Skip to main content
Mijn bibliotheek
Shop
Nieuws Boeken Tijdschriften E-learning Web-tv Video Audio
Tips voor Mijn BSL
UITGEBREID ZOEKEN
Inloggen
Top
Quality of Life Research
Gepubliceerd in: Quality of Life Research 1/2013

01-02-2013

Measuring preference-based quality of life in children aged 6–7 years: a comparison of the performance of the CHU-9D and EQ-5D-Y—the WAVES Pilot Study

Auteurs: Alastair G. Canaway, Emma J. Frew

Gepubliceerd in: Quality of Life Research | Uitgave 1/2013

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail
    Link delen
publish
Publiceer nu

Abstract

Purpose

To examine the performance of the child health utility 9D (CHU-9D) and EuroQol 5D-youth (EQ-5D-Y) in children aged 6–7 years.

Method

The CHU-9D and EQ-5D-Y were interviewer-administered to 160 children aged 6–7 years at six schools across the West Midlands. Missing values, time taken to complete instruments and interviewer ratings were recorded to assess feasibility/acceptability. Construct validity was assessed by testing convergent validity hypotheses. Reliability was examined via a test–retest of a sub-sample. Psychometric properties were further examined by exploring distributions of utility scores, qualitative notes and design of the questionnaires.

Results

No missing responses were recorded with over 80% of children’s understanding being rated as good/excellent for both questionnaires. The average completion time for both instruments was less than 3 minutes, demonstrating excellent feasibility/acceptability. Evidence of construct validity was recorded with 12 of the 13 convergent hypotheses being supported. Test–retest reliability was relatively poor for both instruments with weighted kappa coefficients ranging from fair to moderate.

Conclusion

Children aged 6–7 years can feasibly complete utility instruments when interviewer-administered. The reliability of the instruments is of concern and requires further study. With respect to content validity and other psychometric properties, the CHU-9D is favoured to the EQ-5D-Y. Until the EuroQol group produces tariff values for the EQ-5D-Y, we recommend that the EQ-5D-Y is not used for utility elicitation in this age group.
vorige artikel Validation of the Brazilian version of Chronic Liver Disease Questionnaire
volgende artikel Factors influencing self- and parent-reporting health-related quality of life in children with brain tumors
Bijlagen
Alleen toegankelijk voor geautoriseerde gebruikers
Literatuur
1.
2.
3.
Räsänen, P., Roine, E., Sinotenen, H., Semberg-Konttinen, V., Ryynänen, P., & Roine, R. (2006). Use of quality-adjusted life years for the estimation of effectiveness of health care: A systematic literature review. International Journal of Technology Assessment in Health Care, 22, 235–241.PubMedCrossRef
4.
Varni, J., Burwinkle, T., & Seid, M. (2006). The PedsQL™ 4.0 as a school population health measure: Feasibility, reliability, and validity. Quality of Life Research, 15, 203–215.PubMedCrossRef
5.
Ravens-Sieberer, U., Gosch, A., Kilroe, J., et al. (2005). KIDSCREEN-52 quality-of-life measure for children and adolescents. Pharmacoeconomics, 5(3), 353–364.
6.
Landgraf, J., Maunsell, K., Ware, J., et al. (1998). Canadian-French, German and UK versions of the child health questionnaire: Methodology and preliminary item scaling results. Quality of Life Research, 7, 433–445.PubMedCrossRef
7.
Riley, A. (2004). Evidence that school-age children can self-report on their health. Ambulatory Pediatrics, 4(4), 371–376.PubMedCrossRef
8.
Petrou, S. (2003). Methodological issues raised by preference-based approaches to measuring the health status of children. Health Economics, 12, 697–702.PubMedCrossRef
9.
McAuley, K., Taylor, R., Farmer, V., Hansen, P., Williams, S., Booker, C., et al. (2010). Economic evaluation of a community-based obesity prevention program in children: The APPLE project. Obesity, 1, 131–136.CrossRef
10.
Pal, D. (1996). Quality of life assessment in children: A review of conceptual and methodological issues in multidimensional health status measures. Journal of Epidemiology and Community Health, 50, 391–396.PubMedCrossRef
11.
Binger, C., Ablin, A., Feverstein, R., Kushner, J., & Zoger, S. M. C. (1969). Childhood leukaemia: Emotional impact on patient and family. New England Journal of Medicine, 280, 414–418.PubMedCrossRef
12.
Ball, A., Russell, E., Seymour, D., et al. (2001). Problems in using health survey questionnaires in older patients with physical disabilities. Gerontology, 47, 334–340.PubMedCrossRef
13.
Achenbach, T., McConaughy, S., & Howell, C. (1987). Child/adolescent behavioural and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin, 101, 213–232.PubMedCrossRef
14.
Eieser, C., & Morse, R. (2001). Quality-of-life measures in chronic diseases of childhood. Health Technology Assessment, 5(4), 1–156.
15.
McGrath, P. (1990). Pain in children: Nature, assessment, and treatment. New York: Guilford.
16.
Varni, J., Thompson, K., & Hanson, V. (1987). The Varni/Thompson pediatric pain questionnaire: I. Chronic musculoskeletal pain in juvenile rheumatoid arthritis. Pain, 28, 27–38.PubMedCrossRef
17.
Varni, J., & Bernstein, B. (1991). Evaluation and management of pain in children with rheumatic diseases. Rheumatic Disease Clinics of North America, 17, 985–1000.PubMed
18.
Varni, J., Limbers, C., & Burwinkle, T. (2007). How young can children reliably and validly self-report their health-related quality of life?: An analysis of 8591 children across age subgroups with the PedsQL™4.0 Generic Core Scales. Health and Quality of Life Outcomes, 5(1), 1–13.PubMedCrossRef
19.
Wille, N., Badia, X., et al. (2010). Development of the EQ-5D-Y: A child-friendly version of the EQ-5D. Quality of Life Research, 19, 875–886.PubMedCrossRef
20.
Stevens, K. (2010). Assessing the performance of a new generic measure of health related quality of life for children and refining it for use in health state valuation. Applied Health Economics and Health Policy, 8(3), 157–169.
21.
Ravnes-Sieberer, U., Willie, N., et al. (2011). Feasibility, reliability, and validity of the EQ-5D-Y: Results from a multinational study. Quality of Life Research, 19, 887–897.CrossRef
22.
23.
Boyle, S., Jones, G., & Walters, S. (2010). Physical activity, quality of life, weight status and diet in adolescents. Quality of Life Research, 19(7), 943–954.PubMedCrossRef
24.
Thomas, K., Koller, K., Williams, H., et al. (2011). A multicentre randomised controlled trial and economic evaluation of ion-exchange water softeners for the treatment of eczema in children: The Softened Water Eczema Trial (SWET). Health Technology Assessment, 15(8), 1–176.
25.
Szende, A., Oppe, M., & Devlin, N. (2007). EQ-5D valuation sets: An inventory, comparative review and users’ guide. Rotterdam: EuroQol Foundation, Springer.
26.
Stevens, K. (2010). Working with children to develop dimensions for a preference based generic paediatric health related quality of life measures. Qualitative Health Research, 20(3), 340–351.PubMedCrossRef
27.
Stevens, K. (2010). Valuation of the child health utility index 9D (CHU-9D). Health Economics and Decision Science Discussion Paper 10/07.
28.
Perreault, W. (1975). Controlling order-effect bias. Public Opinion Quarterly pp. 544–551.
29.
Essink-Bot, M., Krabbe, P., & Bonsel, G. A. N. (1997). An empirical comparison of four generic health status measures: The Nottingham health profile, the medical outcomes study 36-item short-form health survey, the COOP/WONCA charts, and the EuroQol Instrument. Medical Care, 35, 522–537.PubMedCrossRef
30.
Brazier, J., & Deverill, M. (1999). A checklist for judging preference-based measures of health related quality of life: Learning from psychometric measures. Health Economics, 8, 41–51.PubMedCrossRef
31.
Badia, X., Monserrat, S., Roset, M., & Herdman, M. (1999). Feasibility, validity and test-retest reliability of scaling methods for health states: The visual analogue scale and the time trade-off. Quality of Life Research, 8(4), 303–310.PubMedCrossRef
32.
McHorney, C., Ware, J., Lu, J., & Sherbourne, C. (1994). The MOS 36-item short-form health survey (SF-36): III Tests of data quality, scaling assumptions, and reliability across diverse patient groups. Medical Care, 32, 40–66.PubMedCrossRef
33.
Cohen, J. (1968). Weighted kappa: Nominal scale agreement with provision for scaled disagreement or partial credit. Psychological Bulletin, 70, 213–220.PubMedCrossRef
34.
Landis, J., & Koch, G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33, 159–174.PubMedCrossRef
35.
Cohen, J. (1988). Statistical power analysis for the behavioural sciences (2nd ed.). NJ: Lawrence Erlbaum Publishers.
36.
Brod, M., Tesler, L., & Christensen, T. (2009). Qualitative research and content validity: Developing best worst practices based on science and experience. Quality of Life Research, 18, 1263–1278.PubMedCrossRef
37.
Brazier, J., Roberts, J., Tsuchiya, A., & Busschbach, J. (2011). A comparison of the EQ-5D and SF6D across seven patient groups. Health Economics, 13, 873–884.CrossRef
38.
Ratcliffe, J., Flynn, T., Terlich, F., Brazier, J., Stevens, K., & Sawyer, M. Developing adolescent specific health state values for economic evaluation: an application of profile case best worst scaling to the Child Health Utility-9D. Pharmacoeconomics, Forthcoming.
39.
Al-Janabi, H., Flynn, T., & Coast, J. (in press), Development of a self-report measure of capability wellbeing for adults: The ICECAP-A. Quality of Life Research.
Metagegevens
Titel
Measuring preference-based quality of life in children aged 6–7 years: a comparison of the performance of the CHU-9D and EQ-5D-Y—the WAVES Pilot Study
Auteurs
Alastair G. Canaway
Emma J. Frew
Publicatiedatum
01-02-2013
Uitgeverij
Springer Netherlands
Gepubliceerd in
Quality of Life Research / Uitgave 1/2013
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-012-0119-5

Andere artikelen Uitgave 1/2013

Quality of Life Research 1/2013 Naar de uitgave

OriginalPaper

The health-related quality of life burden of co-morbid cardiovascular disease and major depressive disorder in Australia: findings from a population-based, cross-sectional study

OriginalPaper

Missing content from health-related quality of life instruments: interviews with young adult survivors of childhood cancer

OriginalPaper

Construct validity of the EORTC quality of life questionnaire information module

OriginalPaper

Estimating utilities for chronic kidney disease, using SF-36 and SF-12-based measures: challenges in a population of veterans with diabetes

OriginalPaper

Quality-adjusted life expectancy (QALE) loss due to smoking in the United States

OriginalPaper

Subjective wellbeing and ‘felt’ stigma when living with HIV