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Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
Published on: August 30, 2013
Retrospective cost-effectiveness analysis of screening mammography
Natasha K Stout1, Marjorie A Rosenberg, Amy Trentham-Dietz
1Center for Risk Analysis, Harvard School of Public Health, Boston, MA 02115, USA. nstout@hsph.harvard.edu
Journal of the National Cancer Institute
|June 8, 2006
Summary
Routine mammography screening offers benefits but incurs significant costs. Alternative screening strategies could yield more quality-adjusted life-years (QALYs) at a lower societal expense than current U.S. practices.
Area of Science:
- Health Economics
- Public Health Policy
- Breast Cancer Screening
Background:
- Mammography screening is widely recommended for women over 40, with over 70% participation.
- Societal impact of screening costs and quality-adjusted life-years (QALYs) remains understudied.
- This study retrospectively analyzes U.S. mammography screening practices from 1990-2000.
Purpose of the Study:
- To compare the cost-effectiveness of actual U.S. screening mammography patterns with alternative scenarios.
- To evaluate the societal impact on costs and QALYs.
- To inform optimal screening policy development.
Main Methods:
- A discrete-event simulation model of breast cancer epidemiology was employed.
- Estimated costs and QALYs for observed screening patterns, no screening, and 64 alternative scenarios.
- Calculated incremental cost-effectiveness ratios and performed sensitivity analyses.
Main Results:
- Actual U.S. screening cost $166 billion, gaining 1.7 million QALYs compared to no screening.
- Annual screening for all women aged 40-80 was the most expensive alternative.
- Many alternative scenarios offered more QALYs for less cost, with potential savings up to $6 billion.
- Cost-effectiveness was highly sensitive to short-term quality-of-life effects of mammography.
Conclusions:
- Efficient screening policies require balancing costs, participation incentives, and acute quality-of-life impacts.
- Current screening recommendations may not represent the most cost-effective approach.
- Further research into optimizing screening frequency and target populations is warranted.
