↓ Skip to main content

EQ-5D and the EuroQol Group: Past, Present and Future

Overview of attention for article published in Applied Health Economics and Health Policy, February 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 850)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
policy
4 policy sources
twitter
18 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
730 Dimensions

Readers on

mendeley
666 Mendeley
Title
EQ-5D and the EuroQol Group: Past, Present and Future
Published in
Applied Health Economics and Health Policy, February 2017
DOI 10.1007/s40258-017-0310-5
Pubmed ID
Authors

Nancy J. Devlin, Richard Brooks

Abstract

Over the period 1987-1991 an inter-disciplinary five-country group developed the EuroQol instrument, a five-dimensional three-level generic measure subsequently termed the 'EQ-5D'. It was designed to measure and value health status. The salient features of its development and its consolidation and expansion are discussed. Initial expansion came, in particular, in the form of new language versions. Their development raised translation and semantic issues, experience with which helped feed into the design of two further instruments, the EQ-5D-5L and the youth version EQ-5D-Y. The expanded usage across clinical programmes, disease and condition areas, population surveys, patient-reported outcomes, and value sets is outlined. Valuation has been of continued relevance for the Group as this has allowed its instruments to be utilised as part of the economic appraisal of health programmes and their incorporation into health technology assessments. The future of the Group is considered in the context of: (1) its scientific strategy, (2) changes in the external environment affecting the demand for EQ-5D, and (3) a variety of issues it is facing in the context of the design of the instrument, its use in health technology assessment, and potential new uses for EQ-5D outside of clinical trials and technology appraisal.

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 666 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 666 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 86 13%
Student > Ph. D. Student 71 11%
Researcher 69 10%
Student > Bachelor 65 10%
Student > Doctoral Student 36 5%
Other 106 16%
Unknown 233 35%
Readers by discipline Count As %
Medicine and Dentistry 167 25%
Nursing and Health Professions 72 11%
Economics, Econometrics and Finance 26 4%
Social Sciences 21 3%
Pharmacology, Toxicology and Pharmaceutical Science 20 3%
Other 96 14%
Unknown 264 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 15 February 2024.
All research outputs
#910,463
of 25,856,713 outputs
Outputs from Applied Health Economics and Health Policy
#17
of 850 outputs
Outputs of similar age
#20,124
of 435,323 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#1
of 24 outputs
Altmetric has tracked 25,856,713 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 850 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done particularly well, scoring higher than 98% 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 435,323 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.