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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tejada, J.J. Ivy, J.S. Wilson, J.R. King, R.E. Ballan, M.J. Kay, M.G. Diehl, K. Yankaskas, B.C. |
| Copyright Year | 2013 |
| Description | Author affiliation: Edward P. Fitts Dept. of Ind. & Syst. Eng., North Carolina State Univ., Raleigh, NC, USA (Ivy, J.S.; Wilson, J.R.; King, R.E.; Ballan, M.J.; Kay, M.G.) || Dept. of Surg., Univ. of Michigan Health Syst., Ann Arbor, MI, USA (Diehl, K.) || Depts. of Radiol. & Epidemiology, Univ. of North Carolina, Chapel Hill, NC, USA (Yankaskas, B.C.) || SIMCON Solutions, LLC, Austin, TX, USA (Tejada, J.J.) |
| Abstract | We develop a simulation modeling framework for evaluating the effectiveness of breast cancer screening policies for US women of age 65+. We introduce a two-phase simulation approach to modeling the main components in the breast cancer screening process. The first phase is a natural-history model of the incidence and progression of untreated breast cancer in randomly sampled individuals from the designated population. Combining discrete event simulation (DES) and system dynamics (SD) submodels, the second phase is a screening-and-treatment model that uses information about the genesis of breast cancer in the sampled individuals as generated by the natural-history model to estimate the benefits of different policies for screening the designated population and treating the affected women. Based on extensive simulation-based comparisons of alternative screening policies, we concluded that annual screening from age 65 to age 80 is the best policy for minimizing breast cancer deaths or for maximizing quality-adjusted life-years saved. |
| Starting Page | 41 |
| Ending Page | 53 |
| File Size | 450439 |
| Page Count | 13 |
| File Format | |
| e-ISBN | 9781479939503 |
| DOI | 10.1109/WSC.2013.6721406 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-12-08 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Breast cancer Mathematical model Sociology Statistics Tumors Equations |
| Content Type | Text |
| Resource Type | Article |
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