Collado-Mateo Daniel, Chen Gang, Garcia-Gordillo Miguel A, Iezzi Angelo, Adsuar José C, Olivares Pedro R, Gusi Narcis
Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain.
Centre for Health Economics, Monash University, Melbourne, Australia.
Health Qual Life Outcomes. 2017 May 30;15(1):114. doi: 10.1186/s12955-017-0690-0.
The revised version of the Fibromyalgia Impact Questionnaire (FIQR) is one of the most widely used specific questionnaires in FM studies. However, this questionnaire does not allow calculation of QALYs as it is not a preference-based measure. The aim of this study was to develop mapping algorithm which enable FIQR scores to be transformed into utility scores that can be used in the cost utility analyses.
A cross-sectional survey was conducted. One hundred and 92 Spanish women with Fibromyalgia were asked to complete four general quality of life questionnaires, i.e. EQ-5D-5 L, 15D, AQoL-8D and SF-12, and one specific disease instrument, the FIQR. A direct mapping approach was adopted to derive mapping algorithms between the FIQR and each of the four multi-attribute utility (MAU) instruments. Health state utility was treated as the dependent variable in the regression analysis, whilst the FIQR score and age were predictors.
The mean utility scores ranged from 0.47 (AQoL-8D) to 0.69 (15D). All correlations between the FIQR total score and MAU instruments utility scores were highly significant (p < 0.0001) with magnitudes larger than 0.5. Although very slight differences in the mean absolute error were found between ordinary least squares (OLS) estimator and generalized linear model (GLM), models based on GLM were better for EQ-5D-5 L, AQoL-8D and 15D.
Mapping algorithms developed in this study enable the estimation of utility values from scores in a fibromyalgia specific questionnaire.
纤维肌痛影响问卷（FIQR）修订版是纤维肌痛研究中使用最广泛的特定问卷之一。然而，该问卷不允许计算质量调整生命年（QALYs），因为它不是基于偏好的测量方法。本研究的目的是开发映射算法，使FIQR分数能够转换为可用于成本效用分析的效用分数。
进行了一项横断面调查。192名西班牙纤维肌痛女性被要求完成四份一般生活质量问卷，即EQ-5D-5L、15D、AQoL-8D和SF-12，以及一份特定疾病问卷FIQR。采用直接映射方法得出FIQR与四种多属性效用（MAU）工具中每一种之间的映射算法。在回归分析中，将健康状态效用作为因变量，而FIQR分数和年龄作为预测变量。
平均效用分数范围为0.47（AQoL-8D）至0.69（15D）。FIQR总分与MAU工具效用分数之间的所有相关性均高度显著（p < 0.0001），幅度大于0.5。尽管普通最小二乘法（OLS）估计器和广义线性模型（GLM）之间的平均绝对误差存在非常细微的差异，但基于GLM的模型在EQ-5D-5L、AQoL-8D和15D方面表现更好。
本研究中开发的映射算法能够根据纤维肌痛特定问卷中的分数估计效用值。
