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

Christel McMullan*, Shamil Haroon, Grace Turner, Olalekan Lee Aiyegbusi, Anuradhaa Subramanian, Sarah E Hughes, Sarah Flanagan, Krishnarajah Nirantharakumar, Elin Haf Davies, Chris Frost, Louise Jackson, Naijie Guan, Yvonne Alder, Amy Chong, Lewis Buckland, Felicity Jeyes, David Stanton, Melanie Calvert

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
JournalScientific Reports
Publication statusAccepted/In press - 10 May 2024

Bibliographical note

Not yet published as of 10/09/2024.

Keywords

  • decentralised trials
  • feasibility study
  • pacing intervention
  • PROMs
  • long COVID

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