Implementation Network for Sharing Population Information from Research Entities in East Africa (INSPIRE-EA)

东非研究机构人口信息共享实施网络 (INSPIRE-EA)

• 批准号: EP/T029315/1
• 负责人: Jim Todd
• 金额: $ 17.6万
• 依托单位: London School of Hygiene & Tropical Medicine
• 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
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT029315%2F1
• 关键词: Implementation; Network; Sharing; Population; Information; Implementation; Network; Sharing; Population; Information

Decisions on health policy and provision should be made using high quality data from multiple sources. The UN have encouraged data to be Findable, Accessible, Interoperable, and Reusable (FAIR) but much of the data in Africa has not reached the standards of FAIR data. Population data on health are important to measure many of the indicators for the Sustainable Development Goals (SDG), including the Universal Health Coverage (UHC). In most Eastern African countries, health and demographic sentinel surveillance (HDSS) sites are used to collect health data from within populations. The ALPHA network has demonstrated how HIV data from HDSS can be used to show how HIV affected the population, and the impact of HIV services and policies (including the delivery of anti-retroviral therapy) on the health of people living with HIV.The overall aim of this project is to create the Implementation Network for Sharing Population Information from Research Entities (INSPIRE) network in East Africa. This recognises the value of sharing harmonised, FAIR data across countries and across settings, and it sets up the mechanism by which these data can be produced. The INSPIRE network will build the key components for the data platform. Firstly we will bring together the institutions that collect primary data through HDSS, and to outline the benefits and support that such a network could bring to HDSS. The proposed network would be modelled on the INDEPTH network, and use SAPRIN in South Africa (www.saprin.mrc.ac.za) as an example of how it could work. The goal of this component is to establish a partnership which leverages population health data from different institutions into FAIR data that enables high quality analysis to answer policy relevant questions.The second component is to establish the technical requirements of FAIR data and to make the foundations to produce the data. Building on the work of ALPHA network, we will use automated methods for HDSS partners to extract, transform and load their own HDSS data into a common database. We will retain the provenance of the data through industry standard data documentation which is important for FAIR data.The project will develop and standardise the vocabulary to describe longitudinal population health data in Africa, contributing to international standards so that researchers can understand and search the data. The project will explore the way in which the population health data can be linked with the electronic health records (EHR), which are being developed in Eastern Africa.The third component will encourage the use of the data in order to make the platform sustainable. The project will identify the value of the data, and change the culture towards population health data, demonstrating how the data can be analysed to answer important health questions.Longitudinal, population data on health, while essential to understanding the demand for health services, has been left behind by the digital revolution. There is an urgent need to change this situation and find a solution which will provide harmonized FAIR data that can be compared across countries and across different health conditions. This project would establish the partnerships that are needed to develop and maintain such a system, and will set up the technical capacity to be able to set up a FAIR harmonised database for population health.

应使用来自多个来源的高质量数据做出有关卫生政策和规定的决定。联合国鼓励数据可以找到，可访问，可互操作和可重复使用（公平），但是非洲的许多数据尚未达到公平数据的标准。人口健康数据对于衡量可持续发展目标（SDG）的许多指标（包括普遍的健康覆盖范围（UHC））很重要。在大多数东非国家，健康和人口哨兵监视（HDSS）地点用于从人口内收集健康数据。 Alpha网络已经证明了如何使用来自HDS的HIV数据来展示HIV如何影响人群，以及HIV服务和政策的影响（包括提供抗逆转录病毒疗法）对HIV患者健康的影响。该项目的总体目的是创建来自East Pirepure网络的人口信息（Inspire）在East Africa中共享人口信息的实施网络。这认识到共享跨国和跨环境共享统一的公平数据的价值，并设置了可以生成这些数据的机制。 Inspire网络将构建数据平台的关键组件。首先，我们将汇集通过HDS收集主要数据的机构，并概述该网络可以为HDS带来的好处和支持。拟议的网络将在Indepth网络上建立模型，并在南非使用Saprin（www.saprin.mrc.ac.za），以此为例。该组成部分的目的是建立合作伙伴关系，该伙伴关系利用不同机构的人口健康数据为公平数据，使高质量分析能够回答与政策相关的问题。第二部分是建立公平数据的技术要求并制定基础以生成数据。在Alpha网络的工作中，我们将使用自动化方法供HDSS合作伙伴提取，转换和加载自己的HDSS数据到一个通用数据库中。我们将通过行业标准数据文档保留数据的出处，这对于公平数据很重要。该项目将开发和标准化词汇，以描述非洲的纵向人口健康数据，从而提高了国际标准，以便研究人员可以理解和搜索数据。该项目将探讨在东非正在开发的电子健康记录（EHR）的人口健康数据的方式。第三部分将鼓励使用数据以使平台可持续。该项目将确定数据的价值，并将文化转变为人口健康数据，并证明如何分析数据以回答重要的健康问题。longudinal，关于健康的人口数据，对了解对卫生服务的需求至关重要，但数字革命却抛弃了。迫切需要改变这种情况并找到一种解决方案，该解决方案将提供统一的公平数据，可以在各个国家和不同的健康状况之间进行比较。该项目将建立开发和维护这样一个系统所需的合作伙伴关系，并将建立技术能力，以便能够建立一个公平的人口健康数据库。