Adam J.N. Raymakers , Leah Z. Rand , William B. Feldman , Aaron S. Kesselheim
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引用次数: 0
Abstract
Background
Health care payers often use cost-effectiveness analyses (CEA) using the quality-adjusted life-year (QALY), as the measure of benefit, to inform reimbursement decisions for new therapies. The QALY combines quantity of life and health-related quality of life into a single outcome measure and enables comparisons across diseases. Critics in the United States have attempted to ban the use of CEAs using QALYs based on the argument that these analyses identify subgroups of vulnerable patient populations for whom drugs are less cost-effective, thereby limiting access.
Materials and methods
We used the Tufts CEA Registry to identify QALY-based CEAs of cancer drugs conducted in the US from 1991 to 2023. We extracted the year of publication, cancer type, incremental cost-effectiveness ratio (including component incremental costs and QALYs), whether a subgroup analysis was performed, characteristics of that subgroup analysis, and how the subgroup affected cost-effectiveness.
Results
The final cohort included 322 full-text studies; 249 (77.3 %) analyzed treatments for solid tumors and the remainder treatments for blood cancers. Pembrolizumab was the most common therapy studied across all indications (10.2 %). Overall, 31 studies (9.6 %) included some form of subgroup analysis, all of which were age-related. Eleven (35.5 %) of the CEAs with age-related subgroup analyses were conducted following a pivotal clinical trial with the same subgroups.
Conclusions
QALY-based CEAs do not often include subgroups based on age, disease severity, chronic disease, or disability. In rare cases when these analyses are conducted, they are often motivated by clinically meaningful subgroup analyses performed in trials and not by payer budgetary considerations. Therefore, these results show concern about subgroup analyses does not justify efforts to exclude payers from using QALYs in CEA.
Policy summary
Concerns over CEAs identifying subgroups in their analyses do not appear to be justified and does not warrant precluding the use of QALYs for decision-making or price negotiation for drugs.
背景:医疗保健支付者经常使用成本效益分析(CEA),使用质量调整生命年(QALY)作为效益衡量标准,为新疗法的报销决策提供信息。QALY将生命数量和与健康相关的生活质量结合为一个单一的结果衡量标准,并可以对不同疾病进行比较。美国的批评人士试图禁止使用质量评估指标来使用CEAs,理由是这些分析确定了易受伤害的患者亚群,对他们来说药物的成本效益较低,从而限制了获取。材料和方法:我们使用Tufts CEA Registry来识别1991-2023年在美国进行的基于质量的癌症药物CEA。我们提取了发表年份、癌症类型、增量成本-效果比(包括成分增量成本和质量年)、是否进行了亚组分析、该亚组分析的特征以及该亚组如何影响成本-效果。结果:最终队列包括322篇全文研究;249例(77.3%)分析了实体瘤的治疗方法,其余分析了血癌的治疗方法。在所有适应症中,派姆单抗是最常见的治疗方法(10.2%)。总的来说,31项研究(9.6%)包括某种形式的亚组分析,所有这些研究都与年龄有关。11例(35.5%)cea与年龄相关的亚组分析是在相同亚组的关键临床试验后进行的。结论:基于质量的cea通常不包括基于年龄、疾病严重程度、慢性疾病或残疾的亚组。在极少数情况下,当进行这些分析时,它们通常是由试验中进行的临床有意义的亚组分析驱动的,而不是出于付款人预算的考虑。因此,这些结果表明,对亚组分析的关注并不能证明在CEA中排除支付者使用qaly的努力是合理的。政策摘要:对cea在其分析中确定亚组的关注似乎是不合理的,也不能作为排除在药品决策或价格谈判中使用质量分析指标的理由。