CEGIST, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal.
Instituto Português de Oncologia de Lisboa Francisco Gentil (IPO Lisboa), Lisbon, Portugal.
Int J Technol Assess Health Care. 2023 Dec 22;39(1):e76. doi: 10.1017/S0266462323002751.
The adoption of genomic technologies in the context of hospital-based health technology assessment presents multiple practical and organizational challenges.
This study aimed to assist the Instituto Português de Oncologia de Lisboa Francisco Gentil (IPO Lisboa) decision makers in analyzing which acute myeloid leukemia (AML) genomic panel contracting strategies had the highest value-for-money.
A tailored, three-step approach was developed, which included: mapping clinical pathways of AML patients, building a multicriteria value model using the MACBETH approach to evaluate each genomic testing contracting strategy, and estimating the cost of each strategy through Monte Carlo simulation modeling. The value-for-money of three contracting strategies - "Standard of care (S1)," "FoundationOne Heme test (S2)," and "New diagnostic test infrastructure (S3)" - was then analyzed through strategy landscape and value-for-money graphs.
Implementing a larger gene panel (S2) and investing in a new diagnostic test infrastructure (S3) were shown to generate extra value, but also to entail extra costs in comparison with the standard of care, with the extra value being explained by making available additional genetic information that enables more personalized treatment and patient monitoring (S2 and S3), access to a broader range of clinical trials (S2), and more complete databases to potentiate research (S3).
The proposed multimethodology provided IPO Lisboa decision makers with comprehensive and insightful information regarding each strategy's value-for-money, enabling an informed discussion on whether to move from the current Strategy S1 to other competing strategies.
在医院为基础的卫生技术评估背景下采用基因组技术提出了许多实际和组织方面的挑战。
本研究旨在协助葡萄牙里斯本肿瘤研究所(IPO Lisboa)决策者分析急性髓系白血病(AML)基因组面板签约策略中哪一种具有最高的性价比。
开发了一种定制的、三步法,包括:映射 AML 患者的临床途径,使用 MACBETH 方法构建多标准价值模型来评估每种基因组检测签约策略,以及通过蒙特卡罗模拟建模来估算每种策略的成本。然后通过策略景观和性价比图分析了三种签约策略的性价比,即“标准护理(S1)”、“FoundationOne Heme 测试(S2)”和“新诊断测试基础设施(S3)”。
与标准护理相比,实施更大的基因面板(S2)和投资新的诊断测试基础设施(S3)被证明会产生额外的价值,但也会带来额外的成本,额外的价值是通过提供更多的遗传信息来实现的,这些信息可以实现更个性化的治疗和患者监测(S2 和 S3)、更多的临床试验机会(S2)以及更完整的数据库来增强研究(S3)。
所提出的多方法为 IPO Lisboa 决策者提供了关于每种策略性价比的全面和有见地的信息,使他们能够就从当前策略 S1 转向其他竞争策略进行知情讨论。