Population Data BC recently conducted a survey to better understand user’s thoughts and experiences with the data, accompanying metadata, and method of data provision.
Here we share key findings and our commitments to address researcher feedback and suggestions. The outcomes of this survey will be used in the development of next year’s annual plan and will feed into the strategic priorities for fiscal year 2022-2023.
Social policy and clinical care are filled with thresholds—people receive or don’t receive interventions or treatments based on factors such as income, test results, year of birth, and others. These thresholds are a potential source of quasi-randomization for strong observational studies.
The Manitoba Centre for Health Policy (MCHP) has a long and successful history of leveraging the whole-population administrative data to generate evidence to answer real-world policy questions.
Data access has been approved for a project to improve our understanding of the long-term development consequences of antidepressant use in pregnancy.
This FREE webinar takes place from: 12:00noon to 1:00pm PST
The use of dashboards to access the latest healthcare data is something most of us have become familiar with since the start of COVID-19. But do you know how these dashboards are developed and their value to informing timely decision-making, strategy development, and team collaboration in a Population Health setting?
In 1969, Ivan Fellegi and Alan Sunter formalized a strategy for conducting probabilistic record linkage that had been developed previously. Included in this formalization was the demonstration that the scoring method used with this is optimal under certain assumptions.
The COVID-19 pandemic has impacted our society in innumerable ways to the extent that no aspect of normal societal life has been spared the rigour of upheaval. This wide-spread change has impacted many individuals, especially those possessing considerable life challenges during pre-pandemic times.
Throughout the COVID-19 pandemic, real-time data and analytics have been important to both understanding the virus’ impact on populations and health systems and informing the public health response. The unprecedented need for timely, relevant analytics presented challenges to many health systems.
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