Health-related Quality of Life and Upper Limb Impairment in Children with Cerebral Palsy: Comparing and Mapping CPQoL-Child and CHU9D

Tonmukayakul, U; Imms, C; Mihalopoulos, C; Reddihough, D; Carter, R; Mulhern, B; Chen, G

Health-related Quality of Life and Upper Limb Impairment in Children with Cerebral Palsy: Comparing and Mapping CPQoL-Child and CHU9D

Tonmukayakul, U Imms, C Mihalopoulos, C Reddihough, D Carter, R Mulhern, B

Chen, G

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Publisher:: Wiley
Publication Type:: Journal Article
Citation:: Developmental Medicine and Child Neurology, 2020, 62, (7), pp. 854-860
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Tonmukayakul, U
dc.contributor.author	Imms, C
dc.contributor.author	Mihalopoulos, C
dc.contributor.author	Reddihough, D
dc.contributor.author	Carter, R
dc.contributor.author	Mulhern, B https://orcid.org/0000-0003-3656-8063
dc.contributor.author	Chen, G
dc.date.accessioned	2020-10-03T00:31:34Z
dc.date.available	2019-12-24
dc.date.available	2020-10-03T00:31:34Z
dc.date.issued	2020
dc.identifier.citation	Developmental Medicine and Child Neurology, 2020, 62, (7), pp. 854-860
dc.identifier.issn	0012-1622
dc.identifier.issn	1469-8749
dc.identifier.uri	http://hdl.handle.net/10453/143042
dc.description.abstract	Aim To: (1) investigate the relationship between upper‐limb impairment and health‐related quality of life (HRQoL) for children with cerebral palsy and (2) develop a mapping algorithm from the Cerebral Palsy Quality of Life Questionnaire for Children (CPQoL‐Child) onto the Child Health Utility 9D (CHU9D) measure. Method The associations between physical and upper‐limb classifications and HRQoL of 76 children (40 females, 36 males) aged 6 to 15 years (mean age 9 years 7 months [SD 3y]) were assessed. Five statistical techniques were developed and tested, which predicted the CHU9D scores from the CPQoL‐Child total/domain scores, age, and sex. Results Most participants had mild impairments. The Manual Ability Classification System (MACS) level was significantly negatively correlated with CHU9D and CPQoL‐Child (r=−0.388 and r=−0.464 respectively). There was a negative correlation between the Neurological Hand Deformity Classification (NHDC) and CPQoL‐Child (r=−0.476, p<0.05). The generalized linear model with participation, pain domain, and age had the highest predictive accuracy. Interpretation The weak negative correlations between classification levels and HRQoL measures may be explained by the restricted range of impairment levels of the participants. The MACS and NHDC explained the impact of upper‐limb impairment on HRQoL better than the other classifications. The generalized linear model with participation, pain, and age is the suggested mapping algorithm. The suggested mapping algorithm will facilitate the use of CPQoL‐Child for economic evaluation and can be used to conduct cost–utility analyses. What this paper adds The Manual Ability Classification System and Neurological Hand Deformity Classification were the best predictors of health‐related quality of life measures. Age and Cerebral Palsy Quality of Life Questionnaire for Children participation and pain domain scores can predict Child Health Utility 9D scores.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Wiley
dc.relation.ispartof	Developmental Medicine and Child Neurology
dc.relation.isbasedon	10.1111/dmcn.14488
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	11 Medical and Health Sciences
dc.subject.classification	Pediatrics
dc.title	Health-related Quality of Life and Upper Limb Impairment in Children with Cerebral Palsy: Comparing and Mapping CPQoL-Child and CHU9D
dc.type	Journal Article
utslib.citation.volume	62
utslib.location.activity	England
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-10-03T00:31:10Z
pubs.issue	7
pubs.publication-status	Published
pubs.volume	62
utslib.start-page	854
utslib.citation.issue	7

Abstract:

Aim To: (1) investigate the relationship between upper‐limb impairment and health‐related quality of life (HRQoL) for children with cerebral palsy and (2) develop a mapping algorithm from the Cerebral Palsy Quality of Life Questionnaire for Children (CPQoL‐Child) onto the Child Health Utility 9D (CHU9D) measure. Method The associations between physical and upper‐limb classifications and HRQoL of 76 children (40 females, 36 males) aged 6 to 15 years (mean age 9 years 7 months [SD 3y]) were assessed. Five statistical techniques were developed and tested, which predicted the CHU9D scores from the CPQoL‐Child total/domain scores, age, and sex. Results Most participants had mild impairments. The Manual Ability Classification System (MACS) level was significantly negatively correlated with CHU9D and CPQoL‐Child (r=−0.388 and r=−0.464 respectively). There was a negative correlation between the Neurological Hand Deformity Classification (NHDC) and CPQoL‐Child (r=−0.476, p<0.05). The generalized linear model with participation, pain domain, and age had the highest predictive accuracy. Interpretation The weak negative correlations between classification levels and HRQoL measures may be explained by the restricted range of impairment levels of the participants. The MACS and NHDC explained the impact of upper‐limb impairment on HRQoL better than the other classifications. The generalized linear model with participation, pain, and age is the suggested mapping algorithm. The suggested mapping algorithm will facilitate the use of CPQoL‐Child for economic evaluation and can be used to conduct cost–utility analyses. What this paper adds The Manual Ability Classification System and Neurological Hand Deformity Classification were the best predictors of health‐related quality of life measures. Age and Cerebral Palsy Quality of Life Questionnaire for Children participation and pain domain scores can predict Child Health Utility 9D scores.

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http://hdl.handle.net/10453/143042