The estimation of a preference-based measure of health from the SF-12
The estimation of a preference-based measure of health from the SF-12
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DOI：
10.1097/01.mlr.0000135827.18610.0d
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发表时间：
2004-09-01
期刊：
影响因子：
3
通讯作者：
Roberts, J
中科院分区：
文献类型：
--
作者：
Brazier, JE;Roberts, J
背景：SF-12是健康相关生活质量的多维通用测量。它已成为广泛使用的临床试验和常规的结果评估，因为它的简洁性和心理测量性能，但它不能用于经济evaluation.Objectives：我们试图得出一个基于偏好的衡量健康的SF-12用于经济evaluation和比较它与原来的SF-36偏好为基础的指数。研究设计：将SF-12修订为6维健康状态分类（SF-6D [SF-12]）基于项目选择过程，旨在确保描述性信息的最小损失。受试者：SF-6D定义的241个状态的样本（7500个）已被评估的代表性样本的611名成员的英国一般人口使用标准的赌博（SG）技术。分析：模型估计SF-6D（SF-12）和SG值之间的关系，并根据其系数、总体拟合和预测所有健康状态的SG值的能力进行评估。模型产生了SF-6D（SF-12）水平的显著系数，其在模型质量标准中具有稳健性。这些系数与SF-36版本的系数相似，并达到相似的拟合水平。这里有一些不一致的估计问题，这些问题已经合并，以产生最终的推荐模型。至于SF-36模型，有证据表明，过度预测的价值最贫穷的健康states.Conclusions：SF-12指数提供了一个有用的工具，希望评估干预措施的成本效益的研究人员和政策制定者。
Background: The SF-12 is a multidimensional generic measure of health-related quality of life. It has become widely used in clinical trials and routine outcome assessment because of its brevity and psychometric performance, but it cannot be used in economic evaluation in its current form.Objectives: We sought to derive a preference-based measure of health from the SF-12 for use in economic evaluation and to compare it with the original SF-36 preference-based index.Research Design: The SF-12 was revised into a 6-dimensional health state classification (SF-6D [SF-12]) based on an item selection process designed to ensure the minimum loss of descriptive information.Subjects: A sample of 241 states defined by the SF-6D (of 7500) have been valued by a representative sample of 611 members of the UK general population using the standard gamble (SG) technique.Analysis: Models are estimated of the relationship between the SF-6D (SF-12) and SG values and evaluated in terms of their coefficients, overall fit, and the ability to predict SG values for all health states.Results: The models have produced significant coefficients for levels of the SF-6D (SF-12), which are robust across model specification. The coefficients are similar to those of the SF-36 version and achieve similar levels of fit. here are concerns with some inconsistent estimates and these have been merged to produce the final recommended model. As for the SF-36 model, there is evidence of over prediction of the value of the poorest health states.Conclusions: The SF-12 index provides a useful tool for researchers and policy makers wishing to assess the cost-effectiveness of interventions.