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Qual Life Res. 2014 Oct;23(8):2395-404. doi: 10.1007/s11136-014-0686-8. Epub 2014 Apr 10.

Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D.

Author information

1
Faculty of Business and Economics, Centre for Health Economics, Monash University, Wellington Road, Clayton, VIC, 3800, Australia, jeffrey.richardson@monash.edu.

Abstract

PURPOSE:

The objective of this paper is to describe the four-stage methodology used to obtain utility scores for the Assessment of Quality of Life (AQoL)-8D, a 35-item 8 dimension multi-attribute utility instrument, which was created to achieve a high degree of sensitivity to psycho-social health.

METHODS:

Data for the analyses were obtained from a representative group of 347 members of the Australian public and from 323 mental health patients each of whom provided VAS and time trade-off valuations of multiple health states. Data were used initially to create multiplicative scoring algorithms for each of the instrument's 8 dimensions and for the overall instrument. Each of the algorithms was then subject to a second-stage econometric 'correction'.

RESULTS:

Algorithms were successfully created for each of the AQoL-8D's dimensions, for physical and mental 'super-dimensions' and for the overall AQoL-8D instrument. The final AQoL-8D algorithm has good predictive power with respect to the TTO valuations.

CONCLUSIONS:

The AQoL-8D is a suitable instrument for researchers conducting cost utility analyses generally but, in particular, for the analysis of services affecting psycho-social health.

PMID:
24719017
DOI:
10.1007/s11136-014-0686-8
[Indexed for MEDLINE]

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