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Breast cancer risk assessment in socioeconomically disadvantaged urban communities
Chyongchiou Jeng Lin1, Bruce Block, Mary Patricia Nowalk
1Department of Radiation Oncology, University of Pittsburgh School of Medicine, Shadyside Place, Suite 110, 580 S. Aiken Ave., Pittsburgh, PA 15232, USA. cjlin@pitt.edu
During 2005, a risk assessment tool based on the Gail model was used to calculate the five-year risk of developing breast cancer for 445 women who live in socioeconomically disadvantaged urban communities in western Pennsylvania and who attended health fairs and other community-sponsored activities. This tool allowed us to evaluate each woman and advise her of her risks in a process lasting 15-20 minutes. Of the 445 women, 71.7% were black and 21.6% had a higher than average risk. The proportion of white women at high risk was significantly greater than the proportion of black women at high risk (33.3% vs. 16.9%; P < 0.01). The Gail model assessment tool for use in low-income and minority populations holds promise because it is noninvasive, is easy to use and provides immediate data about risk. This risk communication may help encourage minority and low-income women to receive screening mammography. It has the potential to improve breast cancer screening rates.
During 2005, a risk assessment tool based on the Gail model was used to calculate the five-year risk of developing breast cancer for 445 women who live in socioeconomically disadvantaged urban communities in western Pennsylvania and who attended health fairs and other community-sponsored activities. This tool allowed us to evaluate each woman and advise her of her risks in a process lasting 15-20 minutes. Of the 445 women, 71.7% were black and 21.6% had a higher than average risk. The proportion of white women at high risk was significantly greater than the proportion of black women at high risk (33.3% vs. 16.9%; P < 0.01). The Gail model assessment tool for use in low-income and minority populations holds promise because it is noninvasive, is easy to use and provides immediate data about risk. This risk communication may help encourage minority and low-income women to receive screening mammography. It has the potential to improve breast cancer screening rates.
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