title: Geographic access and the use of screening mammography.
abstract: BACKGROUND
  Screening mammography rates vary geographically and have recently declined. Inadequate mammography resources in some areas may impair access to this technology. We assessed the relationship between availability of mammography machines and the use of screening.
  
  
  METHODS
  The location and number of all mammography machines in the United States were identified from US Food and Drug Administration records of certified facilities. Inadequate capacity was defined as <1.2 mammography machines per 10,000 women age 40 or older, the threshold required to meet the Healthy People 2010 target screening rate. The impact of capacity on utilization was evaluated in 2 cohorts: female respondents age 40 or older to the 2006 Behavioral Risk Factor Surveillance System survey (BRFSS) and a 5% nationwide sample of female Medicare beneficiaries age 65 or older in 2004-2005.
  
  
  RESULTS
  About 9% of women in the BRFSS cohort and 13% of women in the Medicare cohort lived in counties with <1.2 mammography machines per 10,000 women age 40 or older. In both cohorts, residence in a county with inadequate mammography capacity was associated with lower odds of a recent mammogram (adjusted odds ratio in BRFSS: 0.89, 95% CI: 0.80-0.98, P < 0.05; adjusted odds ratio in Medicare: 0.86, 95% CI: 0.85-0.87, P < 0.05), controlling for demographic and health care characteristics.
  
  
  CONCLUSIONS
  In counties with few or no mammography machines, limited availability of imaging resources may be a barrier to screening. Efforts to increase the number of machines in low-capacity areas may improve mammography rates and reduce geographic disparities in breast cancer screening.
authors.affiliation: Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA. elkine@mskcc.org
authors.forename: Elena B
authors.initials: EB
authors.lastname: Elkin
authors.forename: Nicole M
authors.initials: NM
authors.lastname: Ishill
authors.forename: Jacqueline G
authors.initials: JG
authors.lastname: Snow
authors.forename: Katherine S
authors.initials: KS
authors.lastname: Panageas
authors.forename: Peter B
authors.initials: PB
authors.lastname: Bach
authors.forename: Laura
authors.initials: L
authors.lastname: Liberman
authors.forename: Fahui
authors.initials: F
authors.lastname: Wang
authors.forename: Deborah
authors.initials: D
authors.lastname: Schrag
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D040343:Behavioral Risk Factor Surveillance System; D015331:Cohort Studies; D019719:Diagnostic Equipment / Q000600:supply & distribution*; D005260:Female; D005843:Geography; D006297:Health Services Accessibility; D006801:Humans; D008403:Mass Screening / Q000295:instrumentation*; D006278:Medicare; D008875:Middle Aged; D016217:Ultrasonography, Mammary / Q000295:instrumentation / Q000706:statistics & numerical data*; D014481:United States