Mammography diffusion and trends in late-stage breast cancer: evaluating outcomes in a population

Cancer Epidemiol Biomarkers Prev. 1997 Aug;6(8):625-31.

Abstract

The purpose of this study was to assess mammography diffusion in a population offered an organized breast cancer screening program, using intervals of 1-3 years, and to evaluate its effect on the late-stage cancer (tumors > or = 3 cm2) rates compared to rates in the surrounding community. We measured "ever-use" of mammography (1986-1992) among women enrollees of a consumer-controlled health care organization (n > or = 60,000/year; ages > or = 40), Group Health Cooperative of Puget Sound (GHC). Among these same women and the surrounding community (n = > or = 745,000/year), we measured late-stage cancer rates. Using unconditional logistic regression, we compared annual rates of ever-use among GHC women ages 40-49 and > or = 50 (1986-1992) and late-stage breast cancer (1983/84-1991/92) among all women. Among all GHC women ages 40 to 49, and 50 years of age and older, 67.4 and 82.8%, respectively, ever-used mammography by 1992. By 1992, approximately one-third of the mammograms among GHC women occurred in each of the three previous years. The rate of late-stage tumors declined significantly in the GHC and non-GHC populations among women 50 years of age and older (P < 0.001) but not among women ages 40 to 49. In conclusion, implementing a system of automated reminders was not sufficient to maximize mammography use in a population. Reductions in late-stage disease occurred among women ages > or = 50, even when regular" was not synonymous with "annual."

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / pathology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Incidence
  • Mammography / statistics & numerical data*
  • Mass Screening / statistics & numerical data*
  • Middle Aged
  • Neoplasm Staging
  • Outcome and Process Assessment, Health Care
  • Patient Acceptance of Health Care / statistics & numerical data*
  • Risk Factors
  • Washington / epidemiology