Literature DB >> 15452769

Chained time trade-off and standard gamble methods. Applications in oesophageal cancer.

Paul McNamee1, Sharon Glendinning, Jonathan Shenfine, Nick Steen, S Michael Griffin, John Bond.   

Abstract

It may be difficult to value palliative health states using health state valuation methods such as the time trade-off (TTO) and standard gamble (SG) where health states are traditionally valued relative to perfect/good health and death. Chained methods have been developed to help in this context. However, few studies have compared the values produced by chained TTO and SG methods. To address this issue, a study was conducted to measure the health state values associated with oesophageal cancer using chained TTO and SG techniques. The methods were found to be acceptable amongst the sample respondents, who had previously been treated for oesophageal cancer. There were no significant differences between the health state values produced by the TTO and the SG methods. Within each method, however, there were significant differences between the health states valued. It is concluded that the use of health state valuation techniques such as the TTO and SG is feasible amongst people with a history of oesophageal cancer.

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Year:  2004        PMID: 15452769     DOI: 10.1007/s10198-003-0217-y

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  20 in total

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Journal:  Med Decis Making       Date:  2002 Jan-Feb       Impact factor: 2.583

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  3 in total

Review 1.  Methods for measuring temporary health States for cost-utility analyses.

Authors:  Davene R Wright; Eve Wittenberg; J Shannon Swan; Rebecca A Miksad; Lisa A Prosser
Journal:  Pharmacoeconomics       Date:  2009       Impact factor: 4.981

2.  Preferences of patients with diabetes mellitus for inhaled versus injectable insulin regimens.

Authors:  Jeremy Chancellor; Samuel Aballéa; Alison Lawrence; Rob Sheldon; Sandrine Cure; Juliette Plun-Favreau; Nick Marchant
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

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Journal:  Cancer Med       Date:  2018-10-22       Impact factor: 4.452

  3 in total

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