在线随机试验期间检测和管理欺诈企图
Thomas A Willis1, Alexandra Wright-Hughes2, Clare Skinner3
1Leeds Institute of Health Sciences, University of Leeds, Worsley Building, Leeds, LS2 9JT, UK. t.a.willis@leeds.ac.uk.
Trials
|August 3, 2023
概括
在线随机试验因激励而面临欺诈风险. 系统监测检测并管理可疑活动,确保研究完整性并为研究人员提供宝贵的教训.
科学领域:
- 临床研究方法论 临床研究方法论
- 医疗保健服务研究 医疗服务研究
- 在线研究中的数据完整性在线研究中的数据完整性
背景情况:
- 在线学习提供了高效的招聘和数据收集,但也带来了独特的挑战.
- 本研究详细介绍了在线随机试验期间对疑似欺诈活动的检测和管理.
- 分享所学到的经验教训,以提高未来在线研究的安全性.
研究的目的:
- 描述用于在线随机试验中检测和管理疑似欺诈的方法.
- 分享关于在线研究中保护研究完整性的经验教训,包括激励措施.
- 突出与在线参与者招聘的金融激励相关的风险.
主要方法:
- 进行了一项在线随机试验,调查临床审计和反.
- 参与者通过电子邮件招募,并随机分配到不同的反版本.
- 积极监测参与者数量,填写问卷和申请金融券的情况.
主要成果:
- 不寻常的招聘活动导致从链接的电子邮件地址识别重复条目和优惠券索赔.
- 试验暂时暂停,以实施加强的安全措施.
- 由于涉嫌欺诈,大量的随机化被排除在首要分析之外,对整体调查结果的影响很小.
结论:
- 提供参与者激励的在线研究容易受到欺诈企图的影响.
- 系统的监控和数据分析对于检测欺诈活动至关重要.
- 保护研究完整性的措施包括链接参与者数据,平衡安全与易于参与,并确保奖励分配.
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