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Pharmaceutical policies: effects of cap and co-payment on rational drug use

Overview of attention for article published in this source, January 2008
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Mentioned by

1 policy source
9 tweeters
1 Facebook page


115 Dimensions

Readers on

133 Mendeley
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Pharmaceutical policies: effects of cap and co-payment on rational drug use
Published by
John Wiley & Sons, Ltd, January 2008
DOI 10.1002/14651858.cd007017
Pubmed ID

Austvoll-Dahlgren, Astrid, Aaserud, Morten, Vist, Gunn Elisabeth, Ramsay, Craig, Oxman, Andrew D, Sturm, Heidrun, Kösters, Jan Peter, Vernby, Åsa


Growing expenditures on prescription drugs represent a major challenge to many health systems. Cap and co-payment (direct cost-share) policies are intended as an incentive to deter unnecessary or marginal utilisation, and to reduce third-party payer expenditures by shifting parts of the financial burden from the insurer to patients, thus increasing their financial responsibility for prescription drugs. Direct patient drug payment policies include caps (maximum number of prescriptions or drugs that are reimbursed), fixed co-payments (patients pay a fixed amount per prescription or drug), coinsurance (patients pay a percent of the price), ceilings (patients pay the full price or part of the cost up to a ceiling, after which drugs are free or available at reduced cost), and tier co-payments (differential co-payments usually assigned to generic and brand drugs).

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Portugal 2 2%
Germany 2 2%
Brazil 2 2%
United Kingdom 1 <1%
Ghana 1 <1%
Unknown 122 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 23%
Student > Master 27 20%
Student > Ph. D. Student 25 19%
Student > Doctoral Student 9 7%
Other 7 5%
Other 23 17%
Unknown 11 8%
Readers by discipline Count As %
Medicine and Dentistry 54 41%
Social Sciences 21 16%
Pharmacology, Toxicology and Pharmaceutical Science 12 9%
Economics, Econometrics and Finance 9 7%
Computer Science 4 3%
Other 18 14%
Unknown 15 11%