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The Assessment of Quality of Life (AQoL) II Instrument: Overview and creation of the utility scoring algorithm

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  • Jeff Richardson

    ()
    (Centre for Health Economics, Monash University)

  • Stuart Peacock

    (British Columbia Cancer Agency, Vancouver, British Columbia, Canada)

  • Angelo Iezzi

    ()
    (Centre for Health Economics, Monash University)

  • Neil Day

    (Centre for Program Evaluation, University of Melbourne)

  • Graeme Hawthorne

    (Department of Psychiatry, University of Melbourne)

Abstract

MAU instruments seek to measure the ‘utility’ of health states in a way suitable for use in economic evaluation studies and, in particular, cost utility analysis (CUA). The Assessment of Quality of Life, Mark 2 (AQoL 2) project was undertaken specifically to increase the sensitivity of measurement in the region of full health, where most other instruments, including the earlier AQoL 1 instrument are relatively insensitive. In sum, the AQoL 2 instrument estimates utility using a three stage procedure. Items are (i) weighted and combined using a multiplicative model to obtain dimension scores; (ii) these are similarly weighted and combined to obtain an initial AQoL score; (iii) this is then transformed econometrically to produce the final estimate of a health state utility. As with AQoL 1 the research program also sought to experiment with new methods for achieving this. AQoL 1 was the first instrument to use a multi level descriptive system with five dimensions of health separately modelled and then combined. After experimentation it incorporated a new way of modelling the utility of health states worse than death. AQoL 2 adopted this same multi level structure It was developed in 2 stages. The first used a series of confirmatory factor analysis using Lisrel, to construct dimension models. The second was a confirmatory factor (SEM) analysis of the overall AQoL which combined all of the dimensions. Utility scores were modelled in three stages. Time trade-off (TTO) importance weights were first combined into dimensions and to the dimensions into a single score using multiplicative (non stochastic) models (as with AQoL 1). However these were subsequently adjusted in a third stage econometric ‘correction’ based upon independently collected multi attribute – TTO – scores.

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Bibliographic Info

Paper provided by Monash University, Centre for Health Economics in its series Centre for Health Economics Research Papers with number 17/07.

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Length: 43 pages
Date of creation: May 2007
Date of revision:
Handle: RePEc:mhe:cherps:2007-17

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Postal: Centre for Health Economics, Monash University, Building 75, Clayton, Victoria 3800, Australia
Phone: +61-3-9905-0733
Fax: +61-3-9905-8344
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Web page: http://www.buseco.monash.edu.au/centres/che/
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