Lessons Learned from the Collection of Sociodemographic Data During the COVID-19 Pandemic

Data to Enable a Learning Health System, Integrating Health & Social Care

In Progress

Data collection, Sociodemographic Data Collection

November 2022 - March 2023 | Funders: Public Health Ontario | Partners: Peel Public Health, Ottawa Public Health, Dalla Lana School of Public Health, University of Toronto

About

For Public Health Units (PHU) to respond to the health needs of the population informed by evidence, there is a need to better understand the barriers and enablers to collect sociodemographic data. We are interested in understanding what staff think about the collection and use of sociodemographic data in the PHU setting, so that mechanisms may be developed to support data collection as part of public health practice going forward to inform health equity interventions.

Impact

The project will develop a set of recommendations that PHU can use to inform their planning and implementation of new sociodemographic data collection initiatives. In addition, the research team will produce knowledge translation materials such as webinar and report to support PHU on enablers and barriers to sociodemographic data collection.

The project team gratefully acknowledges funding received from Public Health Ontario through the Locally Driven Collaborative Projects program.

Team Members

Andrew Pinto (Principal Investigator)
Monali Varia (Co-Principal Investigator)
Aideen Reynolds (Co-Principal Investigator)
Gregory Kujbida (Co-Investigator)
Ikenna Mbagwu (Co-Investigator)
Shilpa Raju (Co-Investigator)
Sydnee Burgess (Co-Investigator)
Helen Stylianou (Co-Investigator)
Laurie Dojeiji (Co-Investigator)
Segun Ogundele (Research Coordinator)
Menna Komeiha (Research Assistant)
Joseph O’Rourke (Research Coordinator)