Modeling Effective Health Policies for Colorectal Cancer

为结直肠癌建立有效的健康政策模型

• 批准号: 8546462
• 负责人: KAREN M KUNTZ
• 金额: $ 11万
• 依托单位: SLOAN-KETTERING INST CAN RESEARCH
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8546462
• 关键词: Address; Advisory Committees; Age; Biological Markers; Cancer Control; Cancer Etiology; Cancer Model; Cessation of life; Characteristics; Collaborations; Colorectal Cancer; Computed Tomographic Colonography; DNA; Data; Disease; Equilibrium; Evaluation; Fecal occult blood; Feces; Flexible fiberoptic sigmoidoscopy; Funding; Future; Genomics; Goals; Guidelines; Health Policy; Incidence; Individual; Intervention; Malignant Neoplasms; Medicare; Methods; Modality; Modeling; National Cancer Institute; Online Systems; Past Trends; Pathway interactions; Policies; Policy Maker; Policy Making; Preventive; Primary Prevention; Process; Race; Randomized Controlled Trials; Recommendation; Relative (related person); Research; Risk; Risk Factors; Screening procedure; Secondary Prevention; Services; Surveillance Modeling; Testing; United States; Update; Washington; Work; base; cancer therapy; colorectal cancer screening; cost effectiveness; experience; health disparity; improved; innovation; insight; member; models and simulation; modifiable risk; mortality; new technology; population based; sex; shift work; tool; treatment strategy; trend; tumor

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.

描述（由申请人提供）：尽管有一系列干预措施可减轻CRC的负担，但大肠癌（CRC）仍然是美国第二大最常见的癌症死亡原因。微仿真建模可以告知决策者在这些癌症控制干预措施中优先考虑。 CISNET-CRC团队包括三个协作建模小组，每个组都有针对CRC的最先进的，基于人群的微仿真模型：MISCAN，SIMCRC和CRC-SPIN。这三个建模小组已经合作了八年，并提供了大量面向政策的工作。我们建议继续这种合作，进一步开发我们的模型，并利用它们来确定最佳的癌症控制政策和实践，以减轻CRC的负担。 我们拟议的工作中心围绕三个具体目标。在AIM 1中，我们扩展了模型，以反映对CRC疾病过程的不断发展的理解，并结合了新的和更新的筛查方式，从而使我们能够解决新的政策问题。在这里，我们关注有关基因组学，生物标志物，途径以及柔性乙状结肠镜筛选的随机对照试验的新数据。在AIM 2中，我们将最新模型应用于卫生政策，包括评估整个癌症控制频谱的干预措施。将评估新技术和更独立的筛查和治疗策略，特别关注健康差异。在AIM 3中，我们通过吸引政策制定者并鼓励在政策制定和决策支持中适当使用建模的方法来传播模型的结果，以告知健康政策。在这里，我们设想使用基于Web的开放式模型应用程序创新。我们将从特定应用所需的模型扩展开始，在资金期间，工作的平衡大幅转移到应用程序上。我们的发现的传播将在整个资金期间发生。