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pi | contact@3-14.com | www.3-14.com
Quality Metrics Program
Practicalities of the program
2 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Quality Metrics Program
FDA initiative aiming to pro-actively monitor quality
in biopharmaceutical companies to:
• Move towards risk-based inspections
• Help predict possible drug shortages
• Encourage the industry to further optimise
its quality management systems for
pharmaceutical engineering
3 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Quality metrics are already avidly used in the life sciences industry:
• To continuously monitor quality systems & processes (cGMP)
• To provide information on where improvements can be made
• As an element of the annual product review
• As a part of internal audits
• To evaluate supplier qualifications
Current use of quality metrics
4 | pi © 2017 pi | contact@3-14.com | www.3-14.com
The Quality Metrics Program was designed to bring the current life sciences
industry closer to the FDA’s 21st century vision on pharmaceutical engineering:
“a maximally efficient, agile, flexible pharmaceutical manufacturing sector that
reliably produces high quality drug products without extensive regulatory oversight”
Other projects driving this vision:
• Quality by Design
• Q9 Quality Risk Management
• Process Validation Guidance
• Process analytical technology (PAT)
General context
5 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Food and Drug Administration Safety and Innovation Act (FDASIA):
• Section 704 - FDA can search databases by any field of information provided for
submission
• Section 705 - Evolution towards a risk-based inspection instead of the bi-annual
inspection
• Section 706 - Records and additional information (Quality Metrics) have to be
provided in advance or in lieu of an inspection
Legal framework
6 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Timeline
December 2013
ISPE paper on
quality metrics
June 2015
Pilot project
report Wave 1
June 2015
Launch Wave 2
ISPE pilot
program
July 2015
FDA Draft
Guidance for
Industry
June 2016
Pilot project
report Wave 2
November 2016
Revised FDA
Draft Guidance
for Industry
Early 2018
Phased-in stage
 Voluntary submission
of quality metrics via
electronic portal
2018 - …
FDA analysis of received
data
to further improve QMP
June 2014
Launch Wave 1
ISPE pilot
program
pi | contact@3-14.com | www.3-14.com
Practicalities of the program
8 | pi © 2017 pi | contact@3-14.com | www.3-14.com
• Covered drug products
• Covered establishments
• Reports
• Quality metrics
• Additional elements to report
Practicalities overview
9 | pi © 2017 pi | contact@3-14.com | www.3-14.com
• Application products:
• Investigational New Drug (IND)
• New Drug Application (NDA)
• Abbreviated New Drug Application (ANDA)
• Biologic License Application (BLA)
• Products marketed pursuant to an Over-The-Counter (OTC) monograph
• Unapproved marketed products
(non-application products)
Covered drug products
10 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Every establishment engaged in the manufacturing, preparation, propagation,
compounding or processing of a covered drug product or API applied in the
manufacturing of a covered drug product
 includes: contract laboratories, packages, sterilizers…
Covered establishments
11 | pi © 2017 pi | contact@3-14.com | www.3-14.com
• Site report
• Report on a single establishment
• Information on all products
• Product report
• Report on a single covered drug product/API
• Information from all sites
• Preferred by FDA
• Improved understanding of processes
• Facilitate identification product-specific issues
• Difficult due to complex supply chains
Reports are to be submitted annually (segmented in quarters)
Reports
12 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Quality Metrics
Lot acceptance rate
measure the
manufacturing process
performance
Patient complaint rate
focussing on patient and
customer feedback
Invalidated out-of-
specification rate
focussed on the robustness
of the laboratory operation
pi | contact@3-14.com | www.3-14.com13 | pi © 2017
Additional reporting elements
• Product name
• Rx/OTC
• OTC monograph
• Product type
• Applicant name
• Application type
• Application number
• NDC product code number(s)
• Reporting time period
• Quarter
• Dose form
• Active ingredient
• FEI/DUN
• Supply chain / process stage code
pi | contact@3-14.com | www.3-14.com
Quality Metrics
15 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Lot acceptance rate
= # accepted lots
# started lots
in current reporting timeframe
in same establishment
16 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Data to report
• Saleable lots started
• Saleable lots accepted
• Saleable lots rejected
• In-process/packaging lots started
• In-process/packaging lots accepted
• In-process/packaging lots rejected
Lot acceptance rate
17 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Accepted lot = lot released for further processing/distribution
• Count lot on day final disposition decision
• Unexpected low yield + investigation supports release
• Count as accepted lot
• Lot n° closed, transferred to new lot n° and new lot n° is released
• Count original lot n°
• Accepted lot no longer considered accepted (f.i. stability issue)
• Do not count
Lot acceptance rate
18 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Started lot = lot intended for commercial use for which
• Manufacturer issued lot n°
• Manufacturer physically charged API/primary starting material
• There will be a disposition decision
• When manufacturing spans multiple time segments (quarters):
• Count when lot n° is issued OR API/primary starting material is physically
charged
• Unique lot n° for ≠ packaging configurations
• Count each lot
• Count all lots that would be included in the annual product review
• Also lots for post marketing clinical trials etc.
Lot acceptance rate
19 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Saleable lot
• Filled vials, bulk tablets, bulk API
• Bulk milled in-process material/intermediate API
when manufacturing occurs at different covered establishment
Lot acceptance rate
20 | pi © 2017 pi | contact@3-14.com | www.3-14.com
• Each subdivision or grouping = a separate lot
• Packaging: stand alone lot or included in existing lot
• Lots started – (lots released + lots rejected) = lots pending disposition
Lot acceptance rate
21 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 1
Lot acceptance rate
In-process lots Saleable lots Packaging lot
22 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 1
Lot acceptance rate
In-process lots Saleable lots Packaging lot
Started 12 2 1
Accepted 12 2 1
Rejected 0 0 0
23 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 1
Lot acceptance rate
In-process lots Saleable lots Packaging lot
Started 12 2 1
Accepted 10 2 1
Rejected 2 0 0
24 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 1: Data to report
• Saleable lots started 2
• Saleable lots accepted 2
• Saleable lots rejected 0
• In-process/packaging lots started 13
• In-process/packaging lots accepted 11
• In-process/packaging lots rejected 2
Lot acceptance rate
25 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 2
Lot acceptance rate
Saleable lots Packaging lot
26 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 2
Lot acceptance rate
Saleable lots Packaging lot
Started 1 5
Accepted 1 4
Rejected 0 1
27 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 2: Data to report
• Saleable lots started 1
• Saleable lots accepted 1
• Saleable lots rejected 0
• In-process/packaging lots started 5
• In-process/packaging lots accepted 4
• In-process/packaging lots rejected 1
Lot acceptance rate
28 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 3: primary & secondary packaging
Lot acceptance rate
In-process Primary packaging Secondary packaging
29 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 3: primary & secondary packaging
Establishment A
Establishment B
Establishment C
Establishment D
In-process Primary packaging Secondary packaging
Lot acceptance rate
30 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 3: primary & secondary packaging
Lot acceptance rate
Establishment A
Establishment B
Establishment C
Establishment D
Saleable lot
31 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 4: manufacturing by A, packaging by B
B discovers defect due to manufacturing by A
• A must count lot as rejected
 B did not yet initiate packaging
• B does not count lot
 B initiated packaging
• B counts lot as rejected
Lot acceptance rate
32 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 5
Start manufacturing in final quarter
Halt manufacturing in first quarter
 Use comment section to describe partial year
Lot acceptance rate
33 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Patient complaint rate
=
# product quality complaints
Total # dosage units distributed
in current reporting timeframe
34 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Product quality complaint
A complaint involving any possible, including actual, failure of a drug to meet any of its
specifications (identity, strength, quality and purity)
Dosage units
Total # individual dosage units distributed or shipped under the approved application or
product family to costumers, including distributers
Patient complaint rate
35 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Data to report
• Number of product quality complaints
• Total number of dosage units distributed
Patient complaint rate
36 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Patient complaint rate
1 lot
customer
customer
customer
customer
customer
complaint
complaint
complaint
complaint
complaint
 Count 5 complaints
Example 1
37 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 2
Patient complaint rate
1 lot
department
department
department
department
department
complaint
complaint
complaint
complaint
complaint
 Count 1 complaint
customer
38 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 3
Patient complaint rate
1 lot
customer Japan
customer EU
customer US
complaint
 Can choose to count complaint or not
 FDA prefers that complaint is counted
 Certainly when product is imported to US
39 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 4: site report by packager
• When complaint potentially due to packager’s operation
 Complaint reported by site reporting establishment
Patient complaint rate
40 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 5: OTC products
• “The product is grape flavoured but I prefer cherry”
 Do not count
• “The grape flavour does not taste right”
 Count
Do not count complaints regarding preference
 Only count complaints regarding identity, strength, quality and purity
Patient complaint rate
41 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Invalidated out-of-specification (OOS)
rate
= # invalidated OOS test results
total # test results
for test on long term stability and lot release tests
in current reporting timeframe
42 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Data to report
• Sum all release and stability tests
• Sum release and stability test OOS results
• Sum invalidated release and stability test OOS results
Invalidated out-of-specification (OOS)
rate
43 | pi © 2017 pi | contact@3-14.com | www.3-14.com
OOS result
All test results outside of specifications/acceptance criteria for
• Lot release tests
• Long-term stability tests
Invalidated OOS result
OOS due to aberration of measurement procedure
 Observation & documentation of a test event that can reasonably be
determined to have caused the OOS result
Invalidated out-of-specification (OOS)
rate
44 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Lot release test
All tests evaluating conformance to final specifications
• Real-time release tests
• In-process tests that are surrogates for final release tests
Long-term stability tests
Only real-time stability tests
 No accelerated stability tests
Invalidated out-of-specification (OOS)
rate
45 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Count OOS on:
• The day the result is completed
• The day the OOS investigation is initiated
 Prior to result of investigation!
• 1 result for 1 test
• Establishment that manufactures API  No stability OOS results
• Multiple long-term stability tests  Count all
Invalidated out-of-specification (OOS)
rate
46 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 1
Release tests
Invalidated out-of-specification (OOS)
rate
Impurities OOS
Content uniformity pass
Dissolution pass
Sum release & long-term stability tests: 3
Sum OOS results release & long-term stability tests: 1
47 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 1
Long-term stability tests
Invalidated out-of-specification (OOS)
rate
3m 6m
Appearance pass pass
Degradation products IOOS OOS
Sum release & long-term stability tests: 4
Sum OOS results release & long-term stability tests:
2
Sum IOOS results release & long-term stability
tests: 1
48 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 2
Invalidated out-of-specification (OOS)
rate
Raw material Processing FDF
2 raw material
OOS results
3 in-process
OOS results
10 lot release tests
1 OOS results
49 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Invalidated out-of-specification (OOS)
rate
Raw material Processing FDF
2 raw material
OOS results
3 in-process
OOS results
10 lot release tests
1 OOS results
Sum release & long-term stability tests: 10
Sum OOS results release & long-term stability tests: 1
Example 2
50 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 3
Invalidated out-of-specification (OOS)
rate
Raw material Processing FDF
2 raw material
OOS results
3 in-process OOS results
1 OOS for real-time release test
10 lot release tests
1 OOS results
51 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 3
Invalidated out-of-specification (OOS)
rate
Raw material Processing FDF
2 raw material
OOS results
3 in-process OOS results
1 OOS for real-time release test
10 lot release tests
1 OOS results
Sum release & long-term stability tests: 11
Sum OOS results release & long-term stability tests: 2
52 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Example 4
Invalidated out-of-specification (OOS)
rate
50 kg
API
10 kg
10 kg
10 kg
10 kg
10 kg
OOS
pass
OOS
 Count as 1 OOS
pass Average on
Certificate of
Analysis
53 | pi © 2017 pi | contact@3-14.com | www.3-14.com
• Submission of Quality Metrics Data: Revised Draft Guidance for Industry (November
2016)
• Federal Register Notice of Availability (November 2016)
• Quality Metrics, Technical Conformance Guide (Version 1.0, June 2016)
• CDER Small Business and Industry Assistance article: FDA’s Quality Metrics reporting
program: Submission of Quality Metrics Data (November 2016)
• ISPE Quality Metrics Initiative, A Report from the Pilot Project (June 2015) (Wave 1
Report)
• ISPE Quality Metrics Initiative, Quality Metrics Pilot Program (June 2016) (Wave 2 Report)
Sources
54 | pi © 2017 pi | contact@3-14.com | www.3-14.com
Our value proposition
pi is the strategic partner of choice to some of the world’s leading life science companies.
We offer our clients unique expertise and strategic consultancy of the highest quality.
We dedicate ourselves to bringing excellence to the life sciences industry.
We’ve grown by learning how to be better.
Better resourced to focus our faculty of consultants’ singular experience and knowledge.
Better managed to share their depth of understanding.
Better prepared to challenge orthodox thinking.
And better able to redefine accepted best practice.
To accept no other standard than excellence.
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FDA QMP - Practicalities of the program

  • 1. pi | contact@3-14.com | www.3-14.com Quality Metrics Program Practicalities of the program
  • 2. 2 | pi © 2017 pi | contact@3-14.com | www.3-14.com Quality Metrics Program FDA initiative aiming to pro-actively monitor quality in biopharmaceutical companies to: • Move towards risk-based inspections • Help predict possible drug shortages • Encourage the industry to further optimise its quality management systems for pharmaceutical engineering
  • 3. 3 | pi © 2017 pi | contact@3-14.com | www.3-14.com Quality metrics are already avidly used in the life sciences industry: • To continuously monitor quality systems & processes (cGMP) • To provide information on where improvements can be made • As an element of the annual product review • As a part of internal audits • To evaluate supplier qualifications Current use of quality metrics
  • 4. 4 | pi © 2017 pi | contact@3-14.com | www.3-14.com The Quality Metrics Program was designed to bring the current life sciences industry closer to the FDA’s 21st century vision on pharmaceutical engineering: “a maximally efficient, agile, flexible pharmaceutical manufacturing sector that reliably produces high quality drug products without extensive regulatory oversight” Other projects driving this vision: • Quality by Design • Q9 Quality Risk Management • Process Validation Guidance • Process analytical technology (PAT) General context
  • 5. 5 | pi © 2017 pi | contact@3-14.com | www.3-14.com Food and Drug Administration Safety and Innovation Act (FDASIA): • Section 704 - FDA can search databases by any field of information provided for submission • Section 705 - Evolution towards a risk-based inspection instead of the bi-annual inspection • Section 706 - Records and additional information (Quality Metrics) have to be provided in advance or in lieu of an inspection Legal framework
  • 6. 6 | pi © 2017 pi | contact@3-14.com | www.3-14.com Timeline December 2013 ISPE paper on quality metrics June 2015 Pilot project report Wave 1 June 2015 Launch Wave 2 ISPE pilot program July 2015 FDA Draft Guidance for Industry June 2016 Pilot project report Wave 2 November 2016 Revised FDA Draft Guidance for Industry Early 2018 Phased-in stage  Voluntary submission of quality metrics via electronic portal 2018 - … FDA analysis of received data to further improve QMP June 2014 Launch Wave 1 ISPE pilot program
  • 7. pi | contact@3-14.com | www.3-14.com Practicalities of the program
  • 8. 8 | pi © 2017 pi | contact@3-14.com | www.3-14.com • Covered drug products • Covered establishments • Reports • Quality metrics • Additional elements to report Practicalities overview
  • 9. 9 | pi © 2017 pi | contact@3-14.com | www.3-14.com • Application products: • Investigational New Drug (IND) • New Drug Application (NDA) • Abbreviated New Drug Application (ANDA) • Biologic License Application (BLA) • Products marketed pursuant to an Over-The-Counter (OTC) monograph • Unapproved marketed products (non-application products) Covered drug products
  • 10. 10 | pi © 2017 pi | contact@3-14.com | www.3-14.com Every establishment engaged in the manufacturing, preparation, propagation, compounding or processing of a covered drug product or API applied in the manufacturing of a covered drug product  includes: contract laboratories, packages, sterilizers… Covered establishments
  • 11. 11 | pi © 2017 pi | contact@3-14.com | www.3-14.com • Site report • Report on a single establishment • Information on all products • Product report • Report on a single covered drug product/API • Information from all sites • Preferred by FDA • Improved understanding of processes • Facilitate identification product-specific issues • Difficult due to complex supply chains Reports are to be submitted annually (segmented in quarters) Reports
  • 12. 12 | pi © 2017 pi | contact@3-14.com | www.3-14.com Quality Metrics Lot acceptance rate measure the manufacturing process performance Patient complaint rate focussing on patient and customer feedback Invalidated out-of- specification rate focussed on the robustness of the laboratory operation
  • 13. pi | contact@3-14.com | www.3-14.com13 | pi © 2017 Additional reporting elements • Product name • Rx/OTC • OTC monograph • Product type • Applicant name • Application type • Application number • NDC product code number(s) • Reporting time period • Quarter • Dose form • Active ingredient • FEI/DUN • Supply chain / process stage code
  • 14. pi | contact@3-14.com | www.3-14.com Quality Metrics
  • 15. 15 | pi © 2017 pi | contact@3-14.com | www.3-14.com Lot acceptance rate = # accepted lots # started lots in current reporting timeframe in same establishment
  • 16. 16 | pi © 2017 pi | contact@3-14.com | www.3-14.com Data to report • Saleable lots started • Saleable lots accepted • Saleable lots rejected • In-process/packaging lots started • In-process/packaging lots accepted • In-process/packaging lots rejected Lot acceptance rate
  • 17. 17 | pi © 2017 pi | contact@3-14.com | www.3-14.com Accepted lot = lot released for further processing/distribution • Count lot on day final disposition decision • Unexpected low yield + investigation supports release • Count as accepted lot • Lot n° closed, transferred to new lot n° and new lot n° is released • Count original lot n° • Accepted lot no longer considered accepted (f.i. stability issue) • Do not count Lot acceptance rate
  • 18. 18 | pi © 2017 pi | contact@3-14.com | www.3-14.com Started lot = lot intended for commercial use for which • Manufacturer issued lot n° • Manufacturer physically charged API/primary starting material • There will be a disposition decision • When manufacturing spans multiple time segments (quarters): • Count when lot n° is issued OR API/primary starting material is physically charged • Unique lot n° for ≠ packaging configurations • Count each lot • Count all lots that would be included in the annual product review • Also lots for post marketing clinical trials etc. Lot acceptance rate
  • 19. 19 | pi © 2017 pi | contact@3-14.com | www.3-14.com Saleable lot • Filled vials, bulk tablets, bulk API • Bulk milled in-process material/intermediate API when manufacturing occurs at different covered establishment Lot acceptance rate
  • 20. 20 | pi © 2017 pi | contact@3-14.com | www.3-14.com • Each subdivision or grouping = a separate lot • Packaging: stand alone lot or included in existing lot • Lots started – (lots released + lots rejected) = lots pending disposition Lot acceptance rate
  • 21. 21 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 1 Lot acceptance rate In-process lots Saleable lots Packaging lot
  • 22. 22 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 1 Lot acceptance rate In-process lots Saleable lots Packaging lot Started 12 2 1 Accepted 12 2 1 Rejected 0 0 0
  • 23. 23 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 1 Lot acceptance rate In-process lots Saleable lots Packaging lot Started 12 2 1 Accepted 10 2 1 Rejected 2 0 0
  • 24. 24 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 1: Data to report • Saleable lots started 2 • Saleable lots accepted 2 • Saleable lots rejected 0 • In-process/packaging lots started 13 • In-process/packaging lots accepted 11 • In-process/packaging lots rejected 2 Lot acceptance rate
  • 25. 25 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 2 Lot acceptance rate Saleable lots Packaging lot
  • 26. 26 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 2 Lot acceptance rate Saleable lots Packaging lot Started 1 5 Accepted 1 4 Rejected 0 1
  • 27. 27 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 2: Data to report • Saleable lots started 1 • Saleable lots accepted 1 • Saleable lots rejected 0 • In-process/packaging lots started 5 • In-process/packaging lots accepted 4 • In-process/packaging lots rejected 1 Lot acceptance rate
  • 28. 28 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 3: primary & secondary packaging Lot acceptance rate In-process Primary packaging Secondary packaging
  • 29. 29 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 3: primary & secondary packaging Establishment A Establishment B Establishment C Establishment D In-process Primary packaging Secondary packaging Lot acceptance rate
  • 30. 30 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 3: primary & secondary packaging Lot acceptance rate Establishment A Establishment B Establishment C Establishment D Saleable lot
  • 31. 31 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 4: manufacturing by A, packaging by B B discovers defect due to manufacturing by A • A must count lot as rejected  B did not yet initiate packaging • B does not count lot  B initiated packaging • B counts lot as rejected Lot acceptance rate
  • 32. 32 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 5 Start manufacturing in final quarter Halt manufacturing in first quarter  Use comment section to describe partial year Lot acceptance rate
  • 33. 33 | pi © 2017 pi | contact@3-14.com | www.3-14.com Patient complaint rate = # product quality complaints Total # dosage units distributed in current reporting timeframe
  • 34. 34 | pi © 2017 pi | contact@3-14.com | www.3-14.com Product quality complaint A complaint involving any possible, including actual, failure of a drug to meet any of its specifications (identity, strength, quality and purity) Dosage units Total # individual dosage units distributed or shipped under the approved application or product family to costumers, including distributers Patient complaint rate
  • 35. 35 | pi © 2017 pi | contact@3-14.com | www.3-14.com Data to report • Number of product quality complaints • Total number of dosage units distributed Patient complaint rate
  • 36. 36 | pi © 2017 pi | contact@3-14.com | www.3-14.com Patient complaint rate 1 lot customer customer customer customer customer complaint complaint complaint complaint complaint  Count 5 complaints Example 1
  • 37. 37 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 2 Patient complaint rate 1 lot department department department department department complaint complaint complaint complaint complaint  Count 1 complaint customer
  • 38. 38 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 3 Patient complaint rate 1 lot customer Japan customer EU customer US complaint  Can choose to count complaint or not  FDA prefers that complaint is counted  Certainly when product is imported to US
  • 39. 39 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 4: site report by packager • When complaint potentially due to packager’s operation  Complaint reported by site reporting establishment Patient complaint rate
  • 40. 40 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 5: OTC products • “The product is grape flavoured but I prefer cherry”  Do not count • “The grape flavour does not taste right”  Count Do not count complaints regarding preference  Only count complaints regarding identity, strength, quality and purity Patient complaint rate
  • 41. 41 | pi © 2017 pi | contact@3-14.com | www.3-14.com Invalidated out-of-specification (OOS) rate = # invalidated OOS test results total # test results for test on long term stability and lot release tests in current reporting timeframe
  • 42. 42 | pi © 2017 pi | contact@3-14.com | www.3-14.com Data to report • Sum all release and stability tests • Sum release and stability test OOS results • Sum invalidated release and stability test OOS results Invalidated out-of-specification (OOS) rate
  • 43. 43 | pi © 2017 pi | contact@3-14.com | www.3-14.com OOS result All test results outside of specifications/acceptance criteria for • Lot release tests • Long-term stability tests Invalidated OOS result OOS due to aberration of measurement procedure  Observation & documentation of a test event that can reasonably be determined to have caused the OOS result Invalidated out-of-specification (OOS) rate
  • 44. 44 | pi © 2017 pi | contact@3-14.com | www.3-14.com Lot release test All tests evaluating conformance to final specifications • Real-time release tests • In-process tests that are surrogates for final release tests Long-term stability tests Only real-time stability tests  No accelerated stability tests Invalidated out-of-specification (OOS) rate
  • 45. 45 | pi © 2017 pi | contact@3-14.com | www.3-14.com Count OOS on: • The day the result is completed • The day the OOS investigation is initiated  Prior to result of investigation! • 1 result for 1 test • Establishment that manufactures API  No stability OOS results • Multiple long-term stability tests  Count all Invalidated out-of-specification (OOS) rate
  • 46. 46 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 1 Release tests Invalidated out-of-specification (OOS) rate Impurities OOS Content uniformity pass Dissolution pass Sum release & long-term stability tests: 3 Sum OOS results release & long-term stability tests: 1
  • 47. 47 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 1 Long-term stability tests Invalidated out-of-specification (OOS) rate 3m 6m Appearance pass pass Degradation products IOOS OOS Sum release & long-term stability tests: 4 Sum OOS results release & long-term stability tests: 2 Sum IOOS results release & long-term stability tests: 1
  • 48. 48 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 2 Invalidated out-of-specification (OOS) rate Raw material Processing FDF 2 raw material OOS results 3 in-process OOS results 10 lot release tests 1 OOS results
  • 49. 49 | pi © 2017 pi | contact@3-14.com | www.3-14.com Invalidated out-of-specification (OOS) rate Raw material Processing FDF 2 raw material OOS results 3 in-process OOS results 10 lot release tests 1 OOS results Sum release & long-term stability tests: 10 Sum OOS results release & long-term stability tests: 1 Example 2
  • 50. 50 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 3 Invalidated out-of-specification (OOS) rate Raw material Processing FDF 2 raw material OOS results 3 in-process OOS results 1 OOS for real-time release test 10 lot release tests 1 OOS results
  • 51. 51 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 3 Invalidated out-of-specification (OOS) rate Raw material Processing FDF 2 raw material OOS results 3 in-process OOS results 1 OOS for real-time release test 10 lot release tests 1 OOS results Sum release & long-term stability tests: 11 Sum OOS results release & long-term stability tests: 2
  • 52. 52 | pi © 2017 pi | contact@3-14.com | www.3-14.com Example 4 Invalidated out-of-specification (OOS) rate 50 kg API 10 kg 10 kg 10 kg 10 kg 10 kg OOS pass OOS  Count as 1 OOS pass Average on Certificate of Analysis
  • 53. 53 | pi © 2017 pi | contact@3-14.com | www.3-14.com • Submission of Quality Metrics Data: Revised Draft Guidance for Industry (November 2016) • Federal Register Notice of Availability (November 2016) • Quality Metrics, Technical Conformance Guide (Version 1.0, June 2016) • CDER Small Business and Industry Assistance article: FDA’s Quality Metrics reporting program: Submission of Quality Metrics Data (November 2016) • ISPE Quality Metrics Initiative, A Report from the Pilot Project (June 2015) (Wave 1 Report) • ISPE Quality Metrics Initiative, Quality Metrics Pilot Program (June 2016) (Wave 2 Report) Sources
  • 54. 54 | pi © 2017 pi | contact@3-14.com | www.3-14.com Our value proposition pi is the strategic partner of choice to some of the world’s leading life science companies. We offer our clients unique expertise and strategic consultancy of the highest quality. We dedicate ourselves to bringing excellence to the life sciences industry. We’ve grown by learning how to be better. Better resourced to focus our faculty of consultants’ singular experience and knowledge. Better managed to share their depth of understanding. Better prepared to challenge orthodox thinking. And better able to redefine accepted best practice. To accept no other standard than excellence. Connect with us on LinkedInVisit our website Follow us on Twitter

Editor's Notes

  1. In early phase QM will mainly be applied to help develop such risk-based inspection models  Focus resources to areas of highest risk to public health Factors to determine need for inspection besides QM: - recalls (rates, nature, history) - compliance history - previous inspection frequency (FDA or foreign agency) - inherent risk of the drug  QM can be of added value Predict possible drug shortages and thereby potentially prevent them by increased understanding of the supply chain & manufacturing process, which may identify the weaker links
  2. Agile = behendig, vlug, lenig
  3. Initiëel werd door grote spelers (bvb Sanofi) in vraag gesteld of de FDA zulke zaken wel mocht vragen van GM producenten, maar er bestaat wel degelijk een wettelijk kader voor: FDASIA act uit 2012, waaruit een aantal secties de implicatie van een dergelijk programma toestaan en zelfs stimuleren.
  4. FDA quality metrics program was first announced in april 2013 (ISPE = international society for pharmaceutical engineering) Idea to use QM for risk-based surveillance first discussed in 2013. ISPE launched pilot project to evaluate feasibility of applying standardized definitions of QM & standardized data reporting over different companies & @ different sites. -> was important to check since different companies & even different sites apply collect different metrics with different methods for different purposes (objectives of review data). Wave 1 achieved its goals, so the program was continued in wave 2 to elaborate the number of companies & sites contributing to the project. Since FDA published its 1st Draft Guidance in the course of wave 2: collected parameters were adapted in wave 2 to be conform to the 1st Draft guidance. The draft guidance was revised based on the outcome of the second wave project & comments from companies & ISPE. Early 2018: voluntary reporting phase : Companies that collect data over the course of 2017 can submit their data in the early months of 2018 Submission of QM via electronic portal At this point no details on how data should be submitted more details will be published 1-2 months before opening the portal & the portal is expected to be open for 1-3 months although the FDA did not yet define how long the phased-in approach will last.  1 of remarks from industry is that 1-2 months may not be enough to fully prepare the submission especially since some expect that the FDA might additionally alter the draft guidance based on the ISPE comments from march 2017. In any case “FDA expects to learn more about a limited set of quality metrics, associated analytics, and improve the FDA quality metrics reporting program based on this voluntary phase However, the FDA also recognizes that it may not achieve its goals when not enough data are obtained through the voluntary phase More data may be needed due to selection bias from companies (not for alle their products etc) Afterwards the FDA will take steps towards a legal obligation of QM reporting but since the extent of the voluntary phase is not yet defined, it is impossible to say when the mandatory reporting will commence No actions will be taken when incorrect data are submitted, provided the submitted is performed in good faith The EMA is not immediately mimicking this strategy. It did develop a program to evolve towards risk-based inspection but hereto the EMA will apply data collected during an inspection or information from the product quality review, instead of asking industry to quarterly submit data. The EMA also believes that the majority of the information requested via the FDA’s QMP is present in the product quality reviews and the EMA has an independent program to prevent drug shortages.
  5. Each element will be shortly discussed & afterwards we will take a closer look into the QM
  6. Since this is an FDA program, it is limited to products manufactured, imported or intended for import to the US.
  7. the program is geared towards finished drug products and API manufacturing, all industry manufacturers may report quality metrics data (e.g., atypical active ingredients and excipient manufacturers)
  8. FDA prefers product reports -> will allow improved understanding of entire supply chain and identification of weak elements in this chain. -> be more proactive in trying to prevent drug shortages Industry will likely prefer site reports -> products reports will be higher administrative burden and it will probably not always be feasible to obtain QM from all partners @ the beginning. Once the program becomes mandatory and all partners involved in the production of a single product do collect the QM correctly, it will become easier to collect all data and combine this in 1 report. Negotiate which site will be responsible for the report -> presumably the site resposible for release, will become very complex in case of contract manufacturing. By quarterly data collection industry can respond sooner to certain failures or non optimal quality metrics  aim to be more proactive
  9. 2016 draft guidance proposes to report 3 QM
  10. FDA provides tables indicating which parameters must be collected for which metric specified for both product reports & site reports. (Can be found as an attachment to the latest draft guidance)
  11. Lot acceptance rate information about manufacturing in a certain site In the same establishment: in case of product reports: must provide data per site -> will still retrieve information on manufacturing in individual sites
  12. Currently no definition of ‘rejected lot’ -> not considered necessary?
  13. In comment section: indicate number of lots for which no disposition decision was reached yet -> lots should not be included in initial calculation of lot acceptance rate Also indicate number of lots for which manufacturing was initiated in the previous year & are now rejeacted / accepted -> lot acceptance rate of previous year can be recalculated with complete data set (= important for follow up of trends quality metrics)
  14. What with complaints on doses distributed in the previous year? -> not yet indicated by FDA
  15. Always count as 5 complaints even if it is the same complaint
  16. Count complaint per csutomer (= patient / contract manufacturer / …)
  17. For FDA: only complaints by American customers must certainly be reported when other agencies will follow the FDAs example, will need to collect numbers on complaints in different nations For industry in any case best to collect all complaints to have best idea of delivered quality, but numbers might be worse -> risk more frequent inspection (balancing act)
  18. Must conduct an investigation when an OOS result occurs