ObjectiveThis study aimed to identify predictors associated with lower mortality in a population of women diagnosed and treated for breast cancer at a safety net hospital. MethodsFrom 2008-2014, 1,115 patients were treated for breast cancer at our academic safety net hospital. 208 were excluded due to diagnosis at an outside facility, and the remaining 907 (81%) formed the study cohort. Retrospective charts and imaging reviews looked at race, ethnicity, insurance status, social determinants of health, screening utilization, treatment regimen, and 7-13-year follow-up care, including the cause of death. Multivariable logistic regression modeling assessed mortality, and adjusted odds ratios (aOR) with 95% confidence intervals (CI) were computed. ResultsOf the 907 women, the mean age was 59 years (inter-quartile range 50-68 years), with 40% White, 46% Black, 4% Asian, and 10% Other. Increasing age (aOR=1.03, p=0.001) and more advanced stage at diagnosis (aOR=6.37, p<0.0001) were associated with increased mortality. There was no significant difference in mortality based on race or ethnicity (p>0.05). Of 494 with screening prior to diagnosis, longer screening time was observed for patients with advanced stage (median 521 days) vs. early stage (median 404 days), p=0.0004. Patients with Medicaid, insurance not specified, and no insurance were less likely to undergo screening before diagnosis than privately insured (all p<0.05). Shorter screening time was associated with lower all-cause mortality (aOR=0.57, 95% CI=0.36-0.89, p=0.013). DiscussionIn a safety net population, a more advanced stage at diagnosis was associated with higher mortality and lower odds of undergoing screening mammography in the two years prior to a breast cancer diagnosis. Early screening was associated with lower mortality. Finally, given no racial or ethnic differences in mortality, the safety net infrastructure at our institution effectively provides equitable cancer care once a cancer is confirmed.
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