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基于SF-12健康调查问卷的偏好性健康测量评估

The estimation of a preference-based measure of health from the SF-12.

作者信息

Brazier John E, Roberts Jennifer

机构信息

Health Economics and Decision Science Group, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.

出版信息

Med Care. 2004 Sep;42(9):851-9. doi: 10.1097/01.mlr.0000135827.18610.0d.

DOI:10.1097/01.mlr.0000135827.18610.0d
PMID:15319610
Abstract

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. There 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.

摘要

背景

SF-12是一种与健康相关生活质量的多维通用测量工具。由于其简洁性和心理测量性能,它已在临床试验和常规结果评估中广泛使用,但以其当前形式不能用于经济评估。

目的

我们试图从SF-12中得出一种基于偏好的健康测量方法,用于经济评估,并将其与原始的基于偏好的SF-36指数进行比较。

研究设计

基于旨在确保描述性信息损失最小化的项目选择过程,将SF-12修订为6维健康状态分类(SF-6D [SF-12])。

受试者

由611名英国普通人群的代表性样本使用标准博弈(SG)技术对SF-6D定义的241种状态(共7500种)进行了估值。

分析

估计SF-6D(SF-12)与SG值之间关系的模型,并根据其系数、整体拟合度以及预测所有健康状态SG值的能力进行评估。

结果

模型得出了SF-6D(SF-12)水平的显著系数,这些系数在模型规范中具有稳健性。这些系数与SF-36版本的系数相似,拟合度也达到了相似水平。存在一些不一致估计的问题,已对这些问题进行合并以产生最终推荐模型。与SF-36模型一样,有证据表明对最差健康状态的值预测过高。

结论

SF-12指数为希望评估干预措施成本效益的研究人员和政策制定者提供了一个有用的工具。

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