Provincial implementation supports for socio-demographic data collection during COVID-19 in Ontario’s public health system

• Published in: Canadian journal of public health 2021-10, Vol.112 (5), p.853-861
• Main Authors: Abdi, Samiya, Bennett-AbuAyyash, Caroline, MacDonald, Liane, Hohenadel, Karin, Johnson, Karen O., Leece, Pamela
• Format: Article
• Language: English
• Subjects: Best practice; Collaboration; Community involvement; Community participation; Coronaviruses; COVID-19; Data analysis; Data collection; Demographics; Marginalized groups; Medicine; Medicine & Public Health; Principles; Public Health; Quality control; Questions; Sociodemographics; SPECIAL SECTION ON COVID-19: INNOVATIONS IN POLICY AND PRACTICE; Sustainability
• ISSN: 0008-4263; 1920-7476
• DOI: 10.17269/s41997-021-00551-2

Setting The Ontario government implemented a regulatory change to mandate the collection of socio-demographic (SD) data for individuals who tested positive for COVID-19. This change was informed by evidence of COVID-19’s disproportionate impact on marginalized communities and calls for broader collection of SD data. Given the scarcity of similar efforts, there is a significant knowledge gap around implementing standardized SD data collection in public health settings. Intervention Public Health Ontario provided collaborative support for the implementation of SD data collection, grounded in health equity principles, evidence, and best practices. We supported the addition of SD fields in Ontario’s COVID-19 data collection systems, issued data entry guidance, hosted webinars for training and learning exchange, and published a resource to support the data collection process. The current focus is on building sustainability and quality improvement through continued engagement of public health units. Outcomes By November 28, 2020, almost 80% of COVID-19 cases had information recorded for at least one SD question (individual questions, range 46.8–67.0%). We hosted three webinars for the field, and the data collection resource was viewed almost 650 times. Practitioners continue to express needs for support on applying equity principles to data analysis and interpretation, and community engagement on data collection and use. Implications Sharing knowledge on responsive implementation supports in collaboration with the field and using current evidence and guidance will strengthen public health practice for SD data collection. Laying this groundwork will also improve the likelihood of success and sustainability of these equity-focused efforts.