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. 2021 May 9;25:100401. doi: 10.1016/j.invent.2021.100401

Table 2.

Fraud across recruitment categories, types, and sources.

Recruitment Type Recruitment Source Applicants Verified Potential Fraud Fraud
Traditional Flyers Senior Facilities 15 13 (86.67%) 0 (0.00%) 2 (13.33%)
Businesses 9 9 (100.00%) 0 (0.00%) 0 (0.00%)
Community Centers 7 7 (100.00%) 0 (0.00%) 0 (0.00%)
Health Clinics 4 4 (100.00%) 0 (0.00%) 0 (0.00%)
Flyers Total 35 33 (94.29%) 0 (0.00%) 2 (5.71%)
Health Providers Doctor/Health Care Provider 221 212 (95.93%) 3 (1.36%) 6 (2.71%)
Sleep Specialist 103 93 (90.29%) 1 (0.97%) 9 (8.74%)
Mental Health Professional 17 17 (100.00%) 0 (0.00%) 0 (0.00%)
Health Providers Total 341 322 (94.43%) 4 (1.17%) 15 (4.40%)
Word-of-Mouth SHUTi User 20 20 (100.00%) 0 (0.00%) 0 (0.00%)
Conference Presentation 7 7 (100.00%) 0 (0.00%) 0 (0.00%)
Family/Friend 130 113 (86.92%) 3 (2.31%) 14 (10.77%)
Word-of-Mouth Total 157 140 (89.17%) 3 (1.91%) 14 (8.92%)
Published Materials Consumer Reports 180 169 (93.89%) 6 (3.33%) 5 (2.78%)
Magazine/Newspaper Online/Print 55 53 (96.36%) 2 (3.64%) 0 (0.00%)
Harvard Health Newsletter 11 11 (100.00%) 0 (0.00%) 0 (0.00%)
Bottom Line 7 7 (100.00%) 0 (0.00%) 0 (0.00%)
Published Materials Total 253 240 (94.86%) 8 (3.16%) 5 (1.98%)
Traditional Total 786 735 (93.51%) 15 (1.91%) 36 (4.58%)
Online Internet 224 193 (86.16%) 8 (3.57%) 23 (10.27%)
Clinicaltrials.gov 25 20 (80.00%) 0 (0.00%) 5 (20.00%)
Reddit 2 1 (50.00%) 0 (0.00%) 1 (50.00%)
Craigslist (paid) 166 133 (80.12%) 4 (2.41%) 29 (17.47%)
Unsolicited Shared Link 82 72 (87.80%) 7 (8.54%) 3 (3.66%)
Online Total 499 419 (83.97%) 19 (3.81%) 61 (12.22%)
Social Media Facebook UVA Ad (Paid) 126 119 (94.44%) 2 (1.59%) 5 (3.97%)
Facebook 144 129 (89.58%) 1 (0.69%) 14 (9.72%)
Social Media Total 270 248 (91.85%) 3 (1.11%) 19 (7.04%)
Other Other 24 22 (91.67%) 0 (0.00%) 2 (8.33%)
BeHealth Solutions 187 179 (95.72%) 1 (0.53%) 7 (3.74%)
Other Total 211 201 (95.26%) 1 (0.47%) 9 (4.27%)
Total 1766 1603 (90.77%) 38 (2.15%) 125 (7.08%)

Note: Percentages reflect percent of all applicants from that source. Verified applicants passed the identity verification check, while those deemed fraudulent failed the verification check. Applicants labeled “potential fraud” required clarification on their information to make a decision that was not received, and as such no final decision could be reached.