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OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England

Background: Since its inception in March 2020, data from the OpenSAFELY-TPP electronic health record platform has been used for more than 20 studies relating to the global COVID-19 emergency. OpenSAFELY-TPP data is derived from practices in England using SystmOne software, and has been used for the...

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Autores principales: Andrews, Colm, Schultze, Anna, Curtis, Helen, Hulme, William, Tazare, John, Evans, Stephen, Mehrkar, Amir, Bacon, Sebastian, Hickman, George, Bates, Christopher, Parry, John, Hester, Frank, Harper, Sam, Cockburn, Jonathan, Evans, David, Ward, Tom, Davy, Simon, Inglesby, Peter, Goldacre, Ben, MacKenna, Brian, Tomlinson, Laurie, Walker, Alex
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346309/
https://www.ncbi.nlm.nih.gov/pubmed/35966958
http://dx.doi.org/10.12688/wellcomeopenres.18010.1
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author Andrews, Colm
Schultze, Anna
Curtis, Helen
Hulme, William
Tazare, John
Evans, Stephen
Mehrkar, Amir
Bacon, Sebastian
Hickman, George
Bates, Christopher
Parry, John
Hester, Frank
Harper, Sam
Cockburn, Jonathan
Evans, David
Ward, Tom
Davy, Simon
Inglesby, Peter
Goldacre, Ben
MacKenna, Brian
Tomlinson, Laurie
Walker, Alex
author_facet Andrews, Colm
Schultze, Anna
Curtis, Helen
Hulme, William
Tazare, John
Evans, Stephen
Mehrkar, Amir
Bacon, Sebastian
Hickman, George
Bates, Christopher
Parry, John
Hester, Frank
Harper, Sam
Cockburn, Jonathan
Evans, David
Ward, Tom
Davy, Simon
Inglesby, Peter
Goldacre, Ben
MacKenna, Brian
Tomlinson, Laurie
Walker, Alex
author_sort Andrews, Colm
collection PubMed
description Background: Since its inception in March 2020, data from the OpenSAFELY-TPP electronic health record platform has been used for more than 20 studies relating to the global COVID-19 emergency. OpenSAFELY-TPP data is derived from practices in England using SystmOne software, and has been used for the majority of these studies. We set out to investigate the representativeness of OpenSAFELY-TPP data by comparing it to national population estimates.    Methods: With the approval of NHS England, we describe the age, sex, Index of Multiple Deprivation and ethnicity of the OpenSAFELY-TPP population compared to national estimates from the Office for National Statistics. The five leading causes of death occurring between the 1st January 2020 and the 31st December 2020 were also compared to deaths registered in England during the same period.  Results: Despite regional variations, TPP is largely representative of the general population of England in terms of IMD (all within 1.1 percentage points), age, sex (within 0.1 percentage points), ethnicity and causes of death. The proportion of the five leading causes of death is broadly similar to those reported by ONS (all within 1 percentage point).  Conclusions: Data made available via OpenSAFELY-TPP is broadly representative of the English population. Users of OpenSAFELY must consider the issues of representativeness, generalisability and external validity associated with using TPP data for health research. Although the coverage of TPP practices varies regionally across England, TPP registered patients are generally representative of the English population as a whole in terms of key demographic characteristics.
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spelling pubmed-93463092022-08-11 OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England Andrews, Colm Schultze, Anna Curtis, Helen Hulme, William Tazare, John Evans, Stephen Mehrkar, Amir Bacon, Sebastian Hickman, George Bates, Christopher Parry, John Hester, Frank Harper, Sam Cockburn, Jonathan Evans, David Ward, Tom Davy, Simon Inglesby, Peter Goldacre, Ben MacKenna, Brian Tomlinson, Laurie Walker, Alex Wellcome Open Res Research Article Background: Since its inception in March 2020, data from the OpenSAFELY-TPP electronic health record platform has been used for more than 20 studies relating to the global COVID-19 emergency. OpenSAFELY-TPP data is derived from practices in England using SystmOne software, and has been used for the majority of these studies. We set out to investigate the representativeness of OpenSAFELY-TPP data by comparing it to national population estimates.    Methods: With the approval of NHS England, we describe the age, sex, Index of Multiple Deprivation and ethnicity of the OpenSAFELY-TPP population compared to national estimates from the Office for National Statistics. The five leading causes of death occurring between the 1st January 2020 and the 31st December 2020 were also compared to deaths registered in England during the same period.  Results: Despite regional variations, TPP is largely representative of the general population of England in terms of IMD (all within 1.1 percentage points), age, sex (within 0.1 percentage points), ethnicity and causes of death. The proportion of the five leading causes of death is broadly similar to those reported by ONS (all within 1 percentage point).  Conclusions: Data made available via OpenSAFELY-TPP is broadly representative of the English population. Users of OpenSAFELY must consider the issues of representativeness, generalisability and external validity associated with using TPP data for health research. Although the coverage of TPP practices varies regionally across England, TPP registered patients are generally representative of the English population as a whole in terms of key demographic characteristics. F1000 Research Limited 2022-07-18 /pmc/articles/PMC9346309/ /pubmed/35966958 http://dx.doi.org/10.12688/wellcomeopenres.18010.1 Text en Copyright: © 2022 Andrews C et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Andrews, Colm
Schultze, Anna
Curtis, Helen
Hulme, William
Tazare, John
Evans, Stephen
Mehrkar, Amir
Bacon, Sebastian
Hickman, George
Bates, Christopher
Parry, John
Hester, Frank
Harper, Sam
Cockburn, Jonathan
Evans, David
Ward, Tom
Davy, Simon
Inglesby, Peter
Goldacre, Ben
MacKenna, Brian
Tomlinson, Laurie
Walker, Alex
OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England
title OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England
title_full OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England
title_fullStr OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England
title_full_unstemmed OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England
title_short OpenSAFELY: Representativeness of electronic health record platform OpenSAFELY-TPP data compared to the population of England
title_sort opensafely: representativeness of electronic health record platform opensafely-tpp data compared to the population of england
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9346309/
https://www.ncbi.nlm.nih.gov/pubmed/35966958
http://dx.doi.org/10.12688/wellcomeopenres.18010.1
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