Multilevel predictors of guideline concordant needle biopsy use for non-metastatic breast cancer

Autor: Anja, Zgodic, Jan M, Eberth, Benjamin D, Smith, Whitney E, Zahnd, Swann A, Adams, Brian P, McKinley, Ronnie D, Horner, Mark A, O'Rourke, Dawn W, Blackhurst, Matthew F, Hudson
Rok vydání: 2021
Předmět:
Zdroj: Breast cancer research and treatment. 190(1)
ISSN: 1573-7217
Popis: Persistent breast cancer disparities, particularly geographic disparities, may be explained by diagnostic practice patterns such as utilization of needle biopsy, a National Quality Forum-endorsed quality metric for breast cancer diagnosis. Our objective was to assess the relationship between patient- and facility-level factors and needle biopsy receipt among women with non-metastatic breast cancer in the United States.We examined characteristics of women diagnosed with breast cancer between 2004 and 2015 in the National Cancer Database. We assessed the relationship between patient- (e.g., race/ethnicity, stage, age, rurality) and facility-level (e.g., facility type, breast cancer case volume) factors with needle biopsy utilization via a mixed effects logistic regression model controlling for clustering by facility.In our cohort of 992,209 patients, 82.96% received needle biopsy. In adjusted models, the odds of needle biopsy receipt were higher for Hispanic (OR 1.04, Confidence Interval 1.01-1.08) and Medicaid patients (OR 1.04, CI 1.02-1.08), and for patients receiving care at Integrated Network Cancer Programs (OR 1.21, CI 1.02-1.43). Odds of needle biopsy receipt were lower for non-metropolitan patients (OR 0.93, CI 0.90-0.96), patients with cancer stage 0 or I (at least OR 0.89, CI 0.86-0.91), patients with comorbidities (OR 0.93, CI 0.91-0.94), and for patients receiving care at Community Cancer Programs (OR 0.84, CI 0.74-0.96).This study suggests a need to account for sociodemographic factors including rurality as predictors of utilization of evidence-based diagnostic testing, such as needle biopsy. Addressing inequities in breast cancer diagnosis quality may help improve breast cancer outcomes in underserved patients.
Databáze: OpenAIRE