Skip to main content

Advertisement

Log in

A cross-sectional validation study of EQ-5D among the Malaysian adult population

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

Abstract

Purpose

The objective of this study was to assess the construct validity of the EQ-5D instrument among the Malaysian population.

Methods

This was a cross-sectional study conducted among Malaysian adults in three northern states of Malaysia. A pre-developed questionnaire consisting of both the EQ-5D and SF-12 items was used for data collection. Concurrent, convergent, and known group validity of EQ-5D were assessed against SF-12 and several known relationships with participants’ demographic and illness characteristics.

Results

A total of 596 Malaysians participated in the study. The mean EQ-5D score was 0.93 (SD = 0.13), while the mean physical component score (PCS-12) and mental component score (MCS-12) scores were 48.9 (SD = 7.4) and 49.1 (SD = 8.0), respectively. Participants with a current medical problem had lower PCS-12 and MCS-12 scores and reported more problems with all of the EQ-5D dimensions; they also had lower EQ-5D and EQ-VAS scores (P < 0.05). Convergent validity was supported by a moderately positive correlation between EQ-5D and EQ-VAS with MCS-12 and PCS-12 scores; moreover, the stronger effect sizes between PCS-12 and the physical dimensions of EQ-5D as well as between MCS-12 with anxiety/depression scores further supported the convergent validity of EQ-5D. Responses to the EQ-5D dimensions only supported two of the four known group validity hypotheses of higher quality of life among individuals who are better educated and no medical problem. No association was found between income and gender with EQ-5D score.

Conclusion

This study has demonstrated acceptable construct validity of the EQ-5D among the Malaysian population.

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.

Abbreviations

EQ-5D:

EuroQoL-5 dimensions

EQ-VAS:

EuroQoL visual analogue Scale

HRQoL:

Health related quality of life

IQR:

Inter-quartile Range

MCS-12:

Mental component score-12 items

PCS-12:

Physical component score-12 items

SD:

Standard deviation

SF-12:

Short-Form-12 items

SF-36:

Short-Form-36 items

References

  1. Skevington, S. M., Lotfy, M., & O’Connell, K. A. (2004). The World Health Organization’s WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A report from the WHOQOL group. Quality of Life Research, 13, 299–310.

    Article  PubMed  CAS  Google Scholar 

  2. Azman, A., Sararaks, S., Rugayah, B., Low, L., Azian, A., Geeta, S., et al. (2003). Quality of life of the Malaysian general population: Results from a postal survey using SF-36. Med J Malaysia, 58, 694–711.

    PubMed  CAS  Google Scholar 

  3. Ware, J., Kosinski, M., & Keller, S. (1996). A 12-item short-form health survey. Medical Care, 34, 220–223.

    Article  PubMed  Google Scholar 

  4. Lam, C. L. K., Tse, E. Y. Y., & Gandek, B. (2005). Is the standard SF-12 Health Survey valid and equivalent for a Chinese population? Quality of Life Research, 14, 539–547.

    Article  PubMed  Google Scholar 

  5. Muller-Nordhorn, J., Roll, S., & Willich, S. (2004). Comparison of the Short Form (SF)-12 health status instrument with the SF-36 in patients with coronary heart disease. Heart, 90, 523–527.

    Article  PubMed  CAS  Google Scholar 

  6. Jenkinson, C., Layte, R., Jenkinson, D., Lawrence, K., Petersen, S., Paice, C., et al. (1997). A shorter form health survey: Can the SF-12 replicate results from the SF-36 in longitudinal studies? Journal of Public Health Medicine, 19, 179–186.

    PubMed  CAS  Google Scholar 

  7. Wee, C., Davies, R., & Hamel, M. (2008). Comparing the SF-12 and SF-36 health status questionnaires in patients with and without obesity. Health and Quality of Life Outcomes, 6, 11–17.

    Article  PubMed  Google Scholar 

  8. Soto, M., Failde, I., Marquez, S., Benitez, E., Ramos, I., Barba, A., et al. (2005). Physical and mental components summaries scores of the SF-36 in coronary patients. Quality of Life Research, 14, 759–768.

    PubMed  Google Scholar 

  9. Mols, F., Pelle, A. J., & Kupper, N. (2009). Normative data of the SF-12 health survey with validation using postmyocardial infarction patients in the Dutch population. Quality of Life Research, 18(4), 403–414.

    Article  PubMed  Google Scholar 

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

    Article  Google Scholar 

  11. Department of Statistics Malaysia. Demographic indicator: Malaysia (2009). Putrajaya: Department of Statistics Malaysia 2009.

  12. Luo, N., Chew, L., Fong, K., Koh, D., Ng, S., Yoon, K., 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, 685–690.

    PubMed  CAS  Google Scholar 

  13. Dolan, P., Gudex, C., Kind, P., & Williams, A. (1995, September). A social tariff for EuroQol: results from a UK general population survey. University of York’s Working Papers. York: University of York 1995 Contract No.: 138.

  14. Liu, H., Feurer, I., Dwyer, K., Speroff, T., Shaffer, D., Pinson, C.W. (2004). The effects of gender and age on health-related quality of life and overall health in renal transplant recipients. Academy Health Meet; San Diego, California 2004. p. abstract no. 1778.

  15. Brazier, J., Jones, N., & King, P. (1993). Testing the validity of the Euroqol and comparing with the SF-36 health survey questionnaire. Quality of Life Research, 2, 169–180.

    Article  PubMed  CAS  Google Scholar 

  16. Szende, A., & Molnar, L. (2001). Inequalities in health status and inequity in the delivery of health care in Hungary. Achives of Hellenic Medicine, 18, 169–179.

    Google Scholar 

  17. Myint, P. K., Luben, R. N., Surtees, P. G., Wainwright, N. W. J., Bingham, S. A., Wareham, N. J., et al. (2009). Effect of age and sex on the relationship between different socioeconomic indices and self-reported functional health in the EPIC-Norfolk population-based study. Annals of Epidemiology, 19, 289–297.

    Article  PubMed  Google Scholar 

  18. Lubetkin, E. L., 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, 2187–2196.

    Article  PubMed  Google Scholar 

  19. Jelsma, J., & Ferguson, G. (2004). The determinants of self-reported health-related quality of life in a culturally and socially diverse South African community. Bulletin World Health Organization, 82, 206–212.

    Google Scholar 

  20. Johnson, J. A., & Pickard, A. S. (2000). Comparison of the EQ-5D and SF-12 health surveys in a general population survey on Alberta, Canada. Medical Care, 38, 115–121.

    Article  PubMed  CAS  Google Scholar 

  21. Chang, T.-J., Tarn, Y.-H., Hsieh, C.-L., Liou, W.-S., Shaw, J. W., & Chiou, X. G. (2007). Taiwanese version of the EQ-5D: Validation in a representative sample of the Taiwanese population. Journal of the Formosan Medical Association, 106, 1023–1031.

    Article  PubMed  Google Scholar 

  22. Johnson, J. A., & Coons, S. J. (1998). Comparison of the EQ-5D and SF-12 in an adult US sample. Quality of Life Research, 7, 155–166.

    Article  PubMed  CAS  Google Scholar 

  23. Yamazaki, S., Fukuhara, S., & Suzukamo, Y. (2005). Household income is strongly associated with health-related quality of life among Japanese men but not women. Public Health, 119, 561–567.

    Article  PubMed  CAS  Google Scholar 

  24. Whynes, D. K. (2008). Correspondence between EQ-5D health state classifications and EQ VAS scores. Health and Quality of Life Outcomes, 6, 94–102.

    Article  PubMed  Google Scholar 

  25. Kontodimopoulos, N., Pappa, E., Niakas, D., & Tountas, Y. (2007). Validity of SF-12 summary scores in a Greek general population. Health and Quality of Life Outcomes, 5, 55–63.

    Article  PubMed  Google Scholar 

  26. van der Zanden, B. P., Dijkgraaf, M. G., Blanken, P., de Borgie, C. A., van Ree, J. M., & van den Brink, W. (2006). Validity of the EQ-5D as a generic health outcome instrument in a heroin-dependent population. Drug and Alcohol Dependence, 82(2), 111–118.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors wish to acknowledge the following for assisting in data collection: Brian Navaratnam, Ikrar Asril, Nadzihah Muhammad Sabri, Noradilah Ishak, Nur Syamimi Mohd Salleh, Nurul Farhana Ismail, Ong Shi Ying, Sitti Marhuma Wenne, Terence Lim Jia Jie, and Yap Wei Ting. We are also grateful for the Universiti Sains Malaysia Research University Grant (1001/PFARMASI/816114) for funding this research.

Conflict of Interest

The authors declare that they have no competing interests.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Asrul Akmal Shafie.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Shafie, A.A., Hassali, M.A. & Liau, S.Y. A cross-sectional validation study of EQ-5D among the Malaysian adult population. Qual Life Res 20, 593–600 (2011). https://doi.org/10.1007/s11136-010-9774-6

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-010-9774-6

Keywords

Navigation