Setting quality improvement priorities for women receiving systemic therapy (ST) for early stage breast cancer (EBC) using population level administrative data.

Abstract

299 Background: Routine evaluation of evidence informed quality measures (QM) can drive improvement in cancer systems by highlighting potential gaps in care. Targeting quality improvement at QMs that demonstrate substantial variation has the potential to make the largest impact on quality at a population level. We aimed to use variation in performance to set priorities for improving the quality of ST for women with EBC. Methods: EBC cases diagnosed 2006 – 2010 in Ontario, Canada were identified in the Ontario Cancer Registry and linked deterministically to multiple health care databases. A panel of QMs, previously developed to be operationalized for administrative data, was applied to reflect the quality of ST. Each QM was evaluated in all patients who met the inclusion criteria for the individual measure. QMs were ranked based on institutional variation in performance using the mean absolute difference (MAD). Results: We identified 28,303 patients, treated at 84 institutions. The performance of each QM is listed in Table 1. Timely receipt of ST, febrile neutropenia (FN) secondary prophylaxis, emergency room visits or hospitalizations, receipt of hormonal therapy (HT) and the use of surveillance imaging represented the 5 QM that demonstrated the greatest variation. Conclusions: Considerable institutional-level variation highlights potentially actionable areas of improvement [Table: see text]