Détermination par la simulation du profil type et des valeurs des professionnels de la santé qui décideront de s'impliquer dans les soins aux patients atteints de COVID-19 ou de s'en retirer.
- Funded by Canadian Institutes of Health Research (CIHR)
- Total publications:1 publications
Grant number: 170648
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Key facts
Disease
COVID-19Known Financial Commitments (USD)
$153,701.18Funder
Canadian Institutes of Health Research (CIHR)Principal Investigator
Bruno PiloteResearch Location
CanadaLead Research Institution
Université LavalResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Indirect health impacts
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Adults (18 and older)
Vulnerable Population
Unspecified
Occupations of Interest
Health PersonnelHospital personnelNurses and Nursing Staff
Abstract
The SARS-CoV-2 virus benefits from extensive media coverage in view of the deaths attributable to it. Health centers in Canada are monitoring its evolution and are attentive to the appearance of any new cases. This viral disease can be scary and health professionals may fear for their safety or that of others when working with infected people. This choice to intervene or withdraw from care is generally easy to make in the absence of a real threat and is subject to a rational and conscious process. However, when a person is subjected to a real and imminent threat, they feel stress and fear. This fear, rational or irrational, plays an important role in the decision to intervene or flee. Currently, we do not know how healthcare professionals will respond when faced with an imminent threat such as SARS-CoV-2. We do not know the profile of the people who would agree to intervene, nor that of the people who would prefer to abstain. In this study, we wish to create an authentic simulation environment reproducing an epidemic situation. Participants selected at random (nurses, doctors and attendants) in five health establishments in Canada will be called upon to intervene with people affected by the coronavirus. Through this in situ simulation, we seek to reproduce the mental state in which the health professional will find themselves when intervening with this population. We will thus be able to determine the profile of people ready to intervene, using qualitative and quantitative analysis. Hospitals will be able to use the results to determine the people likely to intervene effectively and efficiently in the event of a major outbreak in order to reduce the organizational and human risks of the epidemic.
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