Literature DB >> 26091597

Assessing the Health-Related Quality of Life of Australian Adolescents: An Empirical Comparison of the Child Health Utility 9D and EQ-5D-Y Instruments.

Gang Chen1, Terry Flynn2, Katherine Stevens3, John Brazier3, Elisabeth Huynh4, Michael Sawyer5, Rachel Roberts6, Julie Ratcliffe7.   

Abstract

OBJECTIVES: To examine the performance of two recently developed preference-based instruments-the Child Health Utility 9D (CHU9D) and the EuroQol five-dimensional questionnaire Youth version (EQ-5D-Y)-in assessing the health-related quality of life (HRQOL) of Australian adolescents.
METHODS: An online survey including the CHU9D and the EQ-5D-Y, self-reported health status, and a series of sociodemographic questions was developed for administration to a community-based sample of adolescents (aged 11-17 years). Individual responses to both instruments were translated into utilities using scoring algorithms derived from the Australian adult general population.
RESULTS: A total of 2020 adolescents completed the online survey. The mean ± SD utilities of the CHU9D and the EQ-5D-Y were very similar (0.82 ± 0.13 and 0.83 ± 0.19, respectively), and the intraclass correlation coefficient (0.80) suggested good levels of agreement. Both instruments were able to discriminate according to varying levels of self-reported health status (P < 0.001). Although exhibiting good levels of agreement overall, some wide divergences were apparent at an individual level.
CONCLUSIONS: The study results are encouraging and illustrate the potential for both the CHU9D and the EQ-5D-Y to be more widely used for measuring and valuing the HRQOL of adolescent populations in Australia and internationally. Generating adolescent-specific scoring algorithms pertaining to each instrument and an empirical comparison of the resulting utilities is a natural next step. More evidence is required from the application of the CHU9D and the EQ-5D-Y in specific patient groups in adolescent health settings to inform the choice of instrument for measuring and valuing the HRQOL for the economic evaluation of adolescent health care treatments and services.
Copyright © 2015 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CHU9D; EQ-5D-Y; adolescent; health-related quality of life

Mesh:

Year:  2015        PMID: 26091597     DOI: 10.1016/j.jval.2015.02.014

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  27 in total

1.  Health state utility instruments compared: inquiring into nonlinearity across EQ-5D-5L, SF-6D, HUI-3 and 15D.

Authors:  Thor Gamst-Klaussen; Gang Chen; Admassu N Lamu; Jan Abel Olsen
Journal:  Qual Life Res       Date:  2015-12-21       Impact factor: 4.147

2.  Predictors of self-reported health-related quality of life according to the EQ-5D-Y in chronically ill children and adolescents with asthma, diabetes, and juvenile arthritis: longitudinal results.

Authors:  Christiane Otto; Dana Barthel; Fionna Klasen; Sandra Nolte; Matthias Rose; Ann-Katrin Meyrose; Marcus Klein; Ute Thyen; Ulrike Ravens-Sieberer
Journal:  Qual Life Res       Date:  2017-11-30       Impact factor: 4.147

3.  Measuring Health-Related Quality of Life in Adolescent Populations: An Empirical Comparison of the CHU9D and the PedsQLTM 4.0 Short Form 15.

Authors:  Karin Dam Petersen; Gang Chen; Christine Mpundu-Kaambwa; Katherine Stevens; John Brazier; Julie Ratcliffe
Journal:  Patient       Date:  2018-02       Impact factor: 3.883

4.  Mapping CHU9D Utility Scores from the PedsQLTM 4.0 SF-15.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Remo Russo; Katherine Stevens; Karin Dam Petersen; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2017-04       Impact factor: 4.981

5.  Psychometric evaluation of the Chinese version of the Child Health Utility 9D (CHU9D-CHN): a school-based study in China.

Authors:  Peirong Yang; Gang Chen; Peng Wang; Kejian Zhang; Feng Deng; Haifeng Yang; Guihua Zhuang
Journal:  Qual Life Res       Date:  2018-05-05       Impact factor: 4.147

6.  An intervention to improve the quality of life in children of parents with serious mental illness: the Young SMILES feasibility RCT.

Authors:  Kathryn M Abel; Penny Bee; Lina Gega; Judith Gellatly; Adekeye Kolade; Diane Hunter; Craig Callender; Lesley-Anne Carter; Rachel Meacock; Peter Bower; Nicky Stanley; Rachel Calam; Miranda Wolpert; Paul Stewart; Richard Emsley; Kim Holt; Holly Linklater; Simon Douglas; Bryony Stokes-Crossley; Jonathan Green
Journal:  Health Technol Assess       Date:  2020-11       Impact factor: 4.014

7.  Mapping PedsQLTM scores onto CHU9D utility scores: estimation, validation and a comparison of alternative instrument versions.

Authors:  Rohan Sweeney; Gang Chen; Lisa Gold; Fiona Mensah; Melissa Wake
Journal:  Qual Life Res       Date:  2019-11-19       Impact factor: 4.147

8.  Scoring the Child Health Utility 9D instrument: estimation of a Chinese child and adolescent-specific tariff.

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

9.  Australian adolescent population norms for the child health utility index 9D-results from the young minds matter survey.

Authors:  Long Khanh-Dao Le; Scott Richards-Jones; Mary Lou Chatterton; Lidia Engel; David Lawrence; Chris Stevenson; Genevieve Pepin; Julie Ratcliffe; Michael Sawyer; Cathrine Mihalopoulos
Journal:  Qual Life Res       Date:  2021-05-17       Impact factor: 4.147

10.  The longitudinal validity of proxy-reported CHU9D.

Authors:  Rasmus Trap Wolf; Julie Ratcliffe; Gang Chen; Pia Jeppesen
Journal:  Qual Life Res       Date:  2021-02-13       Impact factor: 4.147

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