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Health Qual Life Outcomes. 2017 May 30;15(1):114. doi: 10.1186/s12955-017-0690-0.

"Fibromyalgia and quality of life: mapping the revised fibromyalgia impact questionnaire to the preference-based instruments".

Author information

1
Faculty of Sport Sciences, University of Extremadura, Cáceres, Spain.
2
Centre for Health Economics, Monash University, Melbourne, Australia.
3
Department of Economics, Faculty of Economics and Business, University of Extremadura, Badajoz, Spain. miguelgarciagordillo@gmail.com.
4
Department of Applied Economics, Faculty of Economics and Business, University of Murcia, Murcia, Spain. miguelgarciagordillo@gmail.com.
5
Instituto de Actividad Fisica y Salud, Universidad Autonoma de Chile, Talca, Chile.
6
Instituto Superior de Educación Física, Universidad de la República, Montevideo, Uruguay.

Abstract

BACKGROUND:

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.

METHODS:

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.

RESULTS:

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.

CONCLUSION:

Mapping algorithms developed in this study enable the estimation of utility values from scores in a fibromyalgia specific questionnaire.

KEYWORDS:

15D; AQoL-8D; EQ-5D-5 L; SF-6D

PMID:
28558703
PMCID:
PMC5450359
DOI:
10.1186/s12955-017-0690-0
[Indexed for MEDLINE]
Free PMC Article

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