Using artificial intelligence-based technologies to detect clinically relevant changes of gross motor function in

Leonie Schafmeyer1,2, Heike Losch2, Christiane Bossier1,3

  • 1University of Cologne, Medical Faculty and University Hospital, Center of Prevention and Rehabilitation, UniReha, Cologne, Germany.

Insights

The reduced Gross Motor Function Measure (rGMFM-66) accurately detects changes in gross motor function for children with cerebral palsy (CP). This shorter version is a time-saving alternative to the full GMFM-66, suitable for clinical practice.

Area of Science:

  • Pediatric Rehabilitation
  • Movement Science
  • Clinical Assessment Tools

Background:

  • Cerebral palsy (CP) significantly impacts gross motor function in children.
  • Accurate and efficient measurement of motor function is crucial for rehabilitation progress monitoring.
  • The 66-item Gross Motor Function Measure (GMFM-66) is a standard tool, but its length can be a limitation.

Purpose of the Study:

  • To compare the efficacy of the 66-item Gross Motor Function Measure (GMFM-66) with its reduced version (rGMFM-66).
  • To assess the ability of both measures to detect clinically relevant changes in gross motor function in children with CP.

Main Methods:

  • Retrospective analysis of 1352 GMFM-66 and rGMFM-66 measurements from children with CP undergoing rehabilitation.
  • Measurements were taken at 5- to 7-month intervals.
  • Individual effect size (iES) was calculated to quantify clinically relevant changes.

Main Results:

  • A strong correlation (r=0.84) was found between iES calculated using GMFM-66 and rGMFM-66.
  • The rGMFM-66 demonstrated excellent agreement in detecting clinically relevant gross motor improvement (AUC=0.90) and deterioration (AUC=0.95).

Conclusions:

  • The reduced GMFM-66 (rGMFM-66) is a valid and reliable tool for assessing gross motor function changes in children with CP.
  • The rGMFM-66 offers a time-efficient alternative to the full GMFM-66, making it practical for routine clinical use.
Abstract

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