In the last two decades, the death rate from breast cancer has fallen
by about seven percent in younger white women. However, in this period
African-American women, particularly older African-American women, have
experienced a 26 percent increase in mortality, despite having a lower
incidence of disease than their white counterparts. For all races of
women, mammography screening can potentially reduce mortality by up to
30 percent. Prior cost-effectiveness analyses of breast cancer screening
among general population have demonstrated that reduction in mortality
can be achieved at a reasonable cost per life year saved. However,
there are no data on whether additional expenditures to enhance the
cancer control process for African-American women, particularly older
African-American women, might affect the overall cost-effectiveness of
screening. To address this important gap in our knowledge, we have
assembled an experienced multi-disciplinary team of health economists,
geriatricians, mathematical modelers, oncologists, health service
researchers, decision analysts, and epidemiologists. We will extend
prior cost-effectiveness analyses by 1) using existing race-specific
data to develop a simulation model of the natural history of disease
specific to African-American women ages 50 to 74 years; 2) obtaining
primary data on the utilities for breast cancer outcomes among African-
Americans to generate quality-adjusted life-years (QALYs) as the outcome
of analysis; 3) including non-medical direct (e.g., patient
transportation costs, patient time costs); and 4) developing and
estimating sub-models which evaluate the incremental costs and effects
of programs specifically designed to improve the value of screening in
this high-risk population (e.g., programs designed to enhance breast
cancer screening use, prompt diagnosis after abnormal screening, and
adherence to recommended treatment). We hypothesize that the added
costs of targeted cancer control programs for vulnerable African-
American women will be offset by the gains in quality-adjusted life
years saved as a result of down-staging disease and improving treatment.
The results of such analysis will be useful to inform the optimal design
of health services delivery programs, and to highlight priority research
and service areas to ensure that we reach targeted levels of breast
cancer mortality reduction among all women in the US.
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