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Adjustment of foreign EQ-5D-3L utilities can increase their transferability

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, December 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
19 Mendeley
Title
Adjustment of foreign EQ-5D-3L utilities can increase their transferability
Published in
ClinicoEconomics and Outcomes Research: CEOR, December 2015
DOI 10.2147/ceor.s93280
Pubmed ID
Authors

Lars Oddershede, Karin Dam Petersen

Abstract

Foreign utilities of the EQ-5D-3L (3-level version of the EuroQol-5 Dimension of health questionnaire) are not readily transferrable to economic evaluations conducted from a national perspective. It has been advised to avoid transferring mean utilities from one country to another without adjusting them; yet no such method exists. The present study aimed to develop a method for adjusting mean utilities to increase their transferability from one country to another. Seven datasets containing EQ-5D-3L answers were valued using value sets from four countries: the UK, the Netherlands, Germany, and Spain. Hereby, seven mean utility values were obtained for each country. This allowed for three pairwise comparisons: 1) UK mean values vs Dutch mean values; 2) UK mean values vs German mean values; and 3) UK mean values vs Spanish mean values. For each of these three comparisons, a regression model was fitted using the mean UK utilities as the dependent variable and the other country's mean utilities as the independent variable. The coefficients from the three regression models were validated using results from a published article containing mean utilities obtained by valuing the EQ-5D-3L data using all four value sets. The findings suggested that adjustment of foreign utilities may increase transferability between countries where value sets are not comparable. It was possible to adjust the mean utilities valued by the Dutch and German value sets to make them reflect mean UK utilities as there were substantial differences between these value sets. Transferability of the Spanish mean utility values was not improved as the Spanish and UK value sets are sufficiently similar. It is feasible to adjust foreign mean utilities of the EQ-5D-3L to make them reflect national preferences for health.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 21%
Student > Ph. D. Student 4 21%
Student > Doctoral Student 3 16%
Student > Master 2 11%
Student > Bachelor 2 11%
Other 4 21%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Economics, Econometrics and Finance 6 32%
Unspecified 4 21%
Business, Management and Accounting 1 5%
Social Sciences 1 5%
Other 1 5%

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 18 December 2015.
All research outputs
#2,553,430
of 6,790,336 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#80
of 239 outputs
Outputs of similar age
#100,917
of 288,037 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#5
of 15 outputs
Altmetric has tracked 6,790,336 research outputs across all sources so far. This one has received more attention than most of these and is in the 61st percentile.
So far Altmetric has tracked 239 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 64% 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 288,037 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 64% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.