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

Hawthorne, Graeme; Osborne, Richard

doi:10.1111/j.1467-842x.2005.tb00063.x

Cited by 294Health Systems, Economic Evaluations, Quality of LifePsychometric Methodologies and TestingHealth Education and Validation

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

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Hawthorne, Graeme, Osborne, Richard·2005·Australian and New Zealand Journal of Public Health

DOI 10.1111/j.1467-842x.2005.tb00063.x

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Abstract

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.

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Health-related quality of life was assessed via participants' completion of the Assessment of Quality of Life (AQoL)-8D scale, a 35-item multi-attribute utility instrument covering 8 dimensions.
“HRQoL was assessed via participants’ completion of the Assessment of Quality of Life (AQoL)-8D scale, which is a 35-item multi-attribute utility instrument covering 8 dimensions focused on independent living, happiness, mental health, coping, relationships, self-worth, pain, and senses [26,27].”
From My Diabetes Coach, a Mobile App–Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial (2020) · cites this paper as [27]
Previous literature indicates that even a small effect size for HRQoL may bring substantial well-being benefit in the long term.
“previous literature indicates that even a small effect size for HRQoL may bring substantial well-being benefit in the long term [8,27,38].”
From My Diabetes Coach, a Mobile App–Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial (2020) · cites this paper as [27]

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Authors: Hawthorne, G., & Osborne, R.
Affiliations: The University of Melbourne (AU)
The Royal Melbourne Hospital (AU)
Corresponding author: Hawthorne, Graeme
ORCID: Osborne, Richard
Venue: Australian and New Zealand Journal of Public Health
Publisher: Elsevier BV
Published: 2005-04
Volume: 29
Issue: 2
Pages: 136-142
ISSN: 1326-0200 (ISSN-L)
DOI: 10.1111/j.1467-842x.2005.tb00063.x
OpenAlex: W2092659488
Cited by: 294
References: 42
Citations by year: 2026: 4 · 2025: 9 · 2024: 15 · 2023: 14 · 2022: 16 · 2021: 14 · 2020: 14 · 2019: 14 · 2018: 17 · 2017: 12 · 2016: 12 · 2015: 11 · 2014: 21 · 2013: 22 · 2012: 18
FWCI: 23.63
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
www.elsevier.com/open-access/userlicense/1.0/ (vor, 3927 d)
Locations: Australian and New Zealand Journal of Public Health (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Social Sciences › Education › Health Education and Validation
Keywords: AQoL, population norms, minimal important difference, effect size, health status, utility scores, gender differences, age differences, health-related quality of life, reference values
MeSH terms: Activities of Daily Living, Adolescent, Adult, Aged, Aged, 80 and over, Data Interpretation, Statistical, Female, Health Status Indicators, Humans, Male, Middle Aged, Quality of Life, Surveys and Questionnaires, South Australia, Age Distribution, Sex Distribution, Quality-Adjusted Life Years

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

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