Co-Leads: Nick Bansback
& David Whitehurst
Health economics is a field of study concerned with the connections between health and the resources needed to promote health (e.g., time, people, money and equipment). Because resources are limited, choices need to be made and priorities need to be identified.
By applying economic theories of demand, supply, and social choice, health economics aims to understand the behaviours of decision makers, whether that be individuals, households, health care providers, organizations or governments.
Consulting with researchers, policy makers, and practitioners, this Cluster:
Browse the priorities and projects below, or use the interactive diagram to the right.
Browse the priorities and projects below.
*The Health Economics and Simulation Modelling cluster identified ‘themes’ rather than ‘priorities,’ but we refer to priorities herein to keep terms consistent across our website.
Co-Lead
David Whitehurst
Co-Lead
Nick Bansback
Co-Lead
David Whitehurst
Co-Lead
Nick Bansback
Filter by Priority
More and more, healthcare decisions are being informed by scientific computer models.
Our research team The Peer Models Network is passionate about computer modelling—and passionate about engaging patients and members of the public!
This project developed a detailed tool, in the form of a series of questions, to guide a research team on how, when, and where members of the public can best be engaged in “health technology assessments.”
Most clinical researchers who come up with their ideas do ask others if it’s a good idea… but the trouble is they ask other clinicians, and not potential patients.
So, we asked patients. What did they want from their treatments?
Three projects from this Cluster have presented Methods Matters webinars:
“Most clinical researchers who come up with their ideas do ask others if it’s a good idea… but the trouble is they ask other clinicians, and not potential patients.”
So, we asked patients. What did they want from their treatment?
Mark Harrison & Nick Bansback discuss: Rethinking how we design clinical studies
