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Research Activities at The
Boston Collaborative Drug
Surveillance Program; Boston
University School of Public
Health
Susan Jick
Professor of Epidemiology
Director of the Boston Collaborative Drug Surveillance Program
Primary Objectives of the BCDSP
Post-marketing drug safety studies
Disease epidemiology to support drug safety concerns
Expertise in large electronic databases
What kinds of safety Questions Get
Asked?
Generally interested in rare or uncommon adverse events
Difficult to study using clinical trials
Difficult to collect information on large enough patient populations
Case-control
Cohort
Large databases have made it possible to study large cohorts of drug users
We can now study drugs in relation to rare outcomes
Early Post-Marketing Safety
What is post-marketing safety?
Generally observational research on marketed drugs
Prior to the 1960’s there were no formal drug safety studies
All data prior to the late 1970’s was collected by hand
First use of automated data was initiated around 1978
Group Health Cooperative
Around 300,000 members
This is where I came in
I first started working with data from GHC in the early 1980’s
While getting my MPH at BU SPH
Later went on to get my doctorate at BU
Started teaching the Drug Epidemiology class while getting my
doctorate
And the rest is history….
Later Developments
Other resources became available in the 1980’s
Research capabilities increased dramatically
Large cohorts of drug exposed persons could be identified
Rare events could be studied
Databases with covariate information became available
The Clinical Practice Research Datalink
Started in 1988
Data on millions of patients
Became available to the public in the 2000’s
GP data from the UK
All diagnoses
Drugs
Clinical details
Patient characteristics
Great Potential
Research capabilities have increased dramatically because of available data
Our research has changed correspondingly
So has the potential for error and poor research
Understanding research methods and data resource has never been more
important
What are the big challenges?
Major methodologic concerns
Confounding
By age, sex, calendar time, geography
And by indication
Appropriate and accurate exposure information and definition
Poor quality data
Data errors
Need for validation
Is information complete?
Ability to test assumptions
Examples of Drug Safety Studies at the BCDSP
MMR vaccine and autism
Oral contraceptives and venous thromboembolism
Vioxx and MI
Accutane and depression
Hormone replacement and breast cancer
Antidepressant drugs and suicide
What could go wrong?
What is confounding by indication?
People take drugs for a reason
Is that reason, or indication for use, associated with the outcome of interest?
In antidepressant users can you evaluate whether or not the drug increases
the risk of depression?
How do we control for it?
Can one always control for it?
A glimpse of our research