养老院居民容易受到COVID-19和流感等感染的严重后果。然而,控制疫情的措施,例如关闭访客的养老院和新入院,对他们的生活质量有不利影响。许多感染和爆发是可以预防的,但第一步是可靠地测量它们。由于缺乏数据和研究基础设施,这在养老院中具有挑战性。大流行期间,VIVALDI研究通过与护理提供者合作并使用常规收集的数据,测量了住院医师和工作人员的COVID-19感染.这项研究旨在建立哨点监测和研究数据库,以便在养老院进行观察性和未来的干预性研究。该项目已与护理提供者共同制作,工作人员,居民,亲戚,和研究人员。这项研究(2023年10月至2025年3月)将探讨在英格兰建立一个由500-1500个老年人护理院组成的网络的可行性,该网络以链接数据平台为基础。不会从工作人员那里收集任何数据。该队列将通过定期从数字社会关怀记录(DSCR)中提取居民标识符来创建,其次是假名化和链接到常规收集的数据集。经过广泛的咨询,我们决定不寻求居民的知情同意来收集数据,但他们可以选择退出这项研究。我们的目标是包容,由于认知障碍和对咨询者的要求,让每个居民都有机会“选择加入”是具有挑战性的。该项目,所有使用数据的请求都将由亲戚监督,居民,工作人员,和护理提供者。该研究已获得卫生研究机构保密咨询小组(23/CAG/0134&0135)和西南法国研究伦理委员会(23/SW/0105)的批准。它由英国卫生安全局资助。
流感或COVID-19等感染在养老院很常见,受感染的居民可能会变得严重不适。当感染传播时,经常用来阻止疫情爆发的措施,就像养老院关闭访客和新入院一样,会对居民产生不利影响。解决这个问题的第一步是能够测量感染和爆发发生的频率,以及护理院之间的差异。目前这很困难,因为没有系统可以从养老院居民那里收集数据。在COVID-19大流行期间,养老院与研究人员和政府合作开展了一项名为VIVALDI的研究,该研究测量了居民和工作人员的COVID-19感染情况,并监测了他们发生的情况。这项试点研究以我们在大流行中学到的知识为基础,旨在减少常见感染对居民的影响。我们将在英格兰为有兴趣进行研究的老年人建立一个由500-1500个护理院组成的网络。通过从这些家庭的居民那里收集有限的数据(NHS数字),并链接到已经在安全的NHS环境中保存的其他数据集,我们可以测量居民感染的程度。我们没有从员工那里收集数据,无法识别数据集中的任何居民。我们还将创建一个匿名数据库(名称,出生日期,NHS编号已删除),研究人员可以用它来寻找预防养老院感染的新方法。这将由研究小组安全存储。如果项目成功,居民和亲戚支持它,我们希望这种方法可以永久用于监测养老院的感染情况。这项研究是与护理提供者合作设计的,经验丰富的护理人员,政策制定者,学者,居民和他们的亲属,他还将监督这项研究和所有研究成果。
Care home residents are vulnerable to severe outcomes from infections such as COVID-19 and influenza. However, measures to control
outbreaks, such as care home closures to visitors and new admissions, have a detrimental impact on their quality of life. Many infections and
outbreaks could be prevented but the first step is to measure them reliably. This is challenging in care homes due to the lack of data and research infrastructure. During the pandemic, the VIVALDI study measured COVID-19 infections in residents and staff by partnering with care providers and using routinely collected data. This study aims to establish sentinel surveillance and a research database to enable observational and future interventional studies in care homes. The project has been co-produced with care providers, staff, residents, relatives, and researchers. The study (October 2023 to March 2025) will explore the feasibility of establishing a network of 500-1500 care homes for older adults in England that is underpinned by a linked data platform. No data will be collected from staff. The cohort will be created by regularly extracting resident identifiers from Digital Social Care Records (DSCR), followed by pseudonymisation and linkage to routinely collected datasets. Following extensive consultation, we decided not to seek informed consent from residents for data collection, but they can \'opt out\' of the study. Our goal is to be inclusive, and it is challenging to give every resident the opportunity to \'opt in\' due to cognitive impairment and the requirement for consultees. The project, and all requests to use the data will be overseen by relatives, residents, staff, and care providers. The study has been approved by the Health Research Authority Confidentiality Advisory Group (23/CAG/0134&0135) and the South-West Frenchay Research Ethics Committee (23/SW/0105). It is funded by the UK Health Security Agency.
Infections like flu or COVID-19 are common in care homes and infected residents can become seriously unwell. When infections spread, the measures that are often used to stop
outbreaks, like care home closures to visitors and new admissions, can have a detrimental impact on residents. The first step to solving this problem is being able to measure how often infections and
outbreaks happen, and how this varies across care homes. This is currently difficult because there are no systems to collect data from care home residents. During the COVID-19 pandemic, care homes worked with researchers and Government to deliver a research study called VIVALDI which measured COVID-19 infections in residents and staff and monitored what happened to them. This pilot study builds on what we learned in the pandemic and aims to reduce the impact of common infections on residents. We will set up a network of 500-1500 care homes for older adults in England that are interested in research. By collecting limited data (NHS numbers) from residents in these homes and linking to other datasets already held in the secure NHS environment, we can measure the extent of infections in residents. We are not collecting data from staff, and any residents in the datasets cannot be identified. We will also create an anonymous database (names, dates of birth, NHS numbers removed), which researchers can use to find new ways to prevent infection in care homes. This will be stored securely by the research team. If the project is successful, and residents and relatives support it, we hope this approach can be used permanently to monitor infections in care homes. The study has been designed in partnership with care providers, experienced care staff, policymakers, academics, and residents and their relatives, who will also oversee the study and all research outputs.