Arrow Left Evidence generation methods & evidence requirements

Innovations in Post-Marketing Safety Research

This thesis proposes ways of improving drug safety during the post-marketing phase and underlines the importance of proactive pharmacovigilance. Regulations require that the pharmaceutical industry establishes pharmacovigilance systems to monitor the safety of their products. Currently there are gaps in the safety net, made manifest by the number of market withdrawals due to safety reasons and the impact of serious adverse drug reactions post-marketing. More effective methods need to be developed to identify serious adverse drug reactions at an earlier stage and to facilitate decision-making. The studies in this thesis identify several ways to use available data more efficiently; like using information about same class drugs, establishing trial databases for post-hoc analysis and limiting uncertainties regarding off-label use by making use of patient characteristics. Furthermore, we propose a Bayesian approach to combine data from clinical trials and observational studies to aid decision-making. New ways of looking at available information and methods for combining this data can be used to make appropriate pharmacovigilance decisions by both the industry and regulators.

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