课题基金 / 基金详情

Cardiovascular Disease and Diabetes Cohorts Trusted Research Environment (CVDD Cohorts TRE)

Cardiovascular Disease and Diabetes Cohorts Trusted Research Environment (CVDD Cohorts TRE)
心血管疾病和糖尿病队列可信研究环境 (CVDD Cohorts TRE)
批准号:
MR/X013928/1
负责人:
Cathie Sudlow
金额:
$99.78万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

项目摘要

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中文摘要
翻译
英国各地有许多研究收集特定疾病患者的详细信息,并旨在多年跟踪他们的健康状况。这些研究被称为队列研究。它们使研究人员能够研究疾病的原因,更好地了解它们如何影响患者,并开发新的诊断和治疗方法。在他们同意的情况下,这些研究直接从患者(使用问卷和测量)以及从专科医院和临床信息系统收集数据,包括成像扫描。他们还可能收集血液样本进行实验室测量,并从参与研究的患者佩戴的手机应用程序和监测设备中收集信息。所有这些信息都被收集到一个数据库中。当与参与研究的患者的健康数据结合在一起时,它对于研究分析特别有价值,这些患者在发病前以及在确诊后多年的随访期间。这些健康数据可以从国家NHS组织收集和持有的数据库中获得,包括医院就诊、药店配药和死亡证明的数据。从这些国家数据库中获取信息具有挑战性、耗时、成本高昂,因此并不总是成功。它包括了解从哪个NHS组织获得哪些数据,完成复杂的申请,并获得每个相关组织的批准。队列还需要提供一个安全的环境来接收和保存数据,将其与其他研究数据联系在一起,并为研究人员提供安全可靠的访问以进行他们的研究分析。该提案旨在为英国范围内的心脏病和循环系统疾病(心脏病发作、心力衰竭和中风等所谓的心血管疾病)和糖尿病患者提供一个单一的平台来克服这些挑战。一个专门的、经验丰富的团队将协调队列的申请和批准,以从国家NHS数据库获得数据。一个经过精心挑选的专业提供商将提供一个安全的平台,以保存每个队列收集的所有数据,并将其与国家NHS数据库中的额外数据联系起来。专家健康数据科学家将在管理、检查、解释和分析这些额外的NHS关联数据方面为队列提供支持。来自每个队列的数据将保存在平台内单独的安全空间中。获准对队列研究数据进行分析的研究人员不会将数据带出平台,而是通过安全登录在平台内远程访问数据。为了保护参与的患者的隐私,所有可以识别他们的信息(例如姓名、确切出生日期和NHS号码)都将安全地保存在平台的单独部分。这些可识别的信息只能由极少数指定的队列研究人员出于必要目的才能获得。研究人员将不会访问任何这些可识别的信息。该平台还将提供专家工具,对每个队列收集的许多不同类型的数据进行综合分析。这一单一平台将允许研究人员回答关键的研究问题,以比目前更快、更安全和更低的成本改善对心血管疾病和糖尿病患者的护理。在未来,它可以扩大到支持对患有广泛其他疾病的患者队列的研究。
英文摘要
There are many studies across the UK that collect detailed information about patients with particular diseases and aim to follow their health over many years. These studies are called cohorts. They allow researchers to study the causes of diseases, better understand how they affect patients, and develop new approaches for diagnosis and treatment. With their consent, these studies collect data directly from patients (using questionnaires and measurements) and from specialist hospital and clinic information systems, including imaging scans. They may also collect blood samples for laboratory measurements and information from mobile phone apps and monitoring devices worn by the patients taking part in the study. All of this information is collected into a database. It is particularly valuable for research analyses when combined with data about the health of the patients taking part before they developed the disease and during follow up over many years after their diagnosis. This health data can be obtained from databases collected and held by national NHS organisations, including data about hospital visits, medicines dispensed from pharmacies and death certificates. Obtaining information from these national databases is challenging, time-consuming, costly and - as a result - not always successful. It involves understanding which data are available from which NHS organisation, completing complex applications and obtaining the approval of each relevant organisation. Cohorts also need to provide a secure environment to receive and hold the data, link it together with the other study data, and provide safe, secure access to researchers to conduct their research analyses. This proposal aims to provide a single platform to overcome these challenges for UK-wide cohorts of patients with diseases of the heart and circulation (so-called 'cardiovascular diseases', such as heart attacks, heart failure and stroke) and diabetes. A dedicated, experienced team will coordinate applications and approvals for cohorts to obtain data from national NHS databases. A secure platform will be provided by a carefully selected, specialist provider to hold all the data collected by each cohort and link it with the additional data from national NHS databases. Specialist health data scientists will provide support for the cohorts in managing, checking, interpreting and analysing this additional linked NHS data. Data from each cohort will be held in a separate, secure space within the platform. Researchers approved to carry out analyses of cohort study data will not take data out of the platform but instead will access it remotely within the platform via a secure log in. To protect the privacy of the patients taking part, all information from which they could be identified (for example name, exact date of birth and NHS number) will be held securely in a separate part of the platform. This identifiable information will only be accessible for essential purposes by a very small number of named cohort study staff. Researchers will not access any of this identifiable information. The platform will also provide specialist tools for the combined analysis of the many different types of data collected by each cohort. This single platform will allow researchers to answer crucial research questions to improve the care of patients with cardiovascular diseases and diabetes much more quickly, more securely, and at lower cost than is currently the case. In the future it could be expanded to support research on cohorts of patients with a wide range of other diseases.
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Big Data for Complex Disease
  • 批准号:
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  • 项目类别:
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  • 资助金额:
    $737.84万
  • 财政年份:
    2023
  • 负责人:
    Cathie Sudlow
  • 依托单位:
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