Slide 1 of 57

Scientific Misconduct--The "F" word-

Stan W. Woollen

Associate Director for Bioresearch Monitoring

Office for the Good Clinical Practices

and

Antoine El Hage, Ph.D.,

Chief

Good Clinical Practices Branch II, DSI

FDA

October 2001


Slide 2 of 57

Questions for the Session


Slide 3 of 57

What is Misconduct? FDA's Focus


Slide 4 of 57

Types of Falsification


Slide 5 of 57

What is Misconduct? FDA's Focus


Slide 6 of 57

Consequences of Fraud


Slide 7 of 57

Consequences of Fraud


Slide 8 of 57

Applications and Sponsors Associated with Violative CIs

CI Applications Sponsors
A 91 47
B 49 25
C 43 21
D 21 17
E 12 6
F 6 6
G 92 48

Slide 9 of 57

Falsification -A chronic problem-


Slide 10 of 57

Types of Data Falsified


Slide 11 of 57

EKGs--a common problem


Slide 12 of 57

EKGs a common problem


Slide 13 of 57

How is Data Falsified


Slide 14 of 57

How is Data Falsified


Slide 15 of 57

Blood pressure data questioned during in-house review

94 subjects Data Listing


Slide 16 of 57

Mind if we inspect?

Sponsorís answer--

It was concluded that inconsistencies in the source documentation would make it difficult to trace or verify some of the key information. As a result of our findings, we recommend that the agencyís planned visit to the study sites for June 1997 be CANCELLED.

NDA Withdrawn


Slide 17 of 57

What we see in the submission


Slide 18 of 57

What we find on site

Reading Week 4
10/30/92
Week 8
11/27/92
Week 4 *
10/30/92
Week 8 *
11/27/92
First 195/99 198/95 185/95 190/95
Second 185/95 180/100 185/95 180/90
Third 198/103 180/98 180/90 180/90
Fourth 195/95 195/105 180/90 175/90
Average 193.2/85 185/99.5 182.5/92.5 181.25/ 113.75

  Original Case Report Form

* Handwritten changes by G. Mon 11/18/93 - Changes are to reflect the medical chart (No source data)


Slide 19 of 57

The explanation


Slide 20 of 57

How is Data Falsified


Slide 21 of 57

Clinical Fraud Cases

Fabricated Data


Slide 22 of 57

How is Data Falsified


Slide 23 of 57

The "F"Case


Slide 24 of 57

New York Times May 17, 1999
RESEARCH FOR HIRE: SECOND OF TWO ARTICLES

A Doctor's Drug Studies Turn Into Fraud

By KURT EICHENWALD and GINA KOLATA


Slide 25 of 57

NY Times Allegation Fabrication the undetectable crime?


Slide 26 of 57

NY Times Allegation


Slide 27 of 57

NY Times Allegation


Slide 28 of 57

Bogus specimens
A new era in detection?


Slide 29 of 57

Clinical Fraud Cases
detecting the undetectable


Slide 30 of 57

How is Data Falsified


Slide 31 of 57

Clinical Fraud Cases

Dr. P


Slide 32 of 57

Clinical Fraud Cases


Slide 33 of 57

How is Data Falsified


Slide 34 of 57

Why is Data Falsified? We might be cynical, but we werenít born that way

Reasons why records not available:


Slide 35 of 57

Why is Data Falsified? We might be cynical but we werenít born that way


Slide 36 of 57

Why is Data Falsified


Slide 37 of 57

Why is Data Falsified?


Slide 38 of 57

Who Does It??


Slide 39 of 57

NY Times Allegation
THENURSEDIDIT Maneuver The last refuge of a scoundrel


Slide 40 of 57

[Pie Chart]

The Blame Game: Who gets the blame?

39% -- Study Coordinator

17% -- Nurse

9% -- Hospital

9% -- Sponsor

9% -- Self

9% -- Office Staff

4% -- Sub-investigator

4% -- Monitor

n (parties blamed) = 23

n (cases) = 20


Slide 41 of 57

QA's Role in Dealing with Misconduct


Slide 42 of 57

Tips for Preventing Fraud


Slide 43 of 57

Approaches in Detecting Fraud (Rules?)


Slide 44 of 57

Tips for Detecting Serious Misconduct


Slide 45 of 57

Tips for Detecting Serious Misconduct


Slide 46 of 57

Tips for Detecting Serious Misconduct


Slide 47 of 57

[Pie chart]

Who Complains?--Everybody!
FY 2000


n = 118


14% -- Sponsors


11% -- Anonymous


9% -- Government Agencies


8% -- Private Citizens


19% -- IRBs


9% -- Health Professionals


3% -- CROs


3% -- Study Coordinators


8% -- Former Employees


5% -- Others


2% -- Universities


2% -- Informants


8% -- Subjects


Slide 48 of 57

What Are They Complaining About? Everything!!


Slide 49 of 57

[Pie chart]

Clinical Investigator Inspections*

52%-- VAI

44% -- NAI

3% -- OIA

0.3% --Pending

n = 306

* All inspections, domestic and foreign


Slide 50 of 57

Complaints Inspected and Their Classifications

First Pie Chart Shows:
Inspected = 26%
Not Inspected = 74%
n= 105
 
Second Pie Chart Shows:
OAI = 26%
NAI = 26%
VAI = 52%
n= 27


Slide 51 of 57

[Picture of Uncle Sam]

Correcting Misconduct

How You can help

FDA Wants You to Recognize and Report Misconduct


Slide 52 of 57

FDA Believes Sponsors should Promptly Report...


Slide 53 of 57

Correcting Misconduct


Slide 54 of 57

Where to Report Misconduct

Drugs


Slide 55 of 57

Where to Report Misconduct

Biological Products


Slide 56 of 57

Where to Report Misconduct

Medical Devices


Slide 57 of 57

Tips for Dealing with Serious Misconduct

Be Prepared--have a system in place to capture, document and deal with complaints of misconduct in a timely fashion. Follow your SOPs!!!


GCP Home | Educational Materials
FDA Home Page | Search | A-Z Index | Site Map | Contact FDA

FDA/Website Management Staff
Web page created by clb 2001-DEC-07.