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dc.contributor.authorCollado-Mateo D.
dc.contributor.authorChen G.
dc.contributor.authorGarcia-Gordillo M.A.
dc.contributor.authorIezzi A.
dc.contributor.authorAdsuar J.C.
dc.contributor.authorOlivares P.R.
dc.contributor.authorGusi N.
dc.date.accessioned2020-09-02T22:14:57Z
dc.date.available2020-09-02T22:14:57Z
dc.date.issued2017
dc.identifier10.1186/s12955-017-0690-0
dc.identifier.citation15, 1, -
dc.identifier.issn14777525
dc.identifier.urihttps://hdl.handle.net/20.500.12728/4051
dc.descriptionBackground: 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. © 2017 The Author(s).
dc.language.isoen
dc.publisherBioMed Central Ltd.
dc.subject15D
dc.subjectAQoL-8D
dc.subjectEQ-5D-5 L
dc.subjectSF-6D
dc.subjectadult
dc.subjectage
dc.subjectaged
dc.subjectArticle
dc.subjectcost utility analysis
dc.subjectcross-sectional study
dc.subjectfemale
dc.subjectfibromyalgia
dc.subjectFibromyalgia Impact Questionnaire
dc.subjecthuman
dc.subjectmajor clinical study
dc.subjectmeasurement precision
dc.subjectquality of life
dc.subjectquality of life assessment
dc.subjectregression analysis
dc.subjectstatistical model
dc.subjectvery elderly
dc.subjectalgorithm
dc.subjectfibromyalgia
dc.subjectmiddle aged
dc.subjectpsychology
dc.subjectquality adjusted life year
dc.subjectquestionnaire
dc.subjectSpain
dc.subjectAdult
dc.subjectAged
dc.subjectAlgorithms
dc.subjectCross-Sectional Studies
dc.subjectFemale
dc.subjectFibromyalgia
dc.subjectHumans
dc.subjectLinear Models
dc.subjectMiddle Aged
dc.subjectQuality of Life
dc.subjectQuality-Adjusted Life Years
dc.subjectSpain
dc.subjectSurveys and Questionnaires
dc.title"Fibromyalgia and quality of life: Mapping the revised fibromyalgia impact questionnaire to the preference-based instruments"
dc.typeArticle


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