Quality of Life Research

, Volume 13, Issue 2, pp 299–310

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

  • S.M. Skevington
  • M. Lotfy
  • K.A. O'Connell
Article

Abstract

Quality of life (QOL) assessments that are easily administered and which do not impose a great burden on the respondent are needed for use in large epidemiological surveys, clinical settings and clinical trials. Using data from the WHOQOL-BREF field trials, the objectives of this work are to examine the performance of the WHOQOL-BREF as an integrated instrument, and to test its main psychometric properties. The WHOQOL-BREF is a 26-item version of the WHOQOL-100 assessment. Its psychometric properties were analysed using cross-sectional data obtained from a survey of adults carried out in 23 countries (n = 11,830). Sick and well respondents were sampled from the general population, as well as from hospital, rehabilitation and primary care settings, serving patients with physical and mental disorders and with respect to quotas of important socio-demographic variables. The WHOQOL-BREF self-assessment was completed, together with socio-demographic and health status questions. Analyses of internal consistency, item–total correlations, discriminant validity and construct validity through confirmatory factor analysis, indicate that the WHOQOL-BREF has good to excellent psychometric properties of reliability and performs well in preliminary tests of validity. These results indicate that overall, the WHOQOL-BREF is a sound, cross-culturally valid assessment of QOL, as reflected by its four domains: physical, psychological, social and environment.

Assessment Cross-cultural Quality of life WHOQOL-BREF 

References

  1. 1.
    Wood-Dauphine S. Assessing quality of life in clinical research: From where have we come and where are we going? J Clin Epidemiol 1999; 52: 355-363.Google Scholar
  2. 2.
    McHorney CA. Health status assessment methods for adults: Past accomplishments and future challenges. Ann Rev Public Health 1999; 20: 309-335.Google Scholar
  3. 3.
    Muldoon MF, Barger SD, Flory JD, Manuck SB. What are quality of life measurements measuring? Br Med J 1998; 316: 542-545.Google Scholar
  4. 4.
    Guyatt GH, Naylor CD, Juniper E, et al. Users' guide to the medical literature XII: How to use articles about health-related quality of life. J Am Med Assoc 1997; 277: 1232-1237.Google Scholar
  5. 5.
    WHOQOL Group. Development of the WHOQOL: Rationale and current status. Int J Mental Health 1994; 23: 24-56.Google Scholar
  6. 6.
    WHOQOL Group. The World Health Organization Quality of Life assessment (WHOQOL): Position paper from the World Health Organization. Soc Sci Med 1995; 41: 1403-1409.Google Scholar
  7. 7.
    WHOQOL Group. The World Health Organization Quality of Life assessment (WHOQOL): Development and general psychometric properties. Soc Sci Med 1998a; 46: 1569-1585.Google Scholar
  8. 8.
    Skevington SM. Measuring quality of life in Britain: Introducing the WHOQOL-100. J Psychosom Res 1999; 47: 5449-5459.Google Scholar
  9. 9.
    WHOQOL Group. Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychol Med 1998b; 28: 551-558.Google Scholar
  10. 10.
    Szabo S, Orley J, Saxena S on behalf of the WHOQOL Group. An approach to response scale development for cross-cultural questionnaires. Eur Psychol 1997; 2: 3270-3276.Google Scholar
  11. 11.
    Sartorius N, Kuyken W. Translation of health status measures. In: Orley J and Kuyken W (eds), Quality of Life Assessment: International Perspectives. Heidelberg: Springer Verlag, 1994.Google Scholar
  12. 12.
    WHO — The World Health Organization. WHOQOL User Manual. Geneva, World Health Organization, 1998.Google Scholar
  13. 13.
    Skevington SM. Advancing cross-cultural research on quality of life: Observations drawn from the WHOQOL development. Qual Life Res 2002; 11: 135-144.Google Scholar
  14. 14.
    Ware JE, Harris WJ, Gandek B, Rogers BW, Reese PR. MAP-R for Windows: Multi-trait/Multi-Item Analysis Program-Revised. Users Guide. Boston, MA: Health Assessment Lab, 1997.Google Scholar
  15. 15.
    Bentler, PM. EQS Structural Equation Program Manual. Encino, C.A: Multivariate Software, Inc, 1995.Google Scholar

Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • S.M. Skevington
    • 1
  • M. Lotfy
    • 2
  • K.A. O'Connell
    • 1
  1. 1.Department of Psychology, University of BathWHO Centre for the Study of Quality of LifeBathUK
  2. 2.Department of Mental Health and Substance DependenceWorld Health OrganisationGenevaSwitzerland

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