School of Psychological Science, Faculty of Life Sciences, University of Bristol, Bristol, United Kingdom.
Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
J Med Internet Res. 2021 Jun 18;23(6):e26004. doi: 10.2196/26004.
The ability of remote research tools to collect granular, high-frequency data on symptoms and digital biomarkers is an important strength because it circumvents many limitations of traditional clinical trials and improves the ability to capture clinically relevant data. This approach allows researchers to capture more robust baselines and derive novel phenotypes for improved precision in diagnosis and accuracy in outcomes. The process for developing these tools however is complex because data need to be collected at a frequency that is meaningful but not burdensome for the participant or patient. Furthermore, traditional techniques, which rely on fixed conditions to validate assessments, may be inappropriate for validating tools that are designed to capture data under flexible conditions. This paper discusses the process for determining whether a digital assessment is suitable for remote research and offers suggestions on how to validate these novel tools.
远程研究工具收集症状和数字生物标志物的细颗粒度、高频率数据的能力是一个重要优势,因为它避免了传统临床试验的许多限制,并提高了捕捉临床相关数据的能力。这种方法可以使研究人员捕捉更强大的基线,并为改善诊断的精确性和结果的准确性衍生新的表型。然而,开发这些工具的过程非常复杂,因为数据需要以有意义但对参与者或患者不造成负担的频率进行收集。此外,传统技术依赖于固定条件来验证评估,对于验证旨在在灵活条件下捕捉数据的工具可能不合适。本文讨论了确定数字评估是否适合远程研究的过程,并就如何验证这些新工具提出了建议。