Decision Programming for optimizing the Finnish Colorectal Cancer Screening Program

Abstract

In Finland colorectal cancer (CRC) incidence rates have steadily increased over the last decades and as of 2017, CRC is the sixth most common cause of death. CRC is a crucial concern for the public health of Finland. We optimize the faecal immunochemical test (FIT) cut-off level for specified target populations with regard to minimization of cancer prevalence with Decision Programming, which is a novel approach to solving discrete multi-stage decision problems under uncertainty. The results present optimal cut-off levels for Finnish target groups with different colonoscopy capacity constraints. Finally, the estimated resulting cancer prevalence, the amount of required colonoscopies and third-party payer costs resulting from found strategies to the newly implemented Finnish CRC Screening Programme, which have not previously been published, are presented.