ArticleBMC public health2024
A study of the enablers and barriers to the collection of sociodemographic data by public health units in Ontario, Canada during the COVID-19 pandemic.
Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Collecting Accurate and Robust Equity (CARE) data: an analysis of a pilot quality improvement initiative in ambulatory settings.BMJ open quality · 2026Article
- Distance to primary care and its association with health care use and quality of care in Ontario: a cross-sectional study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025Article
- Advancing Health Equity Through Primary Care: Protocol for the Spread, Scale, and Multimethod Developmental Evaluation of the Deep End Canada Network.JMIR research protocols · 2025Article
- Community Mobilization to Promote Vaccine Confidence During a Global Public Health Emergency: Insights from Peel Region and Toronto (Ontario, Canada) a Qualitative Study.Health services insights · 2025Article
- A study of the enablers and barriers to the collection of sociodemographic data by public health units in Ontario, Canada during the COVID-19 pandemic.BMC public health · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCollection and use of sociodemographic data (SDD), including race, ethnicity and income, are foundational to understanding health inequities. Ontario's public health units collected SDD as part of COVID-19 case management and vaccination activities. This research aimed to identify enablers and barriers to collecting SDD during COVID-19 case management and vaccination.
methodsAs part of a larger mixed-method research study [1], qualitative methods were used to identify enablers and barriers to SDD collection during the COVID-19 pandemic. Purposive sampling was used to recruit participants from Ontario's 34 public health units. Sixteen focus groups and eight interviews were conducted virtually using Zoom. Interview data were transcribed and analyzed using inductive and deductive qualitative description.
resultsSDD collection enablers included: legally mandating SDD collection and having dedicated data systems, technological and legal supports, senior management championing SDD collection, establishing rapport and trust between staff and clients, and gaining insight from the experiences from local communities and other jurisdictions. Identified barriers to SDD collection included: provincial data systems being perceived as lacking user-friendliness, SDD collection "was not a priority," time and other constraints on building staff and client rapport, and perceived discomfort with asking and answering personal SDD questions.
conclusionA combination of provincial and local organizational strategies including supportive data systems, training, and frameworks for data collection and use, are needed to normalize and scale up SDD collection by local health units beyond the context of the COVID-19 pandemic.
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