Modeling Effective Health Policies for Colorectal Cancer

描述（由申请人提供）：尽管有一系列干预措施可以减轻结直肠癌的负担，但结直肠癌（CRC）仍然是美国癌症死亡的第二大常见原因。微观模拟模型可以告知政策制定者在这些癌症控制干预措施中的优先级。CISNET-CRC团队包括三个协作建模小组，每个小组都有一个最先进的、基于人群的CRC微仿真模型：MISCAN、SimCRC和CRC- spin。这三个建模小组已经合作了8年，并交付了大量面向政策的工作。我们建议继续这种合作，进一步发展我们的模型，并利用它们来确定最佳的癌症控制政策和实践，以减轻结直肠癌的负担。

DESCRIPTION (provided by applicant): Colorectal cancer (CRC) is still the second most common cause of cancer death in the United States, despite the availability of a range of interventions to reduce the burden of CRC. Microsimulation modeling can inform policy makers in prioritizing among these cancer-control interventions. The CISNET-CRC team includes three collaborative modeling groups, each with a state-of-the-art, population-based microsimulation model for CRC: MISCAN, SimCRC, and CRC-SPIN. These three modeling groups have collaborated for eight years and have delivered a substantial body of policy-oriented work. We propose to continue this collaboration, further developing our models and using them to identify optimal cancer-control policies and practices to reduce the burden of CRC. Our proposed work centers around three specific aims. In Aim 1 we extend our models to reflect the evolving understanding of the CRC disease processes and to incorporate new and updated screening modalities, allowing us to address new policy questions. Here we focus on new data on genomics, biomarkers, pathways, and the upcoming data from randomized controlled trials of flexible sigmoidoscopy screening. In Aim 2 we apply our updated models to inform health policy, including evaluation of interventions across the cancer-control spectrum. New technologies and more individually tailored screening and treatment strategies will be evaluated with a special focus on health disparities. In Aim 3 we disseminate results from our models to inform health policy, via methods that engage policy makers and encourage appropriate use of modeling in policy making and decision support. Here we envision innovation using open-access web-based model applications. We will begin with model extensions required for specific applications, with the balance of the work shifting heavily toward applications over the course of the funding period. Dissemination of our findings will occur throughout the funding period.