1166. Optimizing the Finnish Colorectal Cancer Population Screening Program with Decision Programming
Invited abstract in session MB-33: Scenarios and Stochastic Dominance, stream Decision Analysis.
Monday, 10:30-12:00Room: Maurice Keyworth 1.31
Authors (first author is the speaker)
| 1. | Eeva Vilkkumaa
|
| Department of Information and Service Management, Aalto University, School of Business | |
| 2. | Lauri Neuvonen
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| Information and service management, Aalto University School of Business | |
| 3. | Mary Dillon
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| Information and Service Management, Aalto University | |
| 4. | Ahti Salo
|
| Systems Analysis Laboratory, Aalto University School of Science |
Abstract
In Finland, colorectal cancer (CRC) incidence rates have steadily increased over the last decades and as of 2020, CRC is the second most common cancer in both males and females. CRC is a crucial concern for the public health of Finland, highlighted by the recent implementation of a national population screening program. We optimize the screening test positivity cut-off levels and potential incentive use for stratified populations with regard to the minimization of cancer prevalence with Decision Programming; a novel approach to solving discrete multi-stage decision problems under uncertainty. The results present optimal cut-off levels and incentive use for Finnish target groups with different colonoscopy capacity constraints. We also present estimated outcomes for the optimized strategies, including the expected CRC prevalences, expected numbers of required colonoscopies expected third-party costs, and measures describing different equality perspectives.
Keywords
- Decision Analysis
- Multi-Objective Decision Making
- Health Care
Status: accepted
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