多国联盟研究中的数据管理:全球健康的肠道 (EFGH) 监测研究示例
Erika Feutz1, Prasanta K Biswas2, Latif Ndeketa3,4,5
1Department of Global Health, University of Washington, Seattle, Washington, USA.
Open forum infectious diseases
|March 27, 2024
概括
本研究详细介绍了Enterics For Global Health (EFGH) Shigella监测项目的数据管理. 它保证了高质量的数据收集和公平的访问在7个国家倡议.
科学领域:
- 全球卫生研究全球卫生研究
- 数据管理系统数据管理系统
- 传染病监测 传染病监测 传染病
背景情况:
- 有效的数据管理对于大型多国研究联盟至关重要.
- 全球健康的肠道 (EFGH) Shigella监测研究涉及7个国家.
- 这项研究旨在估计幼儿中与Shigella相关的腹发病率.
研究的目的:
- 为EFGH西格拉研究开发和实施强大的数据管理系统.
- 确保高质量的数据收集,以及联盟成员之间公平的数据访问和决策.
- 建立数据处理,存储,监控和质量控制的标准化程序.
主要方法:
- 在规划阶段,一个专门的工作组开发了数据管理系统.
- 选择了REDCap和SurveyCTO作为主要的数据库系统.
- 建立了数据处理,存储,监控,质量控制和访问的程序.
主要成果:
- 创建了一个全面的数据管理计划,概述了关键程序.
- 实施的系统包括实时数据可视化,以快速清洁和监控.
- 该系统有助于更快的数据分析和进度跟踪.
结论:
- 该EFGH研究为全球健康研究的数据管理提供了有价值的见解.
- 这一经验将作为未来大型多国监控项目的案例研究.
- 该研究强调严格的数据管理,同时保持公平的数据访问和控制.
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