Prof. Eric
Raymond
Chief Medical Advisor, Medical Underwriting Modeling, L&H
March – Colorectal Cancer Awareness Month – is a great time to talk about screening.
Colorectal cancer (CRC) is a disease that is highly prevalent worldwide, but largely preventable through early detection. However, despite the availability of effective screening tools, participation rates remain insufficient to curb the trend, especially among adults aged 45–75.
Common barriers include low risk perception in the absence of symptoms, limited health literacy, fear of procedures, and logistical or financial constraints. Mental health also plays a major role: anxiety, depression, and chronic stress significantly reduce screening adherence. Individuals with mental health conditions are screened less frequently, diagnosed at later stages, experience higher mortality, and incur significantly higher healthcare costs.
A multi layered response is essential. Non‑invasive tests (for blood or DNA in stool samples) increase participation and should be prioritized as first‑line options. Personalized risk tools, digital reminders, and clear educational materials help to counter cognitive biases. Patient navigation and support strongly boost screening adherence. Removing logistical and financial barriers (for example through mailed kits, mobile units, and full coverage) improves uptake. Finally, investing in integrated mental health and prevention strategies lowers long‑term cancer costs and strengthens insurance portfolio sustainability.
(Re)insurers are uniquely positioned to support evidence‑based CRC screening strategies. These contribute to healthcare equity and improve population health indicators.
As (re)insurers, we have a role to play by prioritizing prevention – not just as a tool to improve the bottom line, but also as a way of engaging policyholders to improve their health and wellbeing.
CONTACT
OUR EXPERTS
Prof. Eric
Raymond
Chief Medical Advisor, Medical Underwriting Modeling, L&H
Alexandra
Stulz
Consulting Psychologist, Medical Underwriting Modeling, L&H