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健康改善序列的价值调整:更快能好多少?

How Much Better is Faster? Value Adjustments for Health-Improvement Sequences.

机构信息

Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.

Value and Evidence, Neuroscience, Janssen Scientific Affairs, Titusville, NJ, USA.

出版信息

Pharmacoeconomics. 2023 Aug;41(8):845-856. doi: 10.1007/s40273-023-01266-7. Epub 2023 May 3.

Abstract

While the quality-adjusted life-year construct has advantages of simplicity and consistency, simplicity requires strong assumptions. In particular, standard assumptions result in health-state utility functions that are unrealistically linear and separable in risk and duration. Consequently, sequencing of a series of health improvements has no effect on the total value of the sequence because each increment is assessed independently of previous increments. Utility functions in nearly all other areas of applied economics are assumed to be nonlinear with diminishing marginal utility so it matters where an improvement occurs in a sequence. We construct a conceptual framework that that demonstrates how diminishing marginal utility for health improvements could affect preferences for different sequence patterns. Using this framework, we derive conditions for which the sum of conventional health-state utilities understates, overstates, or approximates the sequence-sensitive value of health improvements. These patterns suggest the direction and magnitude of possible adjustments to conventional value calculations. We provide numerical examples and identify recent studies whose results are consistent with the conceptual model.

摘要

虽然质量调整生命年的构建具有简单性和一致性的优点,但简单性需要强有力的假设。特别是,标准假设导致健康状态效用函数在风险和持续时间方面不切实际地线性和可分离。因此,一系列健康改善的排序对序列的总价值没有影响,因为每个增量都独立于先前的增量进行评估。几乎在应用经济学的所有其他领域中,效用函数都被假设为非线性的,边际效用递减,因此在序列中改善的位置很重要。我们构建了一个概念框架,展示了健康改善的边际效用递减如何影响对不同序列模式的偏好。使用这个框架,我们推导出了传统健康状态效用之和低估、高估或近似健康改善的序列敏感值的条件。这些模式表明了对传统价值计算进行可能调整的方向和幅度。我们提供了数值示例,并确定了最近的研究结果与概念模型一致。

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