Social Determinants of Health and Oral Cavity Cancer Treatment and Survival: A Competing Risk Analysis.

Abstract

Competing risk analysis is a powerful assessment for cancer risk factors and covariates. This method can better elucidate insurance status and other social determinants of health covariates in oral cavity cancer treatment, survival, and disparities. Retrospective cohort study using the Surveillance, Epidemiology, and End Results (SEER) database. Data regarding patient characteristics, clinical stage at diagnosis, treatment, and survival data for 20,271 patients diagnosed with oral cavity cancer was extracted from the SEER 18 Regs Research Data including Hurricane Katrina Impacted Louisiana Cases from 1973 to 2014. All statistical analyses were performed using SAS 9.5 (SAS Institute Inc., Cary, NC). The Fine-Gray method for assessing impact, risk, and covariates was employed. Medicaid patients presented with later stage disease, larger tumor size, more distant metastases, and more lymph node involvement at diagnosis compared to insured patients. Medicaid patients were less likely to receive cancer-directed surgery. Medicaid status was also associated with worse cancer-specific survival (subhazard ratios 1.87, 95% confidence interval 1.72-2.04, P < .0001) after adjustment for all covariates. This is the first study examining specifically how Medicaid status and social determinants of health covariates impact oral cavity cancer treatment and outcomes and is the first using methods validated for complex covariates. Patients with Medicaid present with more extensive oral cavity disease burden are less likely to receive definitive therapy and have significantly worse overall survival than those with other forms of insurance. This better identifies disparities and the need for improving health literacy, specifically for the at-risk Medicaid population, and can guide clinicians. NA Laryngoscope, 130:2160-2165, 2020.