Publication

Intervention Approaches for Addressing Breast Cancer Disparities among African American Women

Downloadable Content

Persistent URL
Last modified
  • 05/14/2025
Type of Material
Authors
    Steven Coughlin, Emory University
Language
  • English
Date
  • 2014-09-08
Publisher
  • Austin Publishing Group
Publication Version
Copyright Statement
  • Coughlin. © All rights are reserved
License
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 2472-3649
Volume
  • 1
Issue
  • 1
Abstract
  • African American women in the U.S. have a higher mortality rate from breast cancer than white women. Black-white differences in survival persist even after accounting for disease stage and tumor characteristics suggesting that the higher rates of breast cancer mortality are due to social factors. Several factors may account for racial differences in breast cancer mortality including socioeconomic factors, access to screening mammography and timely treatment, and biological factors. Efforts to prevent deaths from breast cancer and to address breast cancer disparities have focused on early detection through routine mammography and timely referral for treatment. There is a need for culturally appropriate, tailored health messages for African American women to increase their knowledge and awareness of health behaviors for the early detection of breast cancer. Several promising intervention approaches are reviewed in this article including: 1) the use of cell phone text messaging and smart phone apps to increase breast cancer screening; 2) the use of radio stations that target African American audiences (“black radio”) for health promotion activities; and 3) church-based behavioral interventions to promote breast cancer screening among African American women.
Author Notes
  • *Corresponding author: Steven Coughlin, Department of Epidemiology, Rollins School of Public Health, Emory University, 62 N. Main Street, no. 510, Memphis, TN 38103, USA
Keywords
Research Categories
  • Health Sciences, Oncology

Tools

Relations

In Collection:

Items