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Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys

Overview of attention for article published in Population Health Metrics, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 blog
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4 X users

Citations

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29 Dimensions

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55 Mendeley
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Title
Head-to-head comparison between the EQ-5D-5L and the EQ-5D-3L in general population health surveys
Published in
Population Health Metrics, August 2018
DOI 10.1186/s12963-018-0170-8
Pubmed ID
Authors

Marc Martí-Pastor, Angels Pont, Mónica Ávila, Olatz Garin, Gemma Vilagut, Carlos G. Forero, Yolanda Pardo, Ricard Tresserras, Antonia Medina-Bustos, Oriol Garcia-Codina, Juan Cabasés, Luis Rajmil, Jordi Alonso, Montse Ferrer

Abstract

The EQ-5D has been frequently used in national health surveys. This study is a head-to-head comparison to assess how expanding the number of levels from three (EQ-5D-3L) to five in the new EQ-5D-5L version has improved its distribution, discriminatory power, and validity in the general population. A representative sample (N = 7554) from the Catalan Health Interview Survey 2011-2012, aged ≥18, answered both EQ-5D versions, and we evaluated the response redistribution and inconsistencies between them. To assess validity of this redistribution, we calculated the mean of the Visual Analogue Scale (VAS), which measures perceived health. The discriminatory power was examined with Shannon Indices, calculated for each dimension separately. Spanish preference value sets were applied to obtain utility indices, examining their distribution with statistics of central tendency and dispersion. We estimated the proportion of individuals reporting the best health state in EQ-5D-5L and EQ-5D-3L within groups of specific chronic conditions and their VAS mean. A very small reduction in the percentage of individuals with the best health state was observed, from 61.8% in EQ-5D-3L to 60.8% in EQ-5D-5L. In contrast, a large proportion of individuals reporting extreme problems in the 3 L version moved to severe problems (level 4) in the 5 L version, particularly for pain/discomfort (75.5%) and anxiety/depression (66.4%). The average proportion of inconsistencies was 0.9%. The pattern of the perceived health VAS mean confirmed the hypothesis established a priori, supporting the validity of the observed redistribution. Shannon index showed that absolute informativity was higher in the 5 L version for all dimensions. The means (SD) of the Spanish EQ-5D-3L and EQ-5D-5L indices were 0.87 (0.25) and 0.89 (0.22). The proportion of individuals with the best health state within each specific chronic condition was very similar, regardless of the EQ-5D version (≤ 30% in half of the 28 chronic conditions). Although the proportion of individuals with the best possible health state is still very high, our findings support that the increase of levels provided by the EQ-5D-5L contributed to the validity and discriminatory power of this new version to measure health in general population, as in the national health surveys.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 13%
Student > Master 7 13%
Student > Bachelor 6 11%
Student > Doctoral Student 4 7%
Student > Ph. D. Student 4 7%
Other 9 16%
Unknown 18 33%
Readers by discipline Count As %
Medicine and Dentistry 11 20%
Nursing and Health Professions 5 9%
Psychology 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Earth and Planetary Sciences 2 4%
Other 9 16%
Unknown 20 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 August 2018.
All research outputs
#3,389,314
of 23,509,982 outputs
Outputs from Population Health Metrics
#87
of 389 outputs
Outputs of similar age
#62,890
of 302,560 outputs
Outputs of similar age from Population Health Metrics
#1
of 5 outputs
Altmetric has tracked 23,509,982 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 77% 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 302,560 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them