What drives variation in spending for breast cancer patients within geographic regions?

Abstract

OBJECTIVE\nTo estimate and describe factors driving variation in spending for breast cancer patients within geographic region.\n\n\nDATA SOURCE\nSurveillance, Epidemiology, and End Results (SEER)-Medicare database from 2009-2013.\n\n\nSTUDY DESIGN\nThe proportion of variation in monthly medical spending within geographic region attributed to patient and physician factors was estimated using multilevel regression models with individual patient and physician random effects. Using sequential models, we estimated the contribution of differences in patient and disease characteristics or use of cancer treatment modalities to patient-level and physician-level variance in spending. Services associated with high spending physicians were estimated using linear regression.\n\n\nDATA EXTRACTION METHOD\nA total of 20\xa0818 women with a breast cancer diagnosis in 2010-2011.\n\n\nPRINCIPAL FINDINGS\nWe observed substantial between-patient and between-provider variation in spending following diagnosis and at the end-of-life. Immediately following diagnosis, 48% of between-patient and 31% of between-physician variation were driven by differences in delivery of cancer treatment modalities to similar patients. At the end-of-life, patients of high spending physicians had twice as many inpatient days, double the chemotherapy spending, and slightly more hospice days.\n\n\nCONCLUSIONS\nSimilar patients receive very different treatments, which yield significant differences in spending. Efforts to reduce unwanted variation may need to target treatment choices within patient-doctor discussions.