Lessons Learned Identifying and Controlling Fraudulent Participation in Online Randomized Trials

作者
Robert Siebers,Kara M. Magane,Hattie Slayton,Skylar Karzhevsky,Tibor P. Palfai,Ana M. Abrantes,Lisa M. Quintiliani,Michael D. Stein
出处
期刊:Journal of Medical Internet Research [JMIR Publications]
卷期号:27: e77512-e77512
标识
DOI:10.2196/77512
摘要

Virtually conducted clinical trials have become an important tool for improving access to research. Online research gives rise to new avenues for potentially fraudulent actors to participate in studies to achieve monetary gain. We describe our experience of uncovering and removing fraudulent participants from a virtual research study and our methods to prevent fraudulent participants in the future. Fraudulent participation in the 2 linked online clinical trials was first uncovered in 2023, prompting our investigation and identification of additional fraudulent participants (falsified identity or information to meet eligibility criteria) who successfully enrolled in these trials. Our study team categorized indicators of suspicious activity at prescreening, screening, and baseline stages of study participation and implemented a manual checklist method to prevent fraudulent participation. We evaluate the effectiveness of our fraud prevention methods 6 months after the initial breach of the trials. Before initial detection, 10 fraudulent participants successfully enrolled in our trials. Following the implementation of new fraud prevention measures, 37 individuals were identified as fraudulent at the screening stage, and no new fraudulent participants were enrolled. We provide a comprehensive list of suspicious behaviors that may suggest the virtual research intrusion of persons using fake identities. For online clinical studies, manual methods of fraud prevention, used in conjunction with automated prevention methods, can equip researchers to detect evolving patterns of attempted fraudulent enrollment.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
伽古拉40k完成签到,获得积分10
1秒前
菠萝仔完成签到,获得积分10
1秒前
丘比特应助动听千风采纳,获得10
1秒前
zk1438328200完成签到,获得积分10
2秒前
从容谷菱完成签到,获得积分10
4秒前
现实的野狼完成签到 ,获得积分10
5秒前
Jupiter 1234完成签到,获得积分10
6秒前
fangzi完成签到,获得积分10
9秒前
寂寞不即墨完成签到,获得积分10
9秒前
信念完成签到,获得积分10
10秒前
ZOE应助fangzi采纳,获得30
13秒前
Janus完成签到 ,获得积分10
13秒前
贝贝贝完成签到,获得积分10
14秒前
鹏飞九霄完成签到,获得积分10
14秒前
独钓寒江雪完成签到 ,获得积分10
15秒前
念姬完成签到 ,获得积分10
15秒前
乐观归尘完成签到,获得积分10
18秒前
爱听歌安彤完成签到,获得积分10
18秒前
18秒前
大个应助李华采纳,获得10
19秒前
飞燕完成签到,获得积分10
20秒前
三千完成签到,获得积分10
21秒前
呲花发布了新的文献求助10
21秒前
Lucas应助刑天采纳,获得10
23秒前
俞骁俞骁完成签到 ,获得积分10
23秒前
Arlen完成签到,获得积分10
23秒前
Jasper应助chenjp采纳,获得10
23秒前
酷炫的安雁完成签到 ,获得积分10
24秒前
派大肘完成签到 ,获得积分10
25秒前
典雅听露完成签到,获得积分10
26秒前
yhuang完成签到,获得积分10
27秒前
aixiaoming0503完成签到,获得积分10
29秒前
32秒前
任佳怡完成签到 ,获得积分10
33秒前
李华完成签到,获得积分10
35秒前
直率无声发布了新的文献求助10
38秒前
刑天发布了新的文献求助10
38秒前
开心完成签到 ,获得积分10
38秒前
kyle完成签到 ,获得积分10
38秒前
123321完成签到,获得积分10
38秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
LASER: A Phase 2 Trial of 177 Lu-PSMA-617 as Systemic Therapy for RCC 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6381316
求助须知:如何正确求助?哪些是违规求助? 8193547
关于积分的说明 17318445
捐赠科研通 5434910
什么是DOI,文献DOI怎么找? 2874771
邀请新用户注册赠送积分活动 1851470
关于科研通互助平台的介绍 1696232