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从一项评估长新冠起搏干预措施的可行性研究看数字化去中心化临床试验的关键考虑因素。

Key considerations for digital decentralised clinical trials from a feasibility study assessing pacing interventions for long COVID.

机构信息

Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK.

Institute of Applied Health Research, University of Birmingham, Birmingham, UK.

出版信息

Sci Rep. 2024 Sep 27;14(1):22083. doi: 10.1038/s41598-024-61827-4.

Abstract

Post COVID-19 condition or long COVID is highly prevalent and often debilitating, with key symptoms including fatigue, breathlessness, and brain fog. There is currently a lack of evidence-based treatments for this highly complex syndrome. There is a need for clinical trial platforms to rapidly evaluate nonpharmacological treatments to support affected individuals with symptom management. We co-produced a mixed methods feasibility study to evaluate a multi-arm digital decentralised clinical trial (DCT) platform to assess non-pharmacological interventions for Long COVID, using pacing interventions as an exemplar. The study demonstrated that the platform was able to successfully e-consent participants, randomise them into one of four intervention arms, capture baseline data, and capture outcomes relevant to a health economic evaluation. The study also highlighted several challenges, including difficulties with recruitment, imposter participants, and high attrition rates. We highlight how these challenges can potentially be mitigated to make a fully powered DCT more feasible.

摘要

新冠后状况或长新冠极为普遍,且常导致身体虚弱,主要症状包括疲劳、呼吸急促和脑雾。目前,针对这种高度复杂的综合征,缺乏基于证据的治疗方法。需要临床试验平台来快速评估非药物治疗方法,以支持患有症状的个体进行症状管理。我们共同开展了一项混合方法可行性研究,以评估一种多臂数字去中心化临床试验(DCT)平台,该平台用于评估长新冠的非药物干预措施,以起搏干预作为范例。该研究表明,该平台能够成功地对参与者进行电子知情同意、将他们随机分配到四个干预组之一、收集基线数据,并收集与健康经济评估相关的结果。该研究还强调了一些挑战,包括招募困难、冒名顶替的参与者和高退出率。我们强调了如何减轻这些挑战,使完全功能的 DCT 更可行。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/992d/11436957/3477e3fde586/41598_2024_61827_Fig1_HTML.jpg

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