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. Little is known about how well private sponsors facilitate primary care navigation and whether this changed during the large-scale 2015 Syrian resettlement initiative characterized by civic and healthcare systems engagement.
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
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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. Adults with intellectual and developmental disabilities (IDD) can experience challenges communicating or communicate in non-traditional ways. This study explored how the use of virtual modalities, including telephone and video, affects communication in primary care interactions for patients with IDD.
Progress Report: Alliance EQ-5D PROMs Pilot (April 2023)
Introduction
During the fall of 2022, the Alliance for Healthier Communities (Alliance) launched a research project to pilot the implementation and use of the EQ-5D patient reported outcomes measures (PROMs) tool within 6 Community Health Centres (CHCs). The goal of this project is to investigate if the integration of the EQ-5D tool helps support collaborative care planning and program evaluation, as well as identify the processes involved in the implementation for widespread adoption across the sector.
2-pager: Virtual Care during COVID-19 Research Study
In 2020, the Alliance for Healthier Communities and its member centres embarked on a research study to explore the challenges and opportunities inherent in a shift towards virtual care. The study involved extracting EMR data from 36 CHCs, an organizational survey, as well as conducting phone interviews with 36 providers and 31 clients. This 2-page handout summarizes the main findings.
Health Care Use and System Costs Among Pediatric Refugees in Canada
Background
Resettled refugees land in Canada through 3 sponsorship models with similar health insurance and financial supports but differences in how resettlement is facilitated. We examined whether health system utilization, costs, and aggregate 1-year morbidity differed by resettlement model.
Using neighborhood level ‘Measures of Vulnerability (MOV)’ to address health inequalities
Context
Information about the individuals’ Social Determinants of Health could help primary care (PC) providers prioritize and tailor care, but such data are not routinely collected in electronic medical records (EMRs). Neighbourhood level Measures of Vulnerability (MOVs) derived from census data may provide good proxy information. We studied three commonly used multi-dimensional Canadian neighbourhood MOVs to identify which have the strongest ability to discriminate health measures between most deprived and least deprived individuals.