Scoring the ICECAP - a capability instrument : estimation of a UK general population tariff

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Scoring the ICECAP - a capability instrument : estimation of a UK general population tariff. / Flynn, Terry N; Huynh, D; Peters, TJ; Al-Janabi, Hareth; Clemens, Sam; Moody, Alison; Coast, Joanna.

In: Health Economics, 11.2013.

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@article{e8d3992aadbe43fa8bee3c547b76f874,
title = "Scoring the ICECAP - a capability instrument : estimation of a UK general population tariff",
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 {\textquoteleft}attachment{\textquoteright} and {\textquoteleft}stability{\textquoteright} each account for around 22% of the space, and {\textquoteleft}autonomy{\textquoteright}, {\textquoteleft}achievement{\textquoteright} and {\textquoteleft}enjoyment{\textquoteright} 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. {\textcopyright} 2013 The Authors. Health Economics published by John Wiley & Sons Ltd.",
keywords = "discrete choice experiments, best–worst scaling, capability approach, well-being, economic evaluation, variance heterogeneity",
author = "Flynn, {Terry N} and D Huynh and TJ Peters and Hareth Al-Janabi and Sam Clemens and Alison Moody and Joanna Coast",
year = "2013",
month = nov
doi = "10.1002/hec.3014",
language = "English",
journal = "Health Economics",
issn = "1057-9230",
publisher = "Wiley",

}

RIS

TY - JOUR

T1 - Scoring the ICECAP - a capability instrument : estimation of a UK general population tariff

AU - Flynn, Terry N

AU - Huynh, D

AU - Peters, TJ

AU - Al-Janabi, Hareth

AU - Clemens, Sam

AU - Moody, Alison

AU - Coast, Joanna

PY - 2013/11

Y1 - 2013/11

N2 - 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. © 2013 The Authors. Health Economics published by John Wiley & Sons Ltd.

AB - 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. © 2013 The Authors. Health Economics published by John Wiley & Sons Ltd.

KW - discrete choice experiments

KW - best–worst scaling

KW - capability approach

KW - well-being

KW - economic evaluation

KW - variance heterogeneity

U2 - 10.1002/hec.3014

DO - 10.1002/hec.3014

M3 - Abstract

C2 - 24254584

JO - Health Economics

JF - Health Economics

SN - 1057-9230

ER -