Literature DB >> 8643985

Inconsistency and health state valuations.

P Dolan1, P Kind.   

Abstract

The comparison of scaling methods used to value health states sometimes rests upon an analysis of aggregate scores. This analysis is usually undertaken once 'inconsistent' respondents have been excluded from the data. However, it is important to be able to judge the extent to which respondents as a whole are logically consistent when assigning values to health states. The degree of inconsistency will depend on how the health states are described, how the questionnaire is administered and who the respondents are. This paper analyses the inconsistency rates from two studies in which valuations for EuroQol health states were elicited using the visual analogue scale (VAS) method. The studies differed in design and incorporated several different variants of the standard EuroQol questionnaire, thus providing an opportunity to examine the relative importance of the different factors that were thought to affect inconsistency rates. Our general conclusions are that inconsistency rates are higher for interviewer-based than for postal surveys, possibly due to response bias, and that inconsistency rates are positively related to age and negatively related to educational attainment.

Mesh:

Year:  1996        PMID: 8643985     DOI: 10.1016/0277-9536(95)00161-1

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  18 in total

1.  Feasibility, validity and test-retest reliability of scaling methods for health states: the visual analogue scale and the time trade-off.

Authors:  X Badia; S Monserrat; M Roset; M Herdman
Journal:  Qual Life Res       Date:  1999-06       Impact factor: 4.147

2.  Valuation of EuroQOL (EQ-5D) health states in an adult US sample.

Authors:  J A Johnson; S J Coons; A Ergo; G Szava-Kovats
Journal:  Pharmacoeconomics       Date:  1998-04       Impact factor: 4.981

3.  The influence of ill-health experience on the valuation of health.

Authors:  X Badia; M Herdman; P Kind
Journal:  Pharmacoeconomics       Date:  1998-06       Impact factor: 4.981

4.  The validity and reliability of EQ-5D health state valuations in a survey of Măori.

Authors:  M R V Perkins; N J Devlin; P Hansen
Journal:  Qual Life Res       Date:  2004-02       Impact factor: 4.147

5.  Understanding health state valuations: a qualitative analysis of respondents' comments.

Authors:  Nancy J Devlin; Paul Hansen; Caroline Selai
Journal:  Qual Life Res       Date:  2004-09       Impact factor: 4.147

6.  Qualification of discordant responses in utility assessment.

Authors:  D Steward; M Davis
Journal:  Proc AMIA Symp       Date:  1998

7.  Does Device or Connection Type Affect Health Preferences in Online Surveys?

Authors:  John D Hartman; Benjamin M Craig
Journal:  Patient       Date:  2019-12       Impact factor: 3.883

8.  Preferences for type 2 diabetes health states among adolescents with or at risk of type 2 diabetes mellitus.

Authors:  Erinn T Rhodes; Lisa A Prosser; Tracy A Lieu; Thomas J Songer; David S Ludwig; Lori M Laffel
Journal:  Pediatr Diabetes       Date:  2011-04-13       Impact factor: 4.866

9.  Consequences of hip fracture on activities of daily life and residential needs.

Authors:  E K Osnes; C M Lofthus; H E Meyer; J A Falch; L Nordsletten; I Cappelen; I S Kristiansen
Journal:  Osteoporos Int       Date:  2004-07       Impact factor: 4.507

10.  Are symbols useful and culturally acceptable in health-state valuation studies? An exploratory study in a multi-ethnic Asian population.

Authors:  Wee Hwee-Lin; Shu-Chuen Li; Xu-Hao Zhang; Feng Xie; David Feeny; Nan Luo; Yin-Bun Cheung; David Machin; Kok-Yong Fong; Julian Thumboo
Journal:  Patient Prefer Adherence       Date:  2008-02-02       Impact factor: 2.711

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