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‘Real-world’ health care priority setting using explicit decision criteria: a systematic review of the literature

Overview of attention for article published in BMC Health Services Research, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

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Title
‘Real-world’ health care priority setting using explicit decision criteria: a systematic review of the literature
Published in
BMC Health Services Research, April 2015
DOI 10.1186/s12913-015-0814-3
Pubmed ID
Authors

Ian Cromwell, Stuart J Peacock, Craig Mitton

Abstract

Health care decision making requires making resource allocation decisions among programs, services, and technologies that all compete for a finite resource pool. Methods of priority setting that use explicitly defined criteria can aid health care decision makers in arriving at funding decisions in a transparent and systematic way. The purpose of this paper is to review the published literature and examine the use of criteria-based methods in 'real-world' health care allocation decisions. A systematic review of the published literature was conducted to find examples of 'real-world' priority setting exercises that used explicit criteria to guide decision-making. We found thirty-two examples in the peer-reviewed and grey literature, using a variety of methods and criteria. Program effectiveness, equity, affordability, cost-effectiveness, and the number of beneficiaries emerged as the most frequently-used decision criteria. The relative importance of criteria in the 'real-world' trials differed from the frequency in preference elicitation exercises. Neither the decision-making method used, nor the relative economic strength of the country in which the exercise took place, appeared to have a strong effect on the type of criteria chosen. Health care decisions are made based on criteria related both to the health need of the population and the organizational context of the decision. Following issues related to effectiveness and affordability, ethical issues such as equity and accessibility are commonly identified as important criteria in health care resource allocation decisions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Canada 1 <1%
Unknown 153 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 18%
Researcher 18 12%
Student > Ph. D. Student 16 10%
Other 15 10%
Student > Postgraduate 10 6%
Other 26 17%
Unknown 42 27%
Readers by discipline Count As %
Medicine and Dentistry 29 19%
Social Sciences 18 12%
Nursing and Health Professions 15 10%
Business, Management and Accounting 7 5%
Economics, Econometrics and Finance 6 4%
Other 30 19%
Unknown 50 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 May 2015.
All research outputs
#5,828,064
of 23,577,654 outputs
Outputs from BMC Health Services Research
#2,509
of 7,846 outputs
Outputs of similar age
#66,420
of 266,268 outputs
Outputs of similar age from BMC Health Services Research
#28
of 88 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,846 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 67% 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 266,268 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.