Literature DB >> 34194650

Usability and Reliability of the Edinburgh Visual Gait Score in Children with Spastic Cerebral Palsy Using Smartphone Slow-Motion Video Technology and a Motion Analysis Application: A Pilot Study.

Alaric Aroojis1, Bhushan Sagade1, Suresh Chand1.   

Abstract

BACKGROUND: The Edinburgh Visual Gait Score (EVGS) is a comprehensive measure of gait abnormalities in children with cerebral palsy (CP) and has good psychometric properties. However, it is cumbersome to administer and requires multiple devices to record and measure its various components. We conducted this study to determine if a smartphone video protocol could be used to improve the usability and reliability of the EVGS for daily use in a clinic setting.
METHODS: We used a handheld smartphone camera with slow-motion video technology and a motion analysis application to record and measure the EVGS of 30 ambulatory children with spastic CP. We tested the inter- and intra-rater reliability of various components of the EVGS between two observers.
RESULTS: Average age was 7 years 3 months (range 4-14 years). The mean (range) EVGS scores for the trunk, pelvis, hip, knee, ankle, and foot were 1.18 (0-3), 0.68 (0-3), 1.1 (0-4), 3.95 (1.5-7.5), 1.87 (0-4) and 4.13 (2-6.5) respectively. Total score was 12.92 (7-21.5). The mean (SD) scores for Gross Motor Function Classification System (GMFCS) levels II and III were 10.73 (3.86) and 14.96 (4.2) (p < 0.001). The intra-observer and inter-observer reliability using percentage of complete agreement was 65-98.3% and 61.7-92.5% respectively, with kappa values ranging from 0.15 to 0.87. Reliability was more for distal limb segments as compared to proximal segments.
CONCLUSION: We have described a simple and reliable method for quantitative OGA of children with CP, using smartphone video technology and motion analysis application, which can be performed by every clinician in an office setting. LEVEL OF EVIDENCE: Level III. © Indian Orthopaedics Association 2021.

Entities:  

Keywords:  Cerebral palsy; Edinburgh Visual Gait Score; Motion analysis application; Observational gait analysis; Slow-motion video; Smartphone

Year:  2021        PMID: 34194650      PMCID: PMC8192632          DOI: 10.1007/s43465-020-00332-y

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.251


  23 in total

1.  Influence of clinical and gait analysis experience on reliability of observational gait analysis (Edinburgh Gait Score Reliability).

Authors:  E Viehweger; L Zürcher Pfund; M Hélix; M-A Rohon; M Jacquemier; D Scavarda; J-L Jouve; G Bollini; A Loundou; M-C Simeoni
Journal:  Ann Phys Rehabil Med       Date:  2010-10-16

2.  Correlation of the Edinburgh Gait Score with the Gillette Gait Index, the Gillette Functional Assessment Questionnaire, and dimensionless speed.

Authors:  Susan J Hillman; M Elizabeth Hazlewood; Michael H Schwartz; Mariëtta L van der Linden; James E Robb
Journal:  J Pediatr Orthop       Date:  2007 Jan-Feb       Impact factor: 2.324

Review 3.  The role of gait analysis in the orthopaedic management of ambulatory cerebral palsy.

Authors:  Unni G Narayanan
Journal:  Curr Opin Pediatr       Date:  2007-02       Impact factor: 2.856

4.  The relationship between the Edinburgh Visual Gait Score, the Gait Profile Score and GMFCS levels I-III.

Authors:  L W Robinson; N Clement; M Fullarton; A Richardson; J Herman; G Henderson; J E Robb; M S Gaston
Journal:  Gait Posture       Date:  2015-02-03       Impact factor: 2.840

5.  Concurrent validity and reliability of 2d kinematic analysis of frontal plane motion during running.

Authors:  Jennifer N Maykut; Jeffery A Taylor-Haas; Mark V Paterno; Christopher A DiCesare; Kevin R Ford
Journal:  Int J Sports Phys Ther       Date:  2015-04

6.  Reliability and validity of a smartphone app to measure joint range.

Authors:  Sophie Louise Vohralik; Annika Rose Bowen; Joshua Burns; Claire Elizabeth Hiller; Elizabeth Jean Nightingale
Journal:  Am J Phys Med Rehabil       Date:  2015-04       Impact factor: 2.159

7.  Validity and reliability of a smartphone motion analysis app for lower limb kinematics during treadmill running.

Authors:  Seyed Hamed Mousavi; Juha M Hijmans; Forough Moeini; Reza Rajabi; Reed Ferber; Henk van der Worp; Johannes Zwerver
Journal:  Phys Ther Sport       Date:  2020-02-08       Impact factor: 2.365

8.  Reliability and validity of Edinburgh visual gait score as an evaluation tool for children with cerebral palsy.

Authors:  Maria Del Pilar Duque Orozco; Oussama Abousamra; Chris Church; Nancy Lennon; John Henley; Kenneth J Rogers; Julieanne P Sees; Justin Connor; Freeman Miller
Journal:  Gait Posture       Date:  2016-06-15       Impact factor: 2.840

9.  Content validity of the expanded and revised Gross Motor Function Classification System.

Authors:  Robert J Palisano; Peter Rosenbaum; Doreen Bartlett; Michael H Livingston
Journal:  Dev Med Child Neurol       Date:  2008-10       Impact factor: 5.449

10.  Correlation among the Visual Gait Assessment Scale, Edinburgh Visual Gait Scale and Observational Gait Scale in children with spastic diplegic cerebral palsy.

Authors:  Geruza P Bella; Nádia B B Rodrigues; Paola J Valenciano; Luciana M A E Silva; Regina C T Souza
Journal:  Rev Bras Fisioter       Date:  2012-04
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