Data-Driven Decision Support Tool Co-Development Project | Phase 1: Problem Scoping

A rapid increase in the amount of health care data being generated and collected, coupled with advancements in data-analysis methods and technologies, is transforming healthcare. Artificial intelligence (AI) and related decision-support tools show remarkable potential for using data to empower quality improvement and tailoring of programs and services to meet client and community needs.

Primary health care utilization in the first year after arrival by refugee sponsorship model in Ontario, Canada: a population-based cohort study

#Abstract

#Background

Canada’s approach to refugee resettlement includes government sponsorship, a pioneering private sponsorship model and a third blended approach. Refugees are selected and supported differently in each approach including healthcare navigation.

Experiences and Needs of Young Black Canadian Mothers in Toronto: A Community-Based and Black-Centered Research

This report focuses on the experiences of young Black mothers in navigating the challenges of motherhood while facing systemic racism. TAIBU CHC and Researchers from Brock University draw on themes including maternal experiences of racism and gendered oppression, compounding stressors affecting Black mothers, and the impact of racism on early childhood growth and development. This research project is the first of its kind in Canada to explore this topic in a significant way.

Considerations for collecting data on race and Indigenous identity during health card renewal across Canadian jurisdictions

#Key Points

  • Canada’s health care systems do not routinely collect self-reported race and Indigenous identity data and often lack a standardized and consistent approach to data collection that would permit comparisons between organizations or jurisdictions.

“Can you hear me now?”: a qualitative exploration of communication quality in virtual primary care encounters for patients with intellectual and developmental disabilities

#Abstract

#Background

High quality communication is central to effective primary care. The COVID-19 pandemic led to a dramatic increase in virtual care but little is known about how this may affect communication quality.

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