Abstract
457 Background: The impact of hospital volume on the outcomes of cancer surgery has been well established. The present studies investigates how race/ethnicity influences the utilization of high-volume centers for hepatobiliary and pancreatic surgery. Methods: Patients that underwent surgery for hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (ICC), extrahepatic cholangiocarcinoma (ECC), ampullary adenocarcinoma (AC), or pancreatic ductal adenocarcinoma (PDAC) between 2006 and 2015 were identified from the National Cancer Data Base. Hospitals were divided into low- and high-volume centers based on the medium number of cancer surgeries per year. Multivariable logistic regression analyses predicting receipt of care at a low-volume center based on age, sex, race/ethnicity, comorbidities, insurance, income, travel distance, geographic location, urban/metro location, and tumor stage were performed. All analyses were performed separately by tumor type. Results: 8,962 patients with HCC, 2,119 with ICC, 3,973 with ECC, 5,125 with AC, and 25,231 with PDAC were identified. Non-Hispanic black patients were more likely to undergo resection for AC (vs. non-Hispanic white: AOR, 1.326; p = 0.0125) or PDAC (vs. non-Hispanic white: AOR, 1.187; p = 0.0002) at a low volume centers. Hispanic patients more often underwent surgery for ECC (vs. non-Hispanic white: AOR, 1.731; p < 0.0001) or PDAC (vs. non-Hispanic white: 2.030; p < 0.0001) cancer at a low-volume center. Patients of Asian descent were significantly less often treated for HCC at a low volume center (vs. non-Hispanic white: AOR, 0.644; p < 0.0001) compared to non-Hispanic whites. Non-Hispanic black, Hispanic, or Asian race/ethnicity did not impact the likelihood of receiving care at a low volume center for any other tumor types. Conclusions: The results of this study suggest that race/ethnicity influences the likelihood of receiving care at a high-volume cancer center, even after controlling for other barriers to access to care, including insurance status, income and travel distance.
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