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   <subfield code="a">Socioeconomic and Racial Differences in Treatment for Breast Cancer at a Low-Volume Hospital</subfield>
   <subfield code="h">[Elektronische Daten]</subfield>
   <subfield code="c">[Amanda Kong, Tina Yen, Liliana Pezzin, Haiyan Miao, Rodney Sparapani, Purushottam Laud, Ann Nattinger]</subfield>
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   <subfield code="a">Purpose: Population-based studies have revealed higher mortality among breast cancer patients treated in low-volume hospitals. Other studies have demonstrated disparities in race and socioeconomic status (SES) in breast cancer survival. The purpose of our study was to determine whether nonwhite or low-SES patients are disproportionately treated in low-volume hospitals. Methods: A population-based cohort of 2,777 Medicare breast cancer patients who underwent breast cancer surgery in 2003 participated in a survey study examining breast cancer outcomes. Information was obtained from survey responses, Medicare claims, and state tumor registry data. Results: On univariate analysis, patients treated at low-volume hospitals were less likely to be white, less likely to live in an urban location, and more likely to have a low SES with less social support and live a greater distance from a high-volume hospital. Education, marital status, total household income, having additional insurance besides Medicare, population density of primary residence, and tangible support were associated with distance to the nearest high-volume hospital. On multivariate analysis, the independent predictors of treatment at a low-volume hospital were being nonwhite (P=0.003), having a lower household income (P&lt;0.0001), residence in a rural location (P=0.01), and living a greater distance from a high-volume hospital (P&lt;0.0001). Conclusions: In this large population-based cohort, women who were poorer, nonwhite, and who lived in a rural location or at a greater distance from a high-volume hospital were more likely to be treated at low-volume hospitals. These differences may partially explain racial and SES disparities in breast cancer outcomes.</subfield>
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