Physician-level variation in axillary surgery in older adults with T1N0 hormone receptor–positive breast cancer.

Authors

null

Christina Ahn Minami

Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Breast Oncology Program, Dana Farber/Brigham and Women's Cancer Center, Boston, MA

Christina Ahn Minami, Ginger Jin, Rachel A. Freedman, Mara A. Schonberg, Tari A. King, Elizabeth A. Mittendorf

Organizations

Division of Breast Surgery, Department of Surgery, Brigham and Women's Hospital, Breast Oncology Program, Dana Farber/Brigham and Women's Cancer Center, Boston, MA, Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Boston, MA, Dana-Farber Cancer Institute, Boston, MA, Beth Israel Deaconess Medical Center, Boston, MA, Breast Oncology Program, Dana-Farber/Brigham and Women’s Cancer Center, Boston, MA, Dana-Farber Brigham Cancer Center, Boston, MA

Research Funding

Other Foundation
American College of Surgeons Faculty Research Fellowship.

Background: Randomized controlled trial data support safe omission of axillary surgery in patients >70 years old with T1N0 hormone receptor-positive (HR+) breast cancer, but utilization of axillary surgery in the U.S. remains > 80%. We sought to assess the proportion of variance in axillary surgery receipt that is attributable to surgeon-level differences vs. patient level differences, and assess the patient- and surgeon-level factors that affect axillary surgery receipt in this population. Methods: Women >70 years old with T1N0 HR+/HER2-negative breast cancer diagnosed from 2013-2015 in SEER-Medicare were linked to surgeon-level data from the American Medical Association Masterfile. Patients of low-volume surgeons (surgeons treating < 5 patients in this population over the study period) were excluded. To assess patient-and surgeon-level factors associated with axillary surgery receipt, we estimated hierarchical logistic regression models regressing receipt of axillary surgery on surgeon-specific random intercepts (null model). We then re-estimated this model including patient factors (age, Charlson Comorbidity Index (CCI), and a validated claims-based frailty index). Our final model included other surgeon-, patient-, and disease-level factors. The intracluster correlation (ICC) was used to estimate the proportion of total variance in the outcome attributable to the surgeon level. Results: Of 4,410 women included, 58.3% were >75 years old, 20.7% were frail, and 13.9% had a CCI>2; 86.1% of women underwent axillary surgery. Of 432 surgeons represented, 52.6% were female and 9.5% identified as surgical oncologists. In the null model, 10.5% of the variance in the axillary evaluation was attributable to the surgeon-level, with 89.5% attributable to patient-level differences (Table). Adjusting for key patient-level variables (age, CCI, and frailty status) reduced unexplained patient-level variance, resulting in a greater proportion of total unexplained variance attributable to the surgeon level (13%). In our final model, physician subspecialty and years in practice were non-significant, but patients of female surgeons were less likely to undergo axillary surgery (OR 0.69, 95% CI [0.51-0.95]). Conclusions: In older women with T1N0 HR+ disease, patient-level differences reassuringly account for most of the variation in receipt of axillary surgery. Drivers of residual patient-level variation may include unmeasured factors such as differences in surgeon-patient communication and patient preferences.

Variance in receipt of axillary surgery.

Proportion of Variance Attributable

to Surgeon Level (ICC)
Proportion of Variance Attributable

to Patient Level (1-ICC)
Model 1- Null
0.1053
0.8947
Model 2- adjusted for CCI
0.1073
0.8927
Model 3 - adjusted for frailty
0.1074
0.8926
Model 4 - adjusted for age
0.1273
0.8727
Model 5- adjusted for CCI+frailty+age
0.1299
0.8701

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Abstract Details

Meeting

2022 ASCO Quality Care Symposium

Session Type

Poster Session

Session Title

Poster Session A

Track

Cost, Value, and Policy,Health Care Access, Equity, and Disparities,Patient Experience

Sub Track

Provider Impact on Quality From the Patient Perspective

Citation

J Clin Oncol 40, 2022 (suppl 28; abstr 284)

DOI

10.1200/JCO.2022.40.28_suppl.284

Abstract #

284

Poster Bd #

G23

Abstract Disclosures