Karin Dam Petersen1, Gang Chen2,3, Christine Mpundu-Kaambwa4, Katherine Stevens5, John Brazier5, Julie Ratcliffe4. 1. Department of Business and Management, Faculty of Social Sciences, Aalborg University, Aalborg East, Denmark. 2. Centre for Health Economics, Monash Business School, Monash University, 15 Innovation Way, Clayton, VIC, 3800, Australia. gang.chen@monash.edu. 3. Flinders Centre for Innovation in Cancer, School of Medicine, Flinders University, Adelaide, Australia. gang.chen@monash.edu. 4. Institute for Choice, University of South Australia Business School, Adelaide, Australia. 5. Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, United Kingdom.
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.
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.
Authors: Julie Ratcliffe; Gang Chen; Katherine Stevens; Sandra Bradley; Leah Couzner; John Brazier; Michael Sawyer; Rachel Roberts; Elisabeth Huynh; Terry Flynn Journal: Appl Health Econ Health Policy Date: 2015-10 Impact factor: 2.561
Authors: Gang Chen; Fei Xu; Elisabeth Huynh; Zhiyong Wang; Katherine Stevens; Julie Ratcliffe Journal: Qual Life Res Date: 2018-10-29 Impact factor: 4.147
Authors: Karin Dam Petersen; Julie Ratcliffe; Gang Chen; Dorthe Serles; Christine Stampe Frøsig; Anne Vingaard Olesen Journal: Health Qual Life Outcomes Date: 2019-12-23 Impact factor: 3.186