Ozmen Emre, Güleç Gamze Gül, İzol Özmen Hazal, Civan Melih, Circi Esra, Yuksel Serdar, Baris Alican
Department of Orthopedics and Traumatology, Istanbul Physical Medicine and Rehabilitation Training and Research Hospital, Istanbul, Türkiye.
Department of Physical Medicine and Rehabilitation, Kastamonu University Faculty of Medicine, Kastamonu, Türkiye.
Acta Orthop Traumatol Turc. 2024 Oct 31;58(6):331-335. doi: 10.5152/j.aott.2024.24017.
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.
本研究旨在验证作者开发的一款软件应用程序（应用），以简化和提高残疾评估的准确性，特别是针对上肢肌肉骨骼系统残疾的评估。
在土耳其科学技术研究理事会（TÜB!TAK）资助的项目下开发了一款软件，以辅助残疾评估过程。该工具专为Windows操作系统设计，用Visual Basic（VB.NET）开发，使用来自50名患者的存档数据进行测试，重点是上肢身体评估。使用IBM SPSS Statistics进行统计分析，包括 Shapiro–Wilk 检验和独立 t 检验/曼-惠特尼 U 检验，以比较应用辅助评估方法和手动评估方法在时间和评分方面的差异。
应用辅助评估方法显著节省了时间，平均比手动方法快328.3秒。两种方法的平均评分差异较小（0.40分，差异为0.92%），且无统计学意义（P = 0.931）。应用辅助评估方法在残疾评估中显示出效率，准确性与手动方法相当。
本应用是为健康委员会中检查上肢肌肉骨骼系统残疾患者的医生开发的。我们的结果表明，该应用在保持与手动方法相当的准确性的同时，将平均评估时间减少了5分钟。它可能是临床环境中医生的一个有用工具。
IV级，诊断性研究。
