Slow-motion smartphone video improves interobserver reliability of gait assessment in ambulatory cerebral palsy

Dane J Brodke1, Katherine Makaroff1, Enda G Kelly2

  • 1Department of Orthopaedic Surgery, University of California, Los Angeles, Los Angeles, CA, USA.

PubMed

Insights

Slow-motion smartphone video significantly improves the reliability of visual gait assessments for pediatric neuromuscular conditions. This accessible tool enhances diagnostic accuracy for clinicians worldwide.

Area of Science:

  • Pediatric Orthopedics
  • Neuromuscular Disorders
  • Biomechanical Analysis

Background:

  • Structured visual gait assessment is crucial for evaluating pediatric patients with neuromuscular conditions.
  • Standard gait analysis methods can be limited in their ability to capture subtle abnormalities.

Purpose of the Study:

  • To evaluate the effectiveness of slow-motion video, recorded on a standard smartphone, in enhancing visual gait assessment.
  • To determine if slow-motion video improves interrater reliability in gait scoring.

Main Methods:

  • Coronal and sagittal plane gait videos of five pediatric subjects (four with cerebral palsy) were recorded using a smartphone.
  • Twenty-one video scorers were randomized to evaluate videos at either slow-motion (1/8 speed) or normal speed using the Edinburgh Visual Gait Score.
  • Interrater reliability was assessed using intraclass correlation coefficients (ICCs).

Main Results:

  • The slow-motion group achieved a higher ICC (0.65) compared to the normal-speed group (0.57).
  • Slow-motion video improved reliability for both less-experienced (ICC 0.62 vs. 0.50) and more-experienced scorers (ICC 0.69 vs. 0.67).
  • The benefits of slow-motion video were observed across different experience levels of scorers.

Conclusions:

  • Slow-motion smartphone video enhances the reliability of visual gait assessment for pediatric neuromuscular conditions.
  • This method offers a cost-effective and globally accessible tool for improving diagnostic capabilities.
  • Smartphone-based slow-motion video analysis represents a valuable advancement in pediatric gait evaluation.
Abstract

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