Objectives: To identify women with low mammography utilization. Methods: We used Classification Tree Analysis among women aged 42-80 from the 2008 Behavioral Risk Factor Surveillance System (N = 169,427) to identify sub-groups along a continuum of screening. Results: Women with neither a primary care provider nor health insurance had the lowest utilization (33.9%) and were 2.8% of the sample. Non-smoking women aged 55-80, with a primary care provider, health insurance, and income of $75,000 or more had the highest utilization (90.7%) and comprised 5% of the sample. Conclusion: As access to primary care providers and health insurance increases with the Affordable Care act, classification tree analyses may help to identify women of high priority for intervention.
- Breast cancer screening
- Classification tree analysis (CTA)
ASJC Scopus subject areas
- Health(social science)
- Social Psychology
- Public Health, Environmental and Occupational Health