Literature DB >> 14981652

A multi-method approach to measuring health-state valuations.

Joshua A Salomon1, Christopher J L Murray.   

Abstract

Existing techniques for eliciting health-state valuations incorporate both strength of preferences for health states and other values such as risk aversion or time preference. This paper presents a new methodological approach that allows estimation of a set of core underlying health-state values based on responses elicited through multiple measurement techniques. A study was undertaken in which respondents completed the visual analogue (VAS) scale, time trade-off (TTO), standard gamble (SG) and person trade-off (PTO) for a range of states. By specifying flexible parametric functions to explain responses on each measurement technique, we estimated both the underlying strength of preference values for the health states in the study and the values for a set of auxiliary parameters characterising risk attitudes, discount rates, distributional concerns and scale distortion effects in the group of respondents. This study demonstrates that it is possible to understand responses on these four different measurement techniques based on a consistent set of core values. The approach presented here can provide insights into different sources of observed variation in VAS, TTO, SG and PTO responses and facilitate appropriate adjustment of valuations elicited through different methods for use in summary health measures and economic analyses. Copyright 2003 John Wiley & Sons, Ltd.

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Year:  2004        PMID: 14981652     DOI: 10.1002/hec.834

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


  23 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.  Value based medicine.

Authors:  S M Kymes; K D Frick
Journal:  Br J Ophthalmol       Date:  2005-05       Impact factor: 4.638

3.  Testing the interval-level measurement property of multi-item visual analogue scales.

Authors:  Paul F M Krabbe; Peep F M Stalmeier; Leida M Lamers; Jan J V Busschbach
Journal:  Qual Life Res       Date:  2006-09-20       Impact factor: 4.147

4.  Quality-adjusted life years lost to road crash injury: updating the injury impairment index.

Authors:  Rebecca S Spicer; Ted R Miller; Delia Hendrie; Lawrence J Blincoe
Journal:  Ann Adv Automot Med       Date:  2011

5.  Including information about co-morbidity in estimates of disease burden: results from the World Health Organization World Mental Health Surveys.

Authors:  J Alonso; G Vilagut; S Chatterji; S Heeringa; M Schoenbaum; T Bedirhan Üstün; S Rojas-Farreras; M Angermeyer; E Bromet; R Bruffaerts; G de Girolamo; O Gureje; J M Haro; A N Karam; V Kovess; D Levinson; Z Liu; M E Medina-Mora; J Ormel; J Posada-Villa; H Uda; R C Kessler
Journal:  Psychol Med       Date:  2010-06-16       Impact factor: 7.723

6.  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

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

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

8.  When are person tradeoffs valid?

Authors:  Jason N Doctor; John Miyamoto; Han Bleichrodt
Journal:  J Health Econ       Date:  2009-06-25       Impact factor: 3.883

9.  Estimating the burden of disease for autism spectrum disorders in Spain in 2003.

Authors:  Elena Sánchez-Valle; Manuel Posada; Ana Villaverde-Hueso; Eva Touriño; María José Ferrari-Arroyo; Leticia Boada; María Concepción Martín-Arribas; Ricardo Canal; Joaquín Fuentes-Biggi
Journal:  J Autism Dev Disord       Date:  2007-06-02

10.  Using discounting biases, risk characteristics, and perceived control improves preventive programs.

Authors:  Monica Ortendahl
Journal:  Int J Biomed Sci       Date:  2007-06
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