在数字健康干预的完全分散的临床试验中缓解欺诈行为
Jessie B Moore1, Amy Chieng1, Maddison C Pirner2
1Stanford Prevention Research Center, Department of Medicine, School of Medicine, Stanford University, Palo Alto, CA, USA.
概括
分散临床试验 (DCT) 面临着重大欺诈风险. 这项研究发现,在移动心理健康DCT中,特别是从社交媒体招聘中,存在高水平的欺诈活动,这凸显了需要强有力的检测方法的需要.
科学领域:
- 数字健康数字健康
- 临床试验管理 临床试验管理
- 心理健康干预 心理健康干预
背景情况:
- 分散临床试验 (DCT) 利用数字工具来改善参与者体验和数据多样性.
- 然而,欺诈性参与者活动对研究有效性和数据完整性构成重大风险.
- 这项研究解决了远程研究环境中欺诈的挑战.
研究的目的:
- 量化在移动心理健康干预的DCT中欺诈性参与的尝试.
- 识别和讨论有效的方法,以防止和检测在DCT欺诈活动.
- 为了比较不同招聘道之间的欺诈率.
主要方法:
- 招募了有问题物质使用的美国成年人参加了为期12周的远程DCT.
- 雇员VPN/代理检测,重复标识符检查 (电子邮件,电话,IP) 和年龄/DOB一致性验证.
- 使用描述性统计数据和社交媒体和调查小组招聘之间的组比较分析数据.
主要成果:
- 在2,781个选器中,62%是欺诈性的,主要通过重复标识符 (65%) 和VPN/代理使用 (47%) 检测到.
- 在258名随机选择的参与者中,20%的参与者显示年龄/DOB不匹配.
- 社交媒体招聘的欺诈率 (85%) 比调查小组 (26%) 高.
结论:
- 社交媒体和调查小组都在这个DCT中产生了大量的欺诈活动.
- 研究人员必须实施身份验证,例如在同意期间,以减轻欺诈行为.
- 警不断演变的欺诈模式和与参与者直接联系对于保持数据完整性至关重要.
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