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Online only. Live sessions will be from Monday to Friday between 9:00 am and 1:00 pm Montreal Time (EST).
This course builds core implementation science competencies to support the translation of evidence into practice, with an explicit focus on equity. Participants develop the skills to diagnose implementation barriers and enablers, design and tailor implementation strategy packages, and plan robust evaluation approaches. Advanced methods studios provide in-depth exploration of implementation trial design, implementation science–informed systematic reviews, economic considerations for scale-up, and equity-focused impact assessment.
Dr. Guillaume Fontaine, RN, PhD, ID
Assistant Professor and Director of the McGill RISE Implementation Science Lab, Ingram School of Nursing, McGill University
Associate Member, Department of Global and Public Health, McGill University
Principal Investigator, Centre for Clinical Epidemiology, Lady Davis Institute for Medical Research
Co-Lead, Implementation Science, CIHR/PHAC Canadian Network on Hepatitis C
Co-Lead, Methods, CIHR Pan-Canadian HIV and STBBIs Clinical Trials Research Network
The course is built around a practical “end-to-end” implementation pathway that works across all settings: participants will learn to turn a broad challenge into a precise implementation problem, identify and prioritize determinants, and then design a small, coherent implementation strategy package that is realistic for the resources, workflows, and realities of their setting. Learning is grounded in real-world cases spanning hospital/health system redesign, resource-constrained delivery (including common LMIC constraints like workforce gaps, task sharing, and limited data infrastructure), and national scale-up. Participants also get hands-on exposure to fit-for-purpose evaluation: hybrid and quasi-experimental designs, pragmatic measurement of implementation outcomes (including fidelity and adaptation tracking), and practical costing/budget impact considerations to strengthen scale-up decisions for ministries, health systems, NGOs, and funders. The week closes by looking at contemporary and novel areas in the field, including how AI can support implementation work.
By the end of the course, participants will be able to:
Limited to 150 participants.