Megan Bourque, PhD
Director, Value & Evidence
专长:
Megan is a Director at EVERSANA, leading HEOR projects involving health economic modeling, value communications, literature reviews and reimbursement submission strategy. Megan has extensive research and writing experience in both academic and commercial applications, across medical device and pharmaceutical products.
Since joining EVERSANA, Megan has led a variety of projects, including the development and adaptation of pharmacoeconomic models (both cost-effectiveness and budget impact), systematic literature reviews, value communication tools, clinical summaries, and evidence synthesis projects. Megan has experience across a variety of therapeutic areas, including oncology, cardiovascular disease, chronic kidney disease, ophthalmology, multiple sclerosis, hernia repair, peripheral artery disease, and rare diseases such as cystic fibrosis.
Megan’s academic training includes a PhD in Molecular Biology and Genetics from McMaster University and an Honours BSc from the University of Toronto.
Expertise: Health economics and outcomes research, Market access and evidence generation strategy, HTA submission
Articles by Megan Bourque, PhD
Excel in Market Access Success: Key Considerations for Leveraging Your Evidence
Introduction The landscape of launching new medical products presents significant challenges, with a staggering 66% of launches falling short of consensus expectations. Half of these failures are attributed directly to poor market access. Recognizing this, companies are increasingly turning to early engagement with payers during the clinical development phase to glean crucial insights into payer […]
Filling Evidence Gaps Through Consensus: Revisiting the Delphi Technique
With the launch of any medical device, companies and healthcare providers must be thoughtful about answering the following questions: Who will benefit from this device? What problem does it address? How does this device fit into the current treatment paradigm? Stakeholders and HCPs are increasingly looking for robust data to inform complex healthcare decision making, […]