Reliability of Integrating 2D Image Analysis Software with the Gait Assessment and Intervention Tool in Individuals with Stroke
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Abstract
Introduction: The Gait Assessment and Intervention Tool (GAIT) is well-regarded for its intra-rater and inter-rater reliability and presents an ideal foundation for integration with 2D image analysis. This innovative combination aims to leverage the strengths of both subjective and objective assessment methods. While the psychometric properties of the GAIT tool, including its concurrent validity, have been previously explored, the potential of augmenting it with 2D image analysis for gait assessment has yet to be thoroughly investigated. This study aimed to validate the integration of the GAIT tool with 2D image analysis software, hypothesizing that this combination would provide a comprehensive and nuanced assessment of gait parameters in post-stroke individuals. The primary focus was to evaluate the reliability of gait parameter measurements derived from this integrated approach.
Methods: Nine post-stroke participants were assessed using the GAIT tool, augmented with 2D image analysis, at baseline and follow-up by a single experienced therapist. The study assessed intra-rater reliability using the Intra-class Correlation Coefficient (ICC), Standard Error of Measurement (SEM), and Minimal Detectable Change (MDC).
Results: The integrated approach of the GAIT tool and 2D image analysis demonstrated excellent intra-rater reliability. The total GAIT score exhibited an ICC of 0.99 (SEM = 1.06, MDC = 2.94). Subscores for stance and swing phases, stance phase alone, and swing phase alone showed high reliability with ICC values of 0.95, 1.00, and 0.99, respectively. SEMs ranged from 0.00 to 0.57, and MDCs from 0.00 to 1.58.
Conclusion: The combination of the GAIT tool and 2D image analysis shows promise for providing a reliable and detailed assessment of gait abnormalities in stroke survivors. The excellent intra-rater reliability underscores its potential utility in clinical and research settings, suggesting a significant advancement in gait assessment methodologies.
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