Literature DB >> 15744750

The gap effect: discontinuities of preferences around dead.

Peep F M Stalmeier1, Jan J V Busschbach, Leida M Lamers, Paul F M Krabbe.   

Abstract

BACKGROUND: The assessment of health states considered to be worse than dead is a controversial issue.
OBJECTIVE: To investigate how health states are valued when they are close to dead. Differences between adjacent states are compared with the differences between the first positive/first negative state with death.
METHODS: A secondary analysis of the EuroQol EQ-5D data of the measurement of valuation and health (MVH) study was made. Visual analog scale (VAS) and time trade-off (TTO) preferences for 43 health states were obtained. Various subsets of 13 states were valued by 3395 respondents. States were rank ordered by their VAS and TTO values. Differences between adjacent states were calculated for the VAS and the positive and negative TTO values.
RESULTS: Complete data were obtained in 2997 respondents. The differences between the ordered VAS values were equally large. In contrast, significant gaps around dead were found for the positive as well as the negative TTO values. DISCUSSION: These results are interpreted in light of a descriptive QALY model. This model was expanded to include utilities worse than dead. The VAS task does not pick up that bad states become intolerable, i.e. worse than dead, when they last too long, but the TTO task does. The current QALY model seems to lack descriptive validity for states valued worse than dead and for states with a maimal endurable time.

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Year:  2005        PMID: 15744750     DOI: 10.1002/hec.986

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


  11 in total

1.  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

2.  Differences in EQ-5D-3L health state valuations among patients with musculoskeletal diseases, health care professionals and healthy volunteers.

Authors:  Anja Schwalm; You-Shan Feng; Jörn Moock; Thomas Kohlmann
Journal:  Eur J Health Econ       Date:  2014-10-05

3.  Non-monotonicity in the episodic random utility model.

Authors:  Nicolas A Menzies; Joshua A Salomon
Journal:  Health Econ       Date:  2010-11-18       Impact factor: 3.046

4.  The duration effect: a link between TTO and VAS values.

Authors:  Benjamin M Craig
Journal:  Health Econ       Date:  2009-02       Impact factor: 3.046

5.  How dead is dead? Qualitative findings from participants of combined traditional and lead-time time trade-off valuations.

Authors:  Fatima Al Sayah; Ana Mladenovic; Kathryn Gaebel; Feng Xie; Jeffrey A Johnson
Journal:  Qual Life Res       Date:  2015-07-28       Impact factor: 4.147

6.  The effects of lead time and visual aids in TTO valuation: a study of the EQ-VT framework.

Authors:  Nan Luo; Minghui Li; Elly A Stolk; Nancy J Devlin
Journal:  Eur J Health Econ       Date:  2013-07

7.  Are patients' judgments of health status really different from the general population?

Authors:  Paul Fm Krabbe; Noor Tromp; Theo Jm Ruers; Piet Lcm van Riel
Journal:  Health Qual Life Outcomes       Date:  2011-05-11       Impact factor: 3.186

8.  Testing a discrete choice experiment including duration to value health states for large descriptive systems: addressing design and sampling issues.

Authors:  Nick Bansback; Arne Risa Hole; Brendan Mulhern; Aki Tsuchiya
Journal:  Soc Sci Med       Date:  2014-05-20       Impact factor: 4.634

9.  EuroQol Protocols for Time Trade-Off Valuation of Health Outcomes.

Authors:  Mark Oppe; Kim Rand-Hendriksen; Koonal Shah; Juan M Ramos-Goñi; Nan Luo
Journal:  Pharmacoeconomics       Date:  2016-10       Impact factor: 4.981

10.  The episodic random utility model unifies time trade-off and discrete choice approaches in health state valuation.

Authors:  Benjamin M Craig; Jan Jv Busschbach
Journal:  Popul Health Metr       Date:  2009-01-13
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