Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument

Richardson, Jeffrey R. J., Peacock, Stuart J., Hawthorne, Graeme, Iezzi, Angelo, Elsworth, Gerald and Day, Neil A. 2012, Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument, Health and quality of life outcomes, vol. 10, no. 38, pp. 1-9.

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Title Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument
Author(s) Richardson, Jeffrey R. J.
Peacock, Stuart J.
Hawthorne, Graeme
Iezzi, Angelo
Elsworth, Gerald
Day, Neil A.
Journal name Health and quality of life outcomes
Volume number 10
Issue number 38
Start page 1
End page 9
Total pages 9
Publisher BioMed Central
Place of publication London, England
Publication date 2012-04-17
ISSN 1477-7525
Keyword(s) quality of life
MAU instrument
HRQoL
economic evaluation
Summary Background
Multi attribute utility (MAU) instruments are used to include the health related quality of life (HRQoL) in economic evaluations of health programs. Comparative studies suggest different MAU instruments measure related but different constructs. The objective of this paper is to describe the methods employed to achieve content validity in the descriptive system of the Assessment of Quality of Life (AQoL)-6D, MAU instrument.

Methods
The AQoL program introduced the use of psychometric methods in the construction of health related MAU instruments. To develop the AQoL-6D we selected 112 items from previous research, focus groups and expert judgment and administered them to 316 members of the public and 302 hospital patients. The search for content validity across a broad spectrum of health states required both formative and reflective modelling. We employed Exploratory Factor Analysis and Structural Equation Modelling (SEM) to meet these dual requirements.

Results and Discussion
The resulting instrument employs 20 items in a multi-tier descriptive system. Latent dimension variables achieve sensitive descriptions of 6 dimensions which, in turn, combine to form a single latent QoL variable. Diagnostic statistics from the SEM analysis are exceptionally good and confirm the hypothesised structure of the model.

Conclusions
The AQoL-6D descriptive system has good psychometric properties. They imply that the instrument has achieved construct validity and provides a sensitive description of HRQoL. This means that it may be used with confidence for measuring health related quality of life and that it is a suitable basis for modelling utilities for inclusion in the economic evaluation of health programs.
Language eng
Field of Research 111717 Primary Health Care
Socio Economic Objective 920205 Health Education and Promotion
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2012, Richardson et al.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051081

Document type: Journal Article
Collection: Population Health
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