Bressler Michael, Merk Joachim, Heinzel Johannes, Butz Martin V, Daigeler Adrien, Kolbenschlag Jonas, Prahm Cosima
Department of Hand, Plastic, Reconstructive and Burn Surgery, BG Trauma Clinic, University of Tuebingen, Tuebingen, Germany.
Neuro-Cognitive Modeling Group, Department of Computer Science and Department of Psychology, Faculty of Science, Eberhard Karls University, Tuebingen, Germany.
Front Rehabil Sci. 2022 Feb 9;3:806114. doi: 10.3389/fresc.2022.806114. eCollection 2022.
Currently, there is neither a standardized mode for the documentation of phantom sensations and phantom limb pain, nor for their visualization as perceived by patients. We have therefore created a tool that allows for both, as well as for the quantification of the patient's visible and invisible body image. A first version provides the principal functions: (1) Adapting a 3D avatar for self-identification of the patient; (2) modeling the shape of the phantom limb; (3) adjusting the position of the phantom limb; (4) drawing pain and cramps directly onto the avatar; and (5) quantifying their respective intensities. Our tool (C.A.L.A.) was evaluated with 33 occupational therapists, physiotherapists, and other medical staff. Participants were presented with two cases in which the appearance and the position of the phantom had to be modeled and pain and cramps had to be drawn. The usability of the software was evaluated using the System Usability Scale and its functional range was evaluated using a self-developed questionnaire and semi-structured interview. In addition, our tool was evaluated on 22 patients with limb amputations. For each patient, body image as well as phantom sensation and pain were modeled to evaluate the software's functional scope. The accuracy of the created body image was evaluated using a self-developed questionnaire and semi-structured interview. Additionally, pain sensation was assessed using the SF-McGill Pain Questionnaire. The System Usability Scale reached a level of 81%, indicating high usability. Observing the participants, though, identified several operational difficulties. While the provided functions were considered useful by most participants, the semi-structured interviews revealed the need for an improved pain documentation component. In conclusion, our tool allows for an accurate visualization of phantom limbs and phantom limb sensations. It can be used as both a descriptive and quantitative documentation tool for analyzing and monitoring phantom limbs. Thus, it can help to bridge the gap between the therapist's conception and the patient's perception. Based on the collected requirements, an improved version with extended functionality will be developed.
目前,对于幻肢感觉和幻肢痛的记录,以及患者所感知到的幻肢感觉和幻肢痛的可视化,均不存在标准化模式。因此,我们创建了一种工具,它既能实现这两者,还能对患者可见和不可见的身体形象进行量化。第一个版本具备以下主要功能:(1)调整3D虚拟形象以实现患者自我识别;(2)模拟幻肢形状;(3)调整幻肢位置;(4)直接在虚拟形象上绘制疼痛和痉挛;(5)量化它们各自的强度。我们的工具(C.A.L.A.)在33名职业治疗师、物理治疗师和其他医务人员中进行了评估。向参与者展示了两个案例,要求他们对幻肢的外观和位置进行建模,并绘制疼痛和痉挛。使用系统可用性量表评估软件的可用性,并使用自行编制的问卷和半结构化访谈评估其功能范围。此外,我们的工具在22名截肢患者身上进行了评估。针对每位患者,对身体形象以及幻肢感觉和疼痛进行建模,以评估软件的功能范围。使用自行编制的问卷和半结构化访谈评估所创建身体形象的准确性。此外,使用SF-麦吉尔疼痛问卷评估疼痛感觉。系统可用性量表达到了81%的水平,表明可用性较高。不过,观察参与者发现了一些操作困难。虽然大多数参与者认为所提供的功能有用,但半结构化访谈表明需要改进疼痛记录组件。总之,我们的工具能够准确地可视化幻肢和幻肢感觉。它既可以用作分析和监测幻肢的描述性和定量记录工具。因此,它有助于弥合治疗师的概念与患者的感知之间的差距。基于收集到的需求,将开发功能更强大的改进版本。