Hoffman Shannon L, Schmiedmayer Paul, Gala Aryaman S, Wilkins Kevin B, Parisi Laura, Karjagi Shreesh, Negi Aarushi S, Revlock Simon, Coriz Christopher, Revlock Jeremy, Ravi Vishnu, Bronte-Stewart Helen
Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA.
Stanford Byers Center for Biodesign, Stanford University, Stanford, CA.
Res Sq. 2024 Jan 24:rs.3.rs-3783294. doi: 10.21203/rs.3.rs-3783294/v1.
People with Parkinson's disease (PWP) face critical challenges, including lack of access to neurological care, inadequate measurement and communication of motor symptoms, and suboptimal medication management and compliance. We have developed QDG-Care: a comprehensive connected care platform for Parkinson's disease (PD) that delivers validated, quantitative metrics of all motor signs in PD in real time, monitors the effects of adjusting therapy and medication adherence and is accessible in the electronic health record. In this article, we describe the design and engineering of all components of QDG-Care, including the development and utility of the QDG Mobility and Tremor Severity Scores. We present the preliminary results and insights from the first at-home trial using QDG-Care. QDG technology has enormous potential to improve access to, equity of, and quality of care for PWP, and improve compliance with complex time-critical medication regimens. It will enable rapid "Go-NoGo" decisions for new therapeutics by providing high-resolution data that require fewer participants at lower cost and allow more diverse recruitment.
帕金森病患者(PWP)面临着严峻挑战,包括难以获得神经科护理、运动症状的测量和沟通不足,以及药物管理和依从性欠佳。我们开发了QDG-Care:一个用于帕金森病(PD)的综合互联护理平台,该平台能实时提供帕金森病所有运动体征的经过验证的定量指标,监测调整治疗和药物依从性的效果,并且可在电子健康记录中获取。在本文中,我们描述了QDG-Care所有组件的设计和工程,包括QDG运动能力和震颤严重程度评分的开发及效用。我们展示了使用QDG-Care进行的首次居家试验的初步结果和见解。QDG技术在改善帕金森病患者获得护理的机会、护理公平性和护理质量,以及提高对复杂的紧急用药方案的依从性方面具有巨大潜力。它将通过提供高分辨率数据,以更低成本需要更少参与者并允许更广泛的招募,从而为新疗法做出快速的“通过/不通过”决策。
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