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Role of Cost on Failure to Access Prescribed Pharmaceuticals: The Case of Statins

Overview of attention for article published in Applied Health Economics and Health Policy, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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1 blog
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35 Mendeley
Title
Role of Cost on Failure to Access Prescribed Pharmaceuticals: The Case of Statins
Published in
Applied Health Economics and Health Policy, June 2017
DOI 10.1007/s40258-017-0336-8
Pubmed ID
Authors

Ian McRae, Kees van Gool, Jane Hall, Laurann Yen

Abstract

In Australia, as in many other Western countries, patient surveys suggest the costs of medicines lead to deferring or avoiding filling of prescriptions. The Australian Pharmaceutical Benefits Scheme provides approved prescription medicines at subsidised prices with relatively low patient co-payments. The Pharmaceutical Benefits Scheme defines patient co-payment levels per script depending on whether patients are "concessional" (holding prescribed pension or other government concession cards) or "general", and whether they have reached a safety net defined by total out-of-pocket costs for Pharmaceutical Benefits Scheme-approved medicines. The purpose of this study was to explore the impact of costs on adherence to statins in this relatively low-cost environment. Using data from a large-scale survey of older Australians in the state of New South Wales linked to administrative data from the national medical and pharmaceutical insurance schemes, we explore the relationships between adherence to medication regimes for statins and out-of-pocket costs of prescribed pharmaceuticals, income, other health costs, and a wide set of demographic and socio-economic control variables using both descriptive analysis and logistic regressions. Within the general non-safety net group, which has the highest co-payment, those with lowest income have the lowest adherence, suggesting that the general safety threshold may be set at a level that forms a major barrier to statin adherence. This is reinforced by over 75% of those who were not adherent before reaching the safety net threshold becoming adherent after reaching the safety net with its lower co-payments. The main financial determinant of adherence is the concessional/general and safety net category of the patient, which means the main determinant is the level of co-payment.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 %
Student > Master 9 26%
Researcher 7 20%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Other 2 6%
Other 2 6%
Unknown 10 29%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 14%
Economics, Econometrics and Finance 5 14%
Medicine and Dentistry 5 14%
Social Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Other 5 14%
Unknown 12 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 03 July 2017.
All research outputs
#4,055,678
of 22,982,639 outputs
Outputs from Applied Health Economics and Health Policy
#176
of 784 outputs
Outputs of similar age
#72,032
of 315,511 outputs
Outputs of similar age from Applied Health Economics and Health Policy
#3
of 8 outputs
Altmetric has tracked 22,982,639 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 784 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done well, scoring higher than 77% 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 315,511 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.