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Determinants of surgeon referral and radiation therapy receipt following breast conservation among older women with early-stage breast cancer

Authors :
Erin F. Gillespie
Mira A. Patel
Simon N. Powell
Atif J. Khan
Zhigang Zhang
Lior Z. Braunstein
Oren Cahlon
Elaine Cha
Stephanie Lobaugh
Beryl McCormick
Monica Morrow
Publication Year :
2021
Publisher :
Research Square Platform LLC, 2021.

Abstract

Purpose Guidelines for early-stage breast cancer allow for radiotherapy (RT) omission following breast conserving surgery (BCS) among older women, though high utilization of RT persists. This study explores surgeon referral and the effect of a productivity-based bonus metric for radiation oncologists in an academic institution with centralized quality assurance (QA) review. Methods We evaluated patients ≥ 70 years of age treated with BCS for ER + pT1N0 breast cancer at a single institution between 2015–2018. The primary outcomes were radiation oncology referral and RT receipt. Covariables included patient and physician characteristics, and treatment decisions before versus after productivity metric implementation. Univariable generalized linear effects models explored associations between these outcomes and covariables. Results Of 703 patients included, 483 (69%) were referred to radiation oncology and 273 (39%) received RT (among those referred, 57% received RT). No difference in RT receipt pre- versus post- productivity metric implementation was observed (p = 0.57). RT receipt was associated with younger patient age (70–74 years, OR 2.66, 95% CI 1.54–4.57) and higher grade (grade 3, OR 7.75, 95% CI 3.33–18.07). Initial referral was associated with younger age (70–74, OR 5.64, 95% CI 3.37–0.45) and higher performance status (KPS ≥90, OR 5.34, 95% CI 2.63–10.83). Conclusion Non-referral to radiation oncology accounted for half of RT omission, but was based on age and KPS, in accordance with guidelines. Lack of radiation oncologist practice change in response to misaligned financial incentives is reassuring, potentially reflecting centralized QA review. Multi-institutional studies are needed to confirm these findings.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........0a3007ac1df3fc261d8014b6302b9b72
Full Text :
https://doi.org/10.21203/rs.3.rs-305708/v1