an overall 1.61 increase in the overall mean number of benchmarks met per time point, 95%CI=1.16, 1.97). With respect to individual benchmarks, the proportion of facilities able to show that they met the benchmarks increased substantially between 2006 and 2011 for many benchmarks including cancer detection rate (0.66 to 0.91, p=0.008), proportion of breast cancers diagnosed as minimal (0.28 to 0.88, p=0.0000) and early stage (0.22 to 0.66, p=0.000). Other benchmarks remained unmet by a majority of facilities despite showing substantial improvement over time. These included timely imaging within 30 days of the screen (0.28 to 0.44, p=0.077), and timely biopsy within 60 days of the screen (0.13 to 0.42, p=0.002). Discussion: The American College of Radiology recommends that facilities meet certain additional quality benchmarks above and beyond the audit requirements of the Mammography Quality Standards Act. These include measuring the proportion of abnormal screening mammograms, timeliness of follow-up, extent of screen-detection (i.e., cancer detection rate for screening mammograms), and ability to detect small and early stage tumors. To date, none of these recommendations have been incorporated into MQSA guidelines. The results of this quality improvement project show an overall improvement across time in the average number of quality benchmarks institutions can demonstrate that they meet. Much of this improvement likely stems from an increased ability to collect and report the data needed to construct these measures. Lack of timeliness of diagnostic imaging and biopsy services remain a clear shortcoming for many facilities. Citation Format: Katherine Y. Tossas-Milligan, Bethliz Irizarry, AnneMarie Murphy, Garth H. Rauscher. Trends in mammography quality benchmarks met over time: Moving beyond the Mammography Quality Standards Act to address breast cancer disparities. [abstract]. In: Proceedings of the Seventh AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 9-12, 2014; San Antonio, TX. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2015;24(10 Suppl):Abstract nr B79.

Purpose: The purpose of this study was to use data collected from a recent Metropolitan Chicago Breast Cancer Task Force (MCBCTF) survey to explore racial/ethnic and socioeconomic disparities in access to screening and diagnostic services for breast cancer in Illinois and to compare equitable access to services for Chicago versus the rest of the state. Methods: Facilities that performed mammography were recruited to participate in a quality improvement project that included completing a facility survey. Participants who completed surveys received an increased mammogram reimbursement for Medicaid patients to equal the Medicare rate from the Illinois Department of Healthcare and Family Service. The survey included the following data elements: number of digital and analog machines, number of radiologists dedicated (>75% of their time) to breast imaging and number of general radiologists, number of dedicated and general mammography technicians, monthly volumes of screening and diagnostic mammograms, and whether breast ultrasound, MRI, or image-guided biopsy services were available at the site. In addition, sites reported the percentage of patients who were African-American (AA) or Hispanic, and the percentage of patients who were uninsured and on Medicaid, in categories of >10, 10-25, 25-40, 40-60, 60-75, 75-90, and >90%. Within each patient group defined by ethnicity and health insurance status, we estimated the number of screening mammograms performed separately for facilities with none, partial and sole reliance on dedicated radiologists, and separately by facility availability of breast MRI and image-guided biopsy. In all, 156 out of 359 facilities accredited by the Food and Drug Administration completed the survey, representing approximately 8.2 million screening mammograms conducted in calendar year 2012 in Illinois. Results: Overall, about 3/4 of screening mammograms were performed in nH whites and 4/5 in privately insured patients. Within the city of Chicago, 47% and 30% were performed in ethnic minorities and those without private insurance, compared to 21% and 15% in the rest of the state. Within Chicago, mammograms were more than twice as likely to be performed at facilities relying solely on dedicated radiologists when compared to the rest of the state (39% vs. 17%). In Chicago, non-Hipanic Whites were more likely than their AA and Hispanic counterparts to be screened at facilities relying solely on dedicated radiologists (50% vs. 27% and 15%, respectively) and at facilities with MRI (90% vs. 57% and 71%) and biopsy services (92% vs. 63% and 79%). In a similar manner, privately insured patients were more likely than Medicaid and uninsured patients to be screened at facilities that relied solely on dedicated radiologists (44% vs. 13% and 18%, respectively). When examining equitable access to these services for the rest of the state as a whole, very little was noted in the way of disparities by race/ethnicity or insurance status. Conclusions: Disparities in equitable access to breast cancer screening and diagnostic services exist within Chicago that are generally absent outside of the city. The concentration of academic medical centers within Chicago, while increasing access to quality breast healthcare, has also introduced racial/ethnic and socioeconomic disparities due to unequal access to these academic medical centers. Citation Format: Bethliz Irizarry, Katherine Y. Tossas-Milligan, Garth Rauscher, Anne Marie Murphy. Racial/ethnic and socioeconomic disparities in access to screening mammograms in a statewide sample of mammography facilities in Illinois. [abstract]. In: Proceedings of the Seventh AACR Conference on The Science of Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; Nov 9-12, 2014; San Antonio, TX. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2015;24(10 Suppl):Abstract nr B84.