Population health, health services research, population-based risk tools to support health decision-making, diabetes and obesity prevention, impact of prevention on health care sustainability, population health interventions
1) Population Risk Tools: I specialize in the development of population risk tools that can be used by decision-makers to inform prevention strategies and resource allocation for chronic diseases. I developed and validated the first population risk tool for diabetes, Diabetes Population Risk Tool (DPoRT). Most recently, I have developed a new methodology to identify optimal cut-offs for diabetes screening that, if targeted, maximize prevention outcomes in the population.
2) High-users of health care: Using linked health administrative data for participants from several cycles of a comprehensive health survey we have investigated a multitude of individual-level variables, including socio-economics, demographics, health behaviors and medical history that influence high cost trajectories. The goal is to identify risk factors associated with becoming a HU which may be targeted or modified before health declines begin. This research also stresses the importance of collaboration across public health, social and health care systems.
3) Type 2 diabetes (T2DM) and obesity prevention is a focus of much of my research. I have led several studies looking at patterns of diabetes (including undiagnosed and prediabetes) and obesity trajectories in the population.
4) I have led scholarly research on how best to inform the evidence-to-action process and support health decision-making. I recently published CIHR-funded research on the use of evidence for public health policy decision-making. Furthermore, I currently hold a CIHR operating grant focused on partnerships with local and provincial public health decision-makers across Canada to facilitate the uptake of population risk tools as a strategic decision-aid. This project directly studies the effectiveness of the knowledge-to-action process in multiple Canadian health settings.
5) I have been the methodological lead for a number of population health and publish on overarching methodological issues in epidemiologic studies, such as measurement error, unmeasured confounding, selection bias and the impact of in accuracies in administrative data.
- Associate Professor, Dalla Lana School of Public Health, University of Toronto
- Adjunct Scientist, Institute for Clinical Evaluative Sciences (ICES)
- Scientist, Institute for Better Health, Trillium Health Partners
Thesis Supervision (2011+)
- Eric Stephen De Prophetis. The Relationship between Life Satisfaction and Hospitalizations for Ambulatory Care Sensitive Conditions: A Population Cohort Study (2019)