Literature DB >> 29730851

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

Peirong Yang1,2, Gang Chen3, Peng Wang4, Kejian Zhang2, Feng Deng2, Haifeng Yang2, Guihua Zhuang5.   

Abstract

PURPOSE: The Child Health Utility 9D (CHU9D), a new generic preference-based health-related quality of life (HRQoL) instrument, was developed specifically for the application in cost-effectiveness analyses of treatments and interventions for children and adolescents. The main objective of this study was to examine the psychometric property of the Chinese version of CHU9D (CHU9D-CHN) in a large school-based sample in China.
METHODS: Data were collected using a multi-stage sampling method from third-to-ninth-grade students in Shaanxi Province, China. Participants self-completed a hard-copy questionnaire including the CHU9D-CHN instrument, the Pediatric Quality of Life Inventory™ 4.0 Generic Core Scales (PedsQL), information on socio-demographic characteristics and self-reported health status. The psychometric properties of the CHU9D-CHN, including the internal consistency, 2-week test-retest reliability, convergent and known-groups validity were studied.
RESULTS: A total of 1912 students participated in the survey. The CHU9D-CHN internal consistency and test-retest reliability were good to excellent with a Cronbach's alpha of 0.77 and an intra-class correlation coefficient of 0.65, respectively. The CHU9D utility scores moderately correlated with the PedsQL total scores (r = .57, P < .001), demonstrating good convergent validity. Difference of the CHU9D utility scores among the different participants with levels of self-reported general health, health services utilisation and left-behind status demonstrated good construct validity.
CONCLUSION: The findings demonstrated adequate psychometric performance for the CHU9D-CHN. The CHU9D-CHN was a satisfactory, reliable and valid instrument to measure and value HRQoL for children and adolescents in China.

Entities:  

Keywords:  Adolescents; CHU9D; Children; China; Health-related quality of life; Utility

Mesh:

Year:  2018        PMID: 29730851     DOI: 10.1007/s11136-018-1864-x

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  34 in total

Review 1.  The long-term cost-effectiveness of obesity prevention interventions: systematic literature review.

Authors:  T Lehnert; D Sonntag; A Konnopka; S Riedel-Heller; H-H König
Journal:  Obes Rev       Date:  2012-01-17       Impact factor: 9.213

2.  Adolescent health: an opportunity not to be missed.

Authors:  Sabine Kleinert
Journal:  Lancet       Date:  2007-03-31       Impact factor: 79.321

3.  Working with children to develop dimensions for a preference-based, generic, pediatric, health-related quality-of-life measure.

Authors:  Katherine J Stevens
Journal:  Qual Health Res       Date:  2010-01-06

4.  Validation of the EQ-5D in a general population sample in urban China.

Authors:  Hong-Mei Wang; Donald L Patrick; Todd C Edwards; Anne M Skalicky; Hai-Yan Zeng; Wen-Wen Gu
Journal:  Qual Life Res       Date:  2011-04-20       Impact factor: 4.147

5.  The use of quality of life data in clinical practice.

Authors:  J Morris; D Perez; B McNoe
Journal:  Qual Life Res       Date:  1998-01       Impact factor: 4.147

6.  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

Review 7.  Systematic review and meta-analysis found higher levels of behavioural problems in male left-behind children aged 6-11 years.

Authors:  Guang-Bo Qu; Wei Wu; Ling-Ling Wang; Xue Tang; Ye-Huan Sun; Jie Li; Jun Wang
Journal:  Acta Paediatr       Date:  2018-01-18       Impact factor: 2.299

8.  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

9.  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.

Authors:  Katherine Stevens; Julie Ratcliffe
Journal:  Value Health       Date:  2012-10-25       Impact factor: 5.725

10.  Developing a descriptive system for a new preference-based measure of health-related quality of life for children.

Authors:  Katherine Stevens
Journal:  Qual Life Res       Date:  2009-08-20       Impact factor: 4.147

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  4 in total

1.  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

2.  The construct validity of the Child Health Utility 9D-DK instrument.

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

3.  Long-Term Follow-Up of a Randomized Controlled Trial to Reduce Excessive Weight Gain in Infancy: Protocol for the Prevention of Overweight in Infancy (POI) Follow-Up Study at 11 Years.

Authors:  Taiwo O Adebowale; Barry J Taylor; Andrew R Gray; Barbara C Galland; Anne-Louise M Heath; Sarah Fortune; Kim A Meredith-Jones; Trudy Sullivan; Deborah McIntosh; Bradley Brosnan; Rachael W Taylor
Journal:  JMIR Res Protoc       Date:  2020-11-30

4.  Adolescent anxiety and depression: burden of disease study in 53,894 secondary school pupils in the Netherlands.

Authors:  Leonie Klaufus; Eva Verlinden; Marcel van der Wal; Pim Cuijpers; Mai Chinapaw; Filip Smit
Journal:  BMC Psychiatry       Date:  2022-03-30       Impact factor: 3.630

  4 in total

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