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Guidance on priority setting in health care (GPS-Health): the inclusion of equity criteria not captured by cost-effectiveness analysis

Overview of attention for article published in Cost Effectiveness and Resource Allocation, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#37 of 532)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
3 policy sources
twitter
7 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
142 Dimensions

Readers on

mendeley
266 Mendeley
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Title
Guidance on priority setting in health care (GPS-Health): the inclusion of equity criteria not captured by cost-effectiveness analysis
Published in
Cost Effectiveness and Resource Allocation, August 2014
DOI 10.1186/1478-7547-12-18
Pubmed ID
Authors

Ole F Norheim, Rob Baltussen, Mira Johri, Dan Chisholm, Erik Nord, DanW Brock, Per Carlsson, Richard Cookson, Norman Daniels, Marion Danis, Marc Fleurbaey, Kjell A Johansson, Lydia Kapiriri, Peter Littlejohns, Thomas Mbeeli, Krishna D Rao, Tessa Tan-Torres Edejer, Dan Wikler

Abstract

This Guidance for Priority Setting in Health Care (GPS-Health), initiated by the World Health Organization, offers a comprehensive map of equity criteria that are relevant to health care priority setting and should be considered in addition to cost-effectiveness analysis. The guidance, in the form of a checklist, is especially targeted at decision makers who set priorities at national and sub-national levels, and those who interpret findings from cost-effectiveness analysis. It is also targeted at researchers conducting cost-effectiveness analysis to improve reporting of their results in the light of these other criteria. THE GUIDANCE WAS DEVELOP THROUGH A SERIES OF EXPERT CONSULTATION MEETINGS AND INVOLVED THREE STEPS: i) methods and normative concepts were identified through a systematic review; ii) the review findings were critically assessed in the expert consultation meetings which resulted in a draft checklist of normative criteria; iii) the checklist was validated though an extensive hearing process with input from a range of relevant stakeholders. The GPS-Health incorporates criteria related to the disease an intervention targets (severity of disease, capacity to benefit, and past health loss); characteristics of social groups an intervention targets (socioeconomic status, area of living, gender; race, ethnicity, religion and sexual orientation); and non-health consequences of an intervention (financial protection, economic productivity, and care for others).

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
New Zealand 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 262 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 18%
Researcher 34 13%
Student > Ph. D. Student 24 9%
Student > Doctoral Student 16 6%
Student > Bachelor 16 6%
Other 57 21%
Unknown 71 27%
Readers by discipline Count As %
Medicine and Dentistry 58 22%
Social Sciences 30 11%
Economics, Econometrics and Finance 26 10%
Nursing and Health Professions 23 9%
Pharmacology, Toxicology and Pharmaceutical Science 8 3%
Other 39 15%
Unknown 82 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 28 May 2022.
All research outputs
#2,182,042
of 25,371,288 outputs
Outputs from Cost Effectiveness and Resource Allocation
#37
of 532 outputs
Outputs of similar age
#22,195
of 247,841 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#1
of 6 outputs
Altmetric has tracked 25,371,288 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 532 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. 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 247,841 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 91% of its contemporaries.
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. This one has scored higher than all of them