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)...
Những tác giả chính: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Định dạng: | Journal article |
Ngôn ngữ: | English |
Được phát hành: |
F1000 Research
2021
|
_version_ | 1826263575281270784 |
---|---|
author | Aryal, D Beane, A Dondorp, A Green, C Haniffa, R Hashmi, M Jayakumar, D Marshall, J McArthur, C Murthy, S Webb, S Acharya, S Ishani, P Jawad, I Khanal, S Koirala, K Luitel, S Pabasara, U Paneru, HR Kumar, A Patel, SS Ramakrishnan, N Salahuddin, N Shaikh, M Tolppa, T Udayanga, I Umrani, Z |
author_facet | Aryal, D Beane, A Dondorp, A Green, C Haniffa, R Hashmi, M Jayakumar, D Marshall, J McArthur, C Murthy, S Webb, S Acharya, S Ishani, P Jawad, I Khanal, S Koirala, K Luitel, S Pabasara, U Paneru, HR Kumar, A Patel, SS Ramakrishnan, N Salahuddin, N Shaikh, M Tolppa, T Udayanga, I Umrani, Z |
author_sort | Aryal, D |
collection | OXFORD |
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. |
first_indexed | 2024-03-06T19:53:58Z |
format | Journal article |
id | oxford-uuid:24e7b8a3-dfeb-4b15-8a18-42f061511a23 |
institution | University of Oxford |
language | English |
last_indexed | 2024-03-06T19:53:58Z |
publishDate | 2021 |
publisher | F1000 Research |
record_format | dspace |
spelling | oxford-uuid:24e7b8a3-dfeb-4b15-8a18-42f061511a232022-03-26T11:52:52ZOperationalisation of the Randomized Embedded Multifactorial Adaptive Platform for COVID-19 trials in a low and lower-middle income critical care learning health systemJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:24e7b8a3-dfeb-4b15-8a18-42f061511a23EnglishSymplectic ElementsF1000 Research2021Aryal, DBeane, ADondorp, AGreen, CHaniffa, RHashmi, MJayakumar, DMarshall, JMcArthur, CMurthy, SWebb, SAcharya, SIshani, PJawad, IKhanal, SKoirala, KLuitel, SPabasara, UPaneru, HRKumar, APatel, SSRamakrishnan, NSalahuddin, NShaikh, MTolppa, TUdayanga, IUmrani, ZThe 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. |
spellingShingle | Aryal, D Beane, A Dondorp, A Green, C Haniffa, R Hashmi, M Jayakumar, D Marshall, J McArthur, C Murthy, S Webb, S Acharya, S Ishani, P Jawad, I Khanal, S Koirala, K Luitel, S Pabasara, U Paneru, HR Kumar, A Patel, SS Ramakrishnan, N Salahuddin, N Shaikh, M Tolppa, T Udayanga, I Umrani, Z 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 |
work_keys_str_mv | AT aryald operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT beanea operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT dondorpa operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT greenc operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT haniffar operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT hashmim operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT jayakumard operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT marshallj operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT mcarthurc operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT murthys operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT webbs operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT acharyas operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT ishanip operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT jawadi operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT khanals operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT koiralak operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT luitels operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT pabasarau operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT paneruhr operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT kumara operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT patelss operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT ramakrishnann operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT salahuddinn operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT shaikhm operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT tolppat operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT udayangai operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem AT umraniz operationalisationoftherandomizedembeddedmultifactorialadaptiveplatformforcovid19trialsinalowandlowermiddleincomecriticalcarelearninghealthsystem |