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PHARMACOEPIDEMIOLOGY
Presentation by:
Dr. Shrey Bhatia
Junior Resident
Department of Pharmacology
GMC, Patiala
1Dr. Shrey Bhatia
What is pharmacoepidemiology ?
2
OVERVIEW
1
Study designs available for pharmacoepidemiological studies2
When should one perform pharmacoepidemiological study ?
Sources of pharmacoepidemiology data.
Special issues in pharmacoepidemiological methodology
3
4
5 Dr. Shrey Bhatia
PHARMACOEPIDEMIOLOGY
• Pharmacoepidemiology is the study of the use of and the
effects of drugs in large numbers of people.
• The term pharmacoepidemiology contains two
components: “pharmaco” and “epidemiology.”
3
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
PHARMACOEPIDEMIOLOGY versus
CLINICAL PHARMACOLOGY
• Pharmacology : study of the effects of drugs.
• Clinical pharmacology : study of the effects of drugs in
humans
• Central principle of clinical pharmacology : therapy should
be individualized which requires the determination of a
risk/benefit balance
4
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
PHARMACOEPIDEMIOLOGY versus
CLINICAL PHARMACOLOGY
5
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
Beneficial and
harmful effects of
the drugs
Clinical status
of the patient
Risk/benefit
balance
Pharmacoepidimiology
PHARMACOEPIDEMIOLOGY versus
CLINICAL PHARMACOLOGY
• Pharmacoepidemiology is the implementation of
epidemiological methods, knowledge and logical
justifications in the field of clinical pharmacology via
focusing upon studies on the drug effects on, and drug use
by, large numbers of people.
6
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
PHARMACOEPIDEMIOLOGY versus
EPIDEMIOLOGY
• Epidemiology is the study of the distribution and
determinants of diseases in populations.
• Because it investigates drug interactions observed in many
people, pharmacoepidemiology is clearly a sub-branch of
epidemiology
7
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
PHARMACOEPIDEMIOLOGY = CLINICAL
PHARMACOLOGY + EPIDEMIOLOGY
8
WHAT IS PHARMACOEPIDEMIOLOGY ?
CLINICAL
PHARMACOLOGY
PHARMACO-
EPIDEMIOLOGY EPIDEMIOLOGY
Dr. Shrey Bhatia
Pharmacoepidemiology takes its focus of knowledge from
clinical pharmacology and the research methods from
epidemiology.
HISTORICAL BACKGROUND
THALIDOMIDE DISASTER
• Until the 1950s not enough attention has been
paid to the side effects of drugs.
• 1960’s is the beginning of the discipline of
pharmacoepidemiology
• 1961 : dramatic increase was seen in the
frequency of a previously rare birth defect,
phocomelia; caused by in-utero exposure of
Thalidomide1.
• World Health Organization established a bureau
to collect information from national drug
monitoring organizations
9
WHAT IS PHARMACOEPIDEMIOLOGY ?
PHOCOMELIA:
absence of limbs or
parts of limbs in
patients with in
utero exposure to
thalidomide
1- Ridings JE.The thalidomide disaster, lessons from the past. InTeratogenicityTesting 2013 (pp. 575-586). Humana Press,Totowa, NJ.
Dr. Shrey Bhatia
2- balcik p. pharmacoepidemiology. IOSR Journal Of Pharmacy. 2018;6(2):57-62.
HISTORICAL BACKGROUND
• 1962: the USA, Kefauver–Harris Amendments2 :
strengthened the requirements for proof of drug safety
before a drug could be tested in humans
• 1968: United Kingdom, establishment of the Committee on
Safety of Medicines and Medicines Act of 1968
• The mid-1960s : publication of a series of drug utilization
studies; began a series of investigations of the frequency
and determinants of poor prescribing by physicians
10
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
2- balcik p. pharmacoepidemiology. IOSR Journal Of Pharmacy. 2018;6(2):57-62.
HISTORICAL BACKGROUND
• Other programmes established in various countries2:
Boston Collaborative Drug Surveillance Program
The Joint Commission on Prescription Drug Use
Drug Epidemiology Unit
Drug Safety ResearchTrust ( 1980, UK)
• 1990s and 2000s : inclusion of studies to assess beneficial
drug effects, quality-of-life of patients, meta-analysis, etc.
11
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
CONTRIBUTIONS OF PHARMACOEPIDEMIOLOGICAL
STUDIES
• Information which supplements the information available
from premarketing studies
Higher precision : larger sample size
 Effects in Elderly, children, pregnant women
 drug-drug interactions and other illnesses
• New types of information not available from premarketing
studies
Discovery of previously undetected adverse and beneficial effects
Patterns of drug utilization
The effects of drug overdoses
The economic implications of drug use
• General contributions of pharmacoepidemiology
 Reassurances about drug safety 12
WHAT IS PHARMACOEPIDEMIOLOGY ?
Dr. Shrey Bhatia
STUDY DESIGNS AVAILABLE
FOR
PHARMACOEPIDEMIOLOGICAL
STUDIES
Dr. Shrey Bhatia 13
14
STUDY DESIGNS AVAILABLE FOR PHARMACOEPIDEMIOLOGICAL
STUDIES
RANDOMIZED CLINICALTRIAL
(Experimental studies)
COHORT STUDIES
CASE-CONTROL STUDIES
SECULARTRENDS
CASE SERIES
CASE
REPORTS
• Analytical
studies
• Control
present
• Descriptive
studies
• Control
absent
Increasingevidencestrength
Dr. Shrey Bhatia
15
STUDY DESIGNS AVAILABLE FOR PHARMACOEPIDEMIOLOGICAL
STUDIES
RANDOMIZED CLINICALTRIAL
(Experimental studies)
COHORT STUDIES
CASE-CONTROL STUDIES
SECULARTRENDS
CASE SERIES
CASE
REPORTS
Exploring the
association
Suggesting
an
association
Analysis of
association
Dr. Shrey Bhatia
WHEN SHOULD ONE PERFORM
PHARMACOEPIDEMIOLOGICAL
STUDY?
Dr. Shrey Bhatia 16
REASONSTO PERFORM
PHARMACOEPIDEMIOLOGY STUDIES
• Regulatory
 Required by regulatory agencies to have a post
marketing surveillance programme for the drug
17
WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY
Dr. Shrey Bhatia
REASONSTO PERFORM
PHARMACOEPIDEMIOLOGY STUDIES
• Marketing
To assist market penetration by documenting the safety
of the drug
To protect the drug from accusations about adverse
effects
• Legal
 In anticipation of future product liability litigation
18
WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY
Dr. Shrey Bhatia
REASONSTO PERFORM
PHARMACOEPIDEMIOLOGY STUDIES
• Clinical
 Hypothesis testing
Problem hypothesized on the basis of drug structure
Problem suspected on the basis of preclinical or premarketing
human data
Problem suspected on the basis of spontaneous reports
19
WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY
Dr. Shrey Bhatia
REASONSTO PERFORM
PHARMACOEPIDEMIOLOGY STUDIES
Hypothesis generating—need depends on:
• whether it is a new chemical entity
• the safety profile of the class
• the relative safety of the drug within its class
• the formulation
• the disease to be treated
20
WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY
Dr. Shrey Bhatia
SOURCES OF
PHARMACOEPIDEMIOLOGY
DATA
Dr. Shrey Bhatia 21
Spontaneous AE reporting
Global Drug surveillance
Case- control surveillance
Prescription event monitoring
Automated databases
Others
22
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
Dr. Shrey Bhatia
23
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM
Dr. Shrey Bhatia
SPONTANEOUS REPORTING: All unsolicited reports of suspected
adverse events (AEs) from health care professionals or consumers or
pharmaceutical companies, received by the regulatory authorities
( FDA, CDSCO,NCC, AMC etc)*
 Clinical observation that originates outside of a formal study.
 Mainstay of national and international drug safety evaluation in the
post-approval phase3
3- FletcherAP. Spontaneous adverse drug reaction reporting vs event monitoring: a comparison. J R Soc Med. 1991 Jun;84(6):341-4.
*FDA- Food and DrugAdmninistration,CDSCO- Central Drug Standard and Control Organisation, NCC- NationalCoordinationCenter,AMC-
ADR monitoring center
24
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM
Dr. Shrey Bhatia
 Spontaneous reports are confirmed by formal epidemiological
studies (case-control and cohort studies)
CONTRIBUTIONS4
Generate preliminary signals about potential adverse effects and
hypothesis generation with the help of Data Mining
Covers all drugs in whole patient population, including special
subgroup
Inexpensive and simple
4- RAWLINS, MICHAEL D. Spontaneous reporting of adverse drug reactions.QJM.1986.59(230): 531-534.
25
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM
Dr. Shrey Bhatia
Data mining
A technique for extracting meaningful, organized information from
large complex databases ;
Computer is used to identify potential signals in large databases
26
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM
Dr. Shrey Bhatia
Signal:
alert if a drug is associated with:
Previously unrecognized hazard
Known hazard more frequent or more serious than expected
• Series ( minimum 3) of cases of similar suspected ADRs in relation to a
particular drug generates a signal
• Provide preliminary information about postulating a hypothesis and
not for testing it
28
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM
Dr. Shrey Bhatia
Next steps for further analysis of hypothesis generated by
spontaneous reports:
 prove or refute these hypotheses;
 estimate the incidence, relative risk, and excess risk of the ADRs;
 explore the mechanisms involved;
 identify special risk groups.
29
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM
Dr. Shrey Bhatia
Concerns with spontaneous reporting:
Underreporting : as high as 98% 3
Amount of information available is often too limited to permit
thorough case evaluation
Reactions which have a long latency, or rarely having a recognised
iatrogenic basis, may remain unrecognised by this technique
Spontaneous reporting of adverse events for a drug tends to peak at
the end of the second year of marketing and then declines thereafter
(Weber effect).
3- FletcherAP. Spontaneous adverse drug reaction reporting vs event monitoring: a comparison. J R Soc Med. 1991 Jun;84(6):341-4.
• Initiated by GOI in July 2010
• Indian Pharmacopoeia Commission ( IPC) in an autonomous
institution of Ministry of Health and FamilyWelfare, GOI, functions as
National Coordination Center for PvPI
• Follows spontaneous reporting system for data collection
30
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM- INDIAN SCENARIO
Dr. Shrey Bhatia
PHARMACOVIGILANCE PROGRAMME OF INDIA ( PvPI)
32
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
SPONTANEOUS ADVERSE EFFECTS
REPORTING SYSTEM- INDIAN SCENARIO
Dr. Shrey Bhatia
Ensure
quality,
integrity,
completeness
Causality
assessment of
reports
Reviewing,
analysing,
forwarding reports
toWHO-UMC,
CDSCO
Regulatory
decisions
35
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
GLOBAL DRUG SURVEILLANCE
Dr. Shrey Bhatia
• International effort to harmonize the terms used to describe the
adverse events and to set criteria and definitions for reactions.
• Efforts to harmonize the way data are stored and communicated
internationally.
• The main agencies involved in this work :
WHO –World Health Organisation
CIOMS- Council for International Organizations of Medical Sciences
ICH- International Conference on Harmonisation
36
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
GLOBAL DRUG SURVEILLANCE
Dr. Shrey Bhatia
Medical Dictionary for Regulatory Activities is a clinically validated
international medical terminology dictionary used by regulatory
authorities; endorsed by ICH
ICH E2B format : is a guideline for the transmission format for
information to be included on an adverse reaction case report.
37
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
GLOBAL DRUG SURVEILLANCE
Dr. Shrey Bhatia
Two International Systems:
European Union ( EU)
pharmacovigilance system
WHO-UMC ( Uppsala
Monitoring Center) ,
Sweden
38
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
Global Drug Surveillance:TheWHO
Programme for International Drug Monitoring
Dr. Shrey Bhatia
• 1970 :WHO-sponsored international drug monitoring project set up
atWHO headquarters in Geneva
• 1978 :Transferred to Sweden with the establishment of the WHO
Collaborating Centre for International Drug Monitoring in Uppsala
(now known as the Uppsala Monitoring Center, UMC)
• Full members: 127 countries, Associate members : 28 countries 5
• 1,52,79,436 ICSRs* in database5
5-WHO UMC annual report 2016-17 . * ICSR- individual case safety report
39
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
Global Drug Surveillance:TheWHO
Programme for International Drug Monitoring
Dr. Shrey Bhatia
5-WHO UMC annual report 2016-17 . * ICSR- individual case safety report
COUNTRY DESTRIBUTION OF ICSRs
received in year 2016-17 5
 Maximum: USA, 45%
 India: 3%
In 2017, the Pharmacovigilance
Programme of India (PvPI)- Indian
Pharmacopoeia Commission (IPC), in
Ghaziabad, India, became a WHO
Collaborating Centre.
40
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
GLOBAL DRUG SURVEILLANCE-
European Union pharmacovigilance system
Dr. Shrey Bhatia
EMA ( European Medical Association ) coordinates pharmacovigilance in
the EU
Member states
Member states
Member states
EUDRANET
41
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Case–Control Surveillance (CCS) uses case– control methodology to
systematically evaluate and detect effects of medications and other
exposures on the risk of serious illnesses, principally cancers.
 monitoring of non-prescription drugs and dietary supplements as
well as prescription drugs.
 assessment of whether genetic polymorphisms modify the effect of
a medication or supplement on the risk of the illness.
 Excellent statistical power for the detection of associations
42
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Method:
 Multiple CCS are conducted simultaneously
 Individuals with recently diagnosed cancer or nonmalignant
conditions are interviewed in a set of participating hospitals
 Recently diagnosed non-malignant disorders serve as a pool of
potential controls
43
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Method:
 From time to time a control diagnosis may itself be of interest as the
outcome
 Cases in one analysis may be controls in another.
 CCS database is used for hypothesis testing and discovery
44
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Interview data:
1. Drug information:
• histories of medication use for 43 indication or drug categories,
e.g., headache, cholesterol lowering, oral contraception,
menopausal symptoms, herbals/dietary supplements.
.
45
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Interview data:
2. Factors OtherThan Drugs
• Descriptive characteristics (e.g., age, height, weigh, race)
• habits (cigarette smoking, alcohol and coffee consumption)
• Gynaecologic and reproductive factors
• Medical history and family history
• Buccal cell samples for DNA collection, find out susceptibility by
virtue of inherited genotype
46
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Strengths:
 Non-prescription, prescription and dietary supplements
 Discovery of unsuspected associations
 Assessment of effects after long intervals or durations of use
 Control of confounding
 Accurate outcome data: hospital records/pathology reports
 High statistical power: large database/sample size
 Biologic component: whether genetic polymorphisms modify drug–
disease associations
47
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
CASE–CONTROL SURVEILLANCE
Dr. Shrey Bhatia
Weakness:
 Selection bias: Population-based CCS is infeasible for logistic and
budgetary reasons
 Recall bias
48
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
PRESCRIPTION EVENT MONITORING
Dr. Shrey Bhatia
Prescription-Event Monitoring (PEM)
cohort of users of a medicine is defined from prescriptions and
followed-up for a defined period (often 6-12months) so as to identify all
adverse events occurring in the early post-treatment period.
 both hypothesis generation and testing.
 Signal detection and evaluation in a manner very similar to
spontaneous reporting systems ,with much higher rates of reporting
49
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
PRESCRIPTION EVENT MONITORING
UK model of National Health Services
Dr. Shrey Bhatia
ABBREVATIONS:
DSRU- Drug Safety
Research Unit
PPD- Prescription
Pricing Division
PPA- Prescription
PricingAuthority
GP- General
Practitioner
50
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
PRESCRIPTION EVENT MONITORING
UK model of National Health Services
Dr. Shrey Bhatia
Reference: www.dsru.org
51
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
PRESCRIPTION EVENT MONITORING
Dr. Shrey Bhatia
Strengths:
 Non-interventional in nature and does not interfere with the
treatment-information collected after prescribing decision
 Patients from everyday clinical practice -real world population
 Exposure data from dispensed prescriptions.
 Concerned with Adverse Events- unsuspected ADRs are reported
 Prompting effect of green form to report- more complete than
spontaneous reports
52
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
PRESCRIPTION EVENT MONITORING
Dr. Shrey Bhatia
Weakness:
 All green forms are not returned- selection bias
 Depends on the accuracy of the doctors clinical notes
 Restricted to general practice, hospitals not included
 Patient compliance of taking medication is not measured
53
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
AUTOMATED DATABASES
Dr. Shrey Bhatia
Past two decades have seen a growing use of computerized databases
containing medical care data, so called “automated databases,” as
potential data sources for pharmacoepidemiology studies:
Claim database
• Insurance claims of pharmacy bills, hospital bills
• claims are often closely audited
• provide some of the best data on drug exposure
Medical record database
• computers to record medical information replacing the paper medical record.
• validity of the diagnosis data is better
• uncertain completeness of the data from other physicians/site of care
54
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
AUTOMATED DATABASES
Dr. Shrey Bhatia
Strengths :
 potential for providing a very large sample size.
 databases are relatively inexpensive to use
 claims databases information is complete, unlike medical records
 no opportunity for recall and interviewer bias
55
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
AUTOMATED DATABASES
Dr. Shrey Bhatia
Weakness :
 Uncertain validity of diagnosis data in claim database, unlike medical
records.
 lack information on some potential confounding variables. For
example, smoking, alcohol, date of menopause, etc in claim data
 do not include information on medications obtained without a
prescription or outside of the particular insurance plan
 instability of the population due to job changes, employers’ changes
of health plans,
56
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
AUTOMATED DATABASES
Dr. Shrey Bhatia
Examples :
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
OTHER APPROACHES
Dr. Shrey Bhatia
1. Drug utilization studies
• Provides insight into disease and treatment patterns of physicians
• Demographic data about the patient and the prescriber are also
collected
• Example: National Disease andTherapeutic Index* : Ongoing
medical audit where office-based physicians report four times each
year on all contacts with patients during a 48-hour period.
• useful for descriptive studies only, not for analytic studies.
*https://www.jhsph.edu/research/centers-and-institutes/center-for-drug-safety-and-
Effectiveness/research/data-assets/index.html
57
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
OTHER APPROACHES
Dr. Shrey Bhatia
2. Disease incidence data:
• Most countries maintain mortality statistics, derived from the death
certificates which also include information on causes of death.
• useful in performing analyses of secular trends
3. Registry data
• Usually these are just a collection of cases, without controls.
• Useful for performing a case–control study
• Spontaneous reporting system provide cases of ADRs
58
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
OTHER APPROACHES
Dr. Shrey Bhatia
4. Ad hoc case–control studies
• Cases recruited from whatever source is appropriate for that disease
• More flexibility in their design, allowing one to use community
controls and to tailor the data collection effort to the question at
hand
5. Ad hoc cohort studies
• sales representatives solicit physicians to enroll the next few
patients for whom they prescribe the drug in question and then give
followup information 59
SOURCES OF PHARMACOEPIDEMIOLOGY DATA
OTHER APPROACHES
Dr. Shrey Bhatia 60
• Control group is not needed, only measurement of frequency of
medical event: one cannot determine whether the observed
frequency is larger or smaller than would have been expected.
• Expensive
6. Randomized ControlTrial as post marketing surveillance
• They are artificial and raise logistical problems.
• intended to address specific questions about drug efficacy and few
are for drug safety
CHOOSING AMONG THE AVAILABLE ALTERNATIVES
Dr. Shrey Bhatia 61
• By considering the characteristics of the pharmacoepidemiology
resources available, as well as the characteristics of the question to
be addressed, choose those resources that are best suited to
addressing the question at hand.
• One may want to use more than one data collection strategy or
resource, in parallel or in combination
CHOOSING AMONG THE AVAILABLE ALTERNATIVES
Dr. Shrey Bhatia 62
• Relative size: spontaneous reporting systems,The Netherlands
Automated Pharmacy Record Linkage System, and Prescription-
Event Monitoring
• Relative speed : Studies that use existing data are most quick> RCT
and cohort
• Relative cost, studies that collect new data are most expensive,
randomized trials and cohort studies
CHOOSING AMONG THE AVAILABLE ALTERNATIVES
Dr. Shrey Bhatia 63
• Hypothesis generation: all studies, spontaneous reporting
• Hypothesis-strengthening: those that can quickly access, in
computerized form, both exposure data and outcome data
• Hypothesis-testing studies : randomized clinical trial> medical
records
SPECIAL ISSUES IN
PHARMACOEPIDIOLOGY
STUDIES
Dr. Shrey Bhatia 64
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 65
• Referral bias: physicians had been aware of the study objectives and
this might have influenced their referral of cases and hence increased
the apparent relative risk.
• Protopathic bias: arises when the initiation of a drug (exposure)
occurs in response to a symptom of the (at this point undiagnosed)
disease under study (outcome).
BIAS AND CONFOUNDING
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 66
• Recall bias: caused by differences in the accuracy or completeness of
the recollections retrieved ("recalled") by study participants
regarding events or experiences from the past.
Confounding: A situation in which the effect or association between an
exposure and outcome is distorted by the presence of another variable
BIAS AND CONFOUNDING
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 67
Confounding by Indication for Prescription/indication bias
BIAS AND CONFOUNDING
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 68
why individuals and groups of individuals respond differently to
a specific drug therapy, both in terms of beneficial and adverse
effects ?
MOLECULAR PHARMACOEPIDIMIOLOGY
MOLECULAR PHARMACOEPIDIMIOLOGY
A study of the manner in which molecular biomarkers alter
the clinical effects of medications in populations.
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 69
Pharmacogenetics : the study of how genetic variability is responsible
for differences in patients’ responses to drug exposure ( candidate
approach)
Pharmacogenomics : studies of genetic variability on drug response +
use of genetic information to guide the choice and dose of drug on an
individual basis ( genome-wide approach)
MOLECULAR PHARMACOLOGY
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 70
With the improvement of the techniques of molecular biology and
the application of these techniques in pharmacogenetic studies it is
expected that exciting developments will take place towards
determining the genetic foundations of drug side effects
MOLECULAR PHARMACOEPIDIMIOLOGY
SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES
Dr. Shrey Bhatia 71
• Research ethics has focused primarily on protecting human subjects
from the risks of research
• Violation of privacy and confidentiality is the chief risk in
pharmacoepidemiology studies.
• Review by an institutional review board (IRB) and full informed
consent have become the cornerstones of the protection of human
subjects from research risks.
BIOETHICAL ISSUES
SPECIAL APPLICATIONS OF
PHARMAEPIDIMIOLOGY
STUDIES
Dr. Shrey Bhatia 72
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 73
• Drug utilization , definition as perWHO: “marketing, distribution,
prescription and use of drugs in a society, with special emphasis on
the resulting medical, social, and economic consequences”
• Studies are performed to quantify and identify problems in drug
utilization, monitor changes in utilization patterns, or evaluate the
impact of interventions
STUDIES OF DRUG UTILIZATION
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 74
• Drug utilization review (DUR) programs have been defined as
“structured, ongoing initiatives that interpret patterns of drug use in
relation to predetermined criteria, and attempt to prevent or
minimize inappropriate prescribing.”
DRUG UTILIZATION REVIEW
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 75
• Interventions to improve physician prescribing need to be tested in
rigorous controlled trials before widespread and expensive
implementation.
Evaluating and Improving Physician Prescribing
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 76
• Gaps and limitations in our knowledge of many vaccine safety issues
• New research capacity, such as theVaccine Safety Datalink, provides
powerful tools to address many safety concerns
Pharmacoepidemiologic Studies ofVaccine
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 77
• Existing data sources have limited utility for medical device
epidemiology because complete documentation of device use is not
routine.
• lack of a detailed identification system (analogous to the National
Drug Code) for medical devices.
Pharmacoepidemiologic Studies of Devices
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 78
• Human teratogenesis can only be identified in the postmarketing
setting.
• Pregnancy registries: “high-risk teratogens” (e.g., thalidomide,
isotretinoin )
• case–control approaches: “moderate-risk teratogens” and to
identify relative safety
• Combining the complementary strengths of cohort and case–control
approaches can provide a comprehensive design to identify human
teratogens
Studies of Drug-Induced Birth Defects
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 79
• It is possible now to detect many medication errors using large
claims databases,
• possible to link these data with clinical data, laboratory and
diagnosis data
• increasing use of electronic health records should have a dramatic
effect
Study of Medication Errors
SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES
Dr. Shrey Bhatia 80
• Routine recording of demographic and clinical information on
hospitalized patients, including all drugs
• comparing the rates of events occurring in these patients and
performing cohort studies, one could detect adverse reactions,
whether or not physicians suspected any associations between drugs
and events.
• Hospitals now have ad hoc adverse drug reaction monitoring and
drug use evaluation programs
Hospital Pharmacoepidemiology
CHALLANGES
Dr. Shrey Bhatia 81
CHALLANGES
Dr. Shrey Bhatia 82
 limited funding opportunities
 Regulatory restriction
 Privacy concerns surrounding human research
 Limited training opportunities
SUMMARY
Dr. Shrey Bhatia 83
SUMMARY
Dr. Shrey Bhatia 84
• Pharmacoepidemiology is the study of the use of and the effects of
drugs in large numbers of people
• Reasons to perform pharmacoepidemiology studies: regulatory,
marketing, legal, clinical ( hypothesis generation and testing)
• Case reports and case series- useful to suggest an association
• Secular trends and case-control studies- useful to explore these
associations
• RCT, cohort studies: analysing association
SUMMARY
Dr. Shrey Bhatia 85
Sources of PE data
 Spontaneous AE reporting
 Global Drug surveillance
 Case- control surveillance
 Prescription event monitoring
 Automated databases
 Others
SUMMARY
Dr. Shrey Bhatia 86
•PE can contribute to information about drug safety and effectiveness
that is not available from pre-marketing studies
“There are no really “safe” biologically active drugs.There are
only “safe” physicians.”
Harold A. Kaminetzsky, 1963.
THANKYOUFORYOUR
ATTENTION
Dr. Shrey Bhatia 87

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Pharmacoepidemiology

  • 1. PHARMACOEPIDEMIOLOGY Presentation by: Dr. Shrey Bhatia Junior Resident Department of Pharmacology GMC, Patiala 1Dr. Shrey Bhatia
  • 2. What is pharmacoepidemiology ? 2 OVERVIEW 1 Study designs available for pharmacoepidemiological studies2 When should one perform pharmacoepidemiological study ? Sources of pharmacoepidemiology data. Special issues in pharmacoepidemiological methodology 3 4 5 Dr. Shrey Bhatia
  • 3. PHARMACOEPIDEMIOLOGY • Pharmacoepidemiology is the study of the use of and the effects of drugs in large numbers of people. • The term pharmacoepidemiology contains two components: “pharmaco” and “epidemiology.” 3 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 4. PHARMACOEPIDEMIOLOGY versus CLINICAL PHARMACOLOGY • Pharmacology : study of the effects of drugs. • Clinical pharmacology : study of the effects of drugs in humans • Central principle of clinical pharmacology : therapy should be individualized which requires the determination of a risk/benefit balance 4 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 5. PHARMACOEPIDEMIOLOGY versus CLINICAL PHARMACOLOGY 5 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia Beneficial and harmful effects of the drugs Clinical status of the patient Risk/benefit balance Pharmacoepidimiology
  • 6. PHARMACOEPIDEMIOLOGY versus CLINICAL PHARMACOLOGY • Pharmacoepidemiology is the implementation of epidemiological methods, knowledge and logical justifications in the field of clinical pharmacology via focusing upon studies on the drug effects on, and drug use by, large numbers of people. 6 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 7. PHARMACOEPIDEMIOLOGY versus EPIDEMIOLOGY • Epidemiology is the study of the distribution and determinants of diseases in populations. • Because it investigates drug interactions observed in many people, pharmacoepidemiology is clearly a sub-branch of epidemiology 7 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 8. PHARMACOEPIDEMIOLOGY = CLINICAL PHARMACOLOGY + EPIDEMIOLOGY 8 WHAT IS PHARMACOEPIDEMIOLOGY ? CLINICAL PHARMACOLOGY PHARMACO- EPIDEMIOLOGY EPIDEMIOLOGY Dr. Shrey Bhatia Pharmacoepidemiology takes its focus of knowledge from clinical pharmacology and the research methods from epidemiology.
  • 9. HISTORICAL BACKGROUND THALIDOMIDE DISASTER • Until the 1950s not enough attention has been paid to the side effects of drugs. • 1960’s is the beginning of the discipline of pharmacoepidemiology • 1961 : dramatic increase was seen in the frequency of a previously rare birth defect, phocomelia; caused by in-utero exposure of Thalidomide1. • World Health Organization established a bureau to collect information from national drug monitoring organizations 9 WHAT IS PHARMACOEPIDEMIOLOGY ? PHOCOMELIA: absence of limbs or parts of limbs in patients with in utero exposure to thalidomide 1- Ridings JE.The thalidomide disaster, lessons from the past. InTeratogenicityTesting 2013 (pp. 575-586). Humana Press,Totowa, NJ. Dr. Shrey Bhatia
  • 10. 2- balcik p. pharmacoepidemiology. IOSR Journal Of Pharmacy. 2018;6(2):57-62. HISTORICAL BACKGROUND • 1962: the USA, Kefauver–Harris Amendments2 : strengthened the requirements for proof of drug safety before a drug could be tested in humans • 1968: United Kingdom, establishment of the Committee on Safety of Medicines and Medicines Act of 1968 • The mid-1960s : publication of a series of drug utilization studies; began a series of investigations of the frequency and determinants of poor prescribing by physicians 10 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 11. 2- balcik p. pharmacoepidemiology. IOSR Journal Of Pharmacy. 2018;6(2):57-62. HISTORICAL BACKGROUND • Other programmes established in various countries2: Boston Collaborative Drug Surveillance Program The Joint Commission on Prescription Drug Use Drug Epidemiology Unit Drug Safety ResearchTrust ( 1980, UK) • 1990s and 2000s : inclusion of studies to assess beneficial drug effects, quality-of-life of patients, meta-analysis, etc. 11 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 12. CONTRIBUTIONS OF PHARMACOEPIDEMIOLOGICAL STUDIES • Information which supplements the information available from premarketing studies Higher precision : larger sample size  Effects in Elderly, children, pregnant women  drug-drug interactions and other illnesses • New types of information not available from premarketing studies Discovery of previously undetected adverse and beneficial effects Patterns of drug utilization The effects of drug overdoses The economic implications of drug use • General contributions of pharmacoepidemiology  Reassurances about drug safety 12 WHAT IS PHARMACOEPIDEMIOLOGY ? Dr. Shrey Bhatia
  • 14. 14 STUDY DESIGNS AVAILABLE FOR PHARMACOEPIDEMIOLOGICAL STUDIES RANDOMIZED CLINICALTRIAL (Experimental studies) COHORT STUDIES CASE-CONTROL STUDIES SECULARTRENDS CASE SERIES CASE REPORTS • Analytical studies • Control present • Descriptive studies • Control absent Increasingevidencestrength Dr. Shrey Bhatia
  • 15. 15 STUDY DESIGNS AVAILABLE FOR PHARMACOEPIDEMIOLOGICAL STUDIES RANDOMIZED CLINICALTRIAL (Experimental studies) COHORT STUDIES CASE-CONTROL STUDIES SECULARTRENDS CASE SERIES CASE REPORTS Exploring the association Suggesting an association Analysis of association Dr. Shrey Bhatia
  • 16. WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY? Dr. Shrey Bhatia 16
  • 17. REASONSTO PERFORM PHARMACOEPIDEMIOLOGY STUDIES • Regulatory  Required by regulatory agencies to have a post marketing surveillance programme for the drug 17 WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY Dr. Shrey Bhatia
  • 18. REASONSTO PERFORM PHARMACOEPIDEMIOLOGY STUDIES • Marketing To assist market penetration by documenting the safety of the drug To protect the drug from accusations about adverse effects • Legal  In anticipation of future product liability litigation 18 WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY Dr. Shrey Bhatia
  • 19. REASONSTO PERFORM PHARMACOEPIDEMIOLOGY STUDIES • Clinical  Hypothesis testing Problem hypothesized on the basis of drug structure Problem suspected on the basis of preclinical or premarketing human data Problem suspected on the basis of spontaneous reports 19 WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY Dr. Shrey Bhatia
  • 20. REASONSTO PERFORM PHARMACOEPIDEMIOLOGY STUDIES Hypothesis generating—need depends on: • whether it is a new chemical entity • the safety profile of the class • the relative safety of the drug within its class • the formulation • the disease to be treated 20 WHEN SHOULD ONE PERFORM PHARMACOEPIDEMIOLOGICAL STUDY Dr. Shrey Bhatia
  • 22. Spontaneous AE reporting Global Drug surveillance Case- control surveillance Prescription event monitoring Automated databases Others 22 SOURCES OF PHARMACOEPIDEMIOLOGY DATA Dr. Shrey Bhatia
  • 23. 23 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM Dr. Shrey Bhatia SPONTANEOUS REPORTING: All unsolicited reports of suspected adverse events (AEs) from health care professionals or consumers or pharmaceutical companies, received by the regulatory authorities ( FDA, CDSCO,NCC, AMC etc)*  Clinical observation that originates outside of a formal study.  Mainstay of national and international drug safety evaluation in the post-approval phase3 3- FletcherAP. Spontaneous adverse drug reaction reporting vs event monitoring: a comparison. J R Soc Med. 1991 Jun;84(6):341-4. *FDA- Food and DrugAdmninistration,CDSCO- Central Drug Standard and Control Organisation, NCC- NationalCoordinationCenter,AMC- ADR monitoring center
  • 24. 24 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM Dr. Shrey Bhatia  Spontaneous reports are confirmed by formal epidemiological studies (case-control and cohort studies) CONTRIBUTIONS4 Generate preliminary signals about potential adverse effects and hypothesis generation with the help of Data Mining Covers all drugs in whole patient population, including special subgroup Inexpensive and simple 4- RAWLINS, MICHAEL D. Spontaneous reporting of adverse drug reactions.QJM.1986.59(230): 531-534.
  • 25. 25 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM Dr. Shrey Bhatia Data mining A technique for extracting meaningful, organized information from large complex databases ; Computer is used to identify potential signals in large databases
  • 26. 26 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM Dr. Shrey Bhatia Signal: alert if a drug is associated with: Previously unrecognized hazard Known hazard more frequent or more serious than expected • Series ( minimum 3) of cases of similar suspected ADRs in relation to a particular drug generates a signal • Provide preliminary information about postulating a hypothesis and not for testing it
  • 27. 28 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM Dr. Shrey Bhatia Next steps for further analysis of hypothesis generated by spontaneous reports:  prove or refute these hypotheses;  estimate the incidence, relative risk, and excess risk of the ADRs;  explore the mechanisms involved;  identify special risk groups.
  • 28. 29 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM Dr. Shrey Bhatia Concerns with spontaneous reporting: Underreporting : as high as 98% 3 Amount of information available is often too limited to permit thorough case evaluation Reactions which have a long latency, or rarely having a recognised iatrogenic basis, may remain unrecognised by this technique Spontaneous reporting of adverse events for a drug tends to peak at the end of the second year of marketing and then declines thereafter (Weber effect). 3- FletcherAP. Spontaneous adverse drug reaction reporting vs event monitoring: a comparison. J R Soc Med. 1991 Jun;84(6):341-4.
  • 29. • Initiated by GOI in July 2010 • Indian Pharmacopoeia Commission ( IPC) in an autonomous institution of Ministry of Health and FamilyWelfare, GOI, functions as National Coordination Center for PvPI • Follows spontaneous reporting system for data collection 30 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM- INDIAN SCENARIO Dr. Shrey Bhatia PHARMACOVIGILANCE PROGRAMME OF INDIA ( PvPI)
  • 30. 32 SOURCES OF PHARMACOEPIDEMIOLOGY DATA SPONTANEOUS ADVERSE EFFECTS REPORTING SYSTEM- INDIAN SCENARIO Dr. Shrey Bhatia Ensure quality, integrity, completeness Causality assessment of reports Reviewing, analysing, forwarding reports toWHO-UMC, CDSCO Regulatory decisions
  • 31. 35 SOURCES OF PHARMACOEPIDEMIOLOGY DATA GLOBAL DRUG SURVEILLANCE Dr. Shrey Bhatia • International effort to harmonize the terms used to describe the adverse events and to set criteria and definitions for reactions. • Efforts to harmonize the way data are stored and communicated internationally. • The main agencies involved in this work : WHO –World Health Organisation CIOMS- Council for International Organizations of Medical Sciences ICH- International Conference on Harmonisation
  • 32. 36 SOURCES OF PHARMACOEPIDEMIOLOGY DATA GLOBAL DRUG SURVEILLANCE Dr. Shrey Bhatia Medical Dictionary for Regulatory Activities is a clinically validated international medical terminology dictionary used by regulatory authorities; endorsed by ICH ICH E2B format : is a guideline for the transmission format for information to be included on an adverse reaction case report.
  • 33. 37 SOURCES OF PHARMACOEPIDEMIOLOGY DATA GLOBAL DRUG SURVEILLANCE Dr. Shrey Bhatia Two International Systems: European Union ( EU) pharmacovigilance system WHO-UMC ( Uppsala Monitoring Center) , Sweden
  • 34. 38 SOURCES OF PHARMACOEPIDEMIOLOGY DATA Global Drug Surveillance:TheWHO Programme for International Drug Monitoring Dr. Shrey Bhatia • 1970 :WHO-sponsored international drug monitoring project set up atWHO headquarters in Geneva • 1978 :Transferred to Sweden with the establishment of the WHO Collaborating Centre for International Drug Monitoring in Uppsala (now known as the Uppsala Monitoring Center, UMC) • Full members: 127 countries, Associate members : 28 countries 5 • 1,52,79,436 ICSRs* in database5 5-WHO UMC annual report 2016-17 . * ICSR- individual case safety report
  • 35. 39 SOURCES OF PHARMACOEPIDEMIOLOGY DATA Global Drug Surveillance:TheWHO Programme for International Drug Monitoring Dr. Shrey Bhatia 5-WHO UMC annual report 2016-17 . * ICSR- individual case safety report COUNTRY DESTRIBUTION OF ICSRs received in year 2016-17 5  Maximum: USA, 45%  India: 3% In 2017, the Pharmacovigilance Programme of India (PvPI)- Indian Pharmacopoeia Commission (IPC), in Ghaziabad, India, became a WHO Collaborating Centre.
  • 36. 40 SOURCES OF PHARMACOEPIDEMIOLOGY DATA GLOBAL DRUG SURVEILLANCE- European Union pharmacovigilance system Dr. Shrey Bhatia EMA ( European Medical Association ) coordinates pharmacovigilance in the EU Member states Member states Member states EUDRANET
  • 37. 41 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Case–Control Surveillance (CCS) uses case– control methodology to systematically evaluate and detect effects of medications and other exposures on the risk of serious illnesses, principally cancers.  monitoring of non-prescription drugs and dietary supplements as well as prescription drugs.  assessment of whether genetic polymorphisms modify the effect of a medication or supplement on the risk of the illness.  Excellent statistical power for the detection of associations
  • 38. 42 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Method:  Multiple CCS are conducted simultaneously  Individuals with recently diagnosed cancer or nonmalignant conditions are interviewed in a set of participating hospitals  Recently diagnosed non-malignant disorders serve as a pool of potential controls
  • 39. 43 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Method:  From time to time a control diagnosis may itself be of interest as the outcome  Cases in one analysis may be controls in another.  CCS database is used for hypothesis testing and discovery
  • 40. 44 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Interview data: 1. Drug information: • histories of medication use for 43 indication or drug categories, e.g., headache, cholesterol lowering, oral contraception, menopausal symptoms, herbals/dietary supplements. .
  • 41. 45 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Interview data: 2. Factors OtherThan Drugs • Descriptive characteristics (e.g., age, height, weigh, race) • habits (cigarette smoking, alcohol and coffee consumption) • Gynaecologic and reproductive factors • Medical history and family history • Buccal cell samples for DNA collection, find out susceptibility by virtue of inherited genotype
  • 42. 46 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Strengths:  Non-prescription, prescription and dietary supplements  Discovery of unsuspected associations  Assessment of effects after long intervals or durations of use  Control of confounding  Accurate outcome data: hospital records/pathology reports  High statistical power: large database/sample size  Biologic component: whether genetic polymorphisms modify drug– disease associations
  • 43. 47 SOURCES OF PHARMACOEPIDEMIOLOGY DATA CASE–CONTROL SURVEILLANCE Dr. Shrey Bhatia Weakness:  Selection bias: Population-based CCS is infeasible for logistic and budgetary reasons  Recall bias
  • 44. 48 SOURCES OF PHARMACOEPIDEMIOLOGY DATA PRESCRIPTION EVENT MONITORING Dr. Shrey Bhatia Prescription-Event Monitoring (PEM) cohort of users of a medicine is defined from prescriptions and followed-up for a defined period (often 6-12months) so as to identify all adverse events occurring in the early post-treatment period.  both hypothesis generation and testing.  Signal detection and evaluation in a manner very similar to spontaneous reporting systems ,with much higher rates of reporting
  • 45. 49 SOURCES OF PHARMACOEPIDEMIOLOGY DATA PRESCRIPTION EVENT MONITORING UK model of National Health Services Dr. Shrey Bhatia ABBREVATIONS: DSRU- Drug Safety Research Unit PPD- Prescription Pricing Division PPA- Prescription PricingAuthority GP- General Practitioner
  • 46. 50 SOURCES OF PHARMACOEPIDEMIOLOGY DATA PRESCRIPTION EVENT MONITORING UK model of National Health Services Dr. Shrey Bhatia Reference: www.dsru.org
  • 47. 51 SOURCES OF PHARMACOEPIDEMIOLOGY DATA PRESCRIPTION EVENT MONITORING Dr. Shrey Bhatia Strengths:  Non-interventional in nature and does not interfere with the treatment-information collected after prescribing decision  Patients from everyday clinical practice -real world population  Exposure data from dispensed prescriptions.  Concerned with Adverse Events- unsuspected ADRs are reported  Prompting effect of green form to report- more complete than spontaneous reports
  • 48. 52 SOURCES OF PHARMACOEPIDEMIOLOGY DATA PRESCRIPTION EVENT MONITORING Dr. Shrey Bhatia Weakness:  All green forms are not returned- selection bias  Depends on the accuracy of the doctors clinical notes  Restricted to general practice, hospitals not included  Patient compliance of taking medication is not measured
  • 49. 53 SOURCES OF PHARMACOEPIDEMIOLOGY DATA AUTOMATED DATABASES Dr. Shrey Bhatia Past two decades have seen a growing use of computerized databases containing medical care data, so called “automated databases,” as potential data sources for pharmacoepidemiology studies: Claim database • Insurance claims of pharmacy bills, hospital bills • claims are often closely audited • provide some of the best data on drug exposure Medical record database • computers to record medical information replacing the paper medical record. • validity of the diagnosis data is better • uncertain completeness of the data from other physicians/site of care
  • 50. 54 SOURCES OF PHARMACOEPIDEMIOLOGY DATA AUTOMATED DATABASES Dr. Shrey Bhatia Strengths :  potential for providing a very large sample size.  databases are relatively inexpensive to use  claims databases information is complete, unlike medical records  no opportunity for recall and interviewer bias
  • 51. 55 SOURCES OF PHARMACOEPIDEMIOLOGY DATA AUTOMATED DATABASES Dr. Shrey Bhatia Weakness :  Uncertain validity of diagnosis data in claim database, unlike medical records.  lack information on some potential confounding variables. For example, smoking, alcohol, date of menopause, etc in claim data  do not include information on medications obtained without a prescription or outside of the particular insurance plan  instability of the population due to job changes, employers’ changes of health plans,
  • 52. 56 SOURCES OF PHARMACOEPIDEMIOLOGY DATA AUTOMATED DATABASES Dr. Shrey Bhatia Examples :
  • 53. SOURCES OF PHARMACOEPIDEMIOLOGY DATA OTHER APPROACHES Dr. Shrey Bhatia 1. Drug utilization studies • Provides insight into disease and treatment patterns of physicians • Demographic data about the patient and the prescriber are also collected • Example: National Disease andTherapeutic Index* : Ongoing medical audit where office-based physicians report four times each year on all contacts with patients during a 48-hour period. • useful for descriptive studies only, not for analytic studies. *https://www.jhsph.edu/research/centers-and-institutes/center-for-drug-safety-and- Effectiveness/research/data-assets/index.html 57
  • 54. SOURCES OF PHARMACOEPIDEMIOLOGY DATA OTHER APPROACHES Dr. Shrey Bhatia 2. Disease incidence data: • Most countries maintain mortality statistics, derived from the death certificates which also include information on causes of death. • useful in performing analyses of secular trends 3. Registry data • Usually these are just a collection of cases, without controls. • Useful for performing a case–control study • Spontaneous reporting system provide cases of ADRs 58
  • 55. SOURCES OF PHARMACOEPIDEMIOLOGY DATA OTHER APPROACHES Dr. Shrey Bhatia 4. Ad hoc case–control studies • Cases recruited from whatever source is appropriate for that disease • More flexibility in their design, allowing one to use community controls and to tailor the data collection effort to the question at hand 5. Ad hoc cohort studies • sales representatives solicit physicians to enroll the next few patients for whom they prescribe the drug in question and then give followup information 59
  • 56. SOURCES OF PHARMACOEPIDEMIOLOGY DATA OTHER APPROACHES Dr. Shrey Bhatia 60 • Control group is not needed, only measurement of frequency of medical event: one cannot determine whether the observed frequency is larger or smaller than would have been expected. • Expensive 6. Randomized ControlTrial as post marketing surveillance • They are artificial and raise logistical problems. • intended to address specific questions about drug efficacy and few are for drug safety
  • 57. CHOOSING AMONG THE AVAILABLE ALTERNATIVES Dr. Shrey Bhatia 61 • By considering the characteristics of the pharmacoepidemiology resources available, as well as the characteristics of the question to be addressed, choose those resources that are best suited to addressing the question at hand. • One may want to use more than one data collection strategy or resource, in parallel or in combination
  • 58. CHOOSING AMONG THE AVAILABLE ALTERNATIVES Dr. Shrey Bhatia 62 • Relative size: spontaneous reporting systems,The Netherlands Automated Pharmacy Record Linkage System, and Prescription- Event Monitoring • Relative speed : Studies that use existing data are most quick> RCT and cohort • Relative cost, studies that collect new data are most expensive, randomized trials and cohort studies
  • 59. CHOOSING AMONG THE AVAILABLE ALTERNATIVES Dr. Shrey Bhatia 63 • Hypothesis generation: all studies, spontaneous reporting • Hypothesis-strengthening: those that can quickly access, in computerized form, both exposure data and outcome data • Hypothesis-testing studies : randomized clinical trial> medical records
  • 61. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 65 • Referral bias: physicians had been aware of the study objectives and this might have influenced their referral of cases and hence increased the apparent relative risk. • Protopathic bias: arises when the initiation of a drug (exposure) occurs in response to a symptom of the (at this point undiagnosed) disease under study (outcome). BIAS AND CONFOUNDING
  • 62. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 66 • Recall bias: caused by differences in the accuracy or completeness of the recollections retrieved ("recalled") by study participants regarding events or experiences from the past. Confounding: A situation in which the effect or association between an exposure and outcome is distorted by the presence of another variable BIAS AND CONFOUNDING
  • 63. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 67 Confounding by Indication for Prescription/indication bias BIAS AND CONFOUNDING
  • 64. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 68 why individuals and groups of individuals respond differently to a specific drug therapy, both in terms of beneficial and adverse effects ? MOLECULAR PHARMACOEPIDIMIOLOGY MOLECULAR PHARMACOEPIDIMIOLOGY A study of the manner in which molecular biomarkers alter the clinical effects of medications in populations.
  • 65. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 69 Pharmacogenetics : the study of how genetic variability is responsible for differences in patients’ responses to drug exposure ( candidate approach) Pharmacogenomics : studies of genetic variability on drug response + use of genetic information to guide the choice and dose of drug on an individual basis ( genome-wide approach) MOLECULAR PHARMACOLOGY
  • 66. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 70 With the improvement of the techniques of molecular biology and the application of these techniques in pharmacogenetic studies it is expected that exciting developments will take place towards determining the genetic foundations of drug side effects MOLECULAR PHARMACOEPIDIMIOLOGY
  • 67. SPECIAL ISSUES IN PHARMACOEPIDIOLOGY STUDIES Dr. Shrey Bhatia 71 • Research ethics has focused primarily on protecting human subjects from the risks of research • Violation of privacy and confidentiality is the chief risk in pharmacoepidemiology studies. • Review by an institutional review board (IRB) and full informed consent have become the cornerstones of the protection of human subjects from research risks. BIOETHICAL ISSUES
  • 69. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 73 • Drug utilization , definition as perWHO: “marketing, distribution, prescription and use of drugs in a society, with special emphasis on the resulting medical, social, and economic consequences” • Studies are performed to quantify and identify problems in drug utilization, monitor changes in utilization patterns, or evaluate the impact of interventions STUDIES OF DRUG UTILIZATION
  • 70. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 74 • Drug utilization review (DUR) programs have been defined as “structured, ongoing initiatives that interpret patterns of drug use in relation to predetermined criteria, and attempt to prevent or minimize inappropriate prescribing.” DRUG UTILIZATION REVIEW
  • 71. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 75 • Interventions to improve physician prescribing need to be tested in rigorous controlled trials before widespread and expensive implementation. Evaluating and Improving Physician Prescribing
  • 72. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 76 • Gaps and limitations in our knowledge of many vaccine safety issues • New research capacity, such as theVaccine Safety Datalink, provides powerful tools to address many safety concerns Pharmacoepidemiologic Studies ofVaccine
  • 73. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 77 • Existing data sources have limited utility for medical device epidemiology because complete documentation of device use is not routine. • lack of a detailed identification system (analogous to the National Drug Code) for medical devices. Pharmacoepidemiologic Studies of Devices
  • 74. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 78 • Human teratogenesis can only be identified in the postmarketing setting. • Pregnancy registries: “high-risk teratogens” (e.g., thalidomide, isotretinoin ) • case–control approaches: “moderate-risk teratogens” and to identify relative safety • Combining the complementary strengths of cohort and case–control approaches can provide a comprehensive design to identify human teratogens Studies of Drug-Induced Birth Defects
  • 75. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 79 • It is possible now to detect many medication errors using large claims databases, • possible to link these data with clinical data, laboratory and diagnosis data • increasing use of electronic health records should have a dramatic effect Study of Medication Errors
  • 76. SPECIAL APPLICATIONS OF PHARMAEPIDIMIOLOGY STUDIES Dr. Shrey Bhatia 80 • Routine recording of demographic and clinical information on hospitalized patients, including all drugs • comparing the rates of events occurring in these patients and performing cohort studies, one could detect adverse reactions, whether or not physicians suspected any associations between drugs and events. • Hospitals now have ad hoc adverse drug reaction monitoring and drug use evaluation programs Hospital Pharmacoepidemiology
  • 78. CHALLANGES Dr. Shrey Bhatia 82  limited funding opportunities  Regulatory restriction  Privacy concerns surrounding human research  Limited training opportunities
  • 80. SUMMARY Dr. Shrey Bhatia 84 • Pharmacoepidemiology is the study of the use of and the effects of drugs in large numbers of people • Reasons to perform pharmacoepidemiology studies: regulatory, marketing, legal, clinical ( hypothesis generation and testing) • Case reports and case series- useful to suggest an association • Secular trends and case-control studies- useful to explore these associations • RCT, cohort studies: analysing association
  • 81. SUMMARY Dr. Shrey Bhatia 85 Sources of PE data  Spontaneous AE reporting  Global Drug surveillance  Case- control surveillance  Prescription event monitoring  Automated databases  Others
  • 82. SUMMARY Dr. Shrey Bhatia 86 •PE can contribute to information about drug safety and effectiveness that is not available from pre-marketing studies “There are no really “safe” biologically active drugs.There are only “safe” physicians.” Harold A. Kaminetzsky, 1963.

Notas del editor

  1. What is pharmacoepidemiology ? Study designs available for pharmacoepidemiological studies When should one perform pharmacoepidemiological study ? Sources of pharmacoepidemiology data. Special issues in pharmacoepidemiological methodology
  2. How elements of clinical status of the patients will modify the effect of the drug in that particular patient. patient with a serious infection, serious liver impairment, and mild impairment of his or her renal function. In considering whether to use gentamicin to treat the infection, it is not sufficient to know that gentamicin has a small probability of causing renal disease. A good clinician should realize that a patient who has impaired liver function is at a greater risk of suffering from this adverse effect than one with normal liver function
  3. For example, at the time of drug marketing, prazosin was known to cause a dose-dependent first dose syncope, but the FDA requested the manufacturer to conduct a postmarketing surveillance study in the US to quantitate its incidence more precisely Drug drug intereaction and other illness: For example, after marketing, the ophthalmic preparation of timolol was noted to cause many serious episodes of heart block and asthma, resulting in over ten deaths. These effects were not detected prior to marketing, as patients with underlying cardiovascular or respiratory disease were excluded from the premarketing studies. new type of information- due to inc sample size, more time duration- delayed effects are observed, example unusual clear cell adenocarcinoma of the vagina and cervix, which occurred two decades later in women exposed in utero to diethylstilbestrol
  4. Case reports are simply reports of events observed in single patients Case series are collections of patients, all of whom have a single exposure, whose clinical outcomes are then evaluated and described. collections of patients with a single outcome, looking at their antecedent exposures. Analyses of secular trends, sometimes called “ecological studies,” examine trends in an exposure that is a presumed cause and trends in a disease that is a presumed effect and test whether the trends coincide As an example, one might look at sales data for oral contraceptives and compare them to death rates from venous thromboembolism, using recorded vital statistics. useful for rapidly providing evidence for or against a hypothesis. However, these studies lack data on individuals; they utilize only aggregated group data . unable to control for confounding. Unable to differentiate which exposure is likely to be the true cause.
  5. Marketing: physicians are appropriately hesitant to prescribe a drug until a substantial amount of experience in its use has been gathered. Product name recognition. When a question arises about a drug’s toxicity, it often needs an immediate answer, or else the drug may lose market share or even be removed from the market. Immediate answers are often unavailable, unless the manufacturer had the foresight to perform pharmacoepidemiology studies
  6. New chemical entity- lack of experience with related drugs makes it more likely that the new drug has possibly important unsuspected effects. Safety profile of class- if previous experience of drugs in the same class suggest potential side effects , one may decide whether to perform pe studies or not Diseases- Drugs used to treat chronic illnesses are likely to be used for a long period of time. As such, it is important to know their long-term effects.
  7. More and more drugs previously available only by prescription, such as ibuprofen, naproxen, and cimetidine, are being approved for over-the-counter sales, and the change from prescription to non-prescription sales often results in large increases in use. The use of dietary supplements, including herbal supplements, has increased dramatically in recent years. they do not have to be shown to be efficacious or safe before being marketed. In view of their widespread use, their potential to act as carcinogens, and their possible influence on estrogen action and metabolism, dietary supplements should be monitored for unanticipated effects on the occurrence of cancer and other illnesses. Lack information on non-prescription medications and dietary supplements. They are also problematic for the documentation of carcinogenic effects that may occur long after the initiation of drug use. Because CCS obtains data on many exposures and many outcomes, the system has the capacity for discovery of unsuspected associations.
  8. Discovery of unsuspected associations eg inverse ass of aspirin and colorectal cancer. Because CCS obtains data on many exposures and many outcomes, the system has the capacity for discovery of unsuspected Associations. Control of confounding: CCS systematically collects detailed information on important potential confounding factors. These include demographic characteristics, aspects of medical history, reproductive and gynecologic history, family history of cancer, use of tobacco and alcohol, and use of medical care, in addition to use of prescription and non-prescription drugs and dietary supplements
  9. Selection bias: When feasible, population-based case–control studies (i.e., identifying all cases in a geographic region and a random selection of non-diseased from the same population as controls) are optimal. Population-based CCS is infeasible for logistic and budgetary reasons.
  10. green form includes the definition of an “event,” which is: “any new diagnosis, any reason for referral to a consultant or admission to hospital, any unexpected deterioration (or improvement) in a concurrent illness, any suspected drug reaction, any alteration of clinical importance in laboratory values or any other complaint which was considered of sufficient importance to enter in the patient’s notes
  11. validity of the diagnosis data in these databases is better than that in claims databases, as these data are being used for medical care. Also claim database, hosp uses icd codes to inform insurer abtt discharge diagnosis, which is not the actual diagnosis mentioned by physician. uncertain completeness of the data from other physicians and sites of care. Any given practitioner provides only a piece of the care a patient receives, and inpatient and outpatient care are unlikely to be recorded in a common medical record. Clain database: have to justify the bill with a diagnosis. filing of an incorrect claim about drugs dispensed is fraud, claims are often closely audited, e.g., by Medicaid. claims data of this type provide some of the best data on drug exposure in pharmacoepidemiology The quality of disease data in these databases is somewhat less perfect. reimbursement does not usually depend on the actual diagnosis, but rather on the procedures. based primarily on the discharge diagnoses assigned by the patient’s attending physician. (Of course, this does not guarantee that the physician’s diagnosis is correct
  12. The National Disease and Therapeutic Index™ (NDTI) is a monthly audit of office-based physicians that provides information regarding patterns and treatment of disease in the continental United States
  13. Adhoc ccs: Controls can then be recruited from either the site of medical care for the cases or from the community where the cases come from.
  14. Adhoc ccs: Controls can then be recruited from either the site of medical care for the cases or from the community where the cases come from.
  15. hypothesis testing: Techniques which allow access to patients and their medical records are the next most powerful, as one can gather information on potential confounders– medical records Hypothesis strengthening and testing- spontaneous reporting not used. RCT expensive. Should be inexpensive and rapid. More detailed than generating, decide if definitive studies required.
  16. When an exposure appears to be associated with an outcome, the outcome may, in fact, be caused by the indication for which the exposure was used, or some factor associated with the indication. The apparent association between the exposure and the outcome is then said to be confounded by the indication, which is the true cause of the outcome. In some cases, the indication may mask the outcome.
  17. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  18. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  19. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  20. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  21. The Vaccine Safety Datalink (VSD) is a collaborative project between CDC’s Immunization Safety Office and eight health care organizations. VSD conducts vaccine safety studies based on questions or concerns raised from the medical literature and reports to the Vaccine Adverse Event Reporting System (VAERS)
  22. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  23. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  24. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  25. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  26. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  27. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  28. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information
  29. Informed consent is a process for getting permission before conducting a healthcare intervention on a person, or for disclosing personal information