Scoring the ICECAP-A capability instrument. Estimation of a UK general population tariff

Terry N. Flynn, Elisabeth Huynh, Tim J. Peters, Hareth Al-Janabi, Sam Clemens, Alison Moody, Joanna Coast*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

89 Citations (Scopus)
378 Downloads (Pure)

Abstract

This paper reports the results of a best-worst scaling (BWS) study to value the Investigating Choice Experiments Capability Measure for Adults (ICECAP-A), a new capability measure among adults, in a UK setting. A main effects plan plus its foldover was used to estimate weights for each of the four levels of all five attributes. The BWS study was administered to 413 randomly sampled individuals, together with sociodemographic and other questions. Scale-adjusted latent class analyses identified two preference and two (variance) scale classes. Ability to characterize preference and scale heterogeneity was limited, but data quality was good, and the final model exhibited a high pseudo-r-squared. After adjusting for heterogeneity, a population tariff was estimated. This showed that 'attachment' and 'stability' each account for around 22% of the space, and 'autonomy', 'achievement' and 'enjoyment' account for around 18% each. Across all attributes, greater value was placed on the difference between the lowest levels of capability than between the highest. This tariff will enable ICECAP-A to be used in economic evaluation both within the field of health and across public policy generally.

Original languageEnglish
Pages (from-to)258-269
Number of pages12
JournalHealth Economics
Volume24
Issue number3
DOIs
Publication statusPublished - 20 Nov 2015

Structured keywords

  • ConDuCT-II

Keywords

  • Best-worst scaling
  • Capability approach
  • Discrete choice experiments
  • Economic evaluation
  • Variance heterogeneity
  • Well-being

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