Physical & occupational therapy in pediatrics · 2012
Reliable classification of functional profiles and movement disorders of children with cerebral palsy.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Randall Melinda, Harvey Adrienne, Imms Christine, Reid Sue, Lee Katherine J, Reddihough Dinah
Аннотация
OBJECTIVE: To examine the inter-rater reliability of the Communication Function Classification System (CFCS), Bimanual Fine Motor Function (BFMF), Surveillance of Cerebral Palsy in Europe (SCPE) classification tree, and Gross Motor Function Classification System (GMFCS) in children with cerebral palsy (CP) and periventricular white matter injury (PWMI) aged 4-11 years.
METHOD: Twenty children were assessed by two raters using the four tools, in addition parents undertook ratings on the Manual Ability Classification System (MACS). Kappa statistics were used to calculate the level of agreement between raters' classifications.
RESULTS: Participants comprised 12 males and 8 females with CP and PWMI, mean age 8 years 1 month (standard deviation 2 years 3 months). Inter-rater reliability across the four tools was 0.98 (CFCS, BFMF, and GMFCS) and 0.84 (SCPE).
IMPLICATIONS: These findings suggest that these four tools are reasonably robust to inter-rater variability supporting their routine use along with the MACS in clinical and research applications.
METHOD: Twenty children were assessed by two raters using the four tools, in addition parents undertook ratings on the Manual Ability Classification System (MACS). Kappa statistics were used to calculate the level of agreement between raters' classifications.
RESULTS: Participants comprised 12 males and 8 females with CP and PWMI, mean age 8 years 1 month (standard deviation 2 years 3 months). Inter-rater reliability across the four tools was 0.98 (CFCS, BFMF, and GMFCS) and 0.84 (SCPE).
IMPLICATIONS: These findings suggest that these four tools are reasonably robust to inter-rater variability supporting their routine use along with the MACS in clinical and research applications.