研究电子数据采集 (REDCap) 用于低收入和中等收入国家的基于人口的数据收集:机遇,挑战和解决方案
Ha Thanh Le1, Dung Viet Tien Vu1, Thi Ngoc Anh Nguyen1
1Oxford University Clinical Research Unit, Hanoi, Vietnam.
Journal of medical Internet research
|June 11, 2025
概括
使用REDCap的电子数据捕获有助于在不同环境中进行大规模的人口健康研究. 在多个国家研究中实施REDCap强调了语言障碍和连接等挑战,但提供了改善数据质量和生产力的解决方案.
科学领域:
- 全球健康 全球健康
- 医疗信息学 医疗信息学
- 数据管理数据管理
背景情况:
- 高质量的数据对于健康研究至关重要,尤其是在以人口为基础的研究中.
- 基于人口的研究提出了独特的数据收集挑战,特别是在多样化和偏远的地方.
- 在大规模研究中,电子数据捕获 (EDC) 为克服这些挑战提供了解决方案.
研究的目的:
- 描述使用研究电子数据捕获 (REDCap) 在越南,尼泊尔和印度尼西亚的混合方法研究中EDC的实施经验.
- 确定在使用REDCap设计,收集和管理多国环境中的数据时遇到的机会,挑战和解决方案.
- 为未来使用EDC的大规模基于人口的研究提供路线图.
主要方法:
- 在越南,尼泊尔和印度尼西亚进行了混合方法研究.
- 研究电子数据捕获 (REDCap) 用于电子数据捕获.
- 记录了REDCap实施的经验,包括数据收集,管理和故障排除.
主要成果:
- 通过REDCap,可以在不同环境中从大量人群中收集数据.
- 挑战包括多语言的数据收集,不稳定的互联网,复杂的问卷和数据收集者之间的数字素养差异.
- 解决方案包括定期培训,团队会议,监督,自动错误检查和代测试.
- 立即访问数据有助于快速识别和解决不完整或重复记录.
结论:
- 使用REDCap的EDC可用于大规模的,跨国人口健康研究.
- 通过培训,支持和适应性策略应对挑战是成功实施的关键.
- 经验教训,包括代测试和跨站点协作,为提高未来EDC项目的生产力和数据质量提供了路线图.
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