Multi-level Outcomes for Structural Action and Inclusive Community Health for Type-2 Diabetes

 

Diabetes is rising in Canada, with nearly one in ten Canadians — an estimated 3.7 million people — having been diagnosed with diabetes, according to data from the Public Health Agency of Canada.  Rates are even higher in Peel Region with one in six adults living with diabetes. The risk of developing Type 2 diabetes is higher for some population groups (e.g., marginalized communities). Socioeconomic factors, the built environment, structural barriers, lifestyle factors, and healthcare access also influence the inequities in diabetes risk.

The goal of MOSAIC-T2D is to create a targeted approach to preventing Type-2 diabetes by understanding different risk factors, including social and other health influences, working closely with partners and communities in Peel region to ensure the strategy is equitable and fits local needs.

The specific objectives are to:

    • Co-develop with community partners, a multi-level framework for capturing differences in diabetes risk that includes how different health determinants interact with each other and considers the local context.
    • Apply the co-designed multi-level framework to describe inequities in diabetes risk in Peel Region using validated population risk tools and data from different sources.
    • Collaborate with community partners to identify locally relevant multi-level diabetes prevention interventions, test how well these strategies reduce both the risk of diabetes and related inequalities, and use findings to expand the approach to other communities.

Expected Impact:

This comprehensive participatory approach will ensure that community perspectives shape locally relevant Type-2 diabetes prevention interventions that can benefit ethnically diverse communities.

OUR TEAM
Researchers & Trainees
Academic Investigators (University of Toronto):
Trainees:
  • Ijeoma Itanyi, PhD Candidate, Dalla Lana School of Public Health, University of Toronto
  • Gemma Postill, MD/PhD Candidate, Temerty Faculty of Medicine, University of Toronto
  • Lief Pagalan, PhD Candidate, Dalla Lana School of Public Health, University of Toronto
Co-Applicant Patient Partners
  • Marlie Yoshiki
  • Shailesh Desai
  • Urainab Peerbhoy
Co-Applicant Community Organisations & Partners
Knowledge Users
Research Staff
  • Kathy Kornas, Senior Epidemiologist, Population Health Analytics Lab, University of Toronto
  • Lori Diemert, Program Manager, Population Health Analytics Lab, University of Toronto
  • Isabelle Choon, Knowledge Mobilization Research Officer, Trillium Health Partners
  • Asli Hersi, Research Assistant, Trillium Health Partners
PARTNERS

FUNDERS

This is a Team Grant funded by:

CONTACT US

For more information about this study, email us at pophealthanalytics.dlsph@utoronto.ca.