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Urgent research and surveillance on Covid-19 using the new OpenSAFELY secure platform across 55 million patients' full linked primary care records

Urgent research and surveillance on Covid-19 using the new OpenSAFELY secure platform across 55 million patients' full linked primary care records
使用新的 OpenSAFELY 安全平台对 5500 万患者的完整链接初级保健记录进行针对 Covid-19 的紧急研究和监测
批准号:
MR/V015737/1
负责人:
Ben Goldacre
金额:
$166.49万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
We are delivering a platform for analysing healthcare data, currently including 27 million patients' GP records (with identifiable information removed), soon expanding to 55 million. This unprecedented scale is needed for rapid results during Covid-19.OpenSAFELY uses a new model for maximum efficiency and privacy: rather than copying large volumes of information from GP records into another location, which involves security risks, we have instead built a secure analytics platform inside the data centres where GP records already reside, and linked to all relevant Covid-19 outcomes data such as death records and intensive care.We have set this up rapidly and our first analyses are already complete. We now urgently need funds to sustain the platform, and to accelerate and expand our work on the following three workstreams:1) Further research to identify which patients are at higher risk of admission, ventilation and death from Covid-19, to inform management, seclusion advice, service planning, and underlying mechanisms behind these findings (e.g. is there higher risk among BAME groups simply because of previous medical conditions?); and to explore hypotheses on certain drugs helping to protect people against poor outcomes, including ibuprofen, asthma drugs, anticoagulants, and other treatments. 2) Predicting local spread and service need, and evaluating exit strategies from lockdown, by creating models of disease transmission which combine "disease-dynamics" approaches with detailed clinical data on Covid-19 prevalence and the population at risk in every local area.3) Measuring and mitigating the indirect health impacts of Covid-19 on, for example, cancer diagnosis and referrals, cardiovascular management, vaccinations, etc, and identifying urgent necessary actions both nationally and in smaller regions.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1101/2021.07.16.21260628
发表时间: 2021-07
期刊:
影响因子: --
作者: [K. Bhaskaran;C. Rentsch;G. Hickman;W. Hulme;Anna Schultze;H. Curtis;K. Wing;C. Warren-Gash;L. Tomlinson;C. Bates;R. Mathur;B. Mackenna;V. Mahalingasivam;A. Wong;A. Walker;C. Morton;D. Grint;A. Mehrkar;R. Eggo;P. Inglesby;I. Douglas;H. Mcdonald;J. Cockburn;E. Williamson;D. Evans;J. Parry;F. Hester;S. Harper;S. Evans;S. Bacon;L. Smeeth;B. Goldacre]
通讯作者: K. Bhaskaran;C. Rentsch;G. Hickman;W. Hulme;Anna Schultze;H. Curtis;K. Wing;C. Warren-Gash;L. Tomlinson;C. Bates;R. Mathur;B. Mackenna;V. Mahalingasivam;A. Wong;A. Walker;C. Morton;D. Grint;A. Mehrkar;R. Eggo;P. Inglesby;I. Douglas;H. Mcdonald;J. Cockburn;E. Williamson;D. Evans;J. Parry;F. Hester;S. Harper;S. Evans;S. Bacon;L. Smeeth;B. Goldacre
DOI: 10.1016/s2352-3018(20)30305-2
发表时间: 2021-01
期刊: The lancet. HIV
影响因子: --
作者: [Bhaskaran K, Rentsch CT, MacKenna B, Schultze A, Mehrkar A, Bates CJ, Eggo RM, Morton CE, Bacon SCJ, Inglesby P, Douglas IJ, Walker AJ, McDonald HI, Cockburn J, Williamson EJ, Evans D, Forbes HJ, Curtis HJ, Hulme WJ, Parry J, Hester F, Harper S, Evans SJW, Smeeth L, Goldacre B]
通讯作者: Goldacre B
DOI: 10.12688/wellcomeopenres.18010.1
发表时间: 2022
期刊: Wellcome open research
影响因子: --
作者: []
通讯作者:
OpenSAFELY: Representativeness of Electronic Health Record platform OpenSAFELY-TPP data compared to the population of England
OpenSAFELY:电子健康记录平台 OpenSAFELY-TPP 数据与英格兰人口相比的代表性
DOI: 10.1101/2022.06.23.22276802
发表时间: 2022
期刊:
影响因子: --
作者: [Andrews C]
通讯作者: Andrews C
6
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