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Data collection infrastructure for patient outcomes in the UK – opportunities and challenges for cell and gene therapies launching

机译:用于英国患者预后的数据收集基础设施–细胞和基因疗法的推出面临的机遇和挑战

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ABSTRACT Background : Cell and gene therapies are associated with uncertainty around their value claims at launch due to limitations of supporting clinical data; furthermore, their high costs present affordability issues for payers. Outcomes-based reimbursement can reduce payer decision uncertainty and improve patient access, however, requires data collection infrastructure and practice to be operational. Objective : To identify indications most likely to see launch of cell or gene therapies in the UK over the next five years, and to perform a qualitative assessment of how conducive the existing data collection infrastructure and clinical practice is in facilitating adoption of outcomes-based reimbursement in the corresponding indications. Methodology : Through secondary research, we identified target indications for cell or gene therapies at a mature clinical development stage (Phase III) with EU and/or US trial sites, and assessed availability of relevant data collection infrastructures in the UK. Secondary research findings were validated through primary research (expert interviews). Key parameters considered for the suitability of existing data collection infrastructure in supporting outcomes-based reimbursement include time horizon of data collection, whether data entry is mandatory and whether infrastructure is product or therapy area-specific. Findings : We identified 58 cell or gene therapies, spanning 47 indications, 20 of which are in oncology. Oncology seems well placed for outcomes data collection (through the mandatory Systemic Anti-Cancer Treatment database), however data entry compliance can be an issue (due to resource limitations), and upgrading will be needed for the purpose of outcomes-based reimbursement. Among non-oncology indications ~two-thirds have data collection infrastructures in place, but only three come close to the requirements for outcomes-based reimbursement. Conclusions : Existing data collection infrastructure in indications with potential cell or gene therapies launches in the next five years in the UK is overall not sufficient to facilitate outcomes-based reimbursement.
机译:摘要背景:由于支持临床数据的局限性,细胞和基因疗法在启动时对其价值主张的不确定性相关。此外,它们的高成本给付款人带来了负担能力的问题。基于结果的报销可以减少付款人决策的不确定性并改善患者的可及性,但是,这要求数据收集基础架构和实践可操作。目的:确定在未来五年内最有可能在英国启动细胞或基因疗法的适应症,并对现有数据收集基础设施和临床实践在促进采用基于结果的报销方面是否有帮助做出定性评估在相应的适应症中。方法:通过二次研究,我们确定了在成熟的临床开发阶段(第三阶段)在欧盟和/或美国的试验地点进行细胞或基因疗法的目标适应症,并评估了英国相关数据收集基础设施的可用性。次要研究的发现通过主要研究(专家访谈)得到验证。在支持基于结果的报销时,考虑到现有数据收集基础结构是否适合的关键参数包括数据收集的时间范围,是否必须输入数据以及基础结构是否针对特定产品或治疗领域。调查结果:我们确定了58种细胞或基因疗法,涵盖47种适应症,其中20种在肿瘤学领域。肿瘤学似乎可以很好地收集结果数据(通过强制性的系统性抗癌治疗数据库),但是(由于资源有限)数据输入合规性可能是个问题,出于基于结果的报销目的,需要进行升级。在非肿瘤适应症中,约有三分之二拥有数据收集基础架构,但只有三项接近基于结果的报销要求。结论:在英国,未来五年内可能进行细胞或基因治疗的适应症中,现有的数据收集基础设施总体上不足以促进基于结果的报销。

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