Abstract

Abstract Background: The burden of cervix cancer diagnosis is most profound on the medically underserved, who do not have access to prevention and early detection methods for cervical cancer. Using Big Data, the impact of race, ethnicity, insurance status, and socioeconomic status is investigated in those diagnosed with this disease. Our hypothesis is that the burden in diagnosed cancer continues this pattern of afflicting those without ready or optimal access to care. Methods: Using data from the National Cancer Database (NCDB), which captures about 75% of all cancer care across the United States, patterns of care in cervix cancer patients were investigated. Multivariate Cox regression analysis and Kaplan Meier survival analysis were employed to assess the association between patient characteristics and disease outcomes. Results: Cervical cancer patients from 2004-2012 were identified, and 15,194 were identified for analysis. The standard of care was used in less than half of the patients (44.3%) and those patients treated per standard of care had improved overall survival of 93 versus 33 months (p<0.001). Patients with lower median household incomes (p<0.001), uninsured patients (p<0.001), Black patients (p=0.026), and Hispanic patients (p<0.001) all had poorer overall survival. Conclusions: The disparities in those diagnosed with cervical cancer extend to survival from this disease, with the underinsured, Black and Hispanic patients, and those with lower income households all having poorer survival from this disease. Improved access to care will both lower the diagnosis through vaccination and early detection, as well as improve outcomes in those who carry the diagnosis. Note: This abstract was not presented at the conference. Citation Format: Christine M. Fisher, Tyler Robin. Using Big Data to investigate disparities in cervix cancer survival: Racial and ethnic minorities and those with income and insurance disparities have worse overall survival from cervix cancer [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 B019.

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