Raw Kendall's W Scores for Prosthetic Foot Wear Assessment

62 plantar images of used SACH feet from Sri Lanka were scored by four independent groups using a published method for quantifying prosthetic foot wear. The dataset contains raw Kendall's W scores used to assess inter-observer and intra-observer reliability for a low-cost, field-appropriate wear evaluation method. The data was published by Michael A. Berthaume on figshare in May 2026.

Use Cases

• Assessing inter-observer reliability of a visual wear scoring method based on the reported Kendall's W scores
• Evaluating intra-observer error in prosthetic foot wear assessment based on re-scoring data from two raters
• Comparing the performance of original versus modified scoring methods for wear quantification based on the described agreement metrics
• Developing scalable community-based monitoring tools for prosthetic foot wear in resource-limited settings based on the described field-appropriate method

Strengths

• Dataset is focused on a specific, well-defined problem: quantifying wear on 62 prosthetic foot images
• Reliability was assessed using both inter-observer (4 raters) and intra-observer (2 raters) metrics
• The study evaluated two scoring methods (original and modified) on full and reduced datasets

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Data is very small in scale at 30.7 KB, indicating limited scope

Provenance

Source

figshare

Collection Method

Wear was scored from 0–9 per cell on a 20x10 grid applied to plantar images based on visual indicators.

Freshness

Last updated 2026-05-29 17:43:24; freshness should be verified

Geography

Sri Lanka