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Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data

Overview of attention for article published in Health and Quality of Life Outcomes, October 2017
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Title
Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data
Published in
Health and Quality of Life Outcomes, October 2017
DOI 10.1186/s12955-017-0770-1
Pubmed ID
Authors

Samer A. Kharroubi

Abstract

Valuations of health state descriptors such as EQ-5D or SF6D have been conducted in different countries. There is a scope to make use of the results in one country as informative priors to help with the analysis of a study in another, for this to enable better estimation to be obtained in the new country than analyzing its data separately. Data from 2 EQ-5D valuation studies were analyzed using the time trade-off technique, where values for 42 health states were devised from representative samples of the UK and US populations. A Bayesian non-parametric approach has been applied to predict the health utilities of the US population, where the UK results were used as informative priors in the model to improve their estimation. The findings showed that employing additional information from the UK data helped in the production of US utility estimates much more precisely than would have been possible using the US study data alone. It is very plausible that this method would serve useful in countries where the conduction of large evaluation studies is not very feasible.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 36%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Professor > Associate Professor 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 5 36%
Readers by discipline Count As %
Mathematics 2 14%
Medicine and Dentistry 2 14%
Nursing and Health Professions 1 7%
Psychology 1 7%
Economics, Econometrics and Finance 1 7%
Other 0 0%
Unknown 7 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 October 2017.
All research outputs
#17,917,778
of 23,005,189 outputs
Outputs from Health and Quality of Life Outcomes
#1,512
of 2,186 outputs
Outputs of similar age
#231,268
of 323,390 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#41
of 65 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 21st percentile – i.e., 21% of its peers scored the same or lower than it.
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