OpenSAFELY, ISARIC, PHOSP: tracking consequences of COVID-19 infection across UK primary and secondary care.

OpenSAFELY、ISARIC、PHOSP：跟踪英国初级和二级护理中 COVID-19 感染的后果。

• 批准号: MR/W016729/1
• 负责人: Ben Goldacre
• 金额: $ 78.18万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FW016729%2F1
• 关键词: OpenSAFELY; ISARIC; PHOSP; tracking; consequences

While a large number of people who were diagnosed with COVID-19 have sadly died, there are still many people who survived having severe COVID. However, we know relatively little about people's experiences after this, in terms of how well they have recovered, and if they have additional healthcare needs when compared to similar people who did not have COVID-19. There are early reports of people experiencing "long COVID" - where the symptoms of COVID persist for many weeks, and also an increased likelihood of more serious outcomes like stroke and heart attacks.Understanding the experience of people recovering from COVID-19 better will help people and doctors to better understand the risks that they face, and to make informed choices about treatment during recovery. It will also help people who make decisions about providing healthcare services to determine what kind of services are needed, how many people they might have to treat and for how long after people have COVID-19 they might be required. Ultimately this could help to improve the outcomes of patients - helping them to recover to a greater extent, and/or more quickly.The OpenSAFELY project was set up at the beginning of the pandemic to provide urgent information on COVID-19. It contains information from the primary care (general practice) records of 40% of the English population. ISARIC contains detailed hospital records for people who were admitted to hospital with COVID-19. PHOSP contains data on symptoms and laboratory tests for people who were hospitalised with COVID-19 but were later discharged. These three data sources will be linked together to provide a much more powerful resource, where we can reliably determine what happens to COVID-19 patients after they are discharged from hospital. Specifically, we will measure the occurrence in COVID-19 patients of many different diagnoses, symptoms and other healthcare activities like treatments and lab tests. We will compare these to how often they occur in similar patients who did not have COVID-19, and will determine what sort of things might influence how often they occur. For example, people who are older or those with previous medical conditions might be more likely to experience adverse outcomes during their recovery. We will describe in detail which patient outcomes are most likely to occur, which patients are most likely to get them and how long the risk lasts for. We will then measure the impact of the risks that we measure on healthcare services to help plan services in future.

虽然大量被诊断患有COVID-19的人不幸去世，但仍有许多人在严重的COVID中幸存下来。然而，我们对人们在这之后的经历知之甚少，无论是他们恢复得有多好，还是与没有COVID-19的类似人群相比，他们是否有额外的医疗保健需求。早期有报道称，人们经历了“长期COVID”--即COVID的症状持续数周，而且出现中风和心脏病发作等更严重后果的可能性也在增加。更好地了解COVID-19康复者的经历将有助于人们和医生更好地了解他们面临的风险，并在康复期间做出明智的治疗选择。它还将帮助那些决定提供医疗服务的人确定需要什么样的服务，他们可能需要治疗多少人，以及人们感染COVID-19后需要多长时间。最终，这将有助于改善患者的预后，帮助他们更大程度和/或更快地康复。OpenSAFELY项目于疫情爆发之初成立，旨在提供有关COVID-19的紧急信息。它包含40%的英国人口的初级保健（全科实践）记录的信息。ISARIC包含因COVID-19入院的患者的详细住院记录。PHOSP包含因COVID-19住院但后来出院的人的症状和实验室检查数据。这三个数据源将被连接在一起，以提供一个更强大的资源，我们可以可靠地确定COVID-19患者出院后的情况。具体而言，我们将衡量COVID-19患者的许多不同诊断、症状和其他医疗活动（如治疗和实验室检查）的发生率。我们将把这些情况与没有感染COVID-19的类似患者的发生频率进行比较，并确定什么样的事情可能会影响它们的发生频率。例如，年龄较大或以前有医疗条件的人可能更有可能在康复期间经历不良后果。我们将详细描述哪些患者的结果最有可能发生，哪些患者最有可能得到它们以及风险持续多长时间。然后，我们将衡量我们衡量的风险对医疗服务的影响，以帮助规划未来的服务。

项目成果

The impact of Long COVID on Health-Related Quality-of-Life using OpenPROMPT

使用 OpenPROMPT 评估长期新冠肺炎对健康相关生活质量的影响

• DOI: 10.1101/2023.12.06.23299601
• 发表时间: 2023
• 作者: Carlile O

Eleven key measures for monitoring general practice clinical activity during COVID-19: A retrospective cohort study using 48 million adults' primary care records in England through OpenSAFELY.

• DOI: 10.7554/elife.84673
• 发表时间: 2023-07-27
• 期刊: eLife
• 影响因子: 7.7
• 作者: Fisher L;Curtis HJ;Croker R;Wiedemann M;Speed V;Wood C;Brown A;Hopcroft LEM;Higgins R;Massey J;Inglesby P;Morton CE;Walker AJ;Morley J;Mehrkar A;Bacon S;Hickman G;Macdonald O;Lewis T;Wood M;Myers M;Samuel M;Conibere R;Baqir W;Sood H;Drury C;Collison K;Bates C;Evans D;Dillingham I;Ward T;Davy S;Smith RM;Hulme W;Green A;Parry J;Hester F;Harper S;Cockburn J;O'Hanlon S;Eavis A;Jarvis R;Avramov D;Griffiths P;Fowles A;Parkes N;MacKenna B;Goldacre B
• 通讯作者: Goldacre B

Group A streptococcal cases and treatments during the COVID-19 pandemic and 2022 outbreak: a retrospective cohort study in England using OpenSAFELY-TPP

COVID-19 大流行和 2022 年爆发期间的 A 组链球菌病例和治疗：使用 OpenSAFELY-TPP 在英格兰进行的一项回顾性队列研究

• DOI: 10.1101/2023.09.22.23295850
• 发表时间: 2023
• 作者: Cunningham C

Eleven key measures for monitoring general practice clinical activity during COVID-19 using federated analytics on 48 million adults' primary care records through OpenSAFELY

通过 OpenSAFELY 对 4800 万成人初级保健记录进行联合分析，监测 COVID-19 期间全科临床活动的 11 项关键措施

• DOI: 10.1101/2022.10.17.22281058
• 发表时间: 2022
• 作者: Fisher L

OpenSAFELY NHS Service Restoration Observatory 2: changes in primary care clinical activity in England during the COVID-19 pandemic.

• DOI: 10.3399/bjgp.2022.0301
• 发表时间: 2023-05
• 期刊: The British journal of general practice : the journal of the Royal College of General Practitioners
• 作者: Curtis HJ;MacKenna B;Wiedemann M;Fisher L;Croker R;Morton CE;Inglesby P;Walker AJ;Morley J;Mehrkar A;Bacon SC;Hickman G;Evans D;Ward T;Davy S;Hulme WJ;Macdonald O;Conibere R;Lewis T;Myers M;Wanninayake S;Collison K;Drury C;Samuel M;Sood H;Cipriani A;Fazel S;Sharma M;Baqir W;Bates C;Parry J;Goldacre B;OpenSAFELY Collaborative
• 通讯作者: OpenSAFELY Collaborative