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Governments Need Better Guidance to Maximise Value for Money: The Case of Australia’s Pharmaceutical Benefits Advisory Committee

Overview of attention for article published in Applied Health Economics and Health Policy, January 2016
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Title
Governments Need Better Guidance to Maximise Value for Money: The Case of Australia’s Pharmaceutical Benefits Advisory Committee
Published in
Applied Health Economics and Health Policy, January 2016
DOI 10.1007/s40258-015-0220-3
Pubmed ID
Authors

Drew Carter, Arlene Vogan, Hossein Haji Ali Afzali

Abstract

In Australia, the Pharmaceutical Benefits Advisory Committee (PBAC) makes recommendations to the Minister for Health on which pharmaceuticals should be subsidised. Given the implications of PBAC recommendations for government finances and population health, PBAC is required to provide advice primarily on the basis of value for money. The aim of this article is twofold: to describe some major limitations of the current PBAC decision-making process in relation to its implicit aim of maximising value for money; and to suggest what might be done toward overcoming these limitations. This should also offer lessons for the many decision-making bodies around the world that are similar to PBAC. The current PBAC decision-making process is limited in two important respects. First, it features the use of an implicit incremental cost-effectiveness ratio (ICER) threshold that may not reflect the opportunity cost of funding a new technology, with unknown and possibly negative consequences for population health. Second, the process does not feature a means of systematically assessing how a technology may be of greater or lesser value in light of factors that are not captured by standard measures of cost effectiveness, but which are nonetheless important, particularly to the Australian community. Overcoming these limitations would mean that PBAC could be more confident of maximising value for money when making funding decisions.

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Student > Bachelor 4 11%
Student > Ph. D. Student 4 11%
Other 3 9%
Student > Master 3 9%
Other 4 11%
Unknown 9 26%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Economics, Econometrics and Finance 5 14%
Nursing and Health Professions 4 11%
Social Sciences 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 5 14%
Unknown 10 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 March 2017.
All research outputs
#14,834,028
of 22,842,950 outputs
Outputs from Applied Health Economics and Health Policy
#511
of 776 outputs
Outputs of similar age
#221,081
of 396,850 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#13
of 21 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 776 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one is in the 31st percentile – i.e., 31% 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 396,850 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.