Moffitt Cancer Center, Health Outcomes and Behavior, Tampa, FL, USA.
Health Econ. 2011 Jul;20(7):864-75. doi: 10.1002/hec.1650.
By polling individual responses to hypothetical scenarios, valuation studies estimate population preferences toward health on a quality-adjusted life year (QALY) scale. The scenarios typically involve trade-offs in time (time trade-off (TTO)), risk (standard gamble (SG)), or number of persons affected (person trade-off (PTO)). This paper revisits the QALY assumptions and provides a coherent health econometric approach that unites TTO, SG, and PTO techniques under a common estimator. The proposed approach avoids the use of ratio statistics in QALY estimation and the common convention of arbitrarily changing trade-off responses. As an example, 34% of the TTO responses from the seminal Measurement and Valuation of Health study were changed in the original UK analysis, which led to substantially lower QALY estimates. As a general rule, if the original estimate is less than 0.5 QALYs, add 0.25 QALYs to get the new estimates.
通过对假设情景的个体反应进行民意调查,价值评估研究根据质量调整生命年 (QALY) 量表来估计人群对健康的偏好。这些情景通常涉及时间(时间权衡法 (TTO))、风险(标准博弈法 (SG))或受影响人数(个人权衡法 (PTO))的权衡取舍。本文重新审视了 QALY 的假设,并提供了一种连贯的健康计量经济学方法,将 TTO、SG 和 PTO 技术统一在一个共同的估计器下。所提出的方法避免了在 QALY 估计中使用比率统计数据和常见的任意改变权衡反应的惯例。例如,在最初的测量和评估健康研究中,34%的 TTO 反应在英国的原始分析中发生了变化,这导致了 QALY 估计值大幅下降。一般来说,如果原始估计值小于 0.5 QALY,添加 0.25 QALY 以获得新的估计值。