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

Overview of attention for article published in Health and Quality of Life Outcomes, May 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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3 X users
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1 Facebook page
reddit
1 Redditor

Citations

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18 Dimensions

Readers on

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70 Mendeley
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Title
“Fibromyalgia and quality of life: mapping the revised fibromyalgia impact questionnaire to the preference-based instruments”
Published in
Health and Quality of Life Outcomes, May 2017
DOI 10.1186/s12955-017-0690-0
Pubmed ID
Authors

Daniel Collado-Mateo, Gang Chen, Miguel A. Garcia-Gordillo, Angelo Iezzi, José C. Adsuar, Pedro R. Olivares, Narcis Gusi

Abstract

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 16%
Student > Master 6 9%
Other 5 7%
Researcher 5 7%
Student > Doctoral Student 5 7%
Other 16 23%
Unknown 22 31%
Readers by discipline Count As %
Medicine and Dentistry 13 19%
Nursing and Health Professions 10 14%
Sports and Recreations 5 7%
Psychology 5 7%
Economics, Econometrics and Finance 3 4%
Other 11 16%
Unknown 23 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 July 2021.
All research outputs
#13,708,636
of 24,061,085 outputs
Outputs from Health and Quality of Life Outcomes
#1,053
of 2,232 outputs
Outputs of similar age
#153,804
of 319,629 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#26
of 69 outputs
Altmetric has tracked 24,061,085 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,232 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 52% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 319,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.