高风险人群中肺癌低剂量计算机断层扫描查的成本效益:马尔科夫模型
Chau-Chyun Sheu1,2, Chun-Chun Wang3,4, Jui-Sheng Hsu5,6
1Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan, Republic of China.
World journal of oncology
|July 12, 2024
概括
低剂量计算机断层扫描 (LDCT) 比胸部X射线 (CXR) 在台湾的肺癌查中更具成本效益. 预计对高风险人群的LDCT查将节省超过1700万美元,并减少死亡率.
科学领域:
- 卫生经济学 卫生经济学
- 医疗成像医学成像
- 在瘤学瘤学.
背景情况:
- 关于低剂量计算机断层扫描 (LDCT) 用于肺癌查的成本效益的研究有限.
- 关于台湾的LDCT成本效益的证据很少.
- 这项研究通过比较LDCT和胸部X射线 (CXR) 对台湾肺癌查的成本效益来弥补这一差距.
研究的目的:
- 对台湾肺癌查的LDCT与CXR进行全面的成本效益分析.
- 为医疗保健决策者提供关于肺癌查策略的证据.
主要方法:
- 从医疗保健提供者的角度来看,使用马尔科夫决策模型模拟使用LDCT和CXR进行两年一次的查.
- 数据输入包括概率,质量调整后寿命年 (QALYs) 和与查,诊断和治疗相关的成本.
- 进行了1000次模拟和灵敏度分析,以确定增量成本效益比 (ICUR).
主要成果:
- 与CXR相比,LDCT的ICUR (-24,757.65/QALY) 显著较低,在台湾的人均GDPWTP值下100%的采用同意.
- 敏感性分析表明,召回率对ICUR有很大的影响.
- 对高风险人群的LDCT查可能会节省大约17,154,115美元的成本.
结论:
- LDCT是台湾肺癌查中比CXR更节省成本和有效的策略.
- LDCT可以检测到更多的早期肺癌,并降低死亡率.
- 未来的研究应该通过额外的变量来探索成本效益.
相关概念视频
Cancer Survival Analysis
340
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
340
Statistical Methods for Analyzing Epidemiological Data
347
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
347


