fraud & misconduct by mukesh jaiswal
DESCRIPTION
This Presentation describes Frauds and misconduct occurs during clinical trial..TRANSCRIPT
![Page 1: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/1.jpg)
By:Mukesh Kumar Jaiswal
![Page 2: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/2.jpg)
Falsification of data in proposing, designing, performing, recording, supervising or reviewing research, or in reporting research results.
Falsification includes both acts of omission (consciously not revealing all data) and commission (consciously altering or fabricating data)
![Page 3: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/3.jpg)
Fraud does not include honest error Deliberate or repeated noncompliance with the
protocol and GCP can be considered fraud.
![Page 4: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/4.jpg)
Investigators Study coordinators Data management personnel Lab personnel IRB staff CRAs and sponsor personnel FDA
![Page 5: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/5.jpg)
Study Coordinator
Nurse
Hospital
Sponsor
Investigator
Office Staff
Sub-investigator
CRA
39%
17%9%
9%
9%
9%
4% 4%
![Page 6: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/6.jpg)
Difficult to determine but still considered rare Reported to significantly impact 1-5% of
pharmaceutical clinical trials. Only ~3% of FDA inspections uncover serious
GCP violations resulting in Warning Letters
![Page 7: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/7.jpg)
Sponsor – data validity compromised, submission jeopardized, additional costs
Investigator – fines, legal expenses, disqualification/debarment, license revocation, ruined career
Institution – lawsuits Subject – safety at risk, loss of trust in clinical
trial process
![Page 8: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/8.jpg)
Lack of resources (staff, time, subjects) Lack of GCP training Lack of regulatory oversight Laziness Loss of interest Pressure to perform or to publish Money, greed
![Page 9: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/9.jpg)
High staff turnover Staff are disgruntled, fearful, anxious,
depressed, defensive High pressure work environment Obsession with study payments Absent investigators Lack of GCP training Unusually fast recruitment
![Page 10: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/10.jpg)
Implausible trends/patterns:
100% drug compliance
Identical lab/ECG results
No SAEs reported
Subjects adhering perfectly to a visit schedule
Perfect efficacy responses for all subjects
![Page 11: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/11.jpg)
Site data not consistent with other centers (statistical outlier)
Source records lack an audit trail - no signatures and dates of persons completing documentation
All source records & CRFs completed with the same pen
Perfect diary cards, immaculate CRFs
![Page 12: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/12.jpg)
Subject handwriting and signatures are inconsistent across documents
Questionable subject visit dates (Sundays, holidays, staff vacations)
Impossible events (eg, subject randomized before IP even available at the site)
![Page 13: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/13.jpg)
Subject visits cannot be verified in the medical chart or appointment schedule
Data contains “digit preference” – some digits used more frequently than others (0, 5, and even digits)
![Page 14: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/14.jpg)
Expect fraud – start from the assumption that records are bogus.
Question missing, altered, and/or inconsistent data – offer to retrieve records yourself, keep pulling on loose ends.
Don’t be intimidated – challenge to explain suspicious data
![Page 15: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/15.jpg)
Be suspicious of blame shifting –remind the investigator that he/she is responsible for study conduct.
Cultivate whistleblowers – pay attention to staff complaints, establish rapport, and be approachable.
![Page 16: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/16.jpg)
Many fraud cases uncovered by staff whistleblowers
Ethical commitment to report fraud: I recognize my right and responsibility as a clinical
research professional to question suspected falsified data, and if necessary, proceed with appropriate reporting procedures as mandated by the appropriate regulatory agencies.
Many institutions have an Office of Compliance with reporting hotlines
![Page 17: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/17.jpg)
During pre-study evaluation, sponsors should carefully scrutinize sites for interest in the study, stability of the staff, investigator/staff interactions, workload, and level of training.
Everyone involved in the clinical trial process should complete regular GCP training.
CRAs should be expert on the protocol particularly with parameters that determine eligibility (inclusion/exclusion criteria) and primary efficacy endpoints
![Page 18: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/18.jpg)
Sponsors should emphasize their policy on fraud at the initiation visit
Institutions should set-up systems to encourage fraud reporting and protect whistleblowers
![Page 19: Fraud & misconduct by Mukesh Jaiswal](https://reader033.vdocuments.us/reader033/viewer/2022052413/559c923a1a28ab4d5b8b476a/html5/thumbnails/19.jpg)