Abstract PO5-09-05: Characteristics of newly diagnosed breast cancer patients at a large safety-net system: Implications for health equity and care delivery
Authors: Sarah Kashanian, Shifa Kanjwal, L. Steven Brown, Andrea Semlow, Mary Hodges, Robyn Cobb, Brad Walsh, Umber Dickerson, Navid Sadeghi
Journal: Cancer Research (2024)

Abstract Introduction: Despite the increased awareness and advocacy for health equity, racial and socioeconomic disparities remain prevalent among breast cancer patients. Since lack of access to care is a major barrier, safety-net systems that provide services for the uninsured/underinsured play a significant role in promoting health equity and eliminating disparities. Understanding the patient population treated within these systems, which are often resource-limited, can help develop strategies to improve care delivery and outcomes. Here, we describe characteristics of breast cancer patients treated at a large safety-net system. Methods: Parkland Health (PH) is the safety-net system for Dallas County, and is affiliated with the University of Texas Southwestern Harold C. Simmons Comprehensive Cancer Center (NCI-CCC). Electronic medical records of patients with a new invasive breast cancer diagnosis between 2018 to 2020 at PH were reviewed and data on demographics and clinical presentation were collected. Categorical data was summarized with counts and percentages and continuous data was summarized with median and interquartile range. Statistical comparisons used Chi-square test for categorical data and rank sum test for continuous data with a significance level of 0.05. Data from the National Cancer Database (NCDB) for the same period was used for comparison. Results: A total of 657 patients at PH were included in the analysis (50.2% Hispanic; 32.3% Black). Median age at diagnosis was 53 years (range 46-61), with 39.1% of patients &amp;lt; 50 (12.3% &amp;lt; 40). The majority of patients were uninsured at the time of diagnosis (67.0%). Hispanic patients were younger than others (median age 49 years (range 43-57) vs 57 (range 48-63), p &amp;lt; 0.01), with 51.2% &amp;lt; 50. Late-stage diagnosis was observed in 30.6% of patients (stage III 16.4%, stage IV 14.2%), and triple negative breast cancer (TNBC) accounted for 22.8% of cases. While the stage distribution was not statistically different between racial and ethnic subgroups (p=0.66), black patients were diagnosed with TNBC at a significantly higher rate compared to others (30.2% vs 19.3%, p &amp;lt; 0.01). Although a trend towards higher rate of HER2(+) disease was noted among Hispanics, this difference did not reach the level of statistical significance (22.7% vs 16.5%, p=0.06). One hundred eighty-nine patients (28.8%) were diagnosed outside PH. Compared to Black patients, Hispanic patients were more often diagnosed in the community (22.2% vs 32.4%, p=0.01). Of the 564 patients with stage I-III, 340 (60.3%) had T2-4 and 203 (36.0%) had node positive disease at diagnosis. Median time to treatment initiation (TTI) was 51 days (range 35-76) and was significantly longer in patients who were diagnosed in the community compared to those diagnosed at PH, median 63 days (range 44-96) vs 48 (range 34-70), p &amp;lt; 0.01. Compared to the NCDB, PH patients were younger (39.1% vs 18.4% &amp;lt; 50 years, p &amp;lt; 0.01), presented at a higher rate with late-stage disease (30.6% vs 13.2%, p &amp;lt; 0.01) and TNBC (22.8% vs 10.7%, p &amp;lt; 0.01), and had a longer median time from diagnosis to treatment initiation - 51 days (range 35-76) vs 33 (range 21-49), p &amp;lt; 0.01. Conclusion: Breast cancer patients at PH were significantly different from the national average, with over a third below the USPSTF recommended breast cancer screening age. The rate of late-stage diagnosis at PH was more than two-fold the national average. Lowering the screening age to 40, expansion of outreach mammography programs, improving patient navigation, and simplifying access to indigent care programs are among strategies to promote health equity. Considering the high disease burden among safety-net patients, a systematic effort to increase resources at safety-net health systems is warranted. Citation Format: Sarah Kashanian, Shifa Kanjwal, L. Steven Brown, Andrea Semlow, Mary Hodges, Robyn Cobb, Brad Walsh, Umber Dickerson, Navid Sadeghi. Characteristics of newly diagnosed breast cancer patients at a large safety-net system: Implications for health equity and care delivery [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-09-05.