Related Experiment Video
Updated: Jun 15, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
A Global Industry Survey on Post-Approval Change Management and Use of Reliance
Andrew Deavin1, Aliyah Hossain2, Isabelle Colmagne-Poulard3
1GSK, 20 Avenue Fleming, 1300, Wavre, Belgium. andrew.x.deavin@gsk.com.
Abstract:
Post-approval changes (PACs) to the control and manufacturing processes of medicines and vaccines are routinely undertaken and critical to enable both innovation and secure sustained supply. In a world of global supply chains, the existence of divergent national PAC requirements (with additional countries introducing new requirements with potential differences) and other factors including document preparation and response timelines, can lead to long delays in approval (of up to 3-5 years) increasing the risk of disruption and shortages.We undertook an Industry survey in 2023 to assess implementation of ICH Q12, PAC procedures (change categorisation and review timelines) and use of reliance mechanisms across different countries (9 selected ICH Members and 19 Observers). Although this survey revealed limited implementation of Q12 in ICH Member countries, when comparing the data collected with those of a previous survey performed in 2020, we observed a broader adoption of risk-based approaches to variation categorisation (in all countries). This, however, was not reflected in improved timelines for approval.With regards to ICH Q12 adoption, the uptake of Post-Approval Change Management Protocols (PACMPs) was unchanged (with only one country reporting in-use) and implementation gaps were evident for Established Conditions (EC) and the Product Life Cycle Management document (PLCM). The survey found greater awareness of ICH Q12 and its tools compared to 2020, potentially illustrating the positive impact of training efforts. This illustrates the challenges being faced to broaden its implementation and use globally.In the same Industry survey, we also assessed PAC processes across different international countries. Long unpredictable timelines were the major concern across the countries surveyed together with limited capacity of the regulators. Four different CMC changes were selected and categorized by the respondents according to current knowledge of national classifications and timelines in the selected countries and compared with a reference classification and timeline from the European Medicines Agency and the World Health Organisation. This highlighted the lack of harmonisation of many countries with EU/WHO requirements, especially within the ICH Observer group.Last, this survey showed that some use of unilateral forms of reliance to Reference Authorities for PACs is starting. This is a mechanism all countries can employ, regardless of convergence of requirements and expertise, to enhance capacity building and reduce duplication of reviews, streamline variations approval, whilst accelerating patient access to innovation and securing supply.
More Related Videos
Related Concept Videos
Pharmacovigilance
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Drug Regulation
Drug Control Governance: Regulatory Bodies and Their Impact
Types of Reports II: Incident or Occurrence Report
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...

