The Audit of Diabetes-Dependent Quality of Life 19 (ADDQoL): Feasibility, reliability and validity in a population-based sample of Australian adults

Ostini, Remo, Dower, Jo and Donald, Maria (2012) The Audit of Diabetes-Dependent Quality of Life 19 (ADDQoL): Feasibility, reliability and validity in a population-based sample of Australian adults. Quality of Life Research, 21 8: 1471-1477.

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Author Ostini, Remo
Dower, Jo
Donald, Maria
Title The Audit of Diabetes-Dependent Quality of Life 19 (ADDQoL): Feasibility, reliability and validity in a population-based sample of Australian adults
Journal name Quality of Life Research  (ERA 2012 Listed)    (ERA 2010 Rank A)   Check publisher's open access policy
Publication date 2012-10
Sub-type Article
Year available 2011
DOI 10.1007/s11136-011-0043-0
Volume number 21
Issue number 8
ISSN 0962-9343
1573-2649
Start page 1471
End page 1477
Total pages 7
Place of publication Dordrecht, Netherlands
Publisher Springer
Collection year 2012
Language eng
Formatted abstract Purpose: This study aims to analyse the psychometric properties of the most recent 19 item version of the Audit of Diabetes-Dependent Quality of Life (ADDQoL) in a large, population-based sample of adults living in Australia.

Methods: A total of 3,951 people living with diabetes completed the ADDQoL as part of the Living With Diabetes Study. Data analysis investigated the feasibility of using the ADDQoL in a large, population-based survey; internal consistency; adherence to a single-factor structure; and convergent/discriminant validity.

Results: Data support the feasibility of using the ADDQoL in population-based survey research. Although a strict single-factor structure for the ADDQoL was not demonstrated, the results overall support an interpretation of essential unidimensionality. A validation matrix provides support for the convergent and divergent validity of the measure, as does the ADDQoL’s ability to discriminate between respondents based on insulin dependence and complications.

Conclusions: The ADDQoL has good psychometric properties and provides clinicians and researchers with a useful tool for comprehensively assessing quality of life in adults with diabetes.
Keyword Quality of life
Diabetes
Psychometric methods
Measurement
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online: 20 October 2011.

 
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Created: Fri, 23 Mar 2012, 10:04:39 EST by Geraldine Fitzgerald on behalf of Healthy Communities Research Centre