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Investigating the uptake, effectiveness and safety of COVID-19 vaccines: protocol for an observational study using linked UK national data.
Vasileiou, Eleftheria; Shi, Ting; Kerr, Steven; Robertson, Chris; Joy, Mark; Tsang, Ruby; McGagh, Dylan; Williams, John; Hobbs, Richard; de Lusignan, Simon; Bradley, Declan; OReilly, Dermot; Murphy, Siobhan; Chuter, Antony; Beggs, Jillian; Ford, David; Orton, Chris; Akbari, Ashley; Bedston, Stuart; Davies, Gareth; Griffiths, Lucy J; Griffiths, Rowena; Lowthian, Emily; Lyons, Jane; Lyons, Ronan A; North, Laura; Perry, Malorie; Torabi, Fatemeh; Pickett, James; McMenamin, Jim; McCowan, Colin; Agrawal, Utkarsh; Wood, Rachael; Stock, Sarah Jane; Moore, Emily; Henery, Paul; Simpson, Colin R; Sheikh, Aziz.
Afiliação
  • Vasileiou E; The University of Edinburgh, Usher Institute, Edinburgh, UK eleftheria.vasileiou@ed.ac.uk.
  • Shi T; The University of Edinburgh, Usher Institute, Edinburgh, UK.
  • Kerr S; The University of Edinburgh, Usher Institute, Edinburgh, UK.
  • Robertson C; Department of Mathematics and Statistics, University of Strathclyde, Glasgow, UK.
  • Joy M; Public Health Scotland, Glasgow, UK.
  • Tsang R; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • McGagh D; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Williams J; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Hobbs R; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • de Lusignan S; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • Bradley D; Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
  • OReilly D; School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
  • Murphy S; School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
  • Chuter A; School of Medicine, Dentistry and Biomedical Sciences, Queen's University Belfast, Belfast, UK.
  • Beggs J; BREATHE - The Health Data Research Hub for Respiratory Health, London, UK.
  • Ford D; BREATHE - The Health Data Research Hub for Respiratory Health, London, UK.
  • Orton C; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Akbari A; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Bedston S; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Davies G; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Griffiths LJ; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Griffiths R; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Lowthian E; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Lyons J; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Lyons RA; Population Data Science, Swansea University Medical School, Swansea, UK.
  • North L; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Perry M; Population Data Science, Swansea University Medical School, Swansea, UK.
  • Torabi F; Vaccine Preventable Disease Programme, Public Health Wales, Cardiff, UK.
  • Pickett J; Population Data Science, Swansea University Medical School, Swansea, UK.
  • McMenamin J; Health Data Research, London, UK.
  • McCowan C; Public Health Scotland, Glasgow, UK.
  • Agrawal U; School of Medicine, University of St Andrews, St Andrews, UK.
  • Wood R; School of Medicine, University of St Andrews, St Andrews, UK.
  • Stock SJ; The University of Edinburgh, Usher Institute, Edinburgh, UK.
  • Moore E; Public Health Scotland, Edinburgh, UK.
  • Henery P; The University of Edinburgh, Usher Institute, Edinburgh, UK.
  • Simpson CR; Public Health Scotland, Edinburgh, UK.
  • Sheikh A; Public Health Scotland, Glasgow, UK.
BMJ Open ; 12(2): e050062, 2022 02 14.
Article em En | MEDLINE | ID: mdl-35165107
ABSTRACT

INTRODUCTION:

The novel coronavirus SARS-CoV-2, which emerged in December 2019, has caused millions of deaths and severe illness worldwide. Numerous vaccines are currently under development of which a few have now been authorised for population-level administration by several countries. As of 20 September 2021, over 48 million people have received their first vaccine dose and over 44 million people have received their second vaccine dose across the UK. We aim to assess the uptake rates, effectiveness, and safety of all currently approved COVID-19 vaccines in the UK. METHODS AND

ANALYSIS:

We will use prospective cohort study designs to assess vaccine uptake, effectiveness and safety against clinical outcomes and deaths. Test-negative case-control study design will be used to assess vaccine effectiveness (VE) against laboratory confirmed SARS-CoV-2 infection. Self-controlled case series and retrospective cohort study designs will be carried out to assess vaccine safety against mild-to-moderate and severe adverse events, respectively. Individual-level pseudonymised data from primary care, secondary care, laboratory test and death records will be linked and analysed in secure research environments in each UK nation. Univariate and multivariate logistic regression models will be carried out to estimate vaccine uptake levels in relation to various population characteristics. VE estimates against laboratory confirmed SARS-CoV-2 infection will be generated using a generalised additive logistic model. Time-dependent Cox models will be used to estimate the VE against clinical outcomes and deaths. The safety of the vaccines will be assessed using logistic regression models with an offset for the length of the risk period. Where possible, data will be meta-analysed across the UK nations. ETHICS AND DISSEMINATION We obtained approvals from the National Research Ethics Service Committee, Southeast Scotland 02 (12/SS/0201), the Secure Anonymised Information Linkage independent Information Governance Review Panel project number 0911. Concerning English data, University of Oxford is compliant with the General Data Protection Regulation and the National Health Service (NHS) Digital Data Security and Protection Policy. This is an approved study (Integrated Research Application ID 301740, Health Research Authority (HRA) Research Ethics Committee 21/HRA/2786). The Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub meets NHS Digital's Data Security and Protection Toolkit requirements. In Northern Ireland, the project was approved by the Honest Broker Governance Board, project number 0064. Findings will be made available to national policy-makers, presented at conferences and published in peer-reviewed journals.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 Idioma: En Ano de publicação: 2022 Tipo de documento: Article