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Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study

BACKGROUND: Emergency physicians lack high-quality evidence for many diagnostic and treatment decisions made for patients with suspected or confirmed coronavirus disease 2019 (COVID-19). Our objective is to describe the methods used to collect and ensure the data quality of a multicentre registry of...

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Autores principales: Hohl, Corinne M., Rosychuk, Rhonda J., McRae, Andrew D., Brooks, Steven C., Archambault, Patrick, Fok, Patrick T., Davis, Philip, Jelic, Tomislav, Turner, Joel P., Rowe, Brian H., Mercier, Éric, Cheng, Ivy, Taylor, John, Daoust, Raoul, Ohle, Robert, Andolfatto, Gary, Atzema, Clare, Hayward, Jake, Khangura, Jaspreet K., Landes, Megan, Lang, Eddy, Martin, Ian, Mohindra, Rohit, Ting, Daniel K., Vaillancourt, Samuel, Welsford, Michelle, Brar, Baljeet, Dahn, Tara, Wiemer, Hana, Yadav, Krishan, Yan, Justin W., Stachura, Maja, McGavin, Colleen, Perry, Jeffrey J., Morrison, Laurie J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Joule Inc. or its licensors 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096396/
https://www.ncbi.nlm.nih.gov/pubmed/33731427
http://dx.doi.org/10.9778/cmajo.20200290
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author Hohl, Corinne M.
Rosychuk, Rhonda J.
McRae, Andrew D.
Brooks, Steven C.
Archambault, Patrick
Fok, Patrick T.
Davis, Philip
Jelic, Tomislav
Turner, Joel P.
Rowe, Brian H.
Mercier, Éric
Cheng, Ivy
Taylor, John
Daoust, Raoul
Ohle, Robert
Andolfatto, Gary
Atzema, Clare
Hayward, Jake
Khangura, Jaspreet K.
Landes, Megan
Lang, Eddy
Martin, Ian
Mohindra, Rohit
Ting, Daniel K.
Vaillancourt, Samuel
Welsford, Michelle
Brar, Baljeet
Dahn, Tara
Wiemer, Hana
Yadav, Krishan
Yan, Justin W.
Stachura, Maja
McGavin, Colleen
Perry, Jeffrey J.
Morrison, Laurie J.
author_facet Hohl, Corinne M.
Rosychuk, Rhonda J.
McRae, Andrew D.
Brooks, Steven C.
Archambault, Patrick
Fok, Patrick T.
Davis, Philip
Jelic, Tomislav
Turner, Joel P.
Rowe, Brian H.
Mercier, Éric
Cheng, Ivy
Taylor, John
Daoust, Raoul
Ohle, Robert
Andolfatto, Gary
Atzema, Clare
Hayward, Jake
Khangura, Jaspreet K.
Landes, Megan
Lang, Eddy
Martin, Ian
Mohindra, Rohit
Ting, Daniel K.
Vaillancourt, Samuel
Welsford, Michelle
Brar, Baljeet
Dahn, Tara
Wiemer, Hana
Yadav, Krishan
Yan, Justin W.
Stachura, Maja
McGavin, Colleen
Perry, Jeffrey J.
Morrison, Laurie J.
author_sort Hohl, Corinne M.
collection PubMed
description BACKGROUND: Emergency physicians lack high-quality evidence for many diagnostic and treatment decisions made for patients with suspected or confirmed coronavirus disease 2019 (COVID-19). Our objective is to describe the methods used to collect and ensure the data quality of a multicentre registry of patients presenting to the emergency department with suspected or confirmed COVID-19. METHODS: This methodology study describes a population-based registry that has been enrolling consecutive patients presenting to the emergency department with suspected or confirmed COVID-19 since Mar. 1, 2020. Most data are collected from retrospective chart review. Phone follow-up with patients at 30 days captures the World Health Organization clinical improvement scale and contextual, social and cultural variables. Phone follow-up also captures patient-reported quality of life using the Veterans Rand 12-Item Health Survey at 30 days, 60 days, 6 months and 12 months. Fifty participating emergency departments from 8 provinces in Canada currently enrol patients into the registry. INTERPRETATION: Data from the registry of the Canadian COVID-19 Emergency Department Rapid Response Network will be used to derive and validate clinical decision rules to inform clinical decision-making, describe the natural history of the disease, evaluate COVID-19 diagnostic tests and establish the real-world effectiveness of treatments and vaccines, including in populations that are excluded or underrepresented in clinical trials. This registry has the potential to generate scientific evidence to inform our pandemic response, and to serve as a model for the rapid implementation of population-based data collection protocols for future public health emergencies. TRIAL REGISTRATION: Clinicaltrials.gov, no. NCT04702945
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spelling pubmed-80963962021-05-07 Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study Hohl, Corinne M. Rosychuk, Rhonda J. McRae, Andrew D. Brooks, Steven C. Archambault, Patrick Fok, Patrick T. Davis, Philip Jelic, Tomislav Turner, Joel P. Rowe, Brian H. Mercier, Éric Cheng, Ivy Taylor, John Daoust, Raoul Ohle, Robert Andolfatto, Gary Atzema, Clare Hayward, Jake Khangura, Jaspreet K. Landes, Megan Lang, Eddy Martin, Ian Mohindra, Rohit Ting, Daniel K. Vaillancourt, Samuel Welsford, Michelle Brar, Baljeet Dahn, Tara Wiemer, Hana Yadav, Krishan Yan, Justin W. Stachura, Maja McGavin, Colleen Perry, Jeffrey J. Morrison, Laurie J. CMAJ Open Research BACKGROUND: Emergency physicians lack high-quality evidence for many diagnostic and treatment decisions made for patients with suspected or confirmed coronavirus disease 2019 (COVID-19). Our objective is to describe the methods used to collect and ensure the data quality of a multicentre registry of patients presenting to the emergency department with suspected or confirmed COVID-19. METHODS: This methodology study describes a population-based registry that has been enrolling consecutive patients presenting to the emergency department with suspected or confirmed COVID-19 since Mar. 1, 2020. Most data are collected from retrospective chart review. Phone follow-up with patients at 30 days captures the World Health Organization clinical improvement scale and contextual, social and cultural variables. Phone follow-up also captures patient-reported quality of life using the Veterans Rand 12-Item Health Survey at 30 days, 60 days, 6 months and 12 months. Fifty participating emergency departments from 8 provinces in Canada currently enrol patients into the registry. INTERPRETATION: Data from the registry of the Canadian COVID-19 Emergency Department Rapid Response Network will be used to derive and validate clinical decision rules to inform clinical decision-making, describe the natural history of the disease, evaluate COVID-19 diagnostic tests and establish the real-world effectiveness of treatments and vaccines, including in populations that are excluded or underrepresented in clinical trials. This registry has the potential to generate scientific evidence to inform our pandemic response, and to serve as a model for the rapid implementation of population-based data collection protocols for future public health emergencies. TRIAL REGISTRATION: Clinicaltrials.gov, no. NCT04702945 Joule Inc. or its licensors 2021-03-16 /pmc/articles/PMC8096396/ /pubmed/33731427 http://dx.doi.org/10.9778/cmajo.20200290 Text en © 2021 Joule Inc. or its licensors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY-NC-ND 4.0) licence, which permits use, distribution and reproduction in any medium, provided that the original publication is properly cited, the use is noncommercial (i.e., research or educational use), and no modifications or adaptations are made. See: https://creativecommons.org/licenses/by-nc-nd/4.0/
spellingShingle Research
Hohl, Corinne M.
Rosychuk, Rhonda J.
McRae, Andrew D.
Brooks, Steven C.
Archambault, Patrick
Fok, Patrick T.
Davis, Philip
Jelic, Tomislav
Turner, Joel P.
Rowe, Brian H.
Mercier, Éric
Cheng, Ivy
Taylor, John
Daoust, Raoul
Ohle, Robert
Andolfatto, Gary
Atzema, Clare
Hayward, Jake
Khangura, Jaspreet K.
Landes, Megan
Lang, Eddy
Martin, Ian
Mohindra, Rohit
Ting, Daniel K.
Vaillancourt, Samuel
Welsford, Michelle
Brar, Baljeet
Dahn, Tara
Wiemer, Hana
Yadav, Krishan
Yan, Justin W.
Stachura, Maja
McGavin, Colleen
Perry, Jeffrey J.
Morrison, Laurie J.
Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study
title Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study
title_full Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study
title_fullStr Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study
title_full_unstemmed Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study
title_short Development of the Canadian COVID-19 Emergency Department Rapid Response Network population-based registry: a methodology study
title_sort development of the canadian covid-19 emergency department rapid response network population-based registry: a methodology study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096396/
https://www.ncbi.nlm.nih.gov/pubmed/33731427
http://dx.doi.org/10.9778/cmajo.20200290
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