Skip to main content

Advertisement

Log in

Population norms for the EQ-5D index scores using Singapore preference weights

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

To provide norms for the EQ-5D index scores based on Singapore preference weights according to age, sex, ethnicity, and language version and compare the EQ-5D index scores for respondents with and without psychiatric disorders and chronic medical conditions.

Methods

The Singapore Mental Health Study was a cross-sectional epidemiological survey of a nationally representative sample of the resident (citizens and permanent residents) population in Singapore. The diagnoses of psychiatric disorders were established using the World Mental Health Composite International Diagnostic Interview version 3.0 (CIDI 3.0). Index scores were derived using the Singapore preference weights.

Results

In general, the mean EQ-5D index score using Singapore preference weights decreased with increased age. The EQ-5D Malay version reported lower mean EQ-5D index than the English version. In multivariate analysis, the mean EQ-5D index for respondents with MDD, dysthymia, bipolar disorder, GAD, OCD, diabetes, hypertension, arthritis or rheumatism, neurological condition, stroke or major paralysis, heart attack, back problems, stomach ulcer, kidney failure, migraine headaches, and chronic lung disease was significantly lower than those without these conditions.

Conclusions

These findings support the use of the Singapore preference weights for EQ-5D valuations when measuring health-related quality of life and comparing the health burden of psychiatric and chronic physical conditions among adults in Singapore.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Luo, N., Low, S., Lau, P. N., Au, W. L., & Tan, L. C. (2009). Is EQ-5D a valid quality of life instrument in patients with Parkinson’s disease? A study in Singapore. Annals of the Academy of Medicine, Singapore, 38(6), 521–528.

    PubMed  Google Scholar 

  2. Gao, F., Ng, G. Y., Cheung, Y. B., Thumboo, J., Pang, G., Koo, W. H., et al. (2009). The Singaporean english and Chinese versions of the EQ-5D achieved measurement equivalence in cancer patients. Journal of Clinical Epidemiology, 62(2), 206–213.

    Article  PubMed  Google Scholar 

  3. Luo, N., Chew, L. H., Fong, K. Y., Koh, D. R., Ng, S. C., Yoon, K. H., et al. (2003). Validity and reliability of the EQ-5D self-report questionnaire in Chinese-speaking patients with rheumatic diseases in Singapore. Annals of the Academy of Medicine, Singapore, 32(5), 685–690.

    CAS  PubMed  Google Scholar 

  4. Quah, J. H., Luo, N., Ng, W. Y., How, C. H., & Tay, E. G. (2011). Health-related quality of life is associated with diabetic complications, but not with short-term diabetic control in primary care. Annals of the Academy of Medicine, Singapore, 40(6), 276–286.

    PubMed  Google Scholar 

  5. Zhang, X. H., Li, S. C., Fong, K. Y., & Thumboo, J. (2009). The impact of health literacy on health-related quality of life (HRQoL) and utility assessment among patients with rheumatic diseases. Value Health, 12(Suppl 3), S106–S109.

    Article  PubMed  Google Scholar 

  6. Luo, N., Ng, W. Y., Lau, P. N., Au, W. L., & Tan, L. C. (2010). Responsiveness of the EQ-5D and 8-item Parkinson’s Disease Questionnaire (PDQ-8) in a 4-year follow-up study. Quality of Life Research, 19(4), 565–569.

    Article  PubMed  Google Scholar 

  7. Xie, F., Li, S. C., Luo, N., Lo, N. N., Yeo, S. J., Yang, K. Y., et al. (2007). Comparison of the EuroQol and short form 6D in Singapore multiethnic Asian knee osteoarthritis patients scheduled for total knee replacement. Arthritis Rheumatology, 57(6), 1043–1049.

    Article  Google Scholar 

  8. Chow, W. H., Chang, P., Lee, S. C., Wong, A., Shen, H. M., & Verkooijen, H. M. (2010). Complementary and alternative medicine among Singapore cancer patients. Annals of the Academy of Medicine, Singapore, 39(2), 129–135.

    PubMed  Google Scholar 

  9. Ong, S. C., Mak, B., Aung, M. O., Li, S. C., & Lim, S. G. (2008). Health-related quality of life in chronic hepatitis B patients. Hepatology, 47(4), 1108–1117.

    Article  PubMed  Google Scholar 

  10. Kind, P., Dolan, P., Gudex, C., & Williams, A. (1998). Variations in population health status: Results from a United Kingdom national questionnaire survey. BMJ, 316(7133), 736–741.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  11. Golicki, D., Niewada, M., Jakubczyk, M., Wrona, W., & Hermanowski, T. (2010). Self-assessed health status in Poland: EQ-5D findings from the Polish valuation study. Polskie Archiwum Medycyny Wewnetrznej, 120(7–8), 276–281.

    PubMed  Google Scholar 

  12. Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the National Health Measurement study. Medical Care, 45(12), 1162–1170.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Luo, N., Johnson, J. A., Shaw, J. W., Feeny, D., & Coons, S. J. (2005). Self-reported health status of the general adult U.S. population as assessed by the EQ-5D and Health Utilities Index. Medical Care, 43(11), 1078–1086.

    Article  PubMed  Google Scholar 

  14. Sun, S., Chen, J., Johannesson, M., Kind, P., Xu, L., Zhang, Y., & Burstrom, K. (2011). Population health status in China: EQ-5D results, by age, sex and socio-economic status, from the National Health Services Survey 2008. Quality of Life Research, 20(3), 309–320.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Clemens, S., Begum, N., Harper, C., Whitty, J. A., & Scuffham, P. A. (2014). A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA. Quality of Life Research, 23(8), 2375–2381.

    Article  PubMed  Google Scholar 

  16. Ferreira, L. N., Ferreira, P. L., Pereira, L. N., & Oppe, M. (2014). EQ-5D Portuguese population norms. Quality of Life Research, 23(2), 425–430.

    Article  PubMed  Google Scholar 

  17. Burstrom, K., Johannesson, M., & Diderichsen, F. (2001). Swedish population health-related quality of life results using the EQ-5D. Quality of Life Research, 10(7), 621–635.

    Article  CAS  PubMed  Google Scholar 

  18. Perneger, T. V., Combescure, C., & Courvoisier, D. S. (2010). General population reference values for the French version of the EuroQol EQ-5D health utility instrument. Value Health, 13(5), 631–635.

    Article  PubMed  Google Scholar 

  19. Sorensen, J., Davidsen, M., Gudex, C., Pedersen, K. M., & Bronnum-Hansen, H. (2009). Danish EQ-5D population norms. Scandinavian Journal of Public Health, 37(5), 467–474.

    Article  PubMed  Google Scholar 

  20. Tsuchiya, A., Ikeda, S., Ikegami, N., Nishimura, S., Sakai, I., Fukuda, T., et al. (2002). Estimating an EQ-5D population value set: The case of Japan. Health Economics, 11(4), 341–353.

    Article  PubMed  Google Scholar 

  21. Fujikawa, A., Suzue, T., Jitsunari, F., & Hirao, T. (2011). Evaluation of health-related quality of life using EQ-5D in Takamatsu, Japan. Environmental Health and Preventive Medicine, 16(1), 25–35.

    Article  PubMed Central  PubMed  Google Scholar 

  22. Kontodimopoulos, N., Pappa, E., Niakas, D., Yfantopoulos, J., Dimitrakaki, C., & Tountas, Y. (2008). Validity of the EuroQoL (EQ-5D) instrument in a Greek general population. Value Health, 11(7), 1162–1169.

    Article  PubMed  Google Scholar 

  23. Abdin, E., Subramaniam, M., Vaingankar, J. A., Luo, N., & Chong, S. A. (2013). Measuring health-related quality of life among adults in Singapore: Population norms for the EQ-5D. Quality of Life Research, 22(10), 2983–2991.

    Article  PubMed  Google Scholar 

  24. Luo, N., Chew, L. H., Fong, K. Y., Koh, D. R., Ng, S. C., Yoon, K. H., et al. (2003). A comparison of the EuroQol-5D and the Health Utilities Index mark 3 in patients with rheumatic disease. Journal Rheumatology, 30(10), 2268–2274.

    Google Scholar 

  25. Subramaniam, M., Abdin, E., Poon, L. Y., Vaingankar, J. A., Lee, H., Chong, S. A., & Verma, S. (2014). EQ-5D as a measure of programme outcome: Results from the Singapore early psychosis intervention programme. Psychiatry Resesearch, 215(1), 46–51.

    Article  Google Scholar 

  26. Luo, N., Wang, P., Thumboo, J., Lim, Y. W., & Vrijhoef, H. J. (2014). Valuation of EQ-5D-3L health states in Singapore: Modeling of time trade-off values for 80 empirically observed health states. PharmacoEconomics, 32(5), 495–507.

    Article  PubMed  Google Scholar 

  27. Subramaniam, M., Vaingankar, J., Heng, D., Kwok, K. W., Lim, Y. W., Yap, M., & Chong, S. A. (2012). The Singapore Mental Health Study: An overview of the methodology. International Journal of Methods in Psychiatric Research, 21(2), 149–157.

    Article  PubMed  Google Scholar 

  28. EuroQol. (1990). EuroQol—a new facility for the measurement of health-related quality of life. The EuroQol Group. Health Policy, 16(3), 199–208.

    Article  Google Scholar 

  29. Kessler, R. C., & Ustun, T. B. (2004). The World Mental Health (WMH) survey initiative version of the world health organization (WHO) composite international diagnostic interview (CIDI). International Journal of Methods in Psychiatric Research, 13(2), 93–121.

    Article  PubMed  Google Scholar 

  30. American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders. Washington, DC: American Psychiatric Association.

    Google Scholar 

  31. Chong, S. A., Abdin, E., Nan, L., Vaingankar, J. A., & Subramaniam, M. (2012). Prevalence and impact of mental and physical comorbidity in the adult Singapore population. Annals of the Academy of Medicine, Singapore, 41(3), 105–114.

    PubMed  Google Scholar 

  32. Department of Statistics. (2008). Yearbook of Statistics Singapore, 2008: Department of Statistics, Ministry of Trade & Industry, Republic of Singapore.

  33. Chong, S. A., Abdin, E., Vaingankar, J. A., Heng, D., Sherbourne, C., Yap, M., et al. (2012). A population-based survey of mental disorders in Singapore. Annals of the Academy of Medicine, Singapore, 41(2), 49–66.

    PubMed  Google Scholar 

  34. Kind P, Hardman G, & Macran S. (1999). UK population norms for EQ-5D. Centre for Health Economics Discussion paper 172, The York University.

  35. Lubetkin, E. I., Jia, H., Franks, P., & Gold, M. R. (2005). Relationship among sociodemographic factors, clinical conditions, and health-related quality of life: Examining the EQ-5D in the U.S. general population. Quality of Life Research, 14(10), 2187–2196.

    Article  PubMed  Google Scholar 

  36. Bernert, S., Fernandez, A., Haro, J. M., Konig, H. H., Alonso, J., Vilagut, G., et al. (2009). Comparison of different valuation methods for population health status measured by the EQ-5D in three European countries. Value Health, 12(5), 750–758.

    Article  PubMed  Google Scholar 

  37. Subramaniam, M., Abdin, E., Vaingankar, J. A., Nan, L., Heng, D., McCrone, P., & Chong, S. A. (2013). Impact of psychiatric disorders and chronic physical conditions on health-related quality of life: Singapore Mental Health Study. Journal of Affective Disorders, 147(1–3), 325–330.

    Article  PubMed  Google Scholar 

  38. Essex, H. N., White, I. R., Khadjesari, Z., Linke, S., McCambridge, J., Murray, E., et al. (2014). Quality of life among hazardous and harmful drinkers: EQ-5D over a 1-year follow-up period. Quality of Life Research, 23(2), 733–743.

    Article  PubMed  Google Scholar 

  39. Kontodimopoulos, N., Pappa, E., Papadopoulos, A. A., Tountas, Y., & Niakas, D. (2009). Comparing SF-6D and EQ-5D utilities across groups differing in health status. Quality of Life Research, 18(1), 87–97.

    Article  PubMed  Google Scholar 

  40. Saarni, S. I., Harkanen, T., Sintonen, H., Suvisaari, J., Koskinen, S., Aromaa, A., & Lonnqvist, J. (2006). The impact of 29 chronic conditions on health-related quality of life: A general population survey in Finland using 15D and EQ-5D. Quality of Life Research, 15(8), 1403–1414.

    Article  PubMed  Google Scholar 

  41. Huang, I. C., Willke, R. J., Atkinson, M. J., Lenderking, W. R., Frangakis, C., & Wu, A. W. (2007). US and UK versions of the EQ-5D preference weights: Does choice of preference weights make a difference? Quality of Life Research, 16(6), 1065–1072.

    Article  PubMed  Google Scholar 

  42. Pullenayegum, E. M., Tarride, J. E., Xie, F., & O’Reilly, D. (2011). Calculating utility decrements associated with an adverse event: Marginal Tobit and CLAD coefficients should be used with caution. Medical Decision Making, 31(6), 790–799.

    Article  PubMed  Google Scholar 

  43. Sullivan, P. W. (2011). Are utilities bounded at 1.0? Implications for statistical analysis and scale development. Medical Decision Making, 31(6), 787–789.

    Article  PubMed  Google Scholar 

Download references

Acknowledgement

The study was funded by the Singapore Millennium Foundation and the Ministry of Health, Singapore.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Edimansyah Abdin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abdin, E., Subramaniam, M., Vaingankar, J.A. et al. Population norms for the EQ-5D index scores using Singapore preference weights. Qual Life Res 24, 1545–1553 (2015). https://doi.org/10.1007/s11136-014-0859-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-014-0859-5

Keywords

Navigation