↓ Skip to main content

How important is severity for the evaluation of health services: new evidence using the relative social willingness to pay instrument

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, July 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Readers on

mendeley
30 Mendeley
Title
How important is severity for the evaluation of health services: new evidence using the relative social willingness to pay instrument
Published in
HEPAC Health Economics in Prevention and Care, July 2016
DOI 10.1007/s10198-016-0817-y
Pubmed ID
Authors

Jeff Richardson, Angelo Iezzi, Aimee Maxwell

Abstract

The 'severity hypothesis' is that a health service which increases a patient's utility by a fixed amount will be valued more highly when the initial health state is more severe. Supporting studies have employed a limited range of analytical techniques and the objective of the present paper is to test the hypothesis using a new methodology, the Relative Social Willingness to Pay. Three subsidiary hypotheses are: (1) that the importance of the 'severity effect' varies with the type of medical problem; (2) that the relationship between value and utility varies with the severity of the initial health state; and (3) that there is a threshold beyond which severity effects are insignificant. For each of seven different health problems respondents to a web-based survey were asked to allocate a budget to five services which would, cumulatively, move a person from near death to full health. The time trade-off utilities of health states before and after the service were estimated. The social valuation of the service measured by the budget allocation was regressed upon the corresponding increase in utility and severity as measured by the pre-service health state utility. Results confirm the severity hypothesis and support the subsidiary hypotheses. However, the effects identified are quantitatively significant only for the most severe health states. This implies a relatively limited redistribution of resources from those with less severe to those with more severe health problems.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Researcher 3 10%
Lecturer 2 7%
Other 6 20%
Unknown 9 30%
Readers by discipline Count As %
Nursing and Health Professions 4 13%
Medicine and Dentistry 4 13%
Economics, Econometrics and Finance 3 10%
Psychology 3 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 10%
Unknown 12 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 July 2016.
All research outputs
#16,045,990
of 25,371,288 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#856
of 1,303 outputs
Outputs of similar age
#229,218
of 379,924 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#7
of 11 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 379,924 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.