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Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.

The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC)...

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Autores principales: Aryal, Diptesh, Beane, Abi, Dondorp, Arjen M., Green, Cameron, Haniffa, Rashan, Hashmi, Madiha, Jayakumar, Devachandran, Marshall, John C., McArthur, Colin J., Murthy, Srinivas, Webb, Steven A., Acharya, Subhash P., Ishani, Pramodya G. P., Jawad, Issrah, Khanal, Sushil, Koirala, Kanchan, Luitel, Subekshya, Pabasara, Upulee, Paneru, Hem Raj, Kumar, Ashok, Patel, Shoaib Siddiq, Ramakrishnan, Nagarajan, Salahuddin, Nawal, Shaikh, Mohiuddin, Tolppa, Timo, Udayanga, Ishara, Umrani, Zulfiqar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883321/
https://www.ncbi.nlm.nih.gov/pubmed/33604455
http://dx.doi.org/10.12688/wellcomeopenres.16486.1
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author Aryal, Diptesh
Beane, Abi
Dondorp, Arjen M.
Green, Cameron
Haniffa, Rashan
Hashmi, Madiha
Jayakumar, Devachandran
Marshall, John C.
McArthur, Colin J.
Murthy, Srinivas
Webb, Steven A.
Acharya, Subhash P.
Ishani, Pramodya G. P.
Jawad, Issrah
Khanal, Sushil
Koirala, Kanchan
Luitel, Subekshya
Pabasara, Upulee
Paneru, Hem Raj
Kumar, Ashok
Patel, Shoaib Siddiq
Ramakrishnan, Nagarajan
Salahuddin, Nawal
Shaikh, Mohiuddin
Tolppa, Timo
Udayanga, Ishara
Umrani, Zulfiqar
author_facet Aryal, Diptesh
Beane, Abi
Dondorp, Arjen M.
Green, Cameron
Haniffa, Rashan
Hashmi, Madiha
Jayakumar, Devachandran
Marshall, John C.
McArthur, Colin J.
Murthy, Srinivas
Webb, Steven A.
Acharya, Subhash P.
Ishani, Pramodya G. P.
Jawad, Issrah
Khanal, Sushil
Koirala, Kanchan
Luitel, Subekshya
Pabasara, Upulee
Paneru, Hem Raj
Kumar, Ashok
Patel, Shoaib Siddiq
Ramakrishnan, Nagarajan
Salahuddin, Nawal
Shaikh, Mohiuddin
Tolppa, Timo
Udayanga, Ishara
Umrani, Zulfiqar
author_sort Aryal, Diptesh
collection PubMed
description The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC) critical  care network: Collaboration for Research, Implementation and Training in Asia (CCA). The collaboration sought to overcome known barriers to multi centre-clinical trials in resource-limited settings. Methods described focused on six aspects of implementation: i, Strengthening an existing community of practice; ii, Remote study site recruitment, training and support; iii, Harmonising the REMAP CAP- COVID trial with existing care processes; iv, Embedding REMAP CAP- COVID case report form into the existing CCA registry platform, v, Context specific adaptation and data management; vi, Alignment with existing pandemic and critical care research in the CCA. Methods described here may enable other LMIC sites to participate as equal partners in international critical care trials of urgent public health importance, both during this pandemic and beyond.
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spelling pubmed-78833212021-02-17 Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system. Aryal, Diptesh Beane, Abi Dondorp, Arjen M. Green, Cameron Haniffa, Rashan Hashmi, Madiha Jayakumar, Devachandran Marshall, John C. McArthur, Colin J. Murthy, Srinivas Webb, Steven A. Acharya, Subhash P. Ishani, Pramodya G. P. Jawad, Issrah Khanal, Sushil Koirala, Kanchan Luitel, Subekshya Pabasara, Upulee Paneru, Hem Raj Kumar, Ashok Patel, Shoaib Siddiq Ramakrishnan, Nagarajan Salahuddin, Nawal Shaikh, Mohiuddin Tolppa, Timo Udayanga, Ishara Umrani, Zulfiqar Wellcome Open Res Open Letter The Randomized Embedded Multifactorial Adaptive Platform (REMAP-CAP) adapted for COVID-19) trial is a global adaptive platform trial of hospitalised patients with COVID-19. We describe implementation in three countries under the umbrella of the Wellcome supported Low and Middle Income Country (LMIC) critical  care network: Collaboration for Research, Implementation and Training in Asia (CCA). The collaboration sought to overcome known barriers to multi centre-clinical trials in resource-limited settings. Methods described focused on six aspects of implementation: i, Strengthening an existing community of practice; ii, Remote study site recruitment, training and support; iii, Harmonising the REMAP CAP- COVID trial with existing care processes; iv, Embedding REMAP CAP- COVID case report form into the existing CCA registry platform, v, Context specific adaptation and data management; vi, Alignment with existing pandemic and critical care research in the CCA. Methods described here may enable other LMIC sites to participate as equal partners in international critical care trials of urgent public health importance, both during this pandemic and beyond. F1000 Research Limited 2021-01-28 /pmc/articles/PMC7883321/ /pubmed/33604455 http://dx.doi.org/10.12688/wellcomeopenres.16486.1 Text en Copyright: © 2021 Aryal D et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Open Letter
Aryal, Diptesh
Beane, Abi
Dondorp, Arjen M.
Green, Cameron
Haniffa, Rashan
Hashmi, Madiha
Jayakumar, Devachandran
Marshall, John C.
McArthur, Colin J.
Murthy, Srinivas
Webb, Steven A.
Acharya, Subhash P.
Ishani, Pramodya G. P.
Jawad, Issrah
Khanal, Sushil
Koirala, Kanchan
Luitel, Subekshya
Pabasara, Upulee
Paneru, Hem Raj
Kumar, Ashok
Patel, Shoaib Siddiq
Ramakrishnan, Nagarajan
Salahuddin, Nawal
Shaikh, Mohiuddin
Tolppa, Timo
Udayanga, Ishara
Umrani, Zulfiqar
Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.
title Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.
title_full Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.
title_fullStr Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.
title_full_unstemmed Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.
title_short Operationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health system.
title_sort operationalisation of the randomized embedded multifactorial adaptive platform for covid-19 trials in a low and lower-middle income critical care learning health system.
topic Open Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7883321/
https://www.ncbi.nlm.nih.gov/pubmed/33604455
http://dx.doi.org/10.12688/wellcomeopenres.16486.1
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