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The ideal of equal health revisited: definitions and measures of inequity in health should be better integrated with theories of distributive justice

Overview of attention for article published in International Journal for Equity in Health, November 2009
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Title
The ideal of equal health revisited: definitions and measures of inequity in health should be better integrated with theories of distributive justice
Published in
International Journal for Equity in Health, November 2009
DOI 10.1186/1475-9276-8-40
Pubmed ID
Authors

Ole Frithjof Norheim, Yukiko Asada

Abstract

The past decade witnessed great progress in research on health inequities. The most widely cited definition of health inequity is, arguably, the one proposed by Whitehead and Dahlgren: "Health inequalities that are avoidable, unnecessary, and unfair are unjust." We argue that this definition is useful but in need of further clarification because it is not linked to broader theories of justice. We propose an alternative, pluralist notion of fair distribution of health that is compatible with several theories of distributive justice. Our proposed view consists of the weak principle of health equality and the principle of fair trade-offs. The weak principle of health equality offers an alternative definition of health equity to those proposed in the past. It maintains the all-encompassing nature of the popular Whitehead/Dahlgren definition of health equity, and at the same time offers a richer philosophical foundation. This principle states that every person or group should have equal health except when: (a) health equality is only possible by making someone less healthy, or (b) there are technological limitations on further health improvement. In short, health inequalities that are amenable to positive human intervention are unfair. The principle of fair trade-offs states that weak equality of health is morally objectionable if and only if: (c) further reduction of weak inequality leads to unacceptable sacrifices of average or overall health of the population, or (d) further reduction in weak health inequality would result in unacceptable sacrifices of other important goods, such as education, employment, and social security.

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X Demographics

The data shown below were collected from the profiles of 2 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Colombia 1 <1%
Nepal 1 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Egypt 1 <1%
Canada 1 <1%
Unknown 167 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 19%
Researcher 26 15%
Student > Master 22 13%
Student > Doctoral Student 15 9%
Student > Bachelor 13 7%
Other 36 21%
Unknown 29 17%
Readers by discipline Count As %
Social Sciences 42 24%
Medicine and Dentistry 40 23%
Nursing and Health Professions 13 7%
Economics, Econometrics and Finance 10 6%
Philosophy 9 5%
Other 25 14%
Unknown 36 21%
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 25 October 2019.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from International Journal for Equity in Health
#1,767
of 2,222 outputs
Outputs of similar age
#149,316
of 178,502 outputs
Outputs of similar age from International Journal for Equity in Health
#6
of 6 outputs
Altmetric has tracked 25,374,647 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 2,222 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 15th percentile – i.e., 15% 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 178,502 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.