Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure

Hawthorne, Graeme and Osborne, Richard 2005, Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure, Australian and New Zealand journal of public health, vol. 29, no. 2, pp. 136-42.

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Title Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure
Author(s) Hawthorne, Graeme
Osborne, Richard
Journal name Australian and New Zealand journal of public health
Volume number 29
Issue number 2
Start page 136
End page 42
Total pages 7
Publisher Wiley - Blackwell
Place of publication Richmond, Vic.
Publication date 2005
ISSN 1326-0200
Summary Objective: The Assessment of Quality of Life (AQoL) instrument is widely used in Australian health research. To assist researchers interpret and report their work, this paper reports population and health status norms, general minimal important differences (MIDs) and effect sizes.

Method: Data from the 1998 South Australian Health Omnibus Survey (n=3,010 population-based respondents) were analysed by gender, age group and health status. Data from four other longitudinal studies were analysed to obtain estimated MIDs.

Results: The mean (SD) AQoL utility score was 0.83 (0.20). Gender and age subgroup differences were apparent; the mean scores for women were consistent until their 50s, when scores declined. Greater variability was observed for males whose scores declined more slowly but consistently between 40–80 years. For both genders, those aged 80+ years had the lowest scores When assessed by health status, those reporting excellent health obtained the highest utility scores; progressive declines were observed with decreasing health status. Effect sizes of 0.13 or greater may reflect important differences between groups A difference in AQoL scores of 0.06 utility points over time suggests a general MID.

Conclusions: AQoL population norms, MIDs and effect sizes can be used as reference points for the interpretation of AQoL data. These findings add to the growing evidence that the AQoL is a robust and sensitive measure that has wide applicability.

Implications: The availability of population norms will assist researchers using the AQoL to more easily interpret and report their work.
Language eng
Field of Research 111799 Public Health and Health Services not elsewhere classified
HERDC Research category C1.1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30025449

Document type: Journal Article
Collection: School of Health and Social Development
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