Getting trustworthy guidelines into the hands of decision-makers and supporting their consideration of contextual factors for implementation globally: recommendation mapping of COVID-19 guidelines

https://doi.org/10.1016/j.jclinepi.2021.03.034Get rights and content

Abstract

Published research on COVID-19 is increasing rapidly and integrated in guidelines. The trustworthiness of guidelines can vary depending on the methods used to assemble and evaluate the evidence, the completeness and transparency of reporting on the process undertaken and how conflicts of interest are addressed.

With a global consortium of partners and collaborators, we have created a catalogue of COVID-19 recommendations as our direct response to the increased need for structured access to high quality guidance in the field. The COVID19 map of recommendations and gateway to contextualization (https://covid19.recmap.org) is a living project: emerging guideline literature is added on an ongoing basis, allowing granular access to individual recommendations.

Building on prior work on mapping recommendations for the World Health Organization tuberculosis guidelines, a novel feature of this map is the self-directed contextualization of the recommendations using the GRADE-Adolopment approach to adopt, adapt or synthesize de novo recommendations for context specific questions. Through our map, stakeholders access the evidence underpinning a recommendation, select what needs to be contextualized and go through the steps of development of adapted recommendations. This one-stop shop portal of evidence-informed recommendations, built with intuitive functionalities, easy to navigate and with a support team ready to guide users across the maps, represents a long-needed tool for decision-makers, guideline developers and the public at large.

Keywords

COVID-19
Knowledge translation
Public health
Internet portal
Guidelines
Living recommendations
Quality appraisal
Health policy
GRADE

Cited by (0)

Declaration of competing interest: The following authors declare no conflict of interest: TL, AS, EAA, MF, TK, JLM, HS, TP, KP, AFT, AI, WA, WW, DM, ML, ZM, LM, YC, SF, MXR, GR, MK, LM, GV, VW, LK, PR, DC, MS.

The following authors are principal applicants on the grant received to conduct the work but declare no bias: EAA, MF, TK, JLM, HS.

The following authors have received payment to conduct the work but declare no bias for this manuscript: MM, OD, ZS, REK, ZN, KS, HH, LK, JK, JK, EG, LK, SD, AM, MIS.

#

Collaborators: Ruby Pawankar, Thomas Piggott, Kevin Pottie, Alexis F. Turgeon, Micayla Matthews, Omar Dewidar, Alfonso Iorio, Waleed Alhazzani, Zahra Saad, Wojtek Wiercioch, Rayane El-khoury, Dominik Mertz, Miranda Langendam, Zachary Munn, Lawrence Mbuagbaw, Zil Nasir, Karla Solo, Heba Hussein, Yuan Chi, Lara Kahale, Joanne Khabsa, Signe Flottorp, Jitka Klugarová, María Ximena Rojas, Gabriel Rada, Miloslav Klugar, Lorenzo Moja, Gunn Vist, Vivian Welch, Elizabeth Ghogomu, Lucia Kantorová, Priyadharshini Ramakrishnan, Derek K. Chu, Stephanie Duda, Ammar Mektebi, Muhammad Ismail Shawish, Maureen Smith.

Non-author contributors: Mohamad Tarek Madani, Mark Loeb, Funeka Bango, Megan Thomas, Dina M. Sami Khalifa, Artur Nowak, Lisa Hartling, Joerg J Meerpohl, Marge Reinap, Reem Mustafa, Sarah Scott (NICE), Binu Abraham Philip, Verônica Colpani, Tanja Kuchenmüller, Nayê Balzan Schneider, Stephanie Duda, Romina Brignardello-Petersen, Ashley Motilall, Antonio Bognanni, Sura Issa, Sabrina Price, Pablo Alonso-Coello, Ludovic Reveiz, Pema Gurung

View Abstract