THREAD Research, 155 El Camino Real, Tustin, CA, 92780, USA.
Wicks Digital Health, Advantage House, Lichfield, WS13 6AQ, Staffordshire, UK.
Orphanet J Rare Dis. 2022 Jun 20;17(1):240. doi: 10.1186/s13023-022-02388-5.
People affected by rare diseases want to be involved in research and the search for new treatments. Randomized controlled trials remain the best way of finding new interventions, but many elements of traditional study design are not best suited for rare diseases. Barriers to patients and families include the use of specialist hospital sites for recruitment, requiring frequent site-based study visits for data collection, and a high burden of tests and outcome measures in research. While decentralized clinical trial (DCT) designs have been developed in some rare disease trials, changes necessitated by the COVID-19 pandemic present an opportunity for them to become a standard approach. DCT approaches have been shown to be more resilient to changes in enrolment and attrition during COVID-19 than traditional designs and offer benefits in terms of patient burden, convenience, inclusion, and data quality. Digital tools such as wearable devices and electronic clinical outcome assessments may also provide more convenient and environmentally valid measures of how a condition affects the life of an individual in their regular environment (e.g. mobility around the home versus a hospital corridor). Digital solutions have greater ability to support language localization, accessibility, and may lead to increase access to global rare disease trials. In parallel, challenges exist, such as the technical support, the digital divide, ensuring high quality data, and delivering safe trials.
受罕见病影响的患者希望参与研究和寻找新的治疗方法。随机对照试验仍然是寻找新干预措施的最佳方法,但传统研究设计的许多要素并不最适合罕见病。患者和家属面临的障碍包括在专门的医院进行招募,需要频繁的现场研究访问以收集数据,以及研究中测试和结果测量的负担很重。虽然在一些罕见病试验中已经开发了分散临床试验(DCT)设计,但 COVID-19 大流行带来的变化为它们成为标准方法提供了机会。与传统设计相比,DCT 方法在 COVID-19 期间的入组和流失变化方面表现出更强的弹性,并在患者负担、便利性、包容性和数据质量方面提供了益处。可穿戴设备和电子临床结果评估等数字工具也可以更方便地、更真实地衡量疾病在个体日常生活环境中(例如,在家中移动与在医院走廊中移动)对其生活的影响。数字解决方案更有能力支持语言本地化和无障碍访问,并可能增加参与全球罕见病试验的机会。与此同时,还存在一些挑战,例如技术支持、数字鸿沟、确保高质量数据以及开展安全试验。