Bansback Nick, Marra Carlo, Tsuchiya Aki, Anis Aslam, Guh Daphne, Hammond Tony, Brazier John
St. Paul's Hospital, Vancouver, British Columbia, Canada.
Arthritis Rheum. 2007 Aug 15;57(6):963-71. doi: 10.1002/art.22885.
To estimate the relationship between preference-based measures, EuroQol (EQ-5D) and SF-6D, and the Health Assessment Questionnaire (HAQ) disability index (DI) in patients with rheumatoid arthritis (RA), and to characterize components that are predictors of health utility.
Patients with RA participating in 2 studies in the UK (n = 151) and Canada (n = 319) completed the HAQ, EQ-5D, and Short Form 36 (SF-36). The SF-36, a generic measure of quality of life, was converted into the preference-based SF-6D. From these results we developed models of the relationship between the HAQ and SF-6D and EQ-5D using various regression analyses.
The optimal model developed for the EQ-5D entered levels for each item as independent variables (model 5). A root mean square error (RMSE) of 0.18 suggested relatively good predictive ability. For the SF-6D, RMSEs were lower (0.09), suggesting better predictions than for the EQ-5D, but models with more explanatory variables did not improve results (model 2 or 4 optimal). The models were able to predict actual SF-6D and EQ-5D across the range of the HAQ DI.
Our approach enabled calculations of quality-adjusted life years from existing trials where only the HAQ was measured. All aspects of the HAQ may not be reflected in the preference-based measures, and this method is suboptimal to direct measurement of health state utility in clinical trials. Given this limitation, our approach provides an alternative for researchers who need health-state utility values, but had not included a preference-based measure in their clinical study because of resource constraints or a desire to limit patient burden.
评估基于偏好的测量工具(欧洲五维健康量表(EQ - 5D)和健康效用值简表(SF - 6D))与类风湿关节炎(RA)患者的健康评估问卷(HAQ)残疾指数(DI)之间的关系,并确定作为健康效用预测指标的组成部分。
参与英国(n = 151)和加拿大(n = 319)两项研究的RA患者完成了HAQ、EQ - 5D和简明健康状况调查问卷(SF - 36)。SF - 36是一种通用的生活质量测量工具,被转换为基于偏好的SF - 6D。根据这些结果,我们使用各种回归分析建立了HAQ与SF - 6D和EQ - 5D之间关系的模型。
为EQ - 5D建立的最优模型将每个项目的水平作为自变量纳入(模型5)。均方根误差(RMSE)为0.18,表明预测能力相对较好。对于SF - 6D,RMSE较低(0.09),表明预测效果优于EQ - 5D,但具有更多解释变量的模型并未改善结果(模型2或4最优)。这些模型能够在HAQ DI的整个范围内预测实际的SF - 6D和EQ - 5D。
我们的方法能够根据仅测量了HAQ的现有试验计算质量调整生命年。HAQ的所有方面可能无法在基于偏好的测量工具中得到体现,并且这种方法在临床试验中直接测量健康状态效用方面并非最优。鉴于此限制,我们的方法为那些需要健康状态效用值,但由于资源限制或希望减轻患者负担而在临床研究中未纳入基于偏好的测量工具的研究人员提供了一种替代方案。