Gait Metrics Reliability and MCID in Vestibular Disorders

60 patients with chronic bilateral or unilateral vestibular failure underwent gait analysis on an instrumented walkway. Sandra Kollmansperger authored this study to quantify test-retest reliability and estimate minimal clinically important differences for gait metrics. The dataset likely contains quantitative gait data across five domains: pace, phase, variability, asymmetry, and postural control.

Use Cases

• Assess test-retest reliability of gait metrics based on intraclass correlation coefficients mentioned in the description
• Estimate minimal clinically important differences for gait characteristics based on distribution- and anchor-based methods
• Compare gait performance across different walking conditions (self-selected, slow, eyes-closed) based on the experimental protocol
• Link gait metric changes to clinical outcomes based on anchors like Functional Gait Assessment and Falls Efficacy Scale

Strengths

• Includes data from 60 patients, split between bilateral and unilateral vestibular failure
• Gait was recorded under three distinct conditions: self-selected, slow, and eyes-closed walking
• Reliability and MCID were calculated across five gait domains: pace, phase, variability, asymmetry, and postural control

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset is a 262.8 KB DOCX file, suggesting limited scope and likely summary data rather than raw records

Provenance

Source

figshare

Collection Method

Gait recorded on an instrumented walkway for patients with vestibular disorders.

Freshness

Last updated 2026-05-05 04:13:27; freshness should be verified