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Caring externalities in health economic evaluation: how are they related to severity of illness?

Overview of attention for article published in Health Policy, January 2005
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Title
Caring externalities in health economic evaluation: how are they related to severity of illness?
Published in
Health Policy, January 2005
DOI 10.1016/j.healthpol.2004.11.008
Pubmed ID
Authors

Fredric Jacobsson, John Carstensen, Lars Borgquist

Abstract

In health economic evaluations, altruistic preferences in the form of caring externalities, i.e. that people care about others' health, is usually not taken into account. In this study we examined how people value their own and others' health. This pilot study was carried out by letting people answer willingness to pay (WTP) questionnaires where internal WTP (own health) and altruistic WTP (others' health) were isolated and examined. A common method used in health economic evaluations is cost-utility analysis, which is based on the maximisation of QALYs. QALY maximisation may be appropriate if altruistic preferences are non-existent or if they are linear in relation to internal preferences (QALYs gained). We found evidence for the existence of altruistic preferences and that these preferences were relatively higher for severe health states (and lower for mild states of health) compared to internal preferences, i.e. when severity of illness increased, the relative increase in caring was higher concerning others than oneself. The difference was statistically significant (P<0.001). Our results indicate that more attention and resources should be directed to severe health states, as compared to mild health states, than advocated by internal preferences in order to obtain more efficient resource allocation in the health care sector.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Nepal 1 2%
United States 1 2%
Germany 1 2%
Canada 1 2%
Unknown 51 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Master 11 20%
Student > Ph. D. Student 7 13%
Other 4 7%
Professor 3 5%
Other 8 15%
Unknown 10 18%
Readers by discipline Count As %
Medicine and Dentistry 12 22%
Economics, Econometrics and Finance 9 16%
Social Sciences 6 11%
Nursing and Health Professions 3 5%
Decision Sciences 2 4%
Other 5 9%
Unknown 18 33%
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 14 February 2014.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Health Policy
#2,352
of 2,827 outputs
Outputs of similar age
#129,877
of 151,303 outputs
Outputs of similar age from Health Policy
#40
of 40 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,827 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.1. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.