Australian health‐related quality of life population norms derived from the SF‐6D

To investigate population health‐related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. 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 7,2...

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Published inAustralian and New Zealand journal of public health Vol. 37; no. 1; pp. 17 - 23
Main Authors Norman, Richard, Church, Jody, van den Berg, Bernard, Goodall, Stephen
Format Journal Article
LanguageEnglish
Published Oxford, UK Elsevier B.V 01.02.2013
Blackwell Publishing Ltd
Elsevier Limited
Elsevier
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Abstract To investigate population health‐related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. 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. 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. 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.
AbstractList To investigate population health‐related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. 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. 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. 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.
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.
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.
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.
OBJECTIVETo investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status.METHODThe 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.RESULTSSF-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.CONCLUSIONSThis 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.
Author Norman, Richard
Church, Jody
Goodall, Stephen
van den Berg, Bernard
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  surname: Norman
  fullname: Norman, Richard
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  organization: Centre for Health Economics Research and Evaluation (CHERE), University of Technology, Sydney, New South Wales
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  givenname: Jody
  surname: Church
  fullname: Church, Jody
  organization: Centre for Health Economics Research and Evaluation (CHERE), University of Technology, Sydney, New South Wales
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  surname: van den Berg
  fullname: van den Berg, Bernard
  organization: Centre for Health Economics, University of York, United Kingdom
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  givenname: Stephen
  surname: Goodall
  fullname: Goodall, Stephen
  organization: Centre for Health Economics Research and Evaluation (CHERE), University of Technology, Sydney, New South Wales
BackLink https://www.ncbi.nlm.nih.gov/pubmed/23379801$$D View this record in MEDLINE/PubMed
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Keywords SF‐6D
Australia
socioeconomic status
Population norms
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2009; 62
2010; 13
2010
2009
2006; 7
1993
2008; 11
2011; 14
2005; 29
2009; 27
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1999
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Brazier (10.1111/1753-6405.12005_b6) 2002; 21
Fryback (10.1111/1753-6405.12005_b15) 2007; 45
Viney (10.1111/1753-6405.12005_b27) 2011; 14
Gonçalves Campolina (10.1111/1753-6405.12005_b11) 2009; 27
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Aggarwal (10.1111/1753-6405.12005_b13) 2009; 36
Spencer (10.1111/1753-6405.12005_b24) 2003; 12
Kharroubi (10.1111/1753-6405.12005_b8) 2007; 26
Feeny (10.1111/1753-6405.12005_b16) 2012; 32
Hawthorne (10.1111/1753-6405.12005_b22) 2000
Norman (10.1111/1753-6405.12005_b26) 2009; 12
van den Berg (10.1111/1753-6405.12005_b2) 2012; 21
Wooden (10.1111/1753-6405.12005_b18) 2007; 83
Lam (10.1111/1753-6405.12005_b12) 2008; 11
Broome (10.1111/1753-6405.12005_b23) 1993; 50
(10.1111/1753-6405.12005_b19) 2001
Stolk (10.1111/1753-6405.12005_b3) 2009
Dolan (10.1111/1753-6405.12005_b25) 1997; 35
Cole (10.1111/1753-6405.12005_b20) 2000; 320
Hawthorne (10.1111/1753-6405.12005_b17) 2005; 29
Zhao (10.1111/1753-6405.12005_b14) 2010; 13
Kind (10.1111/1753-6405.12005_b21) 1999
Gundgaard (10.1111/1753-6405.12005_b5) 2006; 7
Ferreira (10.1111/1753-6405.12005_b10) 2008; 11
Brazier (10.1111/1753-6405.12005_b9) 2009; 62
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Snippet To investigate population health‐related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. The...
Objective : To investigate population health‐related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic...
To investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic status. The...
Objective: To investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic...
OBJECTIVETo investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic...
Objective : To investigate population health-related quality of life norms in an Australian general sample by age, gender, BMI, education and socioeconomic...
Abstract Objective : To investigate population health‐related quality of life norms in an Australian general sample by age, gender, BMI, education and...
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SubjectTerms Adult
Age Distribution
Aged
Australia
Body Mass Index
Cost analysis
Education
Family Characteristics
Female
Gender
Health care expenditures
Health Status Indicators
Health Surveys
Households
Humans
Male
Middle Aged
Norms
Population
Population norms
Population studies
Population Surveillance - methods
Psychometrics - instrumentation
Quality of Life
Sex Distribution
SF-6D
Socioeconomic Factors
Socioeconomic status
Socioeconomics
Subgroups
Surveys and Questionnaires - standards
Young Adult
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Title Australian health‐related quality of life population norms derived from the SF‐6D
URI https://dx.doi.org/10.1111/1753-6405.12005
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Volume 37
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