Prioritization of intensive care in an extreme pandemic context: 1) modeling/simulation of different strategies for prioritizing access to intensive care and 2) democratic deliberations by stakeholders on the values underlying the models and their health impacts.
- Funded by Canadian Institutes of Health Research (CIHR)
- Total publications:239 publications
Grant number: Unknown
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Key facts
Disease
COVID-19start year
2021Known Financial Commitments (USD)
$165,471.03Funder
Canadian Institutes of Health Research (CIHR)Principal Investigator
N/A
Research Location
CanadaLead Research Institution
Université de MontréalResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Supportive care, processes of care and management
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Not Applicable
Vulnerable Population
Not applicable
Occupations of Interest
Not applicable
Abstract
Google translate: In the face of a potential shortage, one of the strategies considered in this COVID-19 pandemic has been the development of triage (or prioritization) protocols for access to intensive care. Quebec and Ontario have each developed an adult prioritization protocol for access to intensive care in an extreme pandemic context which aims to allocate resources to reduce mortality in a fair and equitable manner. Fortunately, none of these protocols has ever been applied. Consequently, we do not have data on the impacts that their application would have had. We don't know what the public thinks about it either. These protocols have not been subject to a formal public consultation process. What do the people targeted by the protocol say? This project aims to carry out: 1) a mathematical modelling/simulation of two prioritization strategies (application of the adult protocol and principle of first come, first served) for comparative purposes; 2) democratic deliberations with members of the public based on the results of the modeling of the two prioritization strategies and the values that underpin them. Simulating different prioritization strategies will generate objective data on their health impacts (number of lives saved). Submitting the content of the protocols to deliberation will allow for informed feedback from the public in order to bring out the most optimal model.]
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