title: Continuum of mammography use among US women: classification tree analysis.
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: Brown University School of Public Health, Department of Epidemiology, Providence, RI, USA. annie_gjelsvik@brown.edu.
authors.forename: Annie
authors.initials: A
authors.lastname: Gjelsvik
authors.affiliation: Brown University School of Public Health, Center for Population Health and Clinical Epidemiology, Providence, RI, USA.
authors.forename: Michelle L
authors.initials: ML
authors.lastname: Rogers
authors.affiliation: Brown University School of Public Health, Department of Epidemiology, Providence, RI, USA.
authors.forename: Melissa A
authors.initials: MA
authors.lastname: Clark
authors.affiliation: University of California at Irvine, Department of Statistics, Irvine, CA, USA.
authors.forename: Hernando C
authors.initials: HC
authors.lastname: Ombao
authors.affiliation: Brown University School of Public Health, Department of Behavioral and Social Sciences, Providence, RI, USA.
authors.forename: William
authors.initials: W
authors.lastname: Rakowski
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D040343:Behavioral Risk Factor Surveillance System; D015992:Body Mass Index; D001943:Breast Neoplasms / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D007182:Income; D019458:Insurance Coverage / Q000706:statistics & numerical data; D007348:Insurance, Health / Q000706:statistics & numerical data; D008327:Mammography / Q000706:statistics & numerical data*; D008875:Middle Aged; D010342:Patient Acceptance of Health Care; D012907:Smoking; D012959:Socioeconomic Factors; D014481:United States