Valuing states from multiple measures on the same visual analogue sale: a feasibility study

SUMMARY Previous methods of empirical mapping involve using regressions on patient or general population self‐reported data from datasets involving two or more measures. This approach relies on overlap in the descriptive systems of the measures and assumes it is appropriate to use different measures...

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Bibliographic Details
Published in:Health economics 2012-06, Vol.21 (6), p.715-729
Main Authors: Rowen, Donna, Brazier, John, Tsuchiya, Aki, Alava, Mónica Hernández
Format: Article
Language:English
Subjects:
Adult
Aged
Aging - psychology
Asthma - economics
Asthma - psychology
Capabilities
Child protection
Choice Behavior
Cost-Benefit Analysis
Feasibility
Feasibility Studies
Female
Health
Health economics
Humans
Male
Mapping
Measurement techniques
Middle Aged
Patient Preference
Population
preference-based measures of health
Preferences
Quality of Life
Quality-Adjusted Life Years
Regression analysis
Research Design
Social Work
Studies
Surveys and Questionnaires
United Kingdom
value-based mapping
visual analogue scale
Visual analogue scales
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Summary:SUMMARY Previous methods of empirical mapping involve using regressions on patient or general population self‐reported data from datasets involving two or more measures. This approach relies on overlap in the descriptive systems of the measures and assumes it is appropriate to use different measures on the same population, which may not always be the case. This paper presents a feasibility study for a new approach to mapping between preference‐based measures (PBM) using general population visual analogue scale (VAS) values as a common yardstick. We use data from a valuation study of 502 members of the UK general population, where, using ranking and VAS tasks, interviewees simultaneously valued health states defined by three of six PBM: EQ‐5D (generic), SF‐6D (generic), HUI2 (generic for children and adults), AQL‐5D (asthma specific), OPUS (social care specific) and ICECAP (capabilities). Regression techniques are used to estimate the relationship between these VAS values and the original value set (i.e. ‘tariff’). These results are subsequently used to estimate the relationship between all six PBM to enable ‘value‐based mapping’ between measures. This new method of mapping potentially has a useful role in evidence synthesis and cross programme comparisons in studies using different measures. Copyright © 2011 John Wiley & Sons, Ltd.
ISSN:1057-9230
1099-1050
DOI:10.1002/hec.1740