在一项研究中发现欺诈性答案 探索孕期糖尿病影响孕妇的分娩选择:从网络调查中吸取的经验教训
Emma Ruby1,2, Serine Ramlawi2, Alexa Clare Bowie2
1Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
Journal of medical Internet research
|January 20, 2025
概括
基于网络的调查欺诈在医学研究中越来越令人担忧. 本文详细介绍了识别和处理欺诈性响应的方法,以确保关于妊娠糖尿病交付选择的研究的研究完整性.
科学领域:
- 产周医学 产周医学
- 研究方法研究方法论.
- 数据完整性数据完整性
背景情况:
- 目前的文献缺乏关于妊娠糖尿病中产时间和安全性的明确性.
- 基于网络的调查在医学研究中越来越多地使用,但处理欺诈性答案的方法尚未发展.
- 一次欺诈性调查活动的事件将研究重点转移到解决数据完整性的问题.
研究的目的:
- 突出一种系统的方法来识别和处理网络调查中的欺诈性回复.
- 解决欺诈数据在临床围产期研究中的影响.
- 强调强大的方法的重要性,以保持研究的完整性.
主要方法:
- 在加拿大的孕妇和围产期医疗保健提供者分发了基于网络的横截面调查.
- 通过使用相同的时间,相似的措辞和无效电子邮件地址等标准来识别欺诈性回复.
- 在与IT服务和研究伦理委员会商后,制定了系统的指导方针来过数据.
主要成果:
- 记录了近2500个响应的涌入,其中很大一部分被标记为欺诈性.
- 识别的欺诈性回复包括相同的条目,小的措辞变化与相似的时间,和假电子邮件地址.
- 这一事件强调了基于网络的调查对欺诈活动的脆弱性.
结论:
- 实施系统指南对于保持研究完整性和提取有效数据至关重要.
- 解决欺诈性回复对于保持研究结果和基于证据的实践的可信度至关重要.
- 需要进一步研究最佳方法来检测和减轻网络调查中的欺诈行为.
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