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Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Peer Review Study
This article outlines a framework for data collection among communities of color based on a project by local organizations in Canada. The authors also discuss their encounter with data gaps and provide recommendations and strategies for policymakers and community/health stakeholders on how to improve, use, and analyze disaggregated data. As part of the Strengthening Disaggregated Sociodemographic Data Related to COVID-19 project with the Ottawa Local Immigration Partnership (OLIP) and the University of Ottawa, a framework for guiding equitable data collection and use was created.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
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Summary Report/Recommendations
This article shows efforts of six grant-funded regional partners to create a usable public health analytic system to address health inequities among COVID-19 positive cases on an individual patient level. The article highlights the many challenges of this Multistate Data Strategy, including lack of standardization across data sources, missing data fields, and different state-level reporting requirements. However, the ability to produce this analytic system in real time, including a standardized COVID-19 data dictionary, demonstrates the necessity for healthcare administrators to utilize deidentified patient-level data in order to provide better care for state residents, particularly in disadvantaged communities.