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A new method for valuing health: directly eliciting personal utility functions

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, July 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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1 blog
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16 X users
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1 Facebook page

Citations

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27 Dimensions

Readers on

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64 Mendeley
Title
A new method for valuing health: directly eliciting personal utility functions
Published in
HEPAC Health Economics in Prevention and Care, July 2018
DOI 10.1007/s10198-018-0993-z
Pubmed ID
Authors

Nancy J. Devlin, Koonal K. Shah, Brendan J. Mulhern, Krystallia Pantiri, Ben van Hout

Abstract

Standard methods for eliciting the preference data upon which 'value sets' are based generally have in common an aim to 'uncover' people's preferences by asking them to evaluate a subset of health states, then using their responses to infer their preferences over all dimensions and levels. An alternative approach is to ask people directly about the relative importance to them of the dimensions, levels and interactions between them. This paper describes a new stated preference approach for directly eliciting personal utility functions (PUFs), and reports a pilot study to test its feasibility for valuing the EQ-5D. A questionnaire was developed, designed to directly elicit PUFs from general public respondents via computer-assisted personal interviews, with a focus on helping respondents to reflect and deliberate on their preferences. The questionnaire was piloted in England. Seventy-six interviews were conducted in December 2015. Overall, pain/discomfort and mobility were found to be the most important of the EQ-5D dimensions. The ratings for intermediate improvements in each dimension show heterogeneity, both within and between respondents. Almost a quarter of respondents indicated that no EQ-5D health states are worse than dead. The PUF approach appears to be feasible, and has the potential to yield meaningful, well-informed preference data from respondents that can be aggregated to yield a value set for the EQ-5D. A deliberative approach to health state valuation also has the potential to complement and develop existing valuation methods. Further refinement of some elements of the approach is required.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 22 34%
Researcher 9 14%
Student > Ph. D. Student 7 11%
Professor 3 5%
Student > Master 3 5%
Other 8 13%
Unknown 12 19%
Readers by discipline Count As %
Unspecified 22 34%
Medicine and Dentistry 7 11%
Economics, Econometrics and Finance 5 8%
Social Sciences 4 6%
Nursing and Health Professions 2 3%
Other 12 19%
Unknown 12 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 October 2022.
All research outputs
#2,031,431
of 25,385,509 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#81
of 1,303 outputs
Outputs of similar age
#40,654
of 340,079 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#2
of 19 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 93% 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 340,079 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 88% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.