Innovation; issues for regulators, society and industry. Overview of Conference topics
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Transcript of Innovation; issues for regulators, society and industry. Overview of Conference topics
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Safeguarding public health
Innovation; issues for regulators, society and industry.Overview of Conference topics
Alasdair BreckenridgeMedicines and Healthcare products Regulatory AgencyLondon 23 September 2008
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“It is a frustrating aspect of benefit-risk evaluation that there is no defined and tested algorithm or summary metric that combines benefit and risk data that might permit straightforward quantitative comparisons of different treatment options, which in turn might aid decision making”
CIOMS, 1998.
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Current perceptions
• Approval thresholds heightening
• Increased focus on safety
• Regulators dislike uncertainty
• Increasing cost of drug development
• Demand for increased transparency
• Negative perceptions of pharmaceutical industry and regulators
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• What information do regulators and industry need to enable them to undertake benefit : risk assessments?
• Are available frameworks adequate?
• How can we best communicate benefit : risk to the general public?
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Benefits of an agreed framework
• Shared understanding of issues between industry and regulator.
• Consistency in expressing benefit and risk.
• Transparency of regulatory decisions
• Tool to compare products
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Methods of assessing benefit• Nature of disease-incidence
natural historyimpact of treatmentconsequences of no intervention
• Purpose of treatment-prevention prevention of recurrence
symptomatic treatment cure
• Assessment of benefit-morbidity mortality symptoms quality of life
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Methods of assessing risk
• Development or post marketing
• ADRs affecting different systems
• Seriousness of ADRs
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Under-reporting
• Reporting bias
• Quality of reports
• Cannot estimate frequency of events
Spontaneous reports of ADRs
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Kno
wle
dge
Time
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Kno
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Time
Timing of market authorisation
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Kno
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Time
Earlier to market?
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Post-licensing assessment
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“A systematic approach to population based drug safety surveillance which seeks to ascertain the number of adverse events by means of a continuous pre-organised process.”
Active Surveillance
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Record of drug exposure
• Record of outcomes
• Access to detailed information about individual cases
Data requirements for active surveillance
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Computerised databases of users and non users
• Medical records
Sources of information for active surveillance
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British Society of Rheumatology Biological Register(1)
• For patients with severe RA prescribed anti TNF α medicines.
• To receive drug, patient must be entered on central register.
• Short and long term ADRs documented.
• Cohort of similar patients prescribed conventional DMARDs
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British Society for Rheumatology Biological Register(2)
• Rheumatologists contacted 6 monthly about specific patients
•Data on severe infections and hospital admissions obtained
•Patient diaries
•Patients flagged with ONS to ascertain new cases of cancer and deaths
•Over 20000 patients on register
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GPRD: population figures
Contains 6.1 million acceptable patients from 464 active practicesCurrently collecting data on 3.58 million active patients from 405 up to standard practices
>45% of patients have 5 or more years of follow-up, >60% have at least 3 yearsContains over 40 million patient-years dataGeographically representative
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Safeguarding public health
RISK
major
minor
The worst balance
For restric
ted use only
Balance may require further study
Acceptable balance
Excellent balance
minor major BENEFIT
The Benefit-Risk Spectrum
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Principle of three
• Seriousness, duration, incidenceas applied to adverse reactions
• Seriousness, chronicity, extent of control or cureas applied to benefit
Describe verbally or numerically
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Aspirin
Disease Effectiveness of the drug
Dominant reaction
Seriousness 1 3 3
Duration 1 3 2
Incidence 3 0 2
TOTAL 5 6 7
3 = high, 2 = medium, 1 = low, 0 = no effect
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Shortcomings of models
• Do not enhance objectivity of benefit-risk decision making
• Time consuming
• Conflict between stakeholders in assessment
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Benefit-risk : outstanding issues
• Need for lexicon of terminology
• Framework for benefit: risk assessment in which different models might be used
• Different models for different situations
• Agreed framework would improve underlying science of innovation
• Importance of taking patient preferences into account
• Learning from other disciplines, including HTA
• Communication difficult but crucial