Background: Despite proven effectiveness in reducing Colorectal Cancer (CRC) cases, screening for CRC remains underutilized. As the use of an outreach program may increase uptake and adherence to screening, we examined the cost-effectiveness of provider-ordered multi-target stool DNA (mt-sDNA) versus an outreach program with a mailed Fecal Immunochemical Test (FIT), in a Medicare Advantage population. Methods: Annual FIT, mailed as part of an outreach program, and triennial mt-sDNA were compared using the validated CRC-AIM microsimulation model over a lifetime horizon. Costs and clinical outcomes of 2 million average-risk individuals, free of diagnosed CRC at age 40, who initiated CRC screening at age 65, were simulated. Test sensitivity and specificity inputs were based on the 2021 United States Preventive Services Task Force modeling study; adherence rates were based on published real-world data for stool-based tests and follow-up colonoscopies (COLs). The cost of the outreach program, screening tests, COLs, complications, and CRC care were included. Discount rates (3%) and the perspective of Medicare Advantage were employed. Outcomes are reported in Life-Years Gained (LYG), Quality-Adjusted Life Years (QALY), Incidence Reduction (IR), mortality reduction (MR) and the incremental cost-effectiveness ratio. Scenario analyses explored alternate adherence rates. Results: In the base case, using real-world adherence rates, mt-sDNA had higher IR, MR and LYG; mt-sDNA was cost-effective at a willingness-to-pay threshold of $50,000 per QALY compared to mailed FIT outreach. In scenario analyses, when assuming 100% adherence for both screening test and follow-up COL, mt-sDNA was dominated by mailed FIT outreach. mt-sDNA remained cost-effective versus outreach with mailed FIT in a scenario where FIT had 20% higher adherence than the base case. Conclusions: Adherence to CRC screening and follow-up COL greatly impacts clinical and cost-effectiveness outcomes. Future analyses should consider evidence-based, health plan-specific data to accurately reflect outcomes in order to aid payers in decision making.g.