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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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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. |
format | Online Article Text |
id | pubmed-9346309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
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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