Clinician agreement on gait pattern ratings in children with spastic hemiplegia

F Dobson1, M E Morris, R Baker

  • 1The University of Melbourne, Australia. fionadobson@aanet.com.au

Insights

Clinician agreement on spastic hemiplegia gait patterns is acceptable using the Winters, Gage, and Hicks (WGH) scale. Combining 3D gait analysis reports and videos improves rating accuracy, though the WGH scale needs refinement.

Area of Science:

  • Orthopedics
  • Pediatrics
  • Rehabilitation Medicine

Background:

  • Spastic hemiplegia significantly impacts children's gait patterns.
  • Accurate classification of gait deviations is crucial for effective treatment planning.
  • The Winters, Gage, and Hicks (WGH) scale is a tool used for classifying these gait patterns.

Purpose of the Study:

  • To assess the inter-rater reliability of the Winters, Gage, and Hicks (WGH) classification scale for gait patterns in children with spastic hemiplegia.
  • To compare clinician agreement when using 3D instrumented gait analysis reports versus video recordings.
  • To evaluate the combined use of kinematic data and video for gait pattern classification.

Main Methods:

  • Sixteen clinicians (physiotherapists and orthopedic surgeons) from international gait labs rated gait patterns of 34 children with spastic hemiplegia.
  • Clinicians reviewed archived 3D gait analysis reports (kinematic and video data) and video clips.
  • Inter-rater agreement was quantified using weighted kappa statistics (wkappa).

Main Results:

  • Substantial agreement was found between clinicians when rating gait reports (wkappa = 0.77).
  • Agreement was lower for video ratings (wkappa = 0.63) and when comparing reports to videos (wkappa = 0.62).
  • Exact agreement for specific gait patterns was sometimes unacceptable, indicating limitations in the current classification categories.

Conclusions:

  • The WGH tool demonstrates acceptable agreement among clinicians for classifying spastic hemiplegia gait patterns.
  • Using both 3D instrumented gait analysis kinematic data and video recordings concurrently is recommended for optimal WGH scale application.
  • Further refinement of the WGH classification scale is necessary to improve its comprehensiveness and accuracy.

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