Literature DB >> 16389652

Exploring challenges to TTO utilities: valuing states worse than dead.

Angela Robinson1, Anne Spencer.   

Abstract

The conventional time trade off (TTO) method relies on fundamentally different procedures to assess states better than and worse than dead. Arbitrary transformation mechanisms are then applied to worse than dead scores in order to achieve symmetry with those rated as better than dead. We use a 'life profile' approach along with a ranking procedure in order to show how states rated worse than dead may be assessed in exactly the same manner as better than dead scores. We then explore a common issue associated with states worse than dead that has received some attention recently: maximal endurable time. Our results showed that, although the severe health state was commonly rated as worse than dead, there were relatively few respondents that exhibited MET preferences. We discuss the implications of our findings for the use of the TTO method in deriving values for states that are worse than dead. Copyright 2006 John Wiley & Sons, Ltd.

Mesh:

Year:  2006        PMID: 16389652     DOI: 10.1002/hec.1069

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  34 in total

1.  Empirical validation of patient versus population preferences in calculating QALYs.

Authors:  Eva-Julia Weyler; Afschin Gandjour
Journal:  Health Serv Res       Date:  2011-04-21       Impact factor: 3.402

2.  Time trade-off and attitudes toward euthanasia: implications of using 'death' as an anchor in health state valuation.

Authors:  Liv A Augestad; Kim Rand-Hendriksen; Knut Stavem; Ivar Sønbø Kristiansen
Journal:  Qual Life Res       Date:  2012-06-08       Impact factor: 4.147

3.  Thirty down, only ten to go?! Awareness and influence of a 10-year time frame in TTO.

Authors:  F E van Nooten; X Koolman; J J V Busschbach; W B F Brouwer
Journal:  Qual Life Res       Date:  2013-08-14       Impact factor: 4.147

Review 4.  Using QALYs in cancer: a review of the methodological limitations.

Authors:  Martina Garau; Koonal K Shah; Anne R Mason; Qing Wang; Adrian Towse; Michael F Drummond
Journal:  Pharmacoeconomics       Date:  2011-08       Impact factor: 4.981

5.  Impact of transformation of negative values and regression models on differences between the UK and US EQ-5D time trade-off value sets.

Authors:  Liv Ariane Augestad; Kim Rand-Hendriksen; Ivar Sønbø Kristiansen; Knut Stavem
Journal:  Pharmacoeconomics       Date:  2012-12-01       Impact factor: 4.981

6.  Eliciting preferences to the EQ-5D-5L health states: discrete choice experiment or multiprofile case of best-worst scaling?

Authors:  Feng Xie; Eleanor Pullenayegum; Kathryn Gaebel; Mark Oppe; Paul F M Krabbe
Journal:  Eur J Health Econ       Date:  2013-04-04

7.  The better than dead method: feasibility and interpretation of a valuation study.

Authors:  R A van Hoorn; A R T Donders; M Oppe; P F M Stalmeier
Journal:  Pharmacoeconomics       Date:  2014-08       Impact factor: 4.981

8.  Values for health states with different life durations.

Authors:  Luciana Scalone; Peep F M Stalmeier; Silvano Milani; Paul F M Krabbe
Journal:  Eur J Health Econ       Date:  2014-09-30

9.  Principles of Need and the Aggregation Thesis.

Authors:  Erik Gustavsson; Niklas Juth
Journal:  Health Care Anal       Date:  2019-06

10.  Preference values associated with stage III colon cancer and adjuvant chemotherapy.

Authors:  Jennie H Best; Louis P Garrison; William Hollingworth; Scott D Ramsey; David L Veenstra
Journal:  Qual Life Res       Date:  2010-04       Impact factor: 4.147

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