Valuing EQ-5D health states for Sri Lanka
Valuing EQ-5D health states for Sri Lanka
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DOI：
10.1007/s11136-014-0906-2
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发表时间：
2015-07-01
影响因子：
3.5
通讯作者：
Scuffham, Paul A.
中科院分区：
文献类型：
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作者：
Kularatna, Sanjeewa;Whitty, Jennifer A.;Scuffham, Paul A.
本研究的目的是根据斯里兰卡人口样本的偏好推导出一种算法来估计EQ-5D-3L健康状态的效用值，并使用时间权衡方法直接评估斯里兰卡总体样本(n=780)中的198个EQ-5D-3L健康状态。采用分层整群随机抽样的方法，从4个区中抽取样本。每个参与者通过面对面的采访评估了15个健康状态。使用一致性、简约性和拟合优度来选择最佳拟合模型。基于逻辑上的不一致，模型规范也使用了大量的子样本。对于每个模型，还检查了结果值集中不符合逻辑的排序的数量。带有随机影响的广义最小二乘被发现是最好的规范。由少于七个逻辑不一致意见的参与者组成的小样本在最终值集中没有产生不符合逻辑的顺序，被认为是首选模式。与其他国家的价值设置相比，高非公用事业与流动性维度的3级赤字有关。斯里兰卡超过50%的健康状态被认为比死亡健康状态更差。斯里兰卡EQ-5D-3L状态的效用值明显偏离了高、中、高收入国家的现有值。重要的是要有具体国家的效用值来进行成本-效用分析。
The aim of this study was to derive an algorithm to estimate utility values for the EQ-5D-3L health states based on the preferences of a population sample from Sri Lanka.The time trade-off method was used to directly value 198 EQ-5D-3L health states in a general population sample (n = 780) from Sri Lanka. Stratified cluster sampling with random selection within clusters was used to select the sample from four districts. Each participant valued 15 health states via face-to-face interviews. The best fit model was selected using consistency, parsimony, and goodness of fit. Based on logical inconsistency, numerous sub-samples were also used for model specification. For each model, the numbers of illogical orderings in the resulting value set were also examined.Generalised least squares with random effects were found to be the best specification. The sub-sample consisting of participants with less than seven logical inconsistent observations produced no illogical ordering in the final value set and is considered the preferred model. Compared to value sets in other countries, a high disutility is associated with level 3 deficits in the mobility dimension. More than 50 % of health states in the Sri Lankan value set are deemed worse than death health states.Sri Lankan utility values for EQ-5D-3L states deviate markedly from existing values for upper middle and high-income countries. It is important to have country-specific utility values to conduct cost-utility analysis.