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

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.

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Publication Details

Journal
Scientific Reports
Published
2024-09-27
DOI
https://doi.org/10.1038/s41598-024-61827-4
Citations
4
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
1.48

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article

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

Shamil Haroon, Christel McMullan, Elin Haf Davies, Sarah Hughes et al.
4 citations
Scientific Reports
Long-Term Effects of COVID-19
1.48
article

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

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

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.

Scientific ReportsVol. 14(1)
National Institute for Health and Care Research (GB), Cellular Therapeutics (United Kingdom) (GB), NIHR Research Delivery Network (GB), NIHR Birmingham Biomedical Research Centre (GB), University of Birmingham (GB)
National Institute for Health and Care Research
Openalex Percentile: Top 17%
Long-Term Effects of COVID-19
1.48
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