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Open-source data management system for Parkinson’s disease follow-up
PeerJ Computer Science ( IF 3.5 ) Pub Date : 2021-02-17 , DOI: 10.7717/peerj-cs.396
João Paulo Folador 1 , Marcus Fraga Vieira 2 , Adriano Alves Pereira 1 , Adriano de Oliveira Andrade 1
Affiliation  

Background Parkinson’s disease (PD) is a neurodegenerative condition of the central nervous system that causes motor and non-motor dysfunctions. The disease affects 1% of the world population over 60 years and remains cureless. Knowledge and monitoring of PD are essential to provide better living conditions for patients. Thus, diagnostic exams and monitoring of the disease can generate a large amount of data from a given patient. This study proposes the development and usability evaluation of an integrated system, which can be used in clinical and research settings to manage biomedical data collected from PD patients. Methods A system, so-called Sistema Integrado de Dados Biomédicos (SIDABI) (Integrated Biomedical Data System), was designed following the model-view-controller (MVC) standard. A modularized architecture was created in which all the other modules are connected to a central security module. Thirty-six examiners evaluated the system usability through the System Usability Scale (SUS). The agreement between examiners was measured by Kendall’s coefficient with a significance level of 1%. Results The free and open-source web-based system was implemented using modularized and responsive methods to adapt the system features on multiple platforms. The mean SUS score was 82.99 ± 13.97 points. The overall agreement was 70.2%, as measured by Kendall’s coefficient (p < 0.001). Conclusion According to the SUS scores, the developed system has good usability. The system proposed here can help researchers to organize and share information, avoiding data loss and fragmentation. Furthermore, it can help in the follow-up of PD patients, in the training of professionals involved in the treatment of the disorder, and in studies that aim to find hidden correlations in data.

中文翻译:

用于帕金森病随访的开源数据管理系统

背景 帕金森病 (PD) 是一种中枢神经系统的神经退行性疾病,会导致运动和非运动功能障碍。这种疾病在 60 年内影响了 1% 的世界人口,并且仍然无法治愈。PD的知识和监测对于为患者提供更好的生活条件至关重要。因此,疾病的诊断检查和监测可以从给定的患者中生成大量数据。本研究提出了一个集成系统的开发和可用性评估,该系统可用于临床和研究环境,以管理从 PD 患者收集的生物医学数据。方法 按照模型-视图-控制器 (MVC) 标准设计了一个系统,即所谓的 Sistema Integrado de Dados Biomedicos (SIDABI)(集成生物医学数据系统)。创建了一个模块化架构,其中所有其他模块都连接到一个中央安全模块。36 名审查员通过系统可用性量表 (SUS) 评估了系统可用性。考官之间的一致性通过 Kendall 系数来衡量,显着性水平为 1%。结果免费和开源的基于Web的系统采用模块化和响应式方法实现,以适应多个平台的系统功能。平均 SUS 评分为 82.99 ± 13.97 分。根据 Kendall 系数 (p < 0.001) 衡量,总体一致性为 70.2%。结论 根据SUS评分,开发的系统具有良好的可用性。这里提出的系统可以帮助研究人员组织和共享信息,避免数据丢失和碎片化。此外,它可以帮助 PD 患者的随访,
更新日期:2021-02-17
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