[Equity regarding early breast cancer screening according to health insurance status in Colombia]

Rev Salud Publica (Bogota). 2008 Aug-Oct;10(4):571-82. doi: 10.1590/s0124-00642008000400007.
[Article in Spanish]

Abstract

Objective: Evaluating equity regarding early breast cancer detection by comparing real access to and opportunity for mammography screening according to women's social health insurance status.

Methods: A retrospective follow-up study was conducted on women receiving breast cancer treatment in Bogotá, Cali, Medellin, Bucaramanga and Barranquilla between January 2005 and June 2006. A survey was carried out for collecting data about real access to and the opportunity of having mammography screening. OR and 95% confidence intervals were calculated (adjusted by multivariate logistical regression models) for establishing differences according to health insurance status. Possible interactions were investigated through verisimilarity log-like test.

Results: Women belonging to the contributory regime had a lower probability of real access to mammography screening for early detection of breast cancer than those affiliated to the subsidised regimen (OR=0,46; 0,26-0,72 95 %CI) and poor uninsured women (OR=0,36; 0,13-0,65 95 %CI). Educational level was also associated with real access to mammography, illiterate women having a lower probability of receiving mammography screening than literate women (OR=0,13; 0,02-0,30 95 %CI). Women having government-subsidised health insurance had a lower probability of accessing timely mammography screening (OR=0,10; 0,04-0,41 95 %CI).

Conclusions: Mammography screening for the early detection of breast cancer is not equitable and such inequality particularly affects the most vulnerable women.

Publication types

  • Comparative Study
  • Evaluation Study

MeSH terms

  • Breast Neoplasms / diagnosis*
  • Colombia
  • Confidence Intervals
  • Education
  • Female
  • Follow-Up Studies
  • Health Services Accessibility*
  • Humans
  • Insurance, Health*
  • Mammography / statistics & numerical data*
  • Mass Screening
  • Medically Uninsured*
  • Middle Aged
  • Multivariate Analysis
  • Poverty
  • Retrospective Studies
  • Rural Population
  • Social Security*
  • Socioeconomic Factors*
  • Urban Population