The aim of this study was to investigate the association between geographic regions and ovarian cancer disparities in the United States. Data from the Surveillance, Epidemiology, and End Results (SEER) Program was used to identify women diagnosed with ovarian cancer. 18 registries were divided into two groups: South region and US14 region. Chi-Square tests were used to compare proportions, the logistic regression model to evaluate the association between 5-year survival and other variables, and the Cox proportional hazards model to estimate hazard ratios. The South region had a lower incidence rate than the US14 region (12.0 vs. 13.4 per 100,000), and a lower 5-year observed survival rate (37.5% vs. 39.8%). White women living in the US14 region had the best overall survival, compared to white women living in the South region, and black women living in both regions. Women in the South region were less likely to have insurance (6.6% vs. 2.7%, p<0.0001) and surgery (73.4% vs. 76.2%, p<0.0001). Women living in the South were 1.4 times more likely to die after five years of diagnosis than women living in the US14 region. The data confirmed regional disparities in ovarian cancer in the United States, showing women living in the South region were disadvantaged in ovarian cancer survival regardless of race, black or white. Future research focusing on the identification of contributing factors to regional disparity in ovarian cancer is necessary to develop practical approaches to improve health outcomes related to this lethal disease.
Keywords: Geographic Health Disparities; Ovarian Cancer; Survival.