Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/51249
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Type: Journal article
Title: Quality of life of Australian chronically-ill adults: Patient and practice characteristics matter
Author: Jayasinghe, U.
Proudfoot, J.
Barton, C.
Amoroso, C.
Holton, C.
Davies, G.
Beilby, J.
Harris, M.
Citation: Health and Quality of Life Outcomes, 2009; 7(1):1-10
Publisher: BioMed Central Ltd.
Issue Date: 2009
ISSN: 1477-7525
1477-7525
Statement of
Responsibility: 
Upali W. Jayasinghe, Judith Proudfoot, Christopher A. Barton, Cheryl Amoroso, Chris Holton, Gawaine Powell Davies, Justin Beilby and Mark F. Harris
Abstract: <h4>Background</h4>To study health-related quality of life (HRQOL) in a large sample of Australian chronically-ill patients and investigate the impact of characteristics of patients and their general practices on their HRQOL and to assess the construct validity of SF-12 in Australia.<h4>Methods</h4>Cross sectional study with 96 general practices and 7606 chronically-ill patients aged 18 years or more using standard SF-12 version 2. Factor analysis was used to confirm the hypothesized component structure of the SF-12 items. SF-12 physical component score (PCS-12) and mental component score (MCS-12) were derived using the standard US algorithm. Multilevel regression analysis (patients at level 1 and practices at level 2) was applied to relate PCS-12 and MCS-12 to patient and practice characteristics.<h4>Results</h4>There were significant associations between lower PCS-12 or MCS-12 score and poorer general health (10.8 (regression coefficient) lower for PCS-12 and 7.3 lower for MCS-12), low socio-economic status (5.1 lower PCS-12 and 2.9 lower MCS-12 for unemployed, 0.8 lower PCS-12 and 1.7 lower MCS-12 for non-owner-occupiers, 1.0 lower PCS-12 for less well-educated) and having two or more chronic conditions (up to 2.7 lower PCS-12 and up to 1.5 lower MCS-12 than those having a single disease). Younger age was associated with lower MCS-12 (2.2 and 6.0 lower than middle age and older age respectively) but higher PCS-12 (4.7 and 7.6 higher than middle age and older age respectively). Satisfaction with quality of care (regression coefficient = 1.2) and patients who were married or cohabiting (regression coefficient = 0.6) was positively associated with MCS-12. Patients born in non-English-speaking countries were more likely to have a lower MCS-12 (1.5 lower) than those born in Australia. Employment had a stronger association with the quality of life of males than that of females. Those attending smaller practices had lower PCS-12 (1.0 lower) and MCS-12 (0.6 lower) than those attending larger practices. At the patient level (level 1) 42% and 21% of the variance respectively for PCS-12 and MCS-12 were explained by the patients and practice characteristics. At the practice level (level 2), 73% and 49% of the variance respectively for PCS-12 and MCS-12 were explained by patients and practice characteristics.<h4>Conclusion</h4>The strong association between patient characteristics such as socio-economic status, age, and ethnicity and SF-12 physical and mental component summary scores underlines the importance of considering these factors in the management of chronically-ill patients in general practice. The SF-12 appears to be a valid measure for assessing HRQOL of Australian chronically-ill patients.
Keywords: Humans; Chronic Disease; Health Status Indicators; Factor Analysis, Statistical; Regression Analysis; Cross-Sectional Studies; Reproducibility of Results; Psychometrics; Family Practice; Quality of Life; Socioeconomic Factors; Adult; Australia; Female; Male; Surveys and Questionnaires
RMID: 0020091371
DOI: 10.1186/1477-7525-7-50
Grant ID: http://purl.org/au-research/grants/nhmrc/510135
Appears in Collections:General Practice publications

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