Cost-utility analysis (CUA) is a form of
economicanalysis used to guide procurementdecisions. The most common and well-known application of this analysis is in pharmacoeconomics, especially health technology assessment(HTA).
CUA in health economics
In health economics, the purpose of CUA is to estimate the ratio between the cost of a health-related intervention and the benefit it produces in terms of the number of years lived in full health by the beneficiaries. Hence it can be considered a special case of
cost-effectiveness analysis, and the two terms are often used interchangeably. Costis measured in monetary units. Benefit needs to be expressed in a way that allows health states that are considered less preferable to full health to be given quantitativevalues. However, unlike cost-benefit analysis, the benefits do not have to be expressed in monetaryterms. In HTAs it is usually expressed in quality-adjusted life years(QALYs).
If, for example, intervention A allows a patient to live for three additional years than if no intervention had taken place, but only with a quality of life weight of 0.6, then the intervention confers 3 * 0.6 = 1.8 QALYs to the patient. If intervention B confers two extra years of life at a quality of life weight of 0.75, then it confers an additional 1.5 QALYs to the patient. The net benefit of intervention A over intervention B is therefore 1.8 - 1.5 = 0.3 QALYs.
incremental cost-effectiveness ratio(ICER) is the ratio between the difference in costs and the difference in benefits of two interventions. A thresholdvalue is often set by policy makers, who may decide that only interventions with an ICER below the threshold are cost effective (and therefore should be funded).
United Kingdom, as of January 2005, the National Institute for Health and Clinical Excellence(NICE) is believed to have a threshold of about £30,000 per QALY, although a formal figure has never been made public [ [cite journal
last = Devlin
first = Nancy
coauthors = David Parkin
date = 2004
title = Does NICE have a cost-effectiveness threshold and what other factors influence its decisions? A binary choice analysis
journal = Health Economics
volume = 13
issue = 5
pages = pp. 437–52
doi = 10.1002/hec.864 [http://www.city.ac.uk/economics/dps/discussion_papers/0301.pdf Article also available directly from the authors at City University, London, UK.] ] Thus, any health intervention which has an
incrementalcost of more than £30,000 per additional QALY gained is likely to be rejected and any intervention which has an incremental cost of less than or equal to £30,000 per extra QALY gained is likely to be accepted as cost-effective.
In North America, US$50000 per QALY is often suggested as a threshold ICER for a cost-effective intervention.
A complete compilation of cost-utility analyses in the peer reviewed medical literature is available at the [http://www.tufts-nemc.org/CEARegistry CEA Registry Website]
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