Graduate Studies Program in Epidemiology, Health Technology Assessment Institute, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Value Health. 2011 Jul-Aug;14(5 Suppl 1):S108-14. doi: 10.1016/j.jval.2011.05.012.
SF-6D is a preference-based measure of health developed to estimate utility values from the SF-36. The aim of this study was to estimate a weighting system for the SF-6D health states representing the preferences of a sample of the Southern Brazilian general population.
A sample of 248 health states defined by the SF-6D was valued by a sample of the southern Brazilian population using the standard gamble. Mean and individual level multivariate regression models were fitted to the standard gamble valuation data to estimate preference weights for all SF-6D health states. The models were compared with those estimated in the UK study.
Five hundred twenty-eight participants were interviewed, but 58 (11%) were excluded for failing to value the worst state. Data from 469 subjects producing 2696 health states valuations were used in the regression analysis. In contrast to the best performing model for the UK data, the best performing model for the Brazilian data was a random effects model using only the main effects variables, highlighting the importance of adopting a country-specific algorithm to derive SF-6D health states values. Inconsistent coefficients were merged to produce the final recommended model, which has all significant coefficients and a mean absolute difference between observed and predicted standard gamble values of 0.07.
The results provide the first population-based value set for Brazil for SF-6D health states, making it possible to generate quality-adjusted life years for cost-utility studies using regional data. Besides, utility weights derived using the preferences of a sample from a southern Brazilian population can be derived from existing SF-36 data sets.
SF-6D 是一种基于偏好的健康衡量标准，旨在从 SF-36 中估算效用值。本研究的目的是为 SF-6D 健康状态制定一个权重系统，代表南部巴西一般人群的偏好。
使用标准博弈对由 SF-6D 定义的 248 个健康状态样本进行了由南部巴西人群组成的样本的价值评估。对标准博弈估值数据进行了均值和个体水平的多元回归模型拟合，以估算所有 SF-6D 健康状态的偏好权重。将这些模型与英国研究中估计的模型进行了比较。
共采访了 528 名参与者，但有 58 名（11%）因未能对最差状态进行估值而被排除在外。来自 469 名产生 2696 个健康状态估值的受试者的数据用于回归分析。与英国数据最佳表现模型相反，巴西数据最佳表现模型是仅使用主要效应变量的随机效应模型，突出了采用特定于国家的算法来推导 SF-6D 健康状态值的重要性。不一致的系数被合并以生成最终推荐的模型，该模型具有所有显著的系数，并且观察到的和预测的标准博弈值之间的平均绝对差异为 0.07。
结果为巴西提供了首个基于人群的 SF-6D 健康状态值集，从而可以使用区域数据生成成本效用研究的质量调整生命年。此外，可以从现有的 SF-36 数据集推导出使用来自巴西南部人群样本的偏好得出的效用权重。
