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Agreement Between the Gross Motor Ability Estimator-3 and the Reduced Gross Motor Function Measure-66 Based on
Stefanie Steven1, Carlotta Müller1, Karoline Spiess1
1Center of Prevention and Rehabilitation, Medical Faculty and University Hospital, University of Cologne, 50931 Cologne, Germany.
Journal of Clinical Medicine
|July 12, 2025
Summary
The reduced Gross Motor Function Measure-66 (rGMFM-66) is a valid alternative to the standard GMFM-66, showing excellent agreement with GMFM-66v3. This tool significantly reduces assessment time for children with cerebral palsy.
Area of Science:
- Pediatric Rehabilitation
- Motor Function Assessment
- Cerebral Palsy Research
Background:
- The reduced Gross Motor Function Measure-66 (rGMFM-66) has established validity against the Gross Motor Ability Estimator-2 (GMAE-2).
- This study validates the rGMFM-66 using the updated Gross Motor Ability Estimator-3 (GMAE-3) and compares GMFM-66 versions.
- Cerebral palsy (CP) assessment requires reliable and efficient tools for tracking motor development.
Purpose of the Study:
- To evaluate the validity of the rGMFM-66 against the GMAE-3 in children with CP.
- To compare the agreement between GMFM-66 version 2 (GMFM-66v2) and GMFM-66 version 3 (GMFM-66v3).
- To assess the clinical utility and time efficiency of the rGMFM-66.
Main Methods:
- Retrospective analysis of 250 children with CP (GMFCS levels I-V) from 2015-2024.
- Assessment of agreement using intraclass correlation coefficients (ICCs) and Bland-Altman analyses.
- Comparison of scoring methods between rGMFM-66, GMFM-66v2, and GMFM-66v3.
Main Results:
- The rGMFM-66 demonstrated excellent agreement with GMFM-66v3 (ICC = 0.994).
- High agreement was also observed between GMFM-66v2 and GMFM-66v3 (ICC = 0.994).
- The rGMFM-66 reduced administration time by 42% (from 45 to 26 minutes).
Conclusions:
- The rGMFM-66 is a valid and highly agreeable alternative to GMFM-66v3 for assessing motor function in children with CP.
- The tool's efficiency supports its use in clinical practice and research settings.
- Users should be aware of potential minor scoring differences between algorithms.
