Skip to main content
Top
Published in: Health and Quality of Life Outcomes 1/2016

Open Access 01-12-2016 | Research

Health-related quality of life measured using the EQ-5D–5L: South Australian population norms

Authors: Nikki McCaffrey, Billingsley Kaambwa, David C. Currow, Julie Ratcliffe

Published in: Health and Quality of Life Outcomes | Issue 1/2016

Login to get access

Abstract

Background

Although a five level version of the widely-used EuroQol 5 dimensions (EQ-5D) instrument has been developed, population norms are not yet available for Australia to inform the future valuation of health in economic evaluations. The aim of this study was to estimate HrQOL normative values for the EQ-5D-5L preference-based measure in a large, randomly selected, community sample in South Australia.

Methods

The EQ-5D-5L instrument was included in the 2013 South Australian Health Omnibus Survey, an interviewer-administered, face-to-face, cross-sectional survey. Respondents rated their level of impairment across dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) and global health rating on a visual analogue scale (EQ-VAS). Utility scores were derived using the newly-developed UK general population-based algorithm and relationships between utility and EQ-VAS scores and socio-demographic factors were also explored using multivariate regression analyses.

Results

Ultimately, 2,908 adults participated in the survey (63.4 % participation rate). The mean utility and EQ-VAS scores were 0.91 (95 CI 0.90, 0.91) and 78.55 (95 % CI 77.95, 79.15), respectively. Almost half of respondents reported no problems across all dimensions (42.8 %), whereas only 7.2 % rated their health >90 on the EQ-VAS (100 = the best health you can imagine). Younger age, male gender, longer duration of education, higher annual household income, employment and marriage/de facto relationships were all independent, statistically significant predictors of better health status (p < 0.01) measured with the EQ-VAS. Only age and employment status were associated with higher utility scores, indicating fundamental differences between these measures of health status.

Conclusions

This is the first Australian study to apply the EQ-5D-5L in a large, community sample. Overall, findings are consistent with EQ-5D-5L utility and VAS scores reported for other countries and indicate that the majority of South Australian adults report themselves in full health. When valuing health in Australian economic evaluations, the utility population norms can be used to estimate HrQOL. More generally, the EQ-VAS score may be a better measure of population health given the smaller ceiling effect and broader coverage of HrQOL dimensions. Further research is recommended to update EQ-5D-5L population norms using the Australian general population specific scoring algorithm once this becomes publically available.
Literature
1.
go back to reference Hjelmgren J, Berggren F, Andersson F. Health economic guidelines--similarities, differences and some implications. Value Health. 2001;4:225–50.CrossRefPubMed Hjelmgren J, Berggren F, Andersson F. Health economic guidelines--similarities, differences and some implications. Value Health. 2001;4:225–50.CrossRefPubMed
2.
go back to reference Sullivan SM, Wells G, Coyle D. What guidance are economists given on How to present economic evaluations for policymakers? A systematic review. Value Health. 2015;18:915–24.CrossRefPubMed Sullivan SM, Wells G, Coyle D. What guidance are economists given on How to present economic evaluations for policymakers? A systematic review. Value Health. 2015;18:915–24.CrossRefPubMed
3.
go back to reference Merlo G, Page K, Ratcliffe J, Halton K, Graves N. Bridging the Gap: exploring the barriers to using economic evidence in healthcare decision making and strategies for improving uptake. Applied Health Economics and Health Policy. 2015;13:303–9.CrossRefPubMed Merlo G, Page K, Ratcliffe J, Halton K, Graves N. Bridging the Gap: exploring the barriers to using economic evidence in healthcare decision making and strategies for improving uptake. Applied Health Economics and Health Policy. 2015;13:303–9.CrossRefPubMed
4.
go back to reference Drummond M, Sculpher M, Torrance G, O’Brien B, Stoddart G. Methods for the economic evaluation of health care programmes. 3rd ed. Oxford, UK: Oxford University Press; 2005. Drummond M, Sculpher M, Torrance G, O’Brien B, Stoddart G. Methods for the economic evaluation of health care programmes. 3rd ed. Oxford, UK: Oxford University Press; 2005.
5.
go back to reference Brazier J, Ratcliffe J, Tsuchiya A, Salomon J. Measuring and Valuing Health Benefits for Economic Evaluation. 2nd ed. Oxford: Oxford University Press; 2016. in press. Brazier J, Ratcliffe J, Tsuchiya A, Salomon J. Measuring and Valuing Health Benefits for Economic Evaluation. 2nd ed. Oxford: Oxford University Press; 2016. in press.
6.
go back to reference Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.CrossRefPubMedPubMedCentral Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, Bonsel G, Badia X. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res. 2011;20:1727–36.CrossRefPubMedPubMedCentral
7.
go back to reference Feng Y, Devlin N, Herdman M. Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare? Health and Quality of Life Outcomes. 2015;13:1–16.CrossRef Feng Y, Devlin N, Herdman M. Assessing the health of the general population in England: how do the three- and five-level versions of EQ-5D compare? Health and Quality of Life Outcomes. 2015;13:1–16.CrossRef
8.
go back to reference Agborsangaya CB, Lahtinen M, Cooke T, Johnson JA. Comparing the EQ-5D 3L and 5L: measurement properties and association with chronic conditions and multimorbidity in the general population. Health Qual Life Outcomes. 2014;12:74.CrossRefPubMedPubMedCentral Agborsangaya CB, Lahtinen M, Cooke T, Johnson JA. Comparing the EQ-5D 3L and 5L: measurement properties and association with chronic conditions and multimorbidity in the general population. Health Qual Life Outcomes. 2014;12:74.CrossRefPubMedPubMedCentral
9.
go back to reference Craig BM, Pickard AS, Lubetkin EI. Health problems are more common, but less severe when measured using newer EQ-5D versions. J Clin Epidemiol. 2014;67:93.CrossRefPubMed Craig BM, Pickard AS, Lubetkin EI. Health problems are more common, but less severe when measured using newer EQ-5D versions. J Clin Epidemiol. 2014;67:93.CrossRefPubMed
10.
go back to reference Janssen MF, Pickard AS, Golicki D, Gudex C, Niewada M, Scalone L, Swinburn P, Busschbach J. Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res. 2013;22:1717–27.CrossRefPubMed Janssen MF, Pickard AS, Golicki D, Gudex C, Niewada M, Scalone L, Swinburn P, Busschbach J. Measurement properties of the EQ-5D-5L compared to the EQ-5D-3L across eight patient groups: a multi-country study. Qual Life Res. 2013;22:1717–27.CrossRefPubMed
11.
go back to reference Garcia-Gordillo MA, Adsuar JC, Olivares PR. Normative values of EQ-5D-5L: in a Spanish representative population sample from Spanish Health Survey, 2011. Qual Life Res. 2015. Garcia-Gordillo MA, Adsuar JC, Olivares PR. Normative values of EQ-5D-5L: in a Spanish representative population sample from Spanish Health Survey, 2011. Qual Life Res. 2015.
12.
go back to reference Devlin N, Shah K, Feng Y, Mulhern B, van Hout B. Valuing health-related quality of life: an EQ-5D-5L value set for England. Office of Health Economics: London, UK; 2016. Devlin N, Shah K, Feng Y, Mulhern B, van Hout B. Valuing health-related quality of life: an EQ-5D-5L value set for England. Office of Health Economics: London, UK; 2016.
13.
go back to reference Ravens-Sieberer U. Measuring and monitoring quality-of-life in population surveys: still a challenge for public health research. Soz Praventivmed. 2002;47:203–4.PubMed Ravens-Sieberer U. Measuring and monitoring quality-of-life in population surveys: still a challenge for public health research. Soz Praventivmed. 2002;47:203–4.PubMed
14.
go back to reference Kularatna S, Whitty JA, Johnson NW, Jayasinghe R, Scuffham PA. EQ-5D-3L derived population norms for health related quality of life in Sri Lanka. PLoS One. 2014;9:e108434.CrossRefPubMedPubMedCentral Kularatna S, Whitty JA, Johnson NW, Jayasinghe R, Scuffham PA. EQ-5D-3L derived population norms for health related quality of life in Sri Lanka. PLoS One. 2014;9:e108434.CrossRefPubMedPubMedCentral
15.
go back to reference Banham D, Hawthorne G, Goldney R, Ratcliffe J. Health-related quality of life (HRQoL) changes in South Australia: comparison of burden of disease morbidity and survey-based health utility estimates. Health Qual Life Outcomes. 2014;12:113.CrossRefPubMedPubMedCentral Banham D, Hawthorne G, Goldney R, Ratcliffe J. Health-related quality of life (HRQoL) changes in South Australia: comparison of burden of disease morbidity and survey-based health utility estimates. Health Qual Life Outcomes. 2014;12:113.CrossRefPubMedPubMedCentral
16.
go back to reference Health Quality Council of Alberta. 2014 Alberta population norms for EQ-5D-5L. Alberta, Canada: Health Quality Council of Alberta; 2014. p. 104. Health Quality Council of Alberta. 2014 Alberta population norms for EQ-5D-5L. Alberta, Canada: Health Quality Council of Alberta; 2014. p. 104.
17.
go back to reference Hinz A, Kohlmann T, Stobel-Richter Y, Zenger M, Brahler E. The quality of life questionnaire EQ-5D-5L: psychometric properties and normative values for the general German population. Qual Life Res. 2014;23:443–7.CrossRefPubMed Hinz A, Kohlmann T, Stobel-Richter Y, Zenger M, Brahler E. The quality of life questionnaire EQ-5D-5L: psychometric properties and normative values for the general German population. Qual Life Res. 2014;23:443–7.CrossRefPubMed
18.
go back to reference Scalone L, Cortesi PA, Ciampichini R, Cesana G, LG M. Health related quality of life norm data of the Italian general population: results using the EQ-5D-3L and EQ-5D-5L instruments. Epidemiology, biostatistics and public health. 2015;12:e11457 11451–11415. Scalone L, Cortesi PA, Ciampichini R, Cesana G, LG M. Health related quality of life norm data of the Italian general population: results using the EQ-5D-3L and EQ-5D-5L instruments. Epidemiology, biostatistics and public health. 2015;12:e11457 11451–11415.
19.
go back to reference Shiroiwa T, Fukuda T, Ikeda S, Igarashi A, Noto S, Saito S, Shimozuma K. Japanese population norms for preference-based measures: EQ-5D-3L, EQ-5D-5L, and SF-6D. Qual Life Res. 2015;25:707–19.CrossRefPubMedPubMedCentral Shiroiwa T, Fukuda T, Ikeda S, Igarashi A, Noto S, Saito S, Shimozuma K. Japanese population norms for preference-based measures: EQ-5D-3L, EQ-5D-5L, and SF-6D. Qual Life Res. 2015;25:707–19.CrossRefPubMedPubMedCentral
20.
go back to reference Golicki D, Niewada M. EQ-5D-5L Polish population norms. Arch Med Sci 2015:1–10. Golicki D, Niewada M. EQ-5D-5L Polish population norms. Arch Med Sci 2015:1–10.
21.
go back to reference Augustovski F, Rey-Ares L, Irazola V, Garay OU, Gianneo O, Fernandez G, Morales M, Gibbons L, Ramos-Goni JM. An EQ-5D-5L value set based on Uruguayan population preferences. Qual Life Res. 2016;25:323–33.CrossRefPubMed Augustovski F, Rey-Ares L, Irazola V, Garay OU, Gianneo O, Fernandez G, Morales M, Gibbons L, Ramos-Goni JM. An EQ-5D-5L value set based on Uruguayan population preferences. Qual Life Res. 2016;25:323–33.CrossRefPubMed
22.
go back to reference Clemens S, Begum N, Harper C, Whitty J, Scuffham P. A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA. Qual Life Res. 2014;23:2375–81.CrossRefPubMed Clemens S, Begum N, Harper C, Whitty J, Scuffham P. A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA. Qual Life Res. 2014;23:2375–81.CrossRefPubMed
23.
go back to reference Konig HH, Bernert S, Angermeyer MC, Matschinger H, Martinez M, Vilagut G, Haro JM, de Girolamo G, de Graaf R, Kovess V, Alonso J. Comparison of population health status in six european countries: results of a representative survey using the EQ-5D questionnaire. Med Care. 2009;47:255–61.CrossRefPubMed Konig HH, Bernert S, Angermeyer MC, Matschinger H, Martinez M, Vilagut G, Haro JM, de Girolamo G, de Graaf R, Kovess V, Alonso J. Comparison of population health status in six european countries: results of a representative survey using the EQ-5D questionnaire. Med Care. 2009;47:255–61.CrossRefPubMed
24.
go back to reference Johnson JA, Pickard AS. Comparison of the EQ-5D and SF-12 health surveys in a general population survey in Alberta, Canada. Med Care. 2000;38:115.CrossRefPubMed Johnson JA, Pickard AS. Comparison of the EQ-5D and SF-12 health surveys in a general population survey in Alberta, Canada. Med Care. 2000;38:115.CrossRefPubMed
25.
go back to reference Sun S, Chen J, Johannesson M, Kind P, Xu L, Zhang Y, Burström K. Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008. Qual Life Res. 2011;20:309–20.CrossRefPubMed Sun S, Chen J, Johannesson M, Kind P, Xu L, Zhang Y, Burström K. Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008. Qual Life Res. 2011;20:309–20.CrossRefPubMed
26.
go back to reference Sorensen J, Davidsen M, Gudex C, Pedersen KM, Bronnum-Hansen H. Danish EQ-5D population norms. Scand J Public Health. 2009;37:467–74.CrossRefPubMed Sorensen J, Davidsen M, Gudex C, Pedersen KM, Bronnum-Hansen H. Danish EQ-5D population norms. Scand J Public Health. 2009;37:467–74.CrossRefPubMed
27.
go back to reference Saarni SI, Harkanen T, Sintonen H, Suvisaari J, Koskinen S, Aromaa A, Lonnqvist J. The impact of 29 chronic conditions on health-related quality of life: a general population survey in Finland using 15D and EQ-5D. Qual Life Res. 2006;15:1403–14.CrossRefPubMed Saarni SI, Harkanen T, Sintonen H, Suvisaari J, Koskinen S, Aromaa A, Lonnqvist J. The impact of 29 chronic conditions on health-related quality of life: a general population survey in Finland using 15D and EQ-5D. Qual Life Res. 2006;15:1403–14.CrossRefPubMed
28.
go back to reference Golicki D, Niewada M. General population reference values for 3-level EQ-5D (EQ-5D-3L) questionnaire in Poland. Pol Arch Med Wewn. 2015;125:18–26.PubMed Golicki D, Niewada M. General population reference values for 3-level EQ-5D (EQ-5D-3L) questionnaire in Poland. Pol Arch Med Wewn. 2015;125:18–26.PubMed
29.
go back to reference Ferreira LN, Ferreira PL, Pereira LN, Oppe M. EQ-5D Portuguese population norms. Qual Life Res. 2014;23:425–30.CrossRefPubMed Ferreira LN, Ferreira PL, Pereira LN, Oppe M. EQ-5D Portuguese population norms. Qual Life Res. 2014;23:425–30.CrossRefPubMed
30.
go back to reference Abdin E, Subramaniam M, Vaingankar J, Luo N, Chong S. Population norms for the EQ-5D index scores using Singapore preference weights. Qual Life Res. 2015;24:1545–53.CrossRefPubMed Abdin E, Subramaniam M, Vaingankar J, Luo N, Chong S. Population norms for the EQ-5D index scores using Singapore preference weights. Qual Life Res. 2015;24:1545–53.CrossRefPubMed
31.
go back to reference Burström K, Sun S, Gerdtham U-G, Henriksson M, Johannesson M, Levin L-Å, Zethraeus N. Swedish experience-based value sets for EQ-5D health states. Qual Life Res. 2014;23:431–42.CrossRefPubMed Burström K, Sun S, Gerdtham U-G, Henriksson M, Johannesson M, Levin L-Å, Zethraeus N. Swedish experience-based value sets for EQ-5D health states. Qual Life Res. 2014;23:431–42.CrossRefPubMed
32.
go back to reference Perneger TV, Combescure C, Courvoisier DS. General population reference values for the French version of the EuroQol EQ-5D health utility instrument. Value Health. 2010;13:631–5.CrossRefPubMed Perneger TV, Combescure C, Courvoisier DS. General population reference values for the French version of the EuroQol EQ-5D health utility instrument. Value Health. 2010;13:631–5.CrossRefPubMed
33.
go back to reference Kind P, Dolan P, Gudex C, Williams A. Variations in population health status: results from a United Kingdom national questionnaire survey. BMJ. 1998;316:736–41.CrossRefPubMedPubMedCentral Kind P, Dolan P, Gudex C, Williams A. Variations in population health status: results from a United Kingdom national questionnaire survey. BMJ. 1998;316:736–41.CrossRefPubMedPubMedCentral
34.
go back to reference Luo N, Johnson JA, Shaw JW, Feeny D, Coons SJ. Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index. Med Care. 2005;43:1078.CrossRefPubMed Luo N, Johnson JA, Shaw JW, Feeny D, Coons SJ. Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index. Med Care. 2005;43:1078.CrossRefPubMed
35.
go back to reference Kontodimopoulos N, Pappa E, Niakas D, Yfantopoulos J, Dimitrakaki C, Tountas Y. Validity of the EuroQoL (EQ-5D) Instrument in a Greek General Population. Value Health. 2008;11:1162–9.CrossRefPubMed Kontodimopoulos N, Pappa E, Niakas D, Yfantopoulos J, Dimitrakaki C, Tountas Y. Validity of the EuroQoL (EQ-5D) Instrument in a Greek General Population. Value Health. 2008;11:1162–9.CrossRefPubMed
36.
go back to reference Billa G, Thakkar K, Jaiswar S, Dhodi D. A cross-sectional study to evaluate the awareness and attitudes of physicians towards reducing the cost of prescription drugs, Mumbai. Applied Health Economics and Health Policy. 2014;12:125–37.CrossRefPubMed Billa G, Thakkar K, Jaiswar S, Dhodi D. A cross-sectional study to evaluate the awareness and attitudes of physicians towards reducing the cost of prescription drugs, Mumbai. Applied Health Economics and Health Policy. 2014;12:125–37.CrossRefPubMed
37.
go back to reference Phillips J, Dal Grande E, Ritchie C, Abernethy AP, Currow DC. A population-based cross-sectional study that defined normative population data for the life-space mobility assessment-composite score. J Pain Symptom Manag. 2015;49:885–93.CrossRef Phillips J, Dal Grande E, Ritchie C, Abernethy AP, Currow DC. A population-based cross-sectional study that defined normative population data for the life-space mobility assessment-composite score. J Pain Symptom Manag. 2015;49:885–93.CrossRef
38.
go back to reference Currow DC, Burns C, Agar M, Phillips J, McCaffrey N, Abernethy AP. Palliative caregivers Who would Not take on the caring role again. J Pain Symptom Manag. 2011;41:661–72.CrossRef Currow DC, Burns C, Agar M, Phillips J, McCaffrey N, Abernethy AP. Palliative caregivers Who would Not take on the caring role again. J Pain Symptom Manag. 2011;41:661–72.CrossRef
39.
go back to reference Oppe M, Devlin NJ, van Hout B, Krabbe PFM, de Charro F. A program of methodological research to arrive at the New international EQ-5D-5L valuation protocol. Value Health. 2014;17:445–53.CrossRefPubMed Oppe M, Devlin NJ, van Hout B, Krabbe PFM, de Charro F. A program of methodological research to arrive at the New international EQ-5D-5L valuation protocol. Value Health. 2014;17:445–53.CrossRefPubMed
40.
go back to reference StataCorp. Stata statistical software: release 13. In: StataCorp LP. Texas, USA: College Station; 2013. StataCorp. Stata statistical software: release 13. In: StataCorp LP. Texas, USA: College Station; 2013.
41.
go back to reference Wilson D, Wakefield M, Taylor A. The South Australian health omnibus survey. Health Promotion Journal of Australia. 1992;2:47–9. Wilson D, Wakefield M, Taylor A. The South Australian health omnibus survey. Health Promotion Journal of Australia. 1992;2:47–9.
42.
go back to reference Sun S, Chen J, Kind P, Xu L, Zhang Y, Burström K. Experience-based VAS values for EQ-5D-3L health states in a national general population health survey in China. Qual Life Res. 2015;24:693–703.CrossRefPubMed Sun S, Chen J, Kind P, Xu L, Zhang Y, Burström K. Experience-based VAS values for EQ-5D-3L health states in a national general population health survey in China. Qual Life Res. 2015;24:693–703.CrossRefPubMed
43.
go back to reference Szende A, Williams A. Measuring Self-Reported Population Health: An International Perspective based on EQ-5D. Euroqol Group: Rotterdam; 2004. Szende A, Williams A. Measuring Self-Reported Population Health: An International Perspective based on EQ-5D. Euroqol Group: Rotterdam; 2004.
44.
go back to reference Hawthorne G, Korn S, Richardson J. Population norms for the AQoL derived from the 2007 Australian National Survey of Mental Health and Wellbeing. Aust N Z J Public Health. 2013;37:7–16.CrossRefPubMed Hawthorne G, Korn S, Richardson J. Population norms for the AQoL derived from the 2007 Australian National Survey of Mental Health and Wellbeing. Aust N Z J Public Health. 2013;37:7–16.CrossRefPubMed
45.
go back to reference Hawthorne G, Osborne R. Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure. Aust N Z J Public Health. 2005;29:136–42.CrossRefPubMed Hawthorne G, Osborne R. Population norms and meaningful differences for the Assessment of Quality of Life (AQoL) measure. Aust N Z J Public Health. 2005;29:136–42.CrossRefPubMed
46.
go back to reference Norman R, Church J, van den Berg B, Goodall S. Australian health-related quality of life population norms derived from the SF-6D. Aust N Z J Public Health. 2013;37:17–23.CrossRefPubMed Norman R, Church J, van den Berg B, Goodall S. Australian health-related quality of life population norms derived from the SF-6D. Aust N Z J Public Health. 2013;37:17–23.CrossRefPubMed
47.
go back to reference Cohen J. The Significance of a product moment rs. In: Cohen J, editor. Statistical power analysis for the behavioural sciences. 2nd ed. Hillsdale, New Jersey: Lawrence Erlbaum Associates; 1988. Cohen J. The Significance of a product moment rs. In: Cohen J, editor. Statistical power analysis for the behavioural sciences. 2nd ed. Hillsdale, New Jersey: Lawrence Erlbaum Associates; 1988.
48.
go back to reference Curtin F, Schulz P. Multiple correlations and bonferroni’s correction. Biol Psychiatry. 1998;44:775–7.CrossRefPubMed Curtin F, Schulz P. Multiple correlations and bonferroni’s correction. Biol Psychiatry. 1998;44:775–7.CrossRefPubMed
49.
go back to reference Altman D. Practical statistics for medical research. London: Chapman & Hall/CRC; 1991. Altman D. Practical statistics for medical research. London: Chapman & Hall/CRC; 1991.
51.
go back to reference Willan A, Briggs AH. Statistical analysis of cost-effectiveness data. Chichester, West Sussex: John Wiley & Sons Ltd.; 2006.CrossRef Willan A, Briggs AH. Statistical analysis of cost-effectiveness data. Chichester, West Sussex: John Wiley & Sons Ltd.; 2006.CrossRef
52.
go back to reference Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001;20:461–94.CrossRefPubMed Manning WG, Mullahy J. Estimating log models: to transform or not to transform? J Health Econ. 2001;20:461–94.CrossRefPubMed
53.
go back to reference Glick H, Doshi J, Sonnad S, Polsky D. Economic evaluation in clinical trials. 2nd ed. Oxford, UK: Oxford University Press; 2015. Glick H, Doshi J, Sonnad S, Polsky D. Economic evaluation in clinical trials. 2nd ed. Oxford, UK: Oxford University Press; 2015.
54.
go back to reference Mihaylova B, Briggs A, O’Hagan A, Thompson SG. Review of statistical methods for analysing healthcare resources and costs. Health Econ. 2011;20:897–916.CrossRefPubMed Mihaylova B, Briggs A, O’Hagan A, Thompson SG. Review of statistical methods for analysing healthcare resources and costs. Health Econ. 2011;20:897–916.CrossRefPubMed
55.
go back to reference Parkin D, Rice N, Devlin N. Statistical analysis of EQ-5D profiles: Does the use of value sets bias inference? Med Decis Mak. 2010;30:556–65.CrossRef Parkin D, Rice N, Devlin N. Statistical analysis of EQ-5D profiles: Does the use of value sets bias inference? Med Decis Mak. 2010;30:556–65.CrossRef
56.
go back to reference Feng Y, Parkin D, Devlin NJ. Assessing the performance of the EQ-VAS in the NHS PROMs programme. Qual Life Res. 2014;23:977–89.CrossRefPubMed Feng Y, Parkin D, Devlin NJ. Assessing the performance of the EQ-VAS in the NHS PROMs programme. Qual Life Res. 2014;23:977–89.CrossRefPubMed
57.
58.
go back to reference Parkin D, Devlin N, Feng Y. What determines the shape of an EQ-5D index distribution? Med Decis Making. 2016. Parkin D, Devlin N, Feng Y. What determines the shape of an EQ-5D index distribution? Med Decis Making. 2016.
59.
go back to reference Canadian Agency for Drugs and Technologies in Health: Guidelines for the economic evaluation of health technologies: Canada. 3rd edn. Ottawa; 2006. Canadian Agency for Drugs and Technologies in Health: Guidelines for the economic evaluation of health technologies: Canada. 3rd edn. Ottawa; 2006.
60.
go back to reference Pharmaceutical Benefits Advisory Committee. Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee (Version 4.4). Canberra: Department of Health, Commonwealth of Australia; 2013. Pharmaceutical Benefits Advisory Committee. Guidelines for preparing submissions to the Pharmaceutical Benefits Advisory Committee (Version 4.4). Canberra: Department of Health, Commonwealth of Australia; 2013.
61.
go back to reference National Institute for Health and Care Excellence. Guide to the methods of technology appraisal 2013. NHS: UK; 2013. National Institute for Health and Care Excellence. Guide to the methods of technology appraisal 2013. NHS: UK; 2013.
62.
go back to reference Council HP. In: Council HP, editor. State of Our Health: Health Status and Health Determinants of South Australians Working Draft for Discussion. South Australia: Government of South Australia; 2013. Council HP. In: Council HP, editor. State of Our Health: Health Status and Health Determinants of South Australians Working Draft for Discussion. South Australia: Government of South Australia; 2013.
63.
go back to reference Brennan DS, Teusner DN. Comparing UK, USA and Australian values for EQ-5D as a health utility measure of oral health. Community Dent Health. 2015;32:180–4.PubMed Brennan DS, Teusner DN. Comparing UK, USA and Australian values for EQ-5D as a health utility measure of oral health. Community Dent Health. 2015;32:180–4.PubMed
64.
go back to reference National Institute for Clinical Excellence. Guide to the methods of technology appraisal. London, UK: National Institute for Clinical Excellence; 2008. National Institute for Clinical Excellence. Guide to the methods of technology appraisal. London, UK: National Institute for Clinical Excellence; 2008.
65.
go back to reference Pullenayegum EM, Perampaladas K, Gaebel K, Doble B, Xie F. Between-country heterogeneity in EQ-5D-3L scoring algorithms: how much is due to differences in health state selection? Eur J Health Econ. 2015;16:847–55.CrossRefPubMed Pullenayegum EM, Perampaladas K, Gaebel K, Doble B, Xie F. Between-country heterogeneity in EQ-5D-3L scoring algorithms: how much is due to differences in health state selection? Eur J Health Econ. 2015;16:847–55.CrossRefPubMed
66.
go back to reference Norman R, Cronin P, Viney R. A pilot discrete choice experiment to explore preferences for EQ-5D-5L health states. Appl Health Econ Health Policy. 2013;11:287–98.CrossRefPubMed Norman R, Cronin P, Viney R. A pilot discrete choice experiment to explore preferences for EQ-5D-5L health states. Appl Health Econ Health Policy. 2013;11:287–98.CrossRefPubMed
Metadata
Title
Health-related quality of life measured using the EQ-5D–5L: South Australian population norms
Authors
Nikki McCaffrey
Billingsley Kaambwa
David C. Currow
Julie Ratcliffe
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Health and Quality of Life Outcomes / Issue 1/2016
Electronic ISSN: 1477-7525
DOI
https://doi.org/10.1186/s12955-016-0537-0

Other articles of this Issue 1/2016

Health and Quality of Life Outcomes 1/2016 Go to the issue