Australian health-related quality of life population norms derived from the SF-6D
- Publisher:
- Blackwell Publishing
- Publication Type:
- Journal Article
- Citation:
- Australian & New Zealand Journal of Public Health, 2013, 37 (1), pp. 17 - 23
- Issue Date:
- 2013-01
Closed Access
Full metadata record
Field | Value | Language |
---|---|---|
dc.contributor.author | Norman, R | en_US |
dc.contributor.author | Church, J | en_US |
dc.contributor.author | Van den Berg, B | en_US |
dc.contributor.author | Goodall, S | en_US |
dc.date.issued | 2013-01 | en_US |
dc.identifier.citation | Australian & New Zealand Journal of Public Health, 2013, 37 (1), pp. 17 - 23 | en_US |
dc.identifier.issn | 1326-0200 | en_US |
dc.identifier.uri | http://hdl.handle.net/10453/23451 | |
dc.description.abstract | Objective: To investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. Method: The SF-36 was included in the 2009/10 wave of the Household, Income and Labour Dynamics in Australia (HILDA) survey (n=17,630 individuals across 7,234 households), and converted into SF-6D utility scores. Trends across the various population subgroups were investigated employing population weights to ensure a balanced panel, and were all sub-stratified by gender. Results: SF-6D scores decline with age beyond 40 years, with decreasing education and by higher levels of socioeconomic disadvantage. Scores were also lower at very low and very high BMI levels. Males reported higher SF-6D scores than females across most analyses. Conclusions: This study reports Australian population utility data measured using the SF-6D, based on a national representative sample. These results can be used in a range of policy settings such as cost-utility analysis or exploration of health-related inequality. In general, the patterns are similar to those reported using other multi-attribute utility instruments and in different countries. | en_US |
dc.publisher | Blackwell Publishing | en_US |
dc.relation.ispartof | Australian & New Zealand Journal of Public Health | en_US |
dc.relation.isbasedon | 10.1111/1753-6405.12005 | en_US |
dc.subject.classification | Public Health | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Body Mass Index | en_US |
dc.subject.mesh | Health Surveys | en_US |
dc.subject.mesh | Health Status Indicators | en_US |
dc.subject.mesh | Population Surveillance | en_US |
dc.subject.mesh | Questionnaires | en_US |
dc.subject.mesh | Family Characteristics | en_US |
dc.subject.mesh | Psychometrics | en_US |
dc.subject.mesh | Age Distribution | en_US |
dc.subject.mesh | Sex Distribution | en_US |
dc.subject.mesh | Quality of Life | en_US |
dc.subject.mesh | Socioeconomic Factors | en_US |
dc.subject.mesh | Adult | en_US |
dc.subject.mesh | Aged | en_US |
dc.subject.mesh | Middle Aged | en_US |
dc.subject.mesh | Australia | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Male | en_US |
dc.subject.mesh | Young Adult | en_US |
dc.subject.mesh | Adult | en_US |
dc.subject.mesh | Age Distribution | en_US |
dc.subject.mesh | Aged | en_US |
dc.subject.mesh | Australia | en_US |
dc.subject.mesh | Body Mass Index | en_US |
dc.subject.mesh | Family Characteristics | en_US |
dc.subject.mesh | Female | en_US |
dc.subject.mesh | Health Status Indicators | en_US |
dc.subject.mesh | Health Surveys | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Male | en_US |
dc.subject.mesh | Middle Aged | en_US |
dc.subject.mesh | Population Surveillance | en_US |
dc.subject.mesh | Psychometrics | en_US |
dc.subject.mesh | Quality of Life | en_US |
dc.subject.mesh | Sex Distribution | en_US |
dc.subject.mesh | Socioeconomic Factors | en_US |
dc.subject.mesh | Surveys and Questionnaires | en_US |
dc.subject.mesh | Young Adult | en_US |
dc.title | Australian health-related quality of life population norms derived from the SF-6D | en_US |
dc.type | Journal Article | |
utslib.citation.volume | 1 | en_US |
utslib.citation.volume | 37 | en_US |
utslib.for | 1117 Public Health and Health Services | en_US |
utslib.for | 1402 Applied Economics | en_US |
utslib.for | 1117 Public Health And Health Services | en_US |
utslib.for | 1402 Applied Economics | en_US |
utslib.for | 1605 Policy And Administration | en_US |
pubs.embargo.period | Not known | en_US |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Business | |
pubs.organisational-group | /University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation | |
utslib.copyright.status | closed_access | |
pubs.consider-herdc | true | en_US |
pubs.issue | 1 | en_US |
pubs.notes | Peer reviewed per Ulrichs,OK-SB | en_US |
pubs.volume | 37 | en_US |
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Filename | Description | Size | |||
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![]() | 2011006528OK.pdf | 434.69 kB | Adobe PDF |
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Abstract:
Objective: To investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. Method: The SF-36 was included in the 2009/10 wave of the Household, Income and Labour Dynamics in Australia (HILDA) survey (n=17,630 individuals across 7,234 households), and converted into SF-6D utility scores. Trends across the various population subgroups were investigated employing population weights to ensure a balanced panel, and were all sub-stratified by gender. Results: SF-6D scores decline with age beyond 40 years, with decreasing education and by higher levels of socioeconomic disadvantage. Scores were also lower at very low and very high BMI levels. Males reported higher SF-6D scores than females across most analyses. Conclusions: This study reports Australian population utility data measured using the SF-6D, based on a national representative sample. These results can be used in a range of policy settings such as cost-utility analysis or exploration of health-related inequality. In general, the patterns are similar to those reported using other multi-attribute utility instruments and in different countries.
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