数据质量 - 现实研究的基础
1Consultant, Clinical Research and Drug Development, Mumbai, Maharashtra, India.
Perspectives in clinical research
|June 16, 2023
概括
现实世界的研究利用例行收集的数据. 解决非最佳和不一致的数据质量对于成功的现实研究 (RWS) 规划和执行至关重要.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 数据科学数据科学数据科学
- 临床研究方法论 临床研究方法论
背景情况:
- 现实世界数据 (RWD) 为现实世界研究 (RWS) 提供了宝贵的见解.
- 在传统的临床试验之外,RWD经常从各种来源收集.
- 在管理RWD的质量方面存在挑战.
研究的目的:
- 审查对RWS至关重要的数据的关键质量方面.
- 突出数据质量在现实世界证据生成中的重要性.
- 引导研究人员解决RWS中的数据质量挑战.
主要方法:
- 文献综述侧重于现实研究中的数据质量.
- 在例行收集数据中分析常见的数据质量问题.
- 讨论确保RWS数据质量的策略.
主要成果:
- 低于最佳和不一致的数据质量是RWS的一个重大挑战.
- 积极的规划和一致的管理是确保数据质量的必要条件.
- 确定了与RWS相关的特定质量方面.
结论:
- 确保高质量的数据对于现实研究的有效性和可靠性至关重要.
- 积极处理数据质量对于生成强有力的现实世界证据至关重要.
- 这一综述为理解和管理RWS数据质量的基础.
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