Quality by Design using Design of Experiments 2017

The Q8, which is the ICH guidance document on pharmaceutical development, requires a drug product to meet its intended product performance as well as the needs of patients. A drug product is encouraged to adapt a systematic approach for pharmaceutical development in accordance with the steps defined by Quality by Design (QbD) principles, even though the strategy may vary from company to company or from product to product.

The ICH has offered further guidance and policies for explaining the ways by which the QbD approach should be integrated into the pharmaceutical Quality System. Some of these are:

o  Process design

o  Qualification

o  Continued process verification

o  Risk management

o  Validation.

Laxity in implementation is no longer an option

Despite the issuance of guidance on implementation of these requirements; many companies have not yet implemented QbD into their Quality Systems. This will change soon, though. Regulatory agencies have been taking a serious view of non-implementation of these requirements.

The ways in which reviewers will begin to enforce the requirements from these guidance documents have been spelt out in the manual the Chemistry, Manufacturing, and Controls (CMC) reviewers in the Office of Pharmaceutical Science (OPS) released on policies and procedures (MAPP).

The zeal with which the regulatory agencies will enforce compliance with the requirements of the QbD requirements has been emphasized also by the Director of the Center for Drug Evaluation and Research (CDER) at the FDA, who detailed the concept and reiterated the importance of using a QbD approach to pharmaceutical development in a paper he co-authored in The American Association of Pharmaceutical Scientists in May 2014.

Understand the ways of implementing QbD

In the light of the fact that a drug product can no longer afford to relax in its adherence to steps defined by Quality by Design (QbD) principles to adapting a systematic approach for pharmaceutical development; a meaningful and educative two-day seminar from GlobalCompliancePanel, a leading provider of professional trainings for the areas of regulatory compliance, will show the ways of doing this.

At this seminar, Heath Rushing, who is the cofounder of Adsurgo LLC and co-author of the book Design and Analysis of Experiments by Douglas Montgomery: A Supplement for using JMP, will be the Director. To gain complete insight into how to implement QbD, please register for this seminar by visiting Quality by Design using Design of Experiments. This seminar has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

Complete learning on QbD using DoE

The core purpose of this session is to demonstrate how to integrate those QbD principles into a pharmaceutical Quality System. Towards this end, Heath will focus on how to establish a systematic approach to pharmaceutical development that is defined by Quality-by-Design (QbD) principles using Design of Experiments (DoE).

He will also take up the application of statistics for setting specifications, assessing measurement systems (assays), developing a control plan as part of a risk management strategy, and ensuring process control/capability for detailed description. All concepts are taught within the product Quality System framework defined by requirements in regulatory guidance documents.

A systematic understanding of the process

A QbD approach for pharmaceutical development studies should include a systematic understanding of the process. It should then use this understanding to establish a control strategy as part of a comprehensive quality risk management program. This systematic understanding should include both identification of significant process parameters and determination of a functional relationship (mathematical model) linking these significant process parameters to the critical Quality Attributes (CQAs). Heath will discuss these in depth.

Despite the thrust of this seminar on the use of DoE for QbD; it will integrate multiple aspects of QbD. An understanding of the relevant applied statistics will be offered, which will help participants understand how statistics can be used to help in two foundational requirements of QbD: A) Setting specifications, and B) Analyzing measurement systems.

Important tools for facilitating understanding

This seminar will also offer tools to participants, which will help them to derive value out of their designed experiments. Generating and analyzing both screening and response surface designs for QbD studies, the ways of using this information: best practices on presentation, setting control plans, constructing control charts, and evaluating process capability are among the other constituents of this course. This course uses the point-and-click interface of JMP software for analyses.

Heath will cover the following areas at this seminar:

o  Implement QbD principles from discovery through product discontinuation

o  Apply statistics to set specifications and validate measurement systems (assays)

o  Utilize risk management tools to identify and prioritize potential Critical Process Parameters

o  Identify Critical Process Parameters and develop a functional relationship between those process parameters and your Critical-to-Quality Attributes (CQAs)

o  Establish your design space

o  Develop a control plan as part of a risk management strategy

o  Ensure your process is in (statistical) control and capable.

Validation in accordance with ICH guidelines

Chemical

Professionals in the field of statistical analysis need a clear and perceptive insight into how to understand and interpret statistical concepts used to investigate quantitative ICH Guidelines such as analytical methods validation, procedures and acceptance criteria in calibration limits. Along with these, process and quality controls, as well as ICH Q8 and Q9 also need to be properly and thoroughly understood.

The ICH tripartite-harmonized ICH Guideline on Text, which was previously coded as Q2A, finalized in October 1994 under Step 4, is the guideline the ICH has set out for analytical methods validation. The aim of this guideline is to identify the validation parameters that are required for a number of analytical methods. This guideline also lays down the characteristics and parameters that need to be taken into consideration when validating the analytical procedures that are included in the registration applications.

Likewise, the ICH tripartite-harmonized ICH Guideline on Methodology, which used to be previously coded as Q2B, finalized in November 1996 under Step 4, is the ICH guideline on procedures and acceptance criteria in calibration limits. This guideline extends the ICH guideline on Text, or what is called Q2A (mentioned above) to comprise the actual experimental data required, along with the statistical interpretation, for the validation of a variety of analytical procedures.

Current Step 4 for process and Quality Control

For process and Quality Control, the extant guideline is the Current Step 4 version of the ICH-harmonized Tripartite Guideline. The final draft of this guideline has been recommended for adoption to the regulatory bodies of the three biggest pharmaceutical markets in the world, namely the US, the EU and Japan.

In order to achieve harmonization in Quality, professionals have to meet critical milestones. These include conducting stability studies, the way the studies define relevant limits for the testing of impurities, and following a more malleable approach to pharmaceutical quality that is based on the principles of Good Manufacturing Practice (GMP) risk management. ICH’s Quality guidelines on harmonization relating to Quality cover the following areas:

Get professionally trained on the areas of Validation in accordance with ICH guidelines

Considering the complexity and the breadth of the issues associated with these techniques, which cover both the pharmaceutical and clinical applications, and considering that these techniques apply to a number of area such as stability testing, outlier analysis and risk management; it is necessary and important to undergo professional trainings with which professionals in these areas can clarify a number of doubts.

This is the learning a two-day seminar from GlobalCompliancePanel, a leading provider of professional trainings for the areas of regulatory compliance, will be imparting. This training will be led by Dr. Alfred Bartolucci, who serves as Emeritus Professor of Biostatistics at the University of Alabama. To enroll for this seminar, please register by logging on to Validation in accordance with ICH guidelines . This seminar has been pre-approved by RAPS as eligible for up to 12 credits towards a participant’s RAC recertification upon full completion.

A clear and deep understanding of statistical concepts

Depth and clarity of understanding of the statistical concepts used for investigating quantitative ICH Guidelines such as analytical methods validation, procedures and acceptance criteria in calibration limits, and process and Quality Control, along with ICH Q8 and Q9 will be the main thrust of this seminar.

This seminar is not a course in statistics, but offers an introduction to an applied approach to the statistical techniques used, and how to reasonably interpret them. This learning will help participants address the various challenges facing pharmaceutical and biotechnology companies when they have to quantify results in a meaningful interpretable manner through tabulations and graphical presentations.

In addition, Dr. Bartolucci will also focus on another important area: What the different regulatory agencies expect of the quantification and development of a sound statistical monitoring of a properly utilized, effective, and efficient process control. He will familiarize the participants with the critical aspects of the statistical methods and explain to them the practical application of these guidelines.