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Quality of Life Research
Published in: Quality of Life Research 6/2010

Open Access 01-08-2010

Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study

Authors: Ulrike Ravens-Sieberer, Nora Wille, Xavier Badia, Gouke Bonsel, Kristina Burström, Gulia Cavrini, Nancy Devlin, Ann-Charlotte Egmar, Narcis Gusi, Michael Herdman, Jennifer Jelsma, Paul Kind, Pedro R. Olivares, Luciana Scalone, Wolfgang Greiner

Published in: Quality of Life Research | Issue 6/2010

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Abstract

Purpose

To examine the feasibility, reliability, and validity of the newly developed EQ-5D-Y.

Methods

The EQ-5D-Y was administered in population samples of children and adolescents in Germany, Italy, South Africa, Spain, and Sweden. Percentages of missing values and reported problems were calculated. Test–retest reliability was determined. Spearman’s rank correlation coefficients with other generic measures of HRQOL were calculated. Known groups’ validity was examined by comparing groups with a priori expected differences in HRQOL.

Results

Between 91 and 100% of the respondents provided valid scorings. Sweden had the lowest proportion of reported problems (1–24.9% across EQ-5D-Y dimensions), with the highest proportions in South Africa (2.8–47.3%) and Italy (4.3–39.0%). Percentages of agreement in test–retest reliability ranged between 69.8 and 99.7% in the EQ-5D-Y dimensions; Kappa coefficients were up to 0.67. Correlation coefficients with other measures of self-rated health indicated convergent validity (up to r = −0.56). Differences between groups classified according to presence of chronic conditions, self-rated overall health and psychological problems provided preliminary evidence of known groups’ validity.

Conclusions

Results provide preliminary evidence of the instrument’s feasibility, reliability and validity. Further study is required in clinical samples and for possible future applications in economic analyses.
Literature
1.
Ravens-Sieberer, U., Erhart, M., Wille, N., Wetzel, R., Nickel, J., & Bullinger, M. (2006). Generic health-related quality of life assessment in children and adolescents: Methodological considerations. Pharmacoeconomics, 24, 1199–1220.CrossRefPubMed
2.
Sullivan, M. (2003). The new subjective medicine: Taking the patient’s point of view on health care and health. Social Sciences & Medicine, 56, 1595–1604.CrossRef
3.
Eiser, C., & Morse, R. (2001). A review of measures of quality of life for children with chronic illness. Archives of Disease in Childhood, 84, 205–211.CrossRefPubMed
4.
Clarke, S., & Eiser, C. (2004). The measurement of health-related quality of life (QoL) in paediatric clinical trials: A systematic review. Health & Quality of Life Outcomes, 2, 66.CrossRef
5.
Riley, A. W. (2004). Evidence that school-age children can self-report on their health. Ambulatory Pediatrics, 4, 371–376.CrossRefPubMed
6.
Harter, S., & Whitesell, N. R. (1989). Developmental changes in children’s understanding of single, multiple and blended emotion concepts. In E. Saarni & P. L. Harris (Eds.), Children’s understanding of emotion (pp. 81–116). New York: Cambridge University Press.
7.
Rabin, R., & de Charro, F. (2001). EQ-5D: A measure of health status from the EuroQol Group. Annals of Medicine, 33, 337–343.CrossRefPubMed
8.
Wille, N., Badia, X., Bonsel, G., Burström, K., Cavrini, G., Egmar, A.-C., et al. (2010). Development of the EQ-5D-Y: A child-friendly version of the EQ-5D. Quality of Life Research. doi:10.​1007/​s11136-010-9648-y.
9.
Currie, C., Samdal, O., Boyce, W., et al. (Eds.) (2001). Health behaviour in school-aged children: A WHO Cross-National Study (HBSC), research protocol for the 2001/2002 survey. Child and Adolescent Health Research Unit (CAHRU), University of Edinburgh.
10.
Ravens-Sieberer, U., Auquier, P., Erhart, M., Gosch, A., Rajmil, L., Bruil, J., et al. (2007). The Kidscreen-27 quality of life measure for children and adolescent: Psychometric results from a cross-cultural survey in 13 European countries. Quality of Life Research, 16, 1347–1356.CrossRefPubMed
11.
Ravens-Sieberer, U., & the European KIDSCREEN Group. (2006). The KIDSCREEN Questionnaires—Quality of life questionnaires for children and adolescents—Handbook. Lengerich: Papst Science Publisher.
12.
Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL: Measurement model for the Pediatric Quality of Life Inventory. Medical Care, 37, 126–139.CrossRefPubMed
13.
Idler, E. L., & Benyamini, Y. (1997). Self-rated health and mortality: A review of twenty-seven community studies. Journal of Health and Social Behavior, 38, 21–37.CrossRefPubMed
14.
Cantril, H. (1965). The pattern of human concern. New Brunswick, NJ: Rutgers University Press.
15.
Goodman, R. (1997). The Strengths and Difficulties Questionnaire: A research note. Journal of Child Psychology and Psychiatry, 38, 581–586.CrossRefPubMed
16.
Goodman, R., Meltzer, H., & Bailey, V. (1998). The strengths and difficulties questionnaire: A pilot study on the validity of the self-report version. European Child and Adolescent Psychiatry, 7, 125–130.CrossRefPubMed
17.
Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70, 213–220.CrossRefPubMed
18.
Fleiss, J. L., & Cohen, J. (1973). The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educational and Psychological Measurement, 33, 613–619.CrossRef
19.
Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174.CrossRefPubMed
20.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York, NY: McCraw-Hill.
21.
Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Publishers.
22.
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56, 81–105.CrossRefPubMed
23.
Kind, P., Dolan, P., Gudex, C., & Williams, A. (1998). Variations in population health status: Results from a United Kingdom national questionnaire survey. BMJ, 316, 736–741.PubMed
24.
Macran, S., Weatherly, H., & Kind, P. (2003). Measuring population health: A comparison of three generic health status measures. Medical Care, 41, 218–231.CrossRefPubMed
25.
Szende, A., Oppe, M., & Devlin, N. (2007). EQ-5D valuation sets: An inventory, comparative review and users’ guide. Rotterdam: EuroQol Foundation, Springer.
26.
27.
Sculpher, M., & Gafni, A. (2002). Recognising diversity in public preferences: The use of preference sub-groups in cost-effectiveness analysis. Authors Reply. Health Economics, 11, 653.CrossRef
28.
Robinson, A., & Parkin, D. (2002). Recognising diversity in public preferences: The use of preference sub-groups in cost-effectiveness analysis. A response to Sculpher and Gafni. Health Economics, 11, 649–651.CrossRefPubMed
Metadata
Title
Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study
Authors
Ulrike Ravens-Sieberer
Nora Wille
Xavier Badia
Gouke Bonsel
Kristina Burström
Gulia Cavrini
Nancy Devlin
Ann-Charlotte Egmar
Narcis Gusi
Michael Herdman
Jennifer Jelsma
Paul Kind
Pedro R. Olivares
Luciana Scalone
Wolfgang Greiner
Publication date
01-08-2010
Publisher
Springer Netherlands
Published in
Quality of Life Research / Issue 6/2010
Print ISSN: 0962-9343
Electronic ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-010-9649-x

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