title: Prevalence and correlates of repeat mammography among women aged 55-79 in the Year 2000 National Health Interview Survey.
abstract: BACKGROUND
  Utilization of mammography has increased steadily since the early 1990s. It is now important to expand the attention given to obtaining repeat examination. This study examines the prevalence and cross-sectional correlates of repeat mammography, among women aged 55-79, using a 12-month (N = 3,502) and a 24-month interval (N = 3,491).
  
  
  METHODS
  Data were from the Year 2000 Cancer Control Module of the National Health Interview Survey (NHIS-CCM). The NHIS-CCM asked about the most recent mammogram and the total number of mammograms over the prior 6 years. An algorithm estimated repeat mammography for the two intervals.
  
  
  RESULTS
  Prevalence estimates were 49% for the 12-month interval, and 64.1% for the 24-month interval. Correlates of lower likelihood of repeat mammography for both indicators were: no regular source of care, having public or no health insurance, less than a college education, household income less than $45K, not being married, current or never smoking, age 65-79, and lower absolute risk of breast cancer (Gail Model score).
  
  
  CONCLUSIONS
  A substantial percentage of women do not receive repeat mammography. The correlates of repeat mammography were similar to those often found for ever-had and recent mammography. There is probably some imprecision in the prevalence estimates due to the nature of NHIS-CCM questions. Issues pertinent to the definition of repeat examination are addressed.
authors.affiliation: Department of Community Health and The Center for Gerontology and Health Care Research, Brown University, Providence, RI 02912, USA. William_Rakowski@brown.edu
authors.forename: William
authors.initials: W
authors.lastname: Rakowski
authors.forename: Nancy
authors.initials: N
authors.lastname: Breen
authors.forename: Helen
authors.initials: H
authors.lastname: Meissner
authors.forename: Barbara K
authors.initials: BK
authors.lastname: Rimer
authors.forename: Sally W
authors.initials: SW
authors.lastname: Vernon
authors.forename: Melissa A
authors.initials: MA
authors.lastname: Clark
authors.forename: Andrew N
authors.initials: AN
authors.lastname: Freedman
mesh_terms: D000368:Aged; D004522:Educational Status; D005260:Female; D006306:Health Surveys; D006801:Humans; D007182:Income; D016015:Logistic Models; D008327:Mammography / Q000706:statistics & numerical data*; D008875:Middle Aged; D009309:National Center for Health Statistics, U.S.; D015995:Prevalence; D011314:Preventive Health Services / Q000706:statistics & numerical data*; D014481:United States / Q000453:epidemiology; D016387:Women's Health