神经病变追踪器-一种移动健康应用程序,用于动态和自我管理的神经病变评估。

PLOS digital health Pub Date : 2025-02-12 eCollection Date: 2025-02-01 DOI:10.1371/journal.pdig.0000725
Jakob E Bardram, Mads Westermann, Julia G Makulec, Martin Ballegaard
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引用次数: 0

摘要

周围神经病变是一种常见的神经系统疾病,是糖尿病或癌症治疗的常见并发症。早期发现和治疗对于改善糖尿病足溃疡等疾病的治疗至关重要。然而,神经病变的检测和监测需要对运动和感觉系统进行检查,并且需要由训练有素的专业人员在临床环境中进行,从而导致等待时间和治疗延误。本文介绍了神经病变追踪器,这是一种移动健康(mHealth)工具,用于神经病变的动态自我评估,可以由患者在家中完成。该应用程序采用迭代的以用户为中心的设计(UCD)流程,涉及神经科医生、患者和健康受试者,从而确保了高度的临床有效性和可用性。应用程序中的评估方法采用了最先进的神经病变评估方法,应用程序体现了用户友好和系统的评估流程,指导患者进行自我评估。神经病变追踪工具进行了小型可行性研究(N = 17),与标准临床评估方法相比,其并发效度具有统计学意义(Pearson相关系数= 0.86,p < 0.05),但中等(一致性相关系数(ρc) = 0.69)。所有患者均能在没有任何帮助的情况下完成自我评估。因此,神经病变追踪器的技术和用户体验设计提供了一个稳定的移动健康工具,可以用于神经病变的动态自我评估。然而,在将其用于神经病变的临床治疗之前,需要进一步的临床验证研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Neuropathy Tracker-A mobile health application for ambulatory and self-administred assessment of neuropathy.

Peripheral neuropathy is a common neurological disease and is a common complication of diabetes or cancer treatment. Early detection and treatment are crucial for improving the treatment of e.g., diabetic foot ulcers. However, neuropathy detection and monitoring requires examination of the motor and sensory systems and needs to be carried out in a clinical setting by trained professionals, leading to waiting time and delayed treatment. This paper presents the Neuropathy Tracker which is a Mobile Health (mHealth) tool for ambulatory self-assessment of neuropathy, which can be done by the patient at home. The app was designed in an iterative user-centered design (UCD) process involving neurologists, patients, and healthy subjects, thereby ensuring a high degree of clinical validity and usability. The assessment methodology in the app applies state-of-the-art neuropathy assessment methods and the app embodies a user-friendly and systematic assessment flow that guides the patient through the self-assessment. The Neuropathy Tracker tool was subject to a small feasibility study (N = 17), which showed a statistically significant (Pearson correlation ρ = 0.86, p < 0.05) but moderate (Concordance Correlation Coefficient (ρc) = 0.69) concurrent validity when compared with a standard clinical assessment method. All patients were able to complete the self-assessment without any help. As such, the technical and user experience design of the Neuropathy Tracker presents a stable mHealth tool that may be feasible for ambulatory self-assessment of neuropathy. Further clinical validation studies are, however, warranted before it is used in the clinical treatment of neuropathy.

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