Common protocol for validation of the QCOVID algorithm across the four UK nations

Introduction The QCOVID algorithm is a risk prediction tool for infection and subsequent hospitalisation/death due to SARS-CoV-2. At the time of writing, it is being used in important policy-making decisions by the UK and devolved governments for combatting the COVID-19 pandemic, including deliberat...

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Main Authors: Ronan A Lyons, Aziz Sheikh, Vahe Nafilyan, Frank Kee, Carol Coupland, Julia Hippisley-Cox, Chris Robertson, Ben Humberstone, Jane Lyons, Christopher R Cardwell, Steven Kerr
Format: Article
Language:English
Published: BMJ Publishing Group 2022-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/12/6/e050994.full
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author Ronan A Lyons
Aziz Sheikh
Vahe Nafilyan
Frank Kee
Carol Coupland
Julia Hippisley-Cox
Chris Robertson
Ben Humberstone
Jane Lyons
Christopher R Cardwell
Steven Kerr
author_facet Ronan A Lyons
Aziz Sheikh
Vahe Nafilyan
Frank Kee
Carol Coupland
Julia Hippisley-Cox
Chris Robertson
Ben Humberstone
Jane Lyons
Christopher R Cardwell
Steven Kerr
author_sort Ronan A Lyons
collection DOAJ
description Introduction The QCOVID algorithm is a risk prediction tool for infection and subsequent hospitalisation/death due to SARS-CoV-2. At the time of writing, it is being used in important policy-making decisions by the UK and devolved governments for combatting the COVID-19 pandemic, including deliberations on shielding and vaccine prioritisation. There are four statistical validations exercises currently planned for the QCOVID algorithm, using data pertaining to England, Northern Ireland, Scotland and Wales, respectively. This paper presents a common procedure for conducting and reporting on validation exercises for the QCOVID algorithm.Methods and analysis We will use open, retrospective cohort studies to assess the performance of the QCOVID risk prediction tool in each of the four UK nations. Linked datasets comprising of primary and secondary care records, virological testing data and death registrations will be assembled in trusted research environments in England, Scotland, Northern Ireland and Wales. We will seek to have population level coverage as far as possible within each nation. The following performance metrics will be calculated by strata: Harrell’s C, Brier Score, R2 and Royston’s D.Ethics and dissemination Approvals have been obtained from relevant ethics bodies in each UK nation. Findings will be made available to national policy-makers, presented at conferences and published in peer-reviewed journal.
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spelling doaj-art-e6cdfd883da14df3a6c5cb59549f55162025-01-28T06:30:09ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2021-050994Common protocol for validation of the QCOVID algorithm across the four UK nationsRonan A Lyons0Aziz Sheikh1Vahe Nafilyan2Frank Kee3Carol Coupland4Julia Hippisley-Cox5Chris Robertson6Ben Humberstone7Jane Lyons8Christopher R Cardwell9Steven Kerr10Population Data Science, Swansea University, Swansea, Swansea, UKUsher Institute, University of Edinburgh College of Medicine and Veterinary Medicine, Edinburgh, UKMethodology, Office for National Statistics, Newport, UK1 Centre for Public Health, Queen`s University Belfast, Belfast, UK1 Division of Primary Care, University of Nottingham, Nottingham, UK10 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UKPublic Health Scotland, Glasgow and Edinburgh, UKOffice for National Statistics, London, UKSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia1 Centre for Public Health, Queen`s University Belfast, Belfast, UKUsher Institute, The University of Edinburgh, Edinburgh, UKIntroduction The QCOVID algorithm is a risk prediction tool for infection and subsequent hospitalisation/death due to SARS-CoV-2. At the time of writing, it is being used in important policy-making decisions by the UK and devolved governments for combatting the COVID-19 pandemic, including deliberations on shielding and vaccine prioritisation. There are four statistical validations exercises currently planned for the QCOVID algorithm, using data pertaining to England, Northern Ireland, Scotland and Wales, respectively. This paper presents a common procedure for conducting and reporting on validation exercises for the QCOVID algorithm.Methods and analysis We will use open, retrospective cohort studies to assess the performance of the QCOVID risk prediction tool in each of the four UK nations. Linked datasets comprising of primary and secondary care records, virological testing data and death registrations will be assembled in trusted research environments in England, Scotland, Northern Ireland and Wales. We will seek to have population level coverage as far as possible within each nation. The following performance metrics will be calculated by strata: Harrell’s C, Brier Score, R2 and Royston’s D.Ethics and dissemination Approvals have been obtained from relevant ethics bodies in each UK nation. Findings will be made available to national policy-makers, presented at conferences and published in peer-reviewed journal.https://bmjopen.bmj.com/content/12/6/e050994.full
spellingShingle Ronan A Lyons
Aziz Sheikh
Vahe Nafilyan
Frank Kee
Carol Coupland
Julia Hippisley-Cox
Chris Robertson
Ben Humberstone
Jane Lyons
Christopher R Cardwell
Steven Kerr
Common protocol for validation of the QCOVID algorithm across the four UK nations
BMJ Open
title Common protocol for validation of the QCOVID algorithm across the four UK nations
title_full Common protocol for validation of the QCOVID algorithm across the four UK nations
title_fullStr Common protocol for validation of the QCOVID algorithm across the four UK nations
title_full_unstemmed Common protocol for validation of the QCOVID algorithm across the four UK nations
title_short Common protocol for validation of the QCOVID algorithm across the four UK nations
title_sort common protocol for validation of the qcovid algorithm across the four uk nations
url https://bmjopen.bmj.com/content/12/6/e050994.full
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