Literature DB >> 23244812

Measuring and valuing health benefits for economic evaluation in adolescence: an assessment of the practicality and validity of the child health utility 9D in the Australian adolescent population.

Katherine Stevens1, Julie Ratcliffe.   

Abstract

OBJECTIVES: The Child Health Utility 9D (CHU9D) is a new generic preference-based measure of health-related quality of life developed for children aged 7 to 11 years. There is increasing interest in its potential for application in adolescents, and previous research has demonstrated that it shows good construct validity here. This article further examines its practicality and validity in adolescents by comparing it with KIDSCREEN-10, a short generic measure for assessing children and adolescents' health-related quality of life and well-being.
METHODS: A Web-based survey, including the CHU9D, a general health question, questions on the presence of long-standing illness, disability, or medical conditions, sociodemographic variables, and KIDSCREEN-10, was administered to 961 consenting adolescents. The practicality and face and construct validity of the CHU9D were examined, and the CHU9D and KIDSCREEN-10 were compared in terms of their coverage, correlations between dimensions, and overall scores.
RESULTS: Both measures demonstrated good practicality and validity. The strongest degree of correlation was found with the only dimension in common for the CHU9D and KIDSCREEN (sad). The lowest correlations were found between all the CHU9D dimensions and the "have you had enough time for yourself" dimension of KIDSCREEN-10.
CONCLUSIONS: The findings from this study provide further support for the practicality and validity of the application of the CHU9D in the economic evaluation of adolescent health care and public health programs. Further research to test the psychometric performance of the CHU9D in more diverse clinical samples of adolescents is desirable including tests of reliability.
Copyright © 2012 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23244812     DOI: 10.1016/j.jval.2012.07.011

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


  55 in total

1.  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

2.  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

3.  A review of preference-based measures for the assessment of quality of life in children and adolescents with cerebral palsy.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Elisabeth Huynh; Remo Russo; Julie Ratcliffe
Journal:  Qual Life Res       Date:  2018-03-22       Impact factor: 4.147

4.  Mapping the PedsQL™ onto the CHU9D: An Assessment of External Validity in a Large Community-Based Sample.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Elisabeth Huynh; Remo Russo; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2019-09       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.  Mapping the Paediatric Quality of Life Inventory (PedsQL™) Generic Core Scales onto the Child Health Utility Index-9 Dimension (CHU-9D) Score for Economic Evaluation in Children.

Authors:  Tosin Lambe; Emma Frew; Natalie J Ives; Rebecca L Woolley; Carole Cummins; Elizabeth A Brettell; Emma N Barsoum; Nicholas J A Webb
Journal:  Pharmacoeconomics       Date:  2018-04       Impact factor: 4.981

7.  Developing adolescent-specific health state values for economic evaluation: an application of profile case best-worst scaling to the Child Health Utility 9D.

Authors:  Julie Ratcliffe; Terry Flynn; Frances Terlich; Katherine Stevens; John Brazier; Michael Sawyer
Journal:  Pharmacoeconomics       Date:  2012-08-01       Impact factor: 4.981

Review 8.  A Review of the Development and Application of Generic Multi-Attribute Utility Instruments for Paediatric Populations.

Authors:  Gang Chen; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2015-10       Impact factor: 4.981

9.  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

10.  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

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