Cancer Causes & Control

, Volume 16, Issue 6, pp 701–712

Modeling the dissemination of mammography in the United States

  • Kathleen A. Cronin
  • Binbing Yu
  • Martin Krapcho
  • Diana L. Miglioretti
  • Michael P. Fay
  • Grant Izmirlian
  • Rachel Ballard-Barbash
  • Berta M. Geller
  • Eric J. Feuer
Research article

DOI: 10.1007/s10552-005-0693-8

Cite this article as:
Cronin, K.A., Yu, B., Krapcho, M. et al. Cancer Causes Control (2005) 16: 701. doi:10.1007/s10552-005-0693-8

Abstract

Objective: This paper presents a methodology for piecing together disparate data sources to obtain a comprehensive model for the use of mammography screening in the US population for the years 1975 – 2000. Methods: Two aspects of mammography usage, the age that a woman receives her first mammography and the interval between subsequent mammograms, are modeled separately. The initial dissemination of mammography is based on cross-sectional self report data from national surveys and the interval length between screening exams is fit using longitudinal mammography registry data. Results: The two aspects of mammography usage are combined to simulate screening histories for individual women that are representative of the US population. Simulated mammography patterns for the years 1994 – 2000 were found to be similar to observed screening patterns from the state level mammography registry for Vermont. Conclusions: The model presented gives insight into screening practices over time and provides an alternative public health measure for screening usage in the US population. The comprehensive description of mammography use from its introduction represents an important first step to understanding the impact of mammography on breast cancer incidence and mortality.

Keywords

mammographybreast cancer screeningpopulation-based sampledissemination.

Copyright information

© Springer 2005

Authors and Affiliations

  • Kathleen A. Cronin
    • 1
  • Binbing Yu
    • 2
  • Martin Krapcho
    • 2
  • Diana L. Miglioretti
    • 3
  • Michael P. Fay
    • 1
  • Grant Izmirlian
    • 4
  • Rachel Ballard-Barbash
    • 5
  • Berta M. Geller
    • 6
  • Eric J. Feuer
    • 1
  1. 1.Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, Applied Research BranchNational Cancer InstituteBethesdaUSA
  2. 2.Information Management Services Inc.Silver SpringUSA
  3. 3.Group Health CooperativeCenter for Health StudiesSeattleUSA
  4. 4.Biometry Research Group, Division of Cancer PreventionNational Cancer InstituteBethesdaUSA
  5. 5.Applied Research Program, Division of Cancer Control and Population SciencesNational Cancer InstituteBethesdaUSA
  6. 6.Office of Health Promotion ResearchUniversity of VermontBurlingtonUSA