Abstract

Knowledge about the benefit-risk profile of a drug is limited at the time of drug approval and grows over time when the drug is increasingly used in routine daily practice. After drug approval the drug is used within a broader and more heterogeneous population with more comorbidities, for a longer period of time and under less controlled circumstances compared with the use during premarketing clinical trials. The dynamics of the benefits and the risks of a drug require a life cycle approach in which the benefit-risk balance is continuously evaluated. Proactive pharmacovigilance is part of the life cycle approach and is aimed at early detection and minimisation of risks. The World Health Organisation (WHO) defines pharmacovigilance as the science and activities relating to the detection, assessment, understanding and prevention of adverse effects or any other possible drug-related problems.The responsible regulatory authorities at European and Dutch level are the European Medicines Agency (EMA) and the Dutch Medicines Evaluation Board (CBG-MEB), the Netherlands Pharmacovigilance Centre (LAREB) and the Dutch Health Care Inspectorate (IGZ). Risk minimisation measures (RMMs) are interventions that aim to optimise the benefit-risk balance of a drug by minimising its risks during drug use in clinical practice. These measures intend to prevent or reduce the occurrence or the severity of adverse drug reactions (ADRs).

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M.C.J.M. Sturkenboom (Miriam)
Erasmus University Rotterdam
The work described in this thesis was conducted under the umbrella of the Regulatory Science collaboration between the Dutch Medicines Evaluation Board (CBG-MEB), Utrecht, the Netherlands and the department of Medical Informatics of the Erasmus University Medical Center, Rotterdam, the Netherlands. The CBG-MEB is dedicated to ensure that licensed medicinal products during their whole life cycle have a positive benefit-risk. This role requires intensive collaboration with academic and clinical partners in order to develop new assessment and decision-making methods, to engage with the clinical and to strengthen regulatory science. This thesis aims to go beyond its scientific merits as such by delivering science, learning and insight to promote public health. Financial support for printing this thesis was generously provided by the Interdisciplinary Processing of Clinical Information (IPCI) group of the department of Medical Informatics, Erasmus University Medical Center, the Dutch Medicines Evaluation Board (CBG-MEB) and het Nederlands Bijwerkingen Fonds.
hdl.handle.net/1765/77734
Erasmus MC: University Medical Center Rotterdam

Zomerdijk, I. (2015, March 4). Measuring Effectiveness of Risk Minimisation Measures. Retrieved from http://hdl.handle.net/1765/77734