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A QALY loss is a QALY loss is a QALY loss: a note on independence of loss aversion from health states

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

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 1,303)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
12 X users
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

mendeley
36 Mendeley
Title
A QALY loss is a QALY loss is a QALY loss: a note on independence of loss aversion from health states
Published in
HEPAC Health Economics in Prevention and Care, September 2018
DOI 10.1007/s10198-018-1008-9
Pubmed ID
Authors

Stefan A. Lipman, Werner B. F. Brouwer, Arthur E. Attema

Abstract

Evidence has accumulated documenting loss aversion for monetary and, recently, for health outcomes-meaning that, generally, losses carry more weight than equally sized gains. In the conventional Quality-Adjusted Life Year (QALY) models, which comprise utility for quality and length of life, loss aversion is not taken into account. When measuring elements of the QALY model, commonly, the (implicit) assumption is that utility for length and quality of life are independent. First attempts to quantify loss aversion for QALYs typically measured loss aversion in the context of life duration, keeping quality of life constant (or vice versa). However, given that QALYs are multi-attribute utilities, it may be possible that the degree of loss aversion is dependent on, or inseparable from, quality of life and non-constant. We test this assumption using non-parametric methodology to quantify loss aversion, under different levels of quality of life. We measure utility of life duration for four health states within subjects, and present the results of a robustness test of loss aversion within the QALY model. We find loss aversion coefficients to be stable at the aggregate level, albeit with considerable heterogeneity at the individual level. Implications for applied work on prospect theory within health economics are discussed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Professor > Associate Professor 4 11%
Student > Ph. D. Student 3 8%
Lecturer 2 6%
Student > Master 2 6%
Other 5 14%
Unknown 15 42%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 14%
Social Sciences 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 7 19%
Unknown 16 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 05 March 2020.
All research outputs
#1,246,063
of 25,385,509 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#37
of 1,303 outputs
Outputs of similar age
#26,484
of 351,242 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#2
of 16 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 95th percentile: it's in the top 5% 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 97% 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 351,242 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 92% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.