Literature DB >> 22938161

The general public's willingness to pay for tax increases to support unrestricted access to an Alzheimer's disease medication.

Mark Oremus1, Jean-Eric Tarride, Parminder Raina, Lehana Thabane, Gary Foster, Charlie H Goldsmith, Natasha Clayton.   

Abstract

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disorder highlighted by progressive declines in cognitive and functional abilities.
OBJECTIVE: Our objective was to assess the general public's maximum willingness to pay ((M)WTP) for an increase in annual personal income taxes to fund unrestricted access to AD medications.
METHODS: We randomly recruited 500 Canadians nationally and used computer-assisted telephone interviewing to administer a questionnaire. The questionnaire contained four 'efficacy' scenarios describing an AD medication as capable of symptomatically treating cognitive decline or modifying disease progression. The scenarios also described the medication as having no adverse effects or a 30% chance of adverse effects. We randomized participants to order of scenarios and willingness-to-pay bid values; (M)WTP for each scenario was the highest accepted bid for that scenario. We conducted linear regression and bootstrap sensitivity analyses to investigate potential determinants of (M)WTP.
RESULTS: Mean (M)WTP was highest for the 'disease modification/no adverse effects' scenario ($Can130.26) and lowest for the 'symptomatic treatment/30% chance of adverse effects' scenario ($Can99.16). Bootstrap analyses indicated none of our potential determinants (e.g. age, sex) were associated with participants' (M)WTP.
CONCLUSIONS: The general public is willing to pay higher income taxes to fund unrestricted access to AD (especially disease-modifying) medications. Consequently, the public should favour placing new AD medications on public drug plans. As far as we are aware, no other study has elicited the general public's willingness to pay for AD medications.

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Year:  2012        PMID: 22938161     DOI: 10.2165/11594180-000000000-00000

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


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