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Scoring the Icecap-a capability instrument. Estimation of a UK general population tariff
Terry N Flynn1, Elisabeth Huynh, Tim J Peters
1Centre for the Study of Choice (CenSoC), University of Technology Sydney, Sydney, Australia.
This study valued the Investigating Choice Experiments Capability Measure for Adults (ICECAP-A) using best-worst scaling. Attachment and stability were most valued, informing its use in health and public policy economic evaluations.
Area of Science:
- Health Economics
- Psychometrics
- Social Sciences
Background:
- The Investigating Choice Experiments Capability Measure for Adults (ICECAP-A) is a novel measure for assessing adult capabilities.
- Economic evaluation in health and public policy requires robust capability measures.
Purpose of the Study:
- To determine the relative importance (weights) of the five attributes within the ICECAP-A measure using best-worst scaling (BWS).
- To develop a population tariff for the ICECAP-A measure to facilitate its use in economic evaluations.
Main Methods:
- A best-worst scaling (BWS) study was conducted with 413 UK adults.
- A main effects plan plus foldover design was employed for attribute level weighting.
- Scale-adjusted latent class analysis was used to account for preference and scale heterogeneity.
Main Results:
- A population tariff was estimated, assigning weights to ICECAP-A attributes.
- 'Attachment' and 'stability' accounted for approximately 22% each of the total value.
- 'Autonomy', 'achievement', and 'enjoyment' accounted for approximately 18% each.
- Greater value was placed on improvements at lower capability levels compared to higher levels.
Conclusions:
- The developed population tariff provides a framework for utilizing ICECAP-A in economic evaluations.
- The findings support the application of ICECAP-A across health and broader public policy domains.
- The study demonstrates the utility of BWS for valuing multi-attribute capability measures.
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