Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/114888
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Type: Journal article
Title: Measuring health-related quality of life in adolescent populations: an empirical comparison of the CHU9D and the PedsQL™ 4.0 short form 15
Other Titles: Measuring health-related quality of life in adolescent populations: an empirical comparison of the CHU9D and the PedsQL(TM) 4.0 short form 15
Author: Petersen, K.
Chen, G.
Mpundu-Kaambwa, C.
Stevens, K.
Brazier, J.
Ratcliffe, J.
Citation: The Patient: Patient Centered Outcomes Research, 2018; 11(1):29-37
Publisher: Springer International Publishing
Issue Date: 2018
ISSN: 1178-1653
1178-1661
Statement of
Responsibility: 
Karin Dam Petersen, Gang Chen, Christine Mpundu-Kaambwa, Katherine Stevens, John Brazier, Julie Ratcliffe
Abstract: Objective: The aim was to conduct an empirical assessment of the measurement properties of the preference-based Child Health Utility 9D (CHU9D) versus the non-preference-based Pediatric Quality of Life Inventory (PedsQL)™ 4.0 Short Form 15 Generic Core Scales (referred to as ‘PedsQL’) in an Australian community-based sample of adolescents. Methods: An online survey including the CHU9D, the PedsQL, a self-reported general health question, and socio-demographic questions was administered to adolescents (aged 15–17 years). Descriptive summary statistics and psychometric analyses were conducted to assess levels of agreement and convergent validity between the instruments. Results: A total of 775 adolescents (mean ± SD age 15.8 ± 0.8 years) completed the survey. The mean ± SD scores of the CHU9D and the PedsQL were 0.72 ± 0.22 and 72.86 ± 16.56, respectively. For both instruments, there were significant differences in health-related quality of life scores according to self-reported health status and socio-economic status. Overall, both the Spearman’s correlation (r = 0.63) and the intraclass correlation coefficient (0.77) suggested a high level of agreement. Conclusions: The findings indicate good levels of agreement overall between the CHU9D and PedsQL and provide further support for the validity of the application of the CHU9D in the economic evaluation of adolescent health care treatment and service programmes.
Keywords: Humans
Reproducibility of Results
Psychometrics
Health Status
Quality of Life
Socioeconomic Factors
Internet
Adolescent
Australia
Female
Male
Self Report
Surveys and Questionnaires
Description: Published online: 5 July 2017
Rights: © Springer International Publishing AG 2017
DOI: 10.1007/s40271-017-0265-5
Grant ID: http://purl.org/au-research/grants/nhmrc/1021899
Published version: http://dx.doi.org/10.1007/s40271-017-0265-5
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Public Health publications

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