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Modeling and Validating the Cost and Clinical Pathway of Colorectal Cancer

机译:结肠直肠癌的成本和临床途径建模与验证

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Background. Cancer is a major cause of morbidity and mortality, and colorectal cancer (CRC) is the third most common cancer in the world. The estimated costs of CRC treatment vary considerably, and if CRC costs in a model are based on empirically estimated total costs of stage I, II, III, or IV treatments, then they lack some flexibility to capture future changes in CRC treatment. The purpose was 1) to describe how to model CRC costs and survival and 2) to validate the model in a transparent and reproducible way. Methods. We applied a semi-Markov model with 70 health states and tracked age and time since specific health states (using tunnels and 3-dimensional data matrix). The model parameters are based on an observational study at Oslo University Hospital (2049 CRC patients), the National Patient Register, literature, and expert opinion. The target population was patients diagnosed with CRC. The model followed the patients diagnosed with CRC from the age of 70 until death or 100 years. The study focused on the perspective of health care payers. Results. The model was validated for face validity, internal and external validity, and cross-validity. The validation showed a satisfactory match with other models and empirical estimates for both cost and survival time, without any preceding calibration of the model. Conclusions. The model can be used to 1) address a range of CRC-related themes (general model) like survival and evaluation of the cost of treatment and prevention measures; 2) make predictions from intermediate to final outcomes; 3) estimate changes in resource use and costs due to changing guidelines; and 4) adjust for future changes in treatment and trends over time. The model is adaptable to other populations.
机译:背景。癌症是发病率和死亡率的主要原因,大肠癌(CRC)是世界第三大常见癌症。 CRC治疗的估计费用相差很大,如果模型中的CRC费用基于I,II,III或IV期治疗的经验估计总费用,则它们缺乏捕获CRC治疗未来变化的灵活性。目的是1)描述如何为CRC费用和生存建模,以及2)以透明且可复制的方式验证模型。方法。我们应用了具有70个健康状态的半马尔可夫模型,并跟踪了特定健康状态以来的年龄和时间(使用隧道和3维数据矩阵)。模型参数基于在奥斯陆大学医院(2049例CRC患者)的观察性研究,国家患者登记簿,文献和专家意见。目标人群是被诊断患有CRC的患者。该模型追踪了70岁至死亡或100岁的被诊断患有CRC的患者。该研究侧重于卫生保健支付者的观点。结果。对模型进行了脸部有效性,内部和外部有效性以及交叉有效性的验证。验证显示与其他模型的满意匹配以及对成本和生存时间的经验估计,而无需事先对模型进行校准。结论。该模型可用于1)处理一系列与CRC相关的主题(通用模型),例如生存率以及评估治疗和预防措施的成本; 2)从中间结果到最终结果进行预测; 3)估算由于指南变更而导致的资源使用和成本变化;和4)适应未来治疗的变化和趋势的变化。该模型适用于其他人群。

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