Literature DB >> 22750348

Item hierarchy of the Chinese version of cerebral palsy quality of life for children.

Ka-Lam Sam1, Hui-Yi Wang, Chunxiao Li, Sing Kai Lo.   

Abstract

BACKGROUND: The Chinese Cerebral Palsy Quality of Life for Children (C CP QOL-Child) is the first instrument developed to measure quality of life of (QOL) children with cerebral palsy in Chinese speaking populations.
OBJECTIVE: The aim of the study was to examine the psychometric properties of C CP QOL-Child using Item Response Theory Models. We were particularly interested to know how intervention strategies could be designed for individuals based on the item scores.
METHODS: 145 primary caregivers (mostly mothers; mean age: 39.2) of children with cerebral palsy aged 4-12 were invited to complete the 65-item C CP QOL-Child questionnaire. Data were analyzed using Rasch analysis.
RESULTS: Item difficulty estimates were aligned with person ability values, indicating that the items in the scale generally demonstrated an appropriate depth and width for measuring QOL of persons in the target population. The results also showed that after dropping the 8 items in the dimension pain and impact of disability in the 65-item scale, the revised 57-item scale exhibits unidimensionality (separation index = 4.43, r = 0.95); hence the total score computed from the 57 items adequately reflects the level of QOL of the child as perceived by the caregiver. We further found that the Rasch item difficulty estimates demonstrated an overall item hierarchy; hence therapists can expect a pattern of performance by a child with CP that is based on the established order of item difficulty.
CONCLUSIONS: The hierarchical structure identified in the study may be useful for designing tailor-made interventions with an aim of improving QOL.
Copyright © 2012 European Paediatric Neurology Society. All rights reserved.

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Year:  2012        PMID: 22750348     DOI: 10.1016/j.ejpn.2012.06.001

Source DB:  PubMed          Journal:  Eur J Paediatr Neurol        ISSN: 1090-3798            Impact factor:   3.140


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  3 in total

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