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使用遗传仪器变量对长期干预成本效益的因果估计:癌症的应用
Padraig Dixon1,2, Richard M Martin2,3,4, Sean Harrison2,5
1Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
概括
这项研究引入了一种新的方法,可以在没有临床试验的情况下评估癌症干预的成本效益. 它发现前列腺癌和乳腺癌以及医疗保健成本之间存在遗传联系,但SGLT2抑制剂对于预防前列腺癌可能不具有成本效益.
科学领域:
- 卫生经济学 卫生经济学
- 遗传学 是一个遗传学.
- 在瘤学瘤学.
背景情况:
- 评估长期干预的成本效益通常需要来自随机对照试验或复杂模拟的广泛数据.
- 这项研究解决了当这种数据有限时评估干预措施的挑战.
研究的目的:
- 开发和展示一种用于估计癌症干预措施长期成本效益的新方法.
- 利用门德尔的随机化来确定癌症和健康经济结果之间的因果关系.
- 模拟使用SGLT2抑制剂治疗前列腺癌的假设全民预防干预的成本效益.
主要方法:
- 采用了使用英国生物库数据的孟德尔随机化研究设计.
- 对八种癌症类型的基因预测责任对医疗保健成本和经质量调整的寿命年 (QALYs) 的估计因果影响.
- 将这些因果估计整合到模拟模型中,以评估干预的成本效益.
主要成果:
- 鉴定了前列腺癌和乳腺癌遗传责任对医疗保健成本和QALYs的重大因果影响.
- 对于较不常见的癌症而言,孟德尔随机化结果表现出相当大的不确定性.
- 假设使用SGLT2抑制剂治疗前列腺癌的预防性干预不太可能具有成本效益,因为它取决于这种新疗法的药物定价.
结论:
- 拟议的方法提供了一个快速有效的手段来估计干预的成本效益,补充现有的方法.
- 癌症对健康经济学影响的因果估计可以为查和治疗等干预措施的决策分析模型提供信息.
- 这种方法为预防和治疗环境中的决策提供了宝贵的见解,即使试验数据有限.
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