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Received:January 10, 2024 Published Online:January 20, 2025
Received:January 10, 2024 Published Online:January 20, 2025
中文摘要: 目的 分析Ⅰ期临床试验临床研究协调员(CRC)录入电子病历报告表产生数据质疑的原因,提出防范对策。方法 选取复旦大学附属华山医院Ⅰ期临床研究室2019—2022年已完成电子数据录入的3项创新药Ⅰ期临床试验项目,由申办方数据管理部门提供电子数据质疑报表,对数据质疑在试验不同阶段、不同模块的分布,并对错误类型进行分类统计分析,提出相应对策持续改进。结果 (1)临床试验进程中数据质疑最易发生在随访期,占66.78%。(2)系统自动触发型质疑占比最高,人工逻辑核查型质疑最具分析意义。(3) 人工逻辑核查型质疑中,文本型错误发生率最高(47.53%),其次为逻辑错误和页面相关错误。发生率最高的三个模块分别为实验室检查(41.25%)、生命体征/心电图(14.64%)、不良事件/合并用药(9.36%)。(4)CRC缺乏责任心、专业能力薄弱是导致质疑产生的最主要因素。结论 数据录入过程中,应重点提高CRC工作责任心,加强其对信息化系统的使用和专业知识的培训,保证试验数据的真实完整,降低CRC数据录入错误的发生率。
Abstract:Objective To analyze the reasons for data questioning generated by clinical research coordinators (CRCs) entering electronic medical record report forms in phase Ⅰ clinical trials.
Methods The phase Ⅰ clinical trial projects of 3 innovative drugs that have completed electronic data entry from 2019 to 2022 in the Phase Ⅰ Clinical Research Laboratory of Huashan Hospital, Fudan University were selected. Electronic data questioning report was provided by the sponsor's data management department. The distribution of data questioning in different stages and modules of the trials were analyzed, and the types of errors were classified and statistically analyzed, and corresponding countermeasures were put forward for continuous improvement.
Results (1) Data questioning in the process of clinical trials were most likely to occur in the follow-up period, accounting for 66.78%. (2) The system automatically triggered type of questioning accounts for the highest percentage, and the manual logic verification type of questioning had the most analytical significance. (3) In the manual logic verification type of questioning, the occurrence rate of textual errors was the highest (47.53%), followed by logic errors and page-related errors. The three modules with the highest incidence were laboratory tests (41.25%), vital signs/electrocardiogram (14.64%), and adverse events/combined medications (9.36%). (4) Lack of responsibility and weak professionalism on the part of CRCs were the most significant factors that led to questioning.
Conclusion During the process of data entry, it is necessary to focus on improving the sense of responsibility of CRC, strengthening their training on the use of informatization system and professional knowledge, ensuring the truthfulness and completeness of trial data, and reducing the incidence of data entry errors.
文章编号: 中图分类号:R95 文献标志码:B
基金项目:上海市级科技重大专项(HS2021SHZX001);上海市科委生物医药科技支撑项目(22S11904702, 22S11904102);上海市卫健委卫生行业临床研究专项(20224Y0378)
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