Thank you very much for providing me with this opportunity to present my views. I would also like to mention that I'm the current president of the International Society for Pharmacoepidemiology, and for several years I have been an expert consultant for regulatory authorities such as Health Canada as well as the European Medicines Agency, EMEA, as well as for the pharmaceutical industry. It's important also that I say that my presentation presents my views and not those of the organizations I'm affiliated with.
At present in the post-marketing setting, safety surveillance is mainly conducted through spontaneous reporting. While it is recognized that spontaneous reporting is the best method to detect a previously unknown safety issue at the level of the entire population, it is not suitable to quantify a risk. Spontaneous reporting is highly efficient to generate a signal, but not to evaluate the risk. Therefore, at the present time drug safety data originate mainly from randomized controlled clinical trials at the time of approval and spontaneous reporting thereafter as the main safety net to monitor drug harms.
What we have observed under this model is that over the past 30 years in Canada there have been 121 drug withdrawals due to safety issues. This represents extreme, if not catastrophic, regulatory decisions that should be avoided because of the major negative impacts at many levels, such as drug companies, regulatory agencies, and eventually loss of confidence by the public.
In other jurisdictions, such as the U.S. and the E.U., it has been recognized that the current model is insufficient to properly monitor the benefits and harms of medicines. Hence, there has been a major shift in paradigm for drug safety surveillance. Instead of relying entirely on randomized clinical trial data to assess the benefit-risk of a drug and afterwards on the spontaneous reporting system, authorities have introduced in their regulations risk management in all phases of drug development.
Since 2005, a pharmaceutical product is authorized on the basis that in the specified indication at the time of authorization, the benefit-risk is judged positive for the target population. However, it is recognized that not all actual or potential risks will have been identified when an initial authorization is sought. In addition, there may be subsets of patients for whom the risk is greater than that for the target population as a whole, or there may be subsets of patients for whom we are willing to accept greater risks because the condition for which they are treated is serious and they do not respond to any other available therapy.
Furthermore, there may be potential risks that need to be addressed, and to conduct additional randomized trials prior to the submissions will probably not bring the answers that are needed because some of those adverse events are extremely rare. Instead, an active surveillance system from the time of marketing would allow us to properly monitor these potential risks.
Finally, the benefits of a drug must also be monitored in the post-marketing setting, because even though a drug has been judged efficacious according to clinical trial results, the benefits may be much lower in the real-life setting. This is the case, for example, with anti-depressants, whereby more than 50% of patients discontinue their treatment before the minimum recommended duration of six months. Hence, patients are exposed to the risks that occur early in the treatment and to very little benefit since the drug must be taken for an extended period of time. Again, this would not have been reported in clinical trials.
Tools are available, such as observational epidemiological studies, to bridge this information gap and ensure that the benefit risk of a new drug is maintained. Should problems be identified in the usage of these drugs, or at-risk patients be identified, then interventions can be rapidly implemented to maintain the benefit-risk within the acceptable range. Such interventions are referred to as risk minimization action plans.
So the current risk management model involves various phases that can be summarized into detection, evaluation, minimization, and communication.
In the EU, all new drug applications must be accompanied by risk management plans. In the U.S., although not mandatory, such plans are expected by the FDA. In fact, drug approval may be delayed if the plan is judged not satisfactory.
Pharmaceutical companies are now realizing the huge economic consequences of not taking full responsibility for properly managing the risk. We are moving away from a reactive process to a much more proactive approach involving a broader evidence base and a widening of expertise, resources, and methodologies. Studies are conducted in the context of conditional approvals, and denial of marketing occurs if commitments are not met.
For many years Canada has been a leader in the area of pharmaco-epidemiological research, with one of the highest concentrations of experts in the world and access to invaluable resources, such as prescription and medical services databases that are available through our public health care system. Yet studies conducted in Canada are mainly investigator-driven. In the absence of legislation, those studies are not being implemented right at the time of marketing to ensure that real-life data on drug safety is generated as soon as possible and fed back to the regulators, who can then reassess the benefits and risks of a drug. In the absence of such legislation, regulatory authorities such Health Canada have very little leverage to request these studies.
Finally, an important element of risk management is risk communication. In addition to the package inserts, the evidence being generated must be fed back to the health care professionals and patients as soon as possible. The process by which the risk is being managed must be transparent and no longer a top-down approach.
In conclusion, the current model, such as the one used in Canada, is deemed insufficient to appropriately optimize the benefits and risks of medicines in the post-marketing setting. Risk management is the new paradigm that will use complementary sources of data and methods. Although the methods and expertise have been available in Canada for many years, they have not yet been packaged to be part of the drug regulatory process.
There are many resources in Canada that remain underutilized, such as claims databases, that could be useful in improving the analysis of spontaneous reporting of data and in evaluating the risk in the post-marketing setting.
Thank you.