An analysis of multilevel factor contributions to breast cancer screening inequities in an academic health system.

ABSTRACT:

Background

Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.

Methods

The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS. They evaluated individual-level, provider-level, and clinic-level factors. They conducted logistic regression and Blinder-Oaxaca (BO) decomposition analyses to quantitatively estimate the con

SUBMITTER: Marcotte LM 

PROVIDER: S-EPMC12764376 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature