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Objective: This study examines the psychometric properties of the Child Health Utility 9D (CHU9D) proxy version administered to parents/caregivers of 2-4-year-old Australian children compared with Pediatric Quality of Life Inventory™ version 4.0 (PedsQL).

Methods: Data collected in 2021/2022 from parents/caregivers of 2-4-year-olds from the Australian pediatric multi-instrument comparison study were used. Feasibility, ceiling/floor effects, test-retest reliability, convergent validity, known-group validity, and responsiveness were assessed.

Results: A total of 842 caregivers completed the survey at baseline, with 513 completing the follow-up survey. The CHU9D did not demonstrate ceiling effects in the sample with special health care needs, with only 6% of respondents reporting best levels for all nine dimensions. CHU9D correlated with PedsQL moderately-to-strongly between comparable items (correlation coefficients 0.34-0.70). CHU9D was able to differentiate between groups with known health differences with moderate-to-large effect sizes (Cohen's d 0.58-2.03). Moderate test-retest reliability was found for CHU9D in those reporting no health change at a 2-day follow-up (ICC 0.52). A standard response mean (SRM) of 0.25-0.44 was found for children with changes in general health and a SRM of 0.72-0.82 for children who reported worsened health when developing new illnesses, indicating small-to-large responsiveness according to different definitions of health changes. Compared with PedsQL, CHU9D had similar known-group validity and responsiveness and slightly poorer test-retest reliability.

Conclusion: The CHU9D was found to be valid and reliable to measure health-related quality-of-life in children aged 2-4 years, although with relatively low test-retest reliability in some dimensions. Further development and validation work is warranted.

Titel:	Psychometric Properties of Child Health Utility 9D (CHU9D) Proxy Version Administered to Parents and Caregivers of Children Aged 2-4 Years Compared with Pediatric Quality of Life Inventory™ (PedsQL).
Autor/in / Beteiligte Person:	Xiong, X ; Carvalho, N ; Huang, L ; Chen, G ; Jones, R ; Devlin, N ; Mulhern, B ; Dalziel, K
Link:	Full Text Finder (Volltext)
Zeitschrift:	PharmacoEconomics, Jg. 42 (2024-06-01), Heft Suppl 1, S. 147-161
Veröffentlichung:	Auckland : Adis, Springer International ; <i>Original Publication</i>: Auckland ; Philadelphia : Adis International, c1992-, 2024
Medientyp:	academicJournal
ISSN:	1179-2027 (electronic)
DOI:	10.1007/s40273-024-01355-1
Schlagwort:	Humans Child, Preschool Female Male Reproducibility of Results Australia Surveys and Questionnaires Health Status Quality of Life Psychometrics Caregivers psychology Parents Child Health
Sonstiges:	Nachgewiesen in: MEDLINE Sprachen: English Publication Type: Journal Article; Comparative Study Language: English [Pharmacoeconomics] 2024 Jun; Vol. 42 (Suppl 1), pp. 147-161. <i>Date of Electronic Publication: </i>2024 Jan 27. MeSH Terms: Quality of Life* ; Psychometrics* ; Caregivers* / psychology ; Parents* ; Child Health* ; Humans ; Child, Preschool ; Female ; Male ; Reproducibility of Results ; Australia ; Surveys and Questionnaires ; Health Status References: Epidemiology. 1996 Mar;7(2):199-202. (PMID: 8834562) ; Emerg Med Australas. 2015 Apr;27(2):102-7. (PMID: 25690308) ; Value Health. 2023 Feb;26(2):251-260. (PMID: 36031479) ; Qual Life Res. 2012 Oct;21(8):1315-25. (PMID: 22038397) ; Appl Health Econ Health Policy. 2011 May 1;9(3):157-69. (PMID: 21506622) ; Qual Life Res. 2013 Feb;22(1):173-83. (PMID: 22302618) ; Children (Basel). 2021 Aug 20;8(8):. (PMID: 34438605) ; Acad Pediatr. 2020 Nov - Dec;20(8):1109-1115. (PMID: 31981656) ; Qual Life Res. 2015 Oct;24(10):2519-39. (PMID: 25894060) ; Health Qual Life Outcomes. 2006 Aug 30;4:58. (PMID: 16942613) ; J Clin Epidemiol. 1989;42(5):459-71. (PMID: 2732774) ; J Biomed Inform. 2019 Jul;95:103208. (PMID: 31078660) ; Value Health. 2018 Nov;21(11):1291-1298. (PMID: 30442276) ; Pharmacoeconomics. 2020 Apr;38(4):325-340. (PMID: 31903522) ; J Child Health Care. 2012 Dec;16(4):331-8. (PMID: 23248332) ; Qual Life Res. 2010 Aug;19(6):887-97. (PMID: 20401552) ; Med Care. 2001 Aug;39(8):800-12. (PMID: 11468499) ; BMJ Open. 2018 Dec 18;8(12):e022449. (PMID: 30567820) ; Am J Med. 2006 Feb;119(2):166.e7-16. (PMID: 16443422) ; Patient. 2018 Feb;11(1):29-37. (PMID: 28681319) ; J Chiropr Med. 2016 Jun;15(2):155-63. (PMID: 27330520) ; Int J Prev Med. 2012 May;3(5):341-50. (PMID: 22701775) ; Expert Rev Pharmacoecon Outcomes Res. 2013 Aug;13(4):417-9. (PMID: 23977967) ; Value Health. 2012 Dec;15(8):1092-9. (PMID: 23244812) ; Qual Health Res. 2010 Mar;20(3):340-51. (PMID: 20054040) ; Health Qual Life Outcomes. 2019 Dec 23;17(1):187. (PMID: 31870369) ; Expert Rev Pharmacoecon Outcomes Res. 2016 Oct;16(5):599-607. (PMID: 27659998) ; Clin Exp Pharmacol Physiol. 2013 Jun;40(6):357-61. (PMID: 23551169) ; Value Health. 2008 Jul-Aug;11(4):742-64. (PMID: 18179668) ; J Allergy Clin Immunol Pract. 2021 Jul;9(7):2876-2884.e4. (PMID: 33744474) ; Value Health. 2022 Apr;25(4):525-533. (PMID: 35365299) ; Phys Ther. 2005 Mar;85(3):257-68. (PMID: 15733050) ; Health Qual Life Outcomes. 2003 Dec 22;1:81. (PMID: 14690543) ; Value Health Reg Issues. 2023 May;35:78-86. (PMID: 36905789) ; Shanghai Arch Psychiatry. 2017 Jun 25;29(3):184-188. (PMID: 28904516) ; Health Qual Life Outcomes. 2020 Jan 14;18(1):11. (PMID: 31937311) ; Qual Life Res. 2021 Jun;30(6):1747-1756. (PMID: 33582966) ; Appl Health Econ Health Policy. 2023 Jul;21(4):559-584. (PMID: 37133712) ; J Clin Epidemiol. 2007 Jan;60(1):34-42. (PMID: 17161752) ; Qual Life Res. 2012 May;21(4):717-25. (PMID: 21837445) ; Pharmacoeconomics. 2020 May;38(5):499-513. (PMID: 31974830) ; Pharmacoeconomics. 2012 Aug 1;30(8):729-47. (PMID: 22788262) ; Pharmacoeconomics. 2022 Apr;40(4):379-431. (PMID: 35072935) ; J Clin Epidemiol. 2000 May;53(5):459-68. (PMID: 10812317) ; BMC Pediatr. 2015 Dec 16;15:211. (PMID: 26671226) ; Pharmacoeconomics. 2012 Aug 1;30(8):713-27. (PMID: 22788261) ; Qual Life Res. 2018 Jul;27(7):1921-1931. (PMID: 29730851) ; Ambul Pediatr. 2003 Nov-Dec;3(6):329-41. (PMID: 14616041) ; Qual Life Res. 2018 Jul;27(7):1769-1780. (PMID: 29564713) ; Qual Life Res. 2005 Feb;14(1):243-57. (PMID: 15789958) ; Front Psychol. 2013 Nov 26;4:863. (PMID: 24324449) ; Vaccine. 2022 Feb 11;40(7):1010-1018. (PMID: 35039195) ; Qual Life Res. 2019 Jul;28(7):1705-1724. (PMID: 30783876) ; Biometrics. 1977 Mar;33(1):159-74. (PMID: 843571) ; Qual Life Res. 2013 Aug;22(6):1177-87. (PMID: 22983780) ; J Patient Rep Outcomes. 2020 Nov 9;4(1):94. (PMID: 33165662) ; Acta Ophthalmol. 2019 May;97(3):e419-e425. (PMID: 30345728) ; Psychol Bull. 1992 Jul;112(1):155-9. (PMID: 19565683) Grant Information: 201906010310 China Scholarship Council; MRF1200816 Australian Government Medical Research Futures Fund; 361-RA EuroQol Research Foundation; 330-PhD EuroQol Research Foundation Entry Date(s): Date Created: 20240127 Date Completed: 20240612 Latest Revision: 20240615 Update Code: 20240615 PubMed Central ID: PMC11169045

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Psychometric Properties of Child Health Utility 9D (CHU9D) Proxy Version Administered to Parents and Caregivers of Children Aged 2-4 Years Compared with Pediatric Quality of Life Inventory™ (PedsQL).