Fugel Hans-Joerg, Nuijten Mark, Faulkner Eric
University of Groningen, FarmacoEconomics , The Netherlands.
J Med Econ. 2014 May;17(5):305-11. doi: 10.3111/13696998.2014.902842. Epub 2014 Mar 21.
Stratified medicine (SM), as opposed to empirical medicine, is the practice of using biomarkers or diagnostic tests to guide the choice of therapeutic treatments. The link between the diagnostic test and the therapy provides new opportunities for value creation and may strengthen the value proposition to pricing and reimbursement authorities. However, SM provides new challenges for the value assessment process, in particular health technology assessment (HTA) and pricing and reimbursement (P&R) decisions. Although health economics (HE) should be relevant for all stakeholders, not all stakeholders are comfortable with analysis/interpretation of economic data relevant to SM interventions as this approach is still in an early/emergent stage in most markets. This article addresses how different stakeholders are using health economic data in the overall value of information analysis to inform prioritization and reimbursement of SM interventions. Findings of an expert discussion outlines key challenges affecting various stakeholders when applying health economic data in the healthcare decision-making process for SM interventions.
与经验医学相对的分层医学(SM)是指利用生物标志物或诊断测试来指导治疗方案选择的实践。诊断测试与治疗之间的联系为创造价值提供了新机会,并且可能会强化向定价和报销部门提出的价值主张。然而,分层医学给价值评估过程带来了新挑战,尤其是对卫生技术评估(HTA)以及定价和报销(P&R)决策而言。尽管卫生经济学(HE)对所有利益相关者都应具有相关性,但并非所有利益相关者都能自如地分析/解读与分层医学干预措施相关的经济数据,因为这种方法在大多数市场仍处于早期/新兴阶段。本文探讨了不同利益相关者如何在信息分析的整体价值中运用卫生经济数据,以为分层医学干预措施的优先级确定和报销提供依据。一次专家讨论的结果概述了在分层医学干预措施的医疗决策过程中应用卫生经济数据时影响各利益相关者的关键挑战。