Logo image
Back
Development and validation of item sets to improve efficiency of administration of the 66-item Gross Motor Function Measure in children with cerebral palsy
Journal article   Open access   Peer reviewed

Development and validation of item sets to improve efficiency of administration of the 66-item Gross Motor Function Measure in children with cerebral palsy

Dianne J Russell, Lisa M Avery, Stephen D Walter, Steven E Hanna, Doreen J Bartlett, Peter L Rosenbaum, Robert J Palisano and Jan Willem Gorter
Developmental medicine and child neurology, v 52(2), pp e48-e54
Feb 2010
DOI: https://doi.org/10.1111/j.1469-8749.2009.03481.x
PMID: 19811516
Featured in Collection :   UN Sustainable Development Goals @ Drexel
url
https://doi.org/10.1111/j.1469-8749.2009.03481.xView
Published, Version of Record (VoR)Maybe Open Access (Publisher Bronze),  Open

Abstract

Disability Evaluation Severity of Illness Index Reproducibility of Results Age Factors Cross-Sectional Studies Humans Movement Disorders - diagnosis Child, Preschool Infant Male Algorithms Cerebral Palsy - complications Analysis of Variance Movement Disorders - etiology Quality of Life Female Child Development - physiology Longitudinal Studies
To develop an algorithmic approach to identify item sets of the 66-item version of the Gross Motor Function Measure (GMFM-66) to be administered to individual children, and to examine the validity of the algorithm for obtaining a GMFM-66 score. An algorithmic approach was used to identify item sets of the GMFM-66 (GMFM-66-IS) using data from 95 males and 79 females with cerebral palsy (CP; mean age 14y 7mo, SD 1y 8mo, range 12y 7mo to 17y 8mo). The GMFM-66-IS scores were then validated using combined data from three Dutch studies involving 134 males and 92 females with CP (mean age 7y, SD 4y 6mo, range 1y 4mo to 13y 8mo), representing all levels of the Gross Motor Function Classification System. The final algorithm contains three decision items from the GMFM-66 that determine which one of four item sets to administer. The GMFM-66-IS has excellent agreement with the full GMFM-66 both at a single assessment (intraclass correlation coefficient [ICC]=0.994, 95% confidence intervals [CI] 0.993-0.996) and across repeat assessments (ICC=0.92, 95% CI 0.89-0.95). The GMFM-66-IS is a promising alternative to the full GMFM-66. Users should be consistent in their choice of measure (GMFM-66 or GMFM-66-IS) on repeat testing and clearly identify which method was used.

Metrics

9 Record Views
88 citations in Web of Science
96 citations in Scopus

Details

UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Clinical Neurology
Pediatrics
Logo image