Upload
doanminh
View
222
Download
5
Embed Size (px)
Citation preview
The World of
FDA Quality Metrics
Yesterday, Today and Tomorrow
2
CDRH: Resource Concerns
FDA can only inspect a portion of firms
5
9566
Inspected
Not inspected
Percent of firms inspectedDomestic; Annual
Percent of firms inspectedForeign; Annual
91 Warning Letters were issued in the 2011 fiscal year –3% of total investigations1 resulted in a Warning Letter
Presented by Steve Silverman at 2012 FDA/Xavier MedCon Conference. 3
CDER: Historical Focus of Staff
FDA Staffing vs. Patient Exposures
0
2000000
4000000
6000000
8000000
10000000
12000000
14000000
16000000
18000000
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
Year Post IND Submission
Pa
tien
tE
xp
osu
res
0
2
4
6
8
10
12
14
FD
AS
taff
ing
Patients Exposed
FDA Staff
PRE-MARKET FOCUS
Presented by Russ Wesdyk at 2014 FDA/Xavier PharmaLink Conference. 4
End Result
Use metrics to risk rank
companies so FDA has data
to support where it is
focusing its resources.
And where FDA shouldfocus its resources
5
6
FDA Safety and Innovation Act“FDASIA”
Main Driver:
Passed into Law
July 9, 2012
7
FDA Authority Differences
Drugs– FDASIA officially allows FDA to use risk based decisions to determine how best
to use limited resources for drug inspections (Sec. 705)
– FDASIA allows FDA to request records in advance of or in lieu of an inspection(Sec. 706)
– FDA is not expressly given authority to use 3rd parties to assist with druginspection coverage
Devices– FDASIA does not officially allow FDA to use risk based decisions to determine
how best to use limited resources for device inspections
– FDASIA does not allow FDA to request records in advance of or in lieu of aninspection
– FDA already had authority to use 3rd parties to assist with device inspectioncoverage
CDER Call for Metrics
CDRH Case for Quality
8
9
• FDA does not have the authority to ask for “metrics” since thereis no regulatory requirement for industry to track metrics.
• FDA can ask for “data” since industry is required to monitor the safety andeffectiveness of its products
• FDA would have to convert all the data received into metrics
CDER: Call for Metrics
• CDER first determined how to address their resource constraints = throughmetrics
• CDER then asked for industry input on what to measure
– Industry associations and some companies provided CDER with metrics ideas
– Xavier expressed concern about the call for metrics approach, and launched aninitiative with 32 industry professionals to identify metrics for industry use.
– CDER spent 2 years in public meetings to gather industry input
– CDER took all the ideas into consideration, then published a draft guidance July 28,2015 with the “data” it is proposing to collect
10
CDRH: Case for Quality
• Steve Silverman (former Director, CDRH Office of Compliance)launched the Case for Quality in 2011
– CDRH wanted to shift the mentality of FDA and industry from compliance toquality, and therefore, defined what
– CDRH then turned to industry to explore how
– This is opposite of the CDER approach
• CDRH led National Case for Quality forums to gather ideas on how tocollaboratively focus on quality (including the 2013 Xavier NationalForum)
• Silverman asked Xavier to partner with FDA to explore ways to“measure” quality risk
11
Focus on shifting the Right First Time mentality as close to the initialdays of development as possible
ORA Perspective
12
Collaborative Effort
(multiple relevantsources of info)
Presented by Ellen Morrison at FDA/Xavier PharmaLink Conference, March 2016.
ORA Perspective
13Presented by Ellen Morrison at FDA/Xavier PharmaLink Conference, March 2016.
14
Metrics Teams: Side-by-Side
Device
• Co-Leader: Kristin McNamara,FDA Senior Advisor
• Number of Team Members: 46– FDA Members: 7
• Number of Companies: 25
• Timeframe:– September 2014 – August 2016
Pharma
• Co-Leader: Sam Venugopal,Partner PwC
• Number of Team Members: 32– FDA Members: 0
• Number of Companies: 23
• Timeframe:– August 2014 – January 2016
15
Goal: Identify MeaningfulMetrics for Industry
To provide a system of metrics across the TotalProduct Lifecycle that:
1. Informs internal company decisions and triggers action
2. Shifts the Right-First-Time mentality closer to the initialdays of development
Xavier Pharma and Device Metrics
16
Total Product Lifecycle View
Pre-Production ProductionTransfer
ProductionContinual Improvement
& Risk Mgmt.
Enterprise-WideContinual Improvement
R&DContinual Improvement
& Risk Mgmt.
Post-Production
Metrics Comparison Summary
TPLC PhasesFDA/Xavier
Device MetricsXavier/PwC
Pharma MetricsCDER
Draft Metrics
Pre-Production
Design Robustness
Design Space
Supply Chain Assurance
TechnologyTransfer
RFT of Analytical Transfer
RFT of Process Validation
Production RFT for Production
RFT for ProductionLot Acceptance Rate
CAPA Effectiveness Rate
Commitment IndexInvalidated OOS Rate
Supplier Risk Index
Post-Production Post-Market Index Market Reliability Index Complaint Rate
Enterprise-wide Management ReviewQbD Effectiveness
(APR on Time Rate)Root Cause of RFT 18
To Inform Decisions and Trigger Action
Step 1. Severity Classifications
Severity
Classification
Severity
Weighted
Value
Severity Definition
Catastrophic50
Potential for Death
Critical30
Potential for Serious Injury
Marginal19
Potential for Non-Serious Injury
Negligible
1
Minor Customer Annoyance, Cosmetic Issue, No
injury to patient
Risk Analysis of Complaints
Step 2. Risk of Each Complaint
1st Quarter Product A Risk Profile Score:
1000 Complaints for period1 Critical Complaint/1000 Complaints X 30 X 100 = 33 Marginal Complaints/1000 Complaints X 19 X 100 = 5.7996 Minor Complaints/1000 Complaints X 1 X 100 = 99.6Total Risk Profile Score = 108.3
2nd Quarter: Product A Risk Profile Score:
1000 Complaints for period2 Critical Complaints/1000 Complaints X 30 X 100= 64 Marginal Complaints/1000 Complaints X 19 X 100 = 7.6995 Minor Complaints/1000 Complaints X 1 X 100 = 99.5Total Risk Profile Score = 113.1
Step 3. Rate of Occurrence
QuarterNumber of
Complaints
Number of
units
released
Complaint
Rate TotalMultiplier
Reported
rate
1st 1,000 10,000 0.1 1,000 100
2nd 1,000 15,000 0.067 1,000 67
3rd 500 18,000 0.028 1,000 28
4th 2,500 10,000 0.25 1,000 250
Step 4. Side-by-Side Comparison
1st Quarter
Product A
2nd Quarter
Product A
3rd Quarter
Product A
4th Quarter
Product A
Complaint Rate 100 67 28 250
Complaint Risk
Profile Score108.3 113.1 134 136
Heat Map Correlation
Y-axis =InternalRisk Score
X-axis =ExternalRisk Score
Each Point =Total Risk to Product Quality
“Internal” includespre-production andproduction metrictotal risk score
“External” includes thetotal post-productionrisk score ofappropriate indicators 25
Enterprise-Wide Assessment
Pre-Production ProductionTransfer
ProductionContinual Improvement
& Risk Mgmt.
Enterprise-WideContinual Improvement
R&DContinual Improvement
& Risk Mgmt.
Post-Production
Spider Chart
28
Reminder: Metrics Comparison
TPLC PhasesFDA/Xavier
Device MetricsXavier/PwC
Pharma MetricsCDER
Draft Metrics
Pre-Production
Design Robustness
Design Space
Supply Chain Assurance
TechnologyTransfer
RFT of Analytical Transfer
RFT of Process Validation
Production RFT for Production
RFT for ProductionLot Acceptance Rate
CAPA Effectiveness Rate
Commitment IndexInvalidated OOS Rate
Supplier Risk Index
Post-Production Post-Market Index Market Reliability Index Complaint Rate
Enterprise-wide Management ReviewQbD Effectiveness
(APR on Time Rate)Root Cause of RFT 29
CDER: Call for Metrics
Date Description
2012 FDASIA Passed
2013 CDER Quality Metrics Initiative launched
2013 – 2015 Call for metrics from industry• ISPE, PDA, GPhA, PhRMA, BIO, etc. provided CDER with metrics
ideas• Xavier/PwC initiative focused on metrics for industry use
2015 (July 28) Draft Guidance: Request for Quality Metrics• FDA’s response to comments have not been shared publically
2016 (June 27) Draft Guidance: Quality Metrics Technical Conformance Guide• Provides guidance on how industry would be expected to
provide data to FDA
2016 (Nov. 25) Revision 1 of the July 2015 Draft Guidance. Now entitled:“Submission of Quality Metrics Data”• Reduces number of metrics, and makes the program voluntary
30
Additional CDER Timeline
The November 2016 Draft Guidance “Submission of QualityMetrics Data” provides the following information:
• 2017:– Voluntary Program
– Anticipate that the electronic submission platform will be available to test in2017
• 2018:– “after evaluation of the results, the FDA intends to initiate notice and
comment rulemaking under existing statutory authority to develop amandatory quality metrics reporting program.”
31
CDER November Draft Guidance
Beyond the Voluntary Program, CDER intends to use the metrics inthe following way:
• Establish a signal detection program as one factor in identifyingestablishments and products that may pose significant risk toconsumers
• Identify situations in which there may be a risk for drug supplydisruption
• Improve the effectiveness of establishment inspections
• Improve FDA’s evaluation of drug manufacturing and controloperations.
32
CDRH: Case for Quality
Date Description
2011 The Case for Quality was launched by Steve Silverman (formerDirector, CDRH Office of Compliance)
2011 - 2013 CDRH led national forums to gain industry input
2012 FDASIA Passed
2014 - 2016 Xavier University partnered with FDA to lead a team of 46 FDAofficials and industry members to identify key metrics, and pilotthose metrics, for industry to assess its own risk to product quality
2015 - 2016 The FDA/Xavier Initiative was adopted by the Medical DeviceInnovation Consortium (MDIC), and is the basis for FDA priorities.
2017 FDA to determine how to incorporate product metrics, culture andquality system metrics into risk decisions. HOWEVER – CDRH is stillfocused on Industry ownership of quality. 33
CDRH 2016-2017 Strategic Priorities
Promote a Culture of Quality andOrganizational Excellence
• By September 30, 2016, develop metrics, successful industry practices,standards, and tools that manufacturers can use to evaluate product andmanufacturing quality beyond compliance with regulatory requirements.
• By December 31, 2016, pilot voluntary use of product and manufacturingquality metrics and evaluation tools.
• By December 31, 2017, propose a voluntary program to recognizeindependent evaluation of product and manufacturing quality.
Goal: Strengthen Product and Manufacturing QualityWithin the Medical Device Ecosystem
34
What Does This Mean?
FDA Regulatory Paradigm Shift
What does a focus on quality and organizational excellence mean for FDA andinnovation?
• Increased manufacturing and product confidence• Faster time to markets, better information to drive regulatory decisions,
improved resource allocation• A focus on what is most important to patients
Remove participants from the agency work plan for routine inspections
Waive pre-approval inspections where appropriate
Engagement and meetings on issue resolution
Modifying submission requirements and faster FDA response
Accelerated approval path
Competitive market around product excellence
36
Impact of Metrics Use
FDA should not use metrics out of context
– Leads to unsubstantiated conclusions
– Drives unintended consequences
37
Therefore
Assess metrics on inspection However
This does not alleviate resource constraints
Focus on Mutual Reliance and MDSAP
So then
Metrics are a Piece of the Puzzle
38Presented by Ellen Morrison at FDA/Xavier PharmaLink Conference, March 2016.
Xavier Asked: What does industry want?
No inspections from FDA?– Not really. Industry wants the touch point with FDA to verify
alignment with expectations.
– More time that passes could result in significant findings if thecompany was not completely aligned
So then what does industry want?1. Inspections of competitors to level the playing field
2. Combined inspections of multiple regulatory authorities -mutual reliance (pharma) and MDSAP (device)• Just a warning that these inspections carry more weight!
3. Faster approval of submissions for demonstrating low risk andhigh control
Reactions and Ideas?
40
Marla PhillipsDirector, Xavier HealthXavier [email protected]
www.XavierHealth.org