A value framework for lymphoma therapies based on MACBETH method

基于MACBETH方法的淋巴瘤治疗价值框架

阅读:2

Abstract

OBJECTIVES: The rising cost of oncology care has motivated efforts to quantify the overall value of cancer innovation. This study aimed to apply the MACBETH approach to the development of a value assessment framework (VAF) for lymphoma therapies. METHODS: A multi-attribute value theory methodological process was adopted. Analogous MCDA steps developed by the International Society for Health Economics and Outcomes Research (ISPOR) were carried out and a diverse multi-stakeholder group was recruited to construct the framework. The criteria were identified through a systematic literature review and selected according to the importance score of each criterion given by stakeholders, related research and expert opinions. The MACBETH method was used to score the performance of alternatives by establishing value functions for each criterion and to assign weight to criteria. RESULTS: Nine criteria were included in the final framework and a reusable model was built: quality adjusted life years (QALYs), median progression-free survival, objective response rate, the incidence of serious adverse events (grade 3-4), rates of treatment discontinuation due to adverse events, annual direct medical costs, dosage and administration, the number of alternative medicines with the same indication and mechanism, mortality of the disease. The weights of each criterion in the order presented above are 17.43 percent, 16.11 percent, 14.39 percent,13.54 percent,11.83 percent,11.30 percent,7.08 percent,4.59 percent, and 3.73 percent. CONCLUSIONS: A criterion-based valuation framework was constructed using multiple perspectives to provide a quantitative assessment tool in facilitating the delivery of affordable and valuable lymphoma treatment. Further research is needed to optimize its use as part of policy-making.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。