Reliable classification of functional profiles and movement disorders of children with cerebral palsy

Melinda Randall1, Adrienne Harvey, Christine Imms

  • 1Department of Developmental Medicine, The Royal Children's Hospital and Murdoch Children's Research Institute, Melbourne, Australia. melinda.randall@rch.org.au

Insights

The Communication Function Classification System (CFCS), Bimanual Fine Motor Function (BFMF), Surveillance of Cerebral Palsy in Europe (SCPE), and Gross Motor Function Classification System (GMFCS) show high inter-rater reliability. These tools are reliable for clinical and research use in children with cerebral palsy.

Area of Science:

  • Pediatric Neurology
  • Rehabilitation Medicine
  • Developmental Pediatrics

Background:

  • Cerebral palsy (CP) and periventricular white matter injury (PWMI) impact motor and communication functions in children.
  • Standardized classification systems are crucial for consistent assessment and management of CP.
  • Evaluating the reliability of these tools is essential for their valid application.

Purpose of the Study:

  • To assess the inter-rater reliability of four key classification systems: CFCS, BFMF, SCPE, and GMFCS.
  • To determine the consistency of classifications made by different raters for children with CP and PWMI.
  • To support the routine clinical and research application of these tools.

Main Methods:

  • Twenty children (aged 4-11 years) with CP and PWMI participated.
  • Two independent raters assessed each child using CFCS, BFMF, SCPE, and GMFCS.
  • Kappa statistics were employed to quantify inter-rater agreement.

Main Results:

  • High inter-rater reliability was observed for CFCS, BFMF, and GMFCS (Kappa = 0.98).
  • The SCPE classification tree demonstrated good inter-rater reliability (Kappa = 0.84).
  • Parental ratings on the Manual Ability Classification System (MACS) were also collected.

Conclusions:

  • The studied classification systems (CFCS, BFMF, SCPE, GMFCS) exhibit robust inter-rater reliability.
  • These findings support the consistent use of these tools in clinical practice and research settings.
  • The reliability of these systems, alongside MACS, aids in standardized patient assessment and outcome tracking.
Abstract

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