检查清单和创建常规收集健康数据研究的代码列表的指南
Julian Matthewman1, Kirsty Andresen1, Anne Suffel1
1London School of Hygiene & Tropical Medicine, London, England, WC1E 7HT, UK.
NIHR open research
|September 30, 2024
概括
研究人员现在可以使用一个新的检查列表,以确保在开发和共享可靠的健康数据研究代码列表方面采用最佳实践. 这提高了数据的可靠性,并促进了更广泛的研究合作.
科学领域:
- 医疗信息学 医疗信息学
- 在医疗保健中的数据科学.
- 生物医学研究方法学
背景情况:
- 经常收集的健康数据,包括电子健康记录,需要编码列表来提取有意义的信息.
- 值得信赖的编码员对于依赖这些数据来定义研究群体和变量的研究至关重要.
- 目前在编码列表开发中的实践需要标准化指南来确保质量和可靠性.
研究的目的:
- 为研究人员提供标准化检查清单,用于编码列表开发和共享的最佳实践.
- 提高用于健康数据研究的代码列表的可信度和可重复使用性.
- 促进在创建和传播临床代码列表时遵守质量标准.
主要方法:
- 文学搜索和与经验丰富的研究人员的研讨会为制定建议提供了信息.
- 建议旨在广泛适用,易于实施,并适合逐步流程.
- 最终的建议被格式化为一个实用检查列表,供研究人员使用.
主要成果:
- 创建了一个包含28个指导项的10步检查清单.
- 检查清单涵盖了诸如元数据提供,临床概念定义和代码列表评估等基本方面.
- 在创建,审查,最终确定和发布代码列表方面提供了指导.
结论:
- 坚持检查清单确保研究人员在编码清单开发中遵循最佳实践.
- 检查清单增加了对来自健康数据的研究结果的信任.
- 促进科研界对代码列表的更广泛的再利用和调整.
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