The sponsor of a clinical trial needs to reach agreement with clinical investigators to conduct the trial. The suitability of investigators and their institutional sites, typically hospitals, has to be evaluated, and the trial has to be set up at each site. This module describes the processes involved, focusing particularly on the role of a Clinical Research Associate (CRA) employed or contracted by the sponsor to monitor the trial.
This module provides an understanding of how clinical trials fit into the drug development process. It outlines the key historical events leading to the development of controlled clinical trials. It specifies the purpose of trials, outlines their features, and identifies codes and regulations that apply to them. Finally, it describes the environment of cost control in which the modern pharmaceutical industry operates.
Good Manufacturing Practice (GMP) is a set of rules for medicines manufacturers to follow so that their products are safe, effective, and of good quality. The rules may be written into law or set out in guidance documents from regulatory authorities. Regulators will not allow medicinal products to be placed, or to remain, on the market in their country unless the products can be shown to be manufactured in compliance with GMP. To this end, they carry out inspections of manufacturing plants. Companies that persistently commit serious breaches of GMP requirements have suffered huge fines.
The warehouse plays a crucial role in a medicinal products factory. This module explains the requirements of Good Manufacturing Practice (GMP) for the warehouse, and how to comply with them.
Pharmacokinetic (PK) and pharmacodynamic (PD) studies provide a bridge between science and medicine in the development of a drug. In this module we describe the role of in-vivo PK and PD studies in a drug development programme, set out the uses to which the findings can be put, and discuss their implications for clinical development and application for marketing approval.
Proactive risk management is a major component of good pharmacovigilance practice. This module sets out the principles of risk management planning and outlines regulatory requirements for risk management plans in regions that are major markets for medicinal products.
A 505(b)(2) New Drug Application (NDA) is a submission to the Food and Drug Administration (FDA) for approval to market a drug in the USA. It differs from a ‘stand-alone’ NDA in that some of the data on which the applicant relies to demonstrate safety and efficacy have been obtained from publicly available sources rather than from the applicant’s own studies. The applicant typically proposes to market a drug that is based on an approved reference product but modified in its formulation or uses. A 505(b)(2) NDA also differs from an Abbreviated New Drug Application (ANDA) for approval of a generic drug in that the applicant’s product need not be a duplicate of the reference listed drug. The 505(b)(2) pathway may be said to lie part-way between the ‘stand-alone’ NDA and generics pathways, offering a unique combination of advantages to developers. It facilitates the modification of drugs to address unmet medical needs. The 505(b)(2) application pathway accounts for about half of all new drug approvals in the USA.
Pharmaceutical, biotechnology and medical device companies and clinical researchers need to assure regulatory authorities of the reliability of the data that they generate during product development and testing – that is, to demonstrate data integrity. Practices that provide assurance of data integrity in clinical research are required by law and/or established as expectations in regulatory guidance. The data are reviewed in regulatory applications or during regulatory inspections of clinical trial sponsor and investigational sites. Inadequacies of data integrity are frequently reported by inspectors and result in regulatory actions against the organizations or individuals concerned. This course explains the requirements and describes principles and practices that should be followed by trial sponsors, investigators and other clinical research personnel to assure regulators of data integrity.
Pharmaceutical and biotechnology companies and researchers need to assure regulatory authorities of the reliability of the data that they generate or acquire during product development and manufacturing – that is, to demonstrate data integrity. Data integrity is assessed during regulatory inspections of manufacturing and research sites. Inadequacies of data integrity are frequently reported by inspectors and result in regulatory actions against the companies or individuals concerned. Practices that assure data integrity are required by law and/or expected by regulators in the fields of nonclinical and clinical research, manufacturing and distribution, and pharmacovigilance of medicinal products. This course explains the requirements and describes principles and practices that should be followed to assure regulators and contractual partners of data integrity in the manufacture of medicinal products.
This module provides an introduction to the basics of medical device regulation, especially the requirements that manufacturers must meet in order to market devices in Europe and the USA.