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OpenSAFELY:电子健康记录平台OpenSAFELY-TPP数据与英格兰人口的代表性比较。

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

作者信息

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

机构信息

Bennett Institute of Applied Data Science, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, Oxon, OX26GG,, UK.

London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.

出版信息

Wellcome Open Res. 2022 Jul 18;7:191. doi: 10.12688/wellcomeopenres.18010.1. eCollection 2022.

DOI:10.12688/wellcomeopenres.18010.1
PMID:35966958
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9346309/
Abstract

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.    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.  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).  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.

摘要

自2020年3月成立以来,OpenSAFELY-TPP电子健康记录平台的数据已被用于20多项与全球新冠疫情紧急情况相关的研究。OpenSAFELY-TPP数据源自英格兰使用SystmOne软件的医疗机构,并且在这些研究中大部分都使用了该数据。我们通过将OpenSAFELY-TPP数据与全国人口估计数进行比较,来研究其代表性。

在英格兰国民保健服务体系(NHS)的批准下,我们将OpenSAFELY-TPP人群的年龄、性别、多重剥夺指数和种族与国家统计局的全国估计数进行了比较。我们还比较了2020年1月1日至2020年12月31日期间的五大主要死因与同期英格兰登记的死亡情况。

尽管存在地区差异,但在多重剥夺指数方面(均在1.1个百分点以内)、年龄、性别(在0.1个百分点以内)、种族和死因方面,TPP在很大程度上代表了英格兰的普通人群。五大主要死因的比例与国家统计局报告的比例大致相似(均在1个百分点以内)。

通过OpenSAFELY-TPP提供的数据在很大程度上代表了英国人口。OpenSAFELY的用户在将TPP数据用于健康研究时,必须考虑与代表性、普遍性和外部有效性相关的问题。尽管TPP医疗机构的覆盖范围在英格兰各地存在地区差异,但就关键人口特征而言,TPP登记的患者总体上代表了整个英国人口。

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