Roberts Jennifer, Dolan Paul
School of Health and Related Research, University of Sheffield, Sheffield, UK.
Health Econ. 2004 Jul;13(7):733-7. doi: 10.1002/hec.875.
The EQ-5D general population valuation set (or 'tariff') is increasingly being used in the evaluation of health care interventions and has been recommended by the National Institute for Clinical Excellence (NICE) for use in cost-utility analyses of health technologies. To be of use to decision-makers, the health gain implied by changes in health state values must reflect individual preferences. At the simplest level, if State A has a higher mean value than State B, then the majority of people should consider a move from B to A to be a good thing. In this paper, we examine the extent to which this is true by re-analysing data from the general population study used to derive the EQ-5D tariff. We show that, on average, the difference in value between two states has to be as large as 0.20 (on a scale where one represents full and zero represents death) for 70% of respondents to agree with the sign of that difference (never mind its size). Results such as these have important implications for the use of the EQ-5D tariff that has been generated from these data.
EQ-5D一般人群估值集(或“费率表”)越来越多地用于医疗保健干预措施的评估,并且已被国家临床优化研究所(NICE)推荐用于卫生技术的成本效用分析。为了对决策者有用,健康状态值变化所隐含的健康收益必须反映个人偏好。在最简单的层面上,如果状态A的平均值高于状态B,那么大多数人应该认为从B转变为A是一件好事。在本文中,我们通过重新分析用于推导EQ-5D费率表的一般人群研究数据,来检验这种情况在多大程度上是真实的。我们表明,平均而言,两个状态之间的价值差异必须高达0.20(在一个尺度上,1代表完全健康,0代表死亡),才能使70%的受访者认同该差异的正负(更不用说其大小了)。诸如此类的结果对于使用从这些数据生成的EQ-5D费率表具有重要意义。