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The New European PV Legislation:
Issues and Challenges

John A. Clark, MD, MSPH
President and Chief Medical Officer
PCSglobal

Regulatory Affairs Professional Society
2013 Annual Meeting
September 30, 2013
Medical Product Safety
Safety-Related Information Systems
PRIMARY PHARMACOVIGILANCE SYSTEMS

l 
l 
l 
l 

Expedited adverse event case reports
Signaling and surveillance
Benefit-risk evaluations
Risk management
Safety-Related Information Systems
Issues and Challenges Posed by EU Regulations

What are the major issues?
What are the biggest challenges?
Safety-Related Information Systems
Expedited Adverse Event Case Reports
SYSTEM ATTRIBUTES

l 
l 
l 
l 
l 
l 

Purpose: identify ADRs with emphasis on
unexpected, serious
Product specificity: non-specific
Information unit: single patient adverse
experience(s)
Basic approach: medical interpretation of
cases
Typical analyses: individual case causality
analysis, review of line listings
Focus: risk
Safety-Related Information Systems
Expedited Adverse Event Case Reports
ISSUES

l 

Enlargement of ADR definitions
–  Global safety experiences
–  All conditions of use
–  All reporting environments
–  All reporters

l 

Integration of medical services’ and
manufacturer’s data systems
–  Messaging structures
–  Product and event dictionaries
Safety-Related Information Systems
Expedited Adverse Event Case Reports
CHALLENGES

l 

Increased operational complexity
–  Comprehensive ADR capture
–  Increased scope of ADR
–  Processing timelines

l 

Integration of medical services data
structures into case report systems
–  Electronic reports (ICH-E2B versus HL7 ICSR)
–  Event dictionaries (e.g., MedDRA, SNOMED
versus ICD-10, LOINC)
Safety-Related Information Systems
Signaling and Surveillance
SYSTEM ATTRIBUTES

l 
l 
l 
l 
l 

l 

Purpose: find safety issues that are unknown or
incompletely understood
Product specificity: both specific and non-specific
Information unit: exposed case series
Basic approach: exposed/control group
comparisons
Typical analyses: increased frequency
assessment, surveillance observed to expected,
case-control study, cohort study
Focus: risk, strength of association, risk factors
Safety-Related Information Systems
Signaling and Surveillance
ISSUES

l 

Signals from non-interventional
studies
–  Defining and retrieving NI studies
–  Large number of NI studies now published
every year

Rapid signal work-ups
l  Signal tracking
l  Signal escalation
l 
Safety-Related Information Systems
Signaling and Surveillance
CHALLENGES

l 

Finding, assessing, and triaging NI study
evidence
–  Retrieval definitions
–  Impact of results, data quality
–  Selection of studies as safety signals
–  Archiving of NI study results

Signal evaluation software
l  Inter-departmental linkage of signals
l  Signal escalation in outsourced environments
l 
Safety-Related Information Systems
Benefit-Risk Evaluations
SYSTEM ATTRIBUTES

l 
l 
l 
l 
l 
l 

Purpose: evaluate known benefits and risks
of a healthcare product versus a standard
Product specificity: mostly product specific
Information unit: endpoint comparisons
(efficacy, effectiveness, and risk)
Basic approach: weighted comparison of
aggregate benefits versus aggregate risks
Typical analyses: Variants of multiple
criteria decision analysis (MCDA)
Focus: benefit:risk balance
Safety-Related Information Systems
Benefit-Risk Evaluations
ISSUES

Integration of BRE processes into existing
operations
l  Design of BRE “calculator”
l 

–  Formal MCDA modeling versus rule-based
–  Defining axes and units (scalar, categorical)

Determining risk management responses
l  Trend toward products with complex
manufacturing requirements
l 
Safety-Related Information Systems
Benefit-Risk Evaluations
CHALLENGES

Personnel/teams with wide range of
analytical skills
l  Process redesign
l  New kinds of modeling and technology
l  Information acquisition, transfer, and
visualization
l 
Safety-Related Information Systems
Risk Management
SYSTEM ATTRIBUTES

l 
l 
l 
l 
l 
l 

Purposes: maximize benefits, minimize risks
Product specificity: entirely product specific
Information unit: time dependent
measurements of key processes/outcomes
Basic approach: key variable trend analyses
Typical analyses: rate trending, surveys,
audits
Focus: optimization of benefit:risk in target
and non-target populations
Safety-Related Information Systems
Risk Management
ISSUES

Assuring data integrity
l  Measuring program effectiveness
l 

–  Target population specificity (includes off
label use)
–  Ongoing, rather than intermittent

Focus on medication errors and
product monitoring
l  Increasingly complex tool kit
l  Implementation in multiple territories
l 
Safety-Related Information Systems
Risk Management
CHALLENGES

Teams with broad range of skills
l  Assessing non-routine information
l  Measuring effectiveness:
l 

–  Outcome (versus process) variables
–  Medical services activities
l 

Integration of data arising from:
–  Real time timelines
–  Point of use in services organizations
–  Multiple countries
John Clark, MD, MSPH
PCSglobal
740 Bethlehem Pike
Flourtown, PA 19034
(215) 510-4737
jclark503@comcast.net
john.clark@pcsglobal.org

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The New European PV Legislation: Issues and Challenges

  • 1. The New European PV Legislation: Issues and Challenges John A. Clark, MD, MSPH President and Chief Medical Officer PCSglobal Regulatory Affairs Professional Society 2013 Annual Meeting September 30, 2013
  • 2. Medical Product Safety Safety-Related Information Systems PRIMARY PHARMACOVIGILANCE SYSTEMS l  l  l  l  Expedited adverse event case reports Signaling and surveillance Benefit-risk evaluations Risk management
  • 3. Safety-Related Information Systems Issues and Challenges Posed by EU Regulations What are the major issues? What are the biggest challenges?
  • 4. Safety-Related Information Systems Expedited Adverse Event Case Reports SYSTEM ATTRIBUTES l  l  l  l  l  l  Purpose: identify ADRs with emphasis on unexpected, serious Product specificity: non-specific Information unit: single patient adverse experience(s) Basic approach: medical interpretation of cases Typical analyses: individual case causality analysis, review of line listings Focus: risk
  • 5. Safety-Related Information Systems Expedited Adverse Event Case Reports ISSUES l  Enlargement of ADR definitions –  Global safety experiences –  All conditions of use –  All reporting environments –  All reporters l  Integration of medical services’ and manufacturer’s data systems –  Messaging structures –  Product and event dictionaries
  • 6. Safety-Related Information Systems Expedited Adverse Event Case Reports CHALLENGES l  Increased operational complexity –  Comprehensive ADR capture –  Increased scope of ADR –  Processing timelines l  Integration of medical services data structures into case report systems –  Electronic reports (ICH-E2B versus HL7 ICSR) –  Event dictionaries (e.g., MedDRA, SNOMED versus ICD-10, LOINC)
  • 7. Safety-Related Information Systems Signaling and Surveillance SYSTEM ATTRIBUTES l  l  l  l  l  l  Purpose: find safety issues that are unknown or incompletely understood Product specificity: both specific and non-specific Information unit: exposed case series Basic approach: exposed/control group comparisons Typical analyses: increased frequency assessment, surveillance observed to expected, case-control study, cohort study Focus: risk, strength of association, risk factors
  • 8. Safety-Related Information Systems Signaling and Surveillance ISSUES l  Signals from non-interventional studies –  Defining and retrieving NI studies –  Large number of NI studies now published every year Rapid signal work-ups l  Signal tracking l  Signal escalation l 
  • 9. Safety-Related Information Systems Signaling and Surveillance CHALLENGES l  Finding, assessing, and triaging NI study evidence –  Retrieval definitions –  Impact of results, data quality –  Selection of studies as safety signals –  Archiving of NI study results Signal evaluation software l  Inter-departmental linkage of signals l  Signal escalation in outsourced environments l 
  • 10. Safety-Related Information Systems Benefit-Risk Evaluations SYSTEM ATTRIBUTES l  l  l  l  l  l  Purpose: evaluate known benefits and risks of a healthcare product versus a standard Product specificity: mostly product specific Information unit: endpoint comparisons (efficacy, effectiveness, and risk) Basic approach: weighted comparison of aggregate benefits versus aggregate risks Typical analyses: Variants of multiple criteria decision analysis (MCDA) Focus: benefit:risk balance
  • 11. Safety-Related Information Systems Benefit-Risk Evaluations ISSUES Integration of BRE processes into existing operations l  Design of BRE “calculator” l  –  Formal MCDA modeling versus rule-based –  Defining axes and units (scalar, categorical) Determining risk management responses l  Trend toward products with complex manufacturing requirements l 
  • 12. Safety-Related Information Systems Benefit-Risk Evaluations CHALLENGES Personnel/teams with wide range of analytical skills l  Process redesign l  New kinds of modeling and technology l  Information acquisition, transfer, and visualization l 
  • 13. Safety-Related Information Systems Risk Management SYSTEM ATTRIBUTES l  l  l  l  l  l  Purposes: maximize benefits, minimize risks Product specificity: entirely product specific Information unit: time dependent measurements of key processes/outcomes Basic approach: key variable trend analyses Typical analyses: rate trending, surveys, audits Focus: optimization of benefit:risk in target and non-target populations
  • 14. Safety-Related Information Systems Risk Management ISSUES Assuring data integrity l  Measuring program effectiveness l  –  Target population specificity (includes off label use) –  Ongoing, rather than intermittent Focus on medication errors and product monitoring l  Increasingly complex tool kit l  Implementation in multiple territories l 
  • 15. Safety-Related Information Systems Risk Management CHALLENGES Teams with broad range of skills l  Assessing non-routine information l  Measuring effectiveness: l  –  Outcome (versus process) variables –  Medical services activities l  Integration of data arising from: –  Real time timelines –  Point of use in services organizations –  Multiple countries
  • 16. John Clark, MD, MSPH PCSglobal 740 Bethlehem Pike Flourtown, PA 19034 (215) 510-4737 jclark503@comcast.net john.clark@pcsglobal.org