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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BMJ Publishing Group
2022-06-01
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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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institution | Kabale University |
issn | 2044-6055 |
language | English |
publishDate | 2022-06-01 |
publisher | BMJ Publishing Group |
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series | BMJ Open |
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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