Enhancing accuracy and efficiency in upper extremity disability assessments: development and testing of a desktop application.
cross_sectional · Level IV
Where this comes from
- Record sourced from PubMed, PMID 39660670.
- Also identified by DOI 10.5152/j.aott.2024.24017 and PMC identifier 11740236.
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Abstract
This study aimed to validate a software application (app) developed by the authors to streamline and enhance the accuracy of disability assessments, specifically for musculoskeletal system disabilities in the upper extremities. A software was developed under a TÜB!TAK-funded project to aid in the disability assessment process. This tool, designed for Windows operating systems and developed in Visual Basic (VB.NET), was tested using archive data from 50 patients, focusing on upper extremity physical evaluations. Statistical analysis, including the Shapiro–Wilk and Independent t-test/Mann–Whitney U-tests, was conducted using IBM SPSS Statistics to compare the app-assisted and manual assessment methods regarding time and rating’. Significant time-saving was observed with the app-assisted method, which was 328.3 seconds faster on average than the manual method. The average rating di"erence between the 2 methods was minor (0.40 points, 0.92% di"erence) and not statistically significant (P=.931). The app-assisted method showed e#ciency in disability assessment with comparable accuracy to the manual methods. This application was developed for physicians who examine patients with musculoskeletal system disabilities in the upper extremities for the Health Board. Our results show that the application reduces the average evaluation time by 5 minutes while maintaining accuracy comparable to the manual method. It could be a helpful tool for physicians in a clinical setting. Level IV, Diagnostic Study.
Medical subject headings
- Disability Evaluation
- Upper Extremity
- Musculoskeletal Diseases
- Software
- Mobile Applications