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Performance-Based Risk-Sharing Arrangements: An Updated International Review

Overview of attention for article published in PharmacoEconomics, July 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
3 news outlets
policy
1 policy source
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
90 Mendeley
Title
Performance-Based Risk-Sharing Arrangements: An Updated International Review
Published in
PharmacoEconomics, July 2017
DOI 10.1007/s40273-017-0535-z
Pubmed ID
Authors

Josh J. Carlson, Shuxian Chen, Louis P. Garrison

Abstract

Enthusiasm for performance-based risk-sharing arrangements (PBRSAs) continues but at variable pace across countries. Our objective was to identify and characterize publicly available cases and related trends for these arrangements. We performed a review of PBRSAs from 1993 to 2016 using the University of Washington PBRSA Database. Arrangements were categorized according to a previously published taxonomy. Macro-level trends were identified related to the timing of adoption, countries involved, types of arrangements, and disease areas. Our search yielded 437 arrangements. Among these, 183 (41.9%) were categorized as currently active, while 58.1% have expired. Five main types of arrangements have been identified, namely coverage with evidence development (149 cases, 34.1%), performance-linked reimbursement (104 cases, 23.8%), conditional treatment continuation (78 cases, 17.8%), financial or utilization (71 cases, 16.2%), and hybrid schemes with multiple components (35 cases, 8.0%). The pace of adoption varies across countries but has renewed an upward trend after a lull in 2012/2013. Conditions in the USA may be changing toward a more favorable environment of PBRSAs. Interest in PBRSAs remains high, suggesting they are a viable coverage and reimbursement mechanism for a wide range of medical products.

X Demographics

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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 90 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Master 11 12%
Other 9 10%
Student > Ph. D. Student 7 8%
Student > Bachelor 6 7%
Other 17 19%
Unknown 25 28%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 18 20%
Economics, Econometrics and Finance 11 12%
Medicine and Dentistry 11 12%
Business, Management and Accounting 6 7%
Social Sciences 6 7%
Other 10 11%
Unknown 28 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 07 April 2022.
All research outputs
#1,314,780
of 26,017,215 outputs
Outputs from PharmacoEconomics
#51
of 2,008 outputs
Outputs of similar age
#25,521
of 328,118 outputs
Outputs of similar age from PharmacoEconomics
#2
of 30 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,008 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 97% 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 328,118 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 92% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.