使用一种新的疼痛绘图分析软件应用程序,在肩部疼痛患者身上测试疼痛程度和疼痛位置的重新测试可靠性。

Expert review of medical devices Pub Date : 2023-07-01 Epub Date: 2023-11-24 DOI:10.1080/17434440.2023.2277226
Marios Tragoudas, Zacharias Dimitriadis, Adriana Koufogianni, Asimakis Kanellopoulos, Konstantinos Vassis, Panagiotis Gkrilias, Savvas Spanos, Ioannis Poulis
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引用次数: 0

摘要

目的:疼痛评估方法是在专门设计的人体模型上绘制疼痛,患者将代表其疼痛分布的区域涂上颜色。近年来,开发了用于数字疼痛绘图数据采集和处理的软件应用程序。尽管这些特定的软件应用程序已经发布,但它们是用过时的编程工具构建的。本研究的目的是调查一种新的疼痛绘图分析软件在肩部疼痛患者样本中的测试-再测试可靠性。方法:收集31例肩痛患者的临床资料。参与者被要求两次在名为“疼痛分布”的平板电脑软件应用程序的绘画环境中对他们的疼痛分布进行着色。结果:疼痛程度的可靠性良好(ICC = 0.80)。疼痛位置可靠性的Jaccard指数为中等,等于42.02 ± 19.13%。结论:使用新的疼痛分布分析应用程序“疼痛分布”,结果证明了疼痛程度的良好可靠性和疼痛位置的中等可靠性。该疼痛绘图软件应用程序可能是评估肩部疼痛患者疼痛分布的可靠、廉价和临床可用的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Test-retest reliability of pain extent and pain location using a novel pain drawing analysis software application, on patients with shoulder pain.

Objectives: A method of pain assessment is the drawing of pain on a specially designed manikin where the patients color the area representing their pain distribution. In recent years, software applications have been developed for the purpose of digital pain drawing data acquisition and processing. Although such specific software applications have already been released, they have been built with obsolete programming tools. The purpose of the study was to investigate the test - retest reliability of a new pain drawing analysis software, in a sample of patients with shoulder pain.

Methods: Data collected from 31 subjects with shoulder pain. Participants were asked twice to color their pain distribution in the painting environment of a tablet software application called 'Pain Distribution.'

Results: The reliability of pain extent was found to be good (ICC = 0.80). The Jaccard index for the reliability of pain location was found to be moderate, equal to 42.02 ± 19.13%.

Conclusion: The results demonstrated good reliability of pain extent and moderate reliability of pain location using the new pain distribution analysis application 'Pain Distribution.' This pain drawing software application could be a reliable, inexpensive, and clinically usable solution for assessing the distribution of pain in patients with shoulder pain.

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