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捕捉约束对细胞和基因治疗的成本效益的影响:系统评价。

Capturing the Impact of Constraints on the Cost-Effectiveness of Cell and Gene Therapies: A Systematic Review.

机构信息

Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL, UK.

出版信息

Pharmacoeconomics. 2023 Jun;41(6):675-692. doi: 10.1007/s40273-022-01234-7. Epub 2023 Mar 11.

Abstract

OBJECTIVE

Decision-makers need to resolve constraints on delivering cell and gene therapies to patients as these treatments move into routine care. This study aimed to investigate if, and how, constraints that affect the expected cost and health consequences of cell and gene therapies have been included in published examples of cost-effectiveness analyses (CEAs).

METHOD

A systematic review identified CEAs of cell and gene therapies. Studies were identified from previous systematic reviews and by searching Medline and Embase until 21 January 2022. Constraints described qualitatively were categorised by theme and summarised by a narrative synthesis. Constraints evaluated in quantitative scenario analyses were appraised by whether they changed the decision to recommend treatment.

RESULTS

Thirty-two CEAs of cell (n = 20) and gene therapies (n = 12) were included. Twenty-one studies described constraints qualitatively (70% cell therapy CEAs; 58% gene therapy CEAs). Qualitative constraints were categorised by four themes: single payment models; long-term affordability; delivery by providers; manufacturing capability. Thirteen studies assessed constraints quantitatively (60% cell therapy CEAs; 8% gene therapy CEAs). Two types of constraint were assessed quantitatively across four jurisdictions (USA, Canada, Singapore, The Netherlands): alternatives to single payment models (n = 9 scenario analyses); improving manufacturing (n = 12 scenario analyses). The impact on decision-making was determined by whether the estimated incremental cost-effectiveness ratios crossed a relevant cost-effectiveness threshold for each jurisdiction (outcome-based payment models: n = 25 threshold comparisons made, 28% decisions changed; improving manufacturing: n = 24 threshold comparisons made, 4% decisions changed).

CONCLUSION

The net health impact of constraints is vital evidence to help decision-makers scale up the delivery of cell and gene therapies as patient volume increases and more advanced therapy medicinal products are launched. CEAs will be essential to quantify how constraints affect the cost-effectiveness of care, prioritise constraints to be resolved, and establish the value of strategies to implement cell and gene therapies by accounting for their health opportunity cost.

摘要

目的

随着细胞和基因疗法进入常规治疗,决策者需要解决向患者提供这些疗法的制约因素。本研究旨在调查已发表的成本效益分析(CEA)中是否纳入了影响细胞和基因疗法预期成本和健康结果的制约因素,以及如何纳入这些因素。

方法

系统检索确定了细胞和基因疗法的 CEA。通过对先前系统评价和 Medline 和 Embase 的检索,研究从 2022 年 1 月 21 日开始确定。通过定性描述的限制因素按主题进行分类,并通过叙述性综合进行总结。在定量情景分析中评估的限制因素根据其是否改变推荐治疗的决策进行评估。

结果

纳入了 32 项细胞(n=20)和基因疗法(n=12)的 CEA。21 项研究定性描述了限制因素(70%的细胞治疗 CEA;58%的基因治疗 CEA)。定性限制因素分为四个主题:单一支付模式;长期负担能力;提供者的提供;制造能力。13 项研究定量评估了限制因素(60%的细胞治疗 CEA;8%的基因治疗 CEA)。在四个司法管辖区(美国、加拿大、新加坡、荷兰)评估了两种类型的限制因素:单一支付模式的替代方案(n=9 项情景分析);提高制造能力(n=12 项情景分析)。通过确定每个司法管辖区的相关成本效益阈值是否跨越了估计的增量成本效益比来确定对决策的影响(基于结果的支付模式:n=25 次阈值比较,28%的决策发生变化;提高制造能力:n=24 次阈值比较,4%的决策发生变化)。

结论

限制因素的净健康影响是帮助决策者扩大细胞和基因疗法的提供的重要证据,因为患者数量增加,更多先进治疗药物产品推出。CEA 将是量化限制因素如何影响护理的成本效益、确定需要解决的限制因素以及通过考虑健康机会成本来确定实施细胞和基因疗法的策略的价值的重要手段。

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