ArticleBMC health services research2007
Individual differences in the use of the response scale determine valuations of hypothetical health states: an empirical study.
Article in BMC health services research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preferences for health-related quality of life: do they vary by age? A systematic literature review on the EQ-5D measure.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Pooled it
- Correspondence between EQ-5D health state classifications and EQ VAS scores.Health and quality of life outcomes · 2008Trial
- A note on the relationship between age and health-related quality of life assessment.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019Article
- Health-related quality of life and well-being health state values among Dutch oldest old.Patient preference and adherence · 2019Article
- What should we know about the person behind a TTO?The European journal of health economics : HEPAC : health economics in prevention and care · 2018Article
- Time trade-off: one methodology, different methods.The European journal of health economics : HEPAC : health economics in prevention and care · 2013Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe effects of socio-demographic characteristics of the respondent, including age, on valuation scores of hypothetical health states remain inconclusive. Therefore, we analyzed data from a study designed to discriminate between the effects of respondents' age and time preference on valuations of health states to gain insight in the contribution of individual response patterns to the variance in valuation scores.
methodsA total of 212 respondents from three age groups valued the same six hypothetical health states using three different methods: a Visual Analogue Scale (VAS) and two variants of the Time trade-off (TTO). Analyses included a generalizability study, principal components analysis, and cluster analysis.
resultsValuation scores differed significantly, but not systematically, between valuation methods. A total of 36.8% of variance was explained by health states, 1.6% by the elicitation method, and 0.2% by age group. Individual differences in the use of the response scales (e.g. a tendency to give either high or low TTO scores, or a high or low scoring tendency on the VAS) were the main source of remaining variance. These response patterns were not related to age or other identifiable respondent characteristics.
conclusionIndividual response patterns in this study were more important determinants of TTO or VAS valuations of health states than age or other respondent characteristics measured. Further valuation research should focus on explaining individual response patterns as a possible key to understanding the determinants of health state valuations.
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