A US payer budget impact analysis of Flurpiridaz-PET-MPI compared to SPECT-MPI in the diagnosis of coronary artery disease.

IF 2.9 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Journal of Medical Economics Pub Date : 2024-01-01 Epub Date: 2024-12-03 DOI:10.1080/13696998.2024.2431413
Stacey Priest, Alicyia Walczyk Mooradally, Erika Szabo, Arturo Cabra
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引用次数: 0

Abstract

Aims: This economic model was developed to assess the budget impact of a novel radiotracer, Flurpiridaz (F18-PET-MPI), compared to SPECT-MPI from a US payer perspective.

Materials and methods: The model was developed comparing F18-PET-MPI and SPECT-MPI, with F18-PET-MPI modality share increasing from 0.5% to 2.5% of the total MPI modality share, over a 5-year time horizon. The model estimates the impact of diagnostic performance on downstream healthcare resource utilization (HCRU) including invasive coronary angiography (ICA), revascularization, pharmacological treatment, and cardiac outcomes (CO) such as cardiac mortality (CM) and myocardial infarction (MI). Four suspected CAD populations, including general and difficult-to-image subgroups, were analyzed. Clinical inputs used to support the parameterization of the model were sourced from a systematic literature search and included claims-based real-world evidence, observational, and multicenter registry studies to inform the rates of HCRU and CO, and head-to-head comparative clinical trial data advised diagnostic performance inputs. Reimbursement codes informed MPI modality costs. Results are reported as per-member per-month (PMPM) based on a hypothetical health plan.

Results: In all suspected CAD populations analyzed, there was a nominal cost increase in the world with F18-PET-MPI. The 5-year average PMPM incremental budget impact ranged from $0.02 to $0.05 across all suspected CAD subgroups. Cost-savings were associated with decreased downstream CO such as CM, MI, and ICA.

Limitations and conclusion: The available literature to source all parameters in the model was limited; therefore, assumptions and additional calculations were made based on published evidence to inform the model. A one-way sensitivity analysis was performed to confirm and address uncertainty in key parameters. This comprehensive analysis illustrates that the superior diagnostic performance of F18-PET-MPI may result in reduced adverse CO events and associated costs, increased appropriate identification and treatment of CAD, and a minimal increase in overall costs among general and difficult-to-image patient subgroups.

在冠状动脉疾病诊断中,氟匹利达-PET-MPI 与 SPECT-MPI 的美国支付方预算影响分析。
目的:该经济模型旨在从美国支付方的角度评估新型放射性示踪剂氟匹利达(F18-PET-MPI)与 SPECT-MPI 相比对预算的影响:该模型对 F18-PET-MPI 和 SPECT-MPI 进行了比较,在五年时间内,F18-PET-MPI 在 MPI 总模式中所占份额从 0.5% 增加到 2.5%。该模型估算了诊断性能对下游医疗资源利用率(HCRU)的影响,包括侵入性冠状动脉造影(ICA)、血管重建、药物治疗以及心脏预后(CO),如心脏死亡率(CM)和心肌梗死(MI)。我们分析了四种疑似 CAD 患者,包括一般和难以成像的亚组。用于支持模型参数化的临床输入数据来自系统性文献检索,包括基于索赔的真实世界证据、观察性和多中心登记研究,这些研究为 HCRU 和 CO 的发生率提供了依据,而头对头比较临床试验数据则为诊断性能输入提供了参考。报销代码为 MPI 模式成本提供了依据。结果以假设的医疗计划为基础,以每成员每月(PMPM)的形式报告:结果:在分析的所有疑似 CAD 人群中,使用 F18-PET-MPI 的全球成本增加不大。在所有疑似 CAD 亚组中,五年平均 PMPM 增量预算影响介于 0.02 美元至 0.05 美元之间。成本节约与CM、MI和ICA等下游CO的减少有关:模型中所有参数的可用文献资料有限;因此,根据已发表的证据进行了假设和额外计算,为模型提供信息。进行了单向敏感性分析,以确认和解决关键参数的不确定性。这项综合分析表明,F18-PET-MPI 的诊断性能优越,可减少不良 CO 事件和相关费用,增加对 CAD 的正确识别和治疗,并将普通和难以成像患者亚群的总体费用增加降至最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Medical Economics
Journal of Medical Economics HEALTH CARE SCIENCES & SERVICES-MEDICINE, GENERAL & INTERNAL
CiteScore
4.50
自引率
4.20%
发文量
122
期刊介绍: Journal of Medical Economics'' mission is to provide ethical, unbiased and rapid publication of quality content that is validated by rigorous peer review. The aim of Journal of Medical Economics is to serve the information needs of the pharmacoeconomics and healthcare research community, to help translate research advances into patient care and be a leader in transparency/disclosure by facilitating a collaborative and honest approach to publication. Journal of Medical Economics publishes high-quality economic assessments of novel therapeutic and device interventions for an international audience
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