Canadian Nurses’ Psychological Health Assessment and Its Determinants During the Uncertain Context of the Early COVID-19 Pandemic: A Cross-Sectional Study

Quebec's (Canada) nurses experienced a major reorganization of care during the first wave of the COVID-19 pandemic. This study aimed at investigating nurses' psychological health and its determinants during this highly uncertain time, with a particular focus on posttraumatic stress disorder (PTSD), anxiety, and depression. In 2020, a web-based cross-sectional survey was completed by a large sample of Quebec nurses (<i>n</i> = 1,773). High prevalence of PTSD (14.3%), anxiety (39.4%), and depression (46.7%) was observed. Overcommitment at work was associated with higher prevalence of PTSD, anxiety, and depression. More years since licensure, feeling safe with protective measures and increased social support were associated with lower prevalence of PTSD, anxiety, and/or depression. Our study identified modifiable personal and workplace factors that could be targeted by healthcare organizations and policymakers to promote nurses' well-being and enhance the resilience of healthcare systems to resist future global health crises or pandemics. Future research is needed to better understand the potential long-term consequences of the COVID-19 pandemic on nurses' psychological health.

Authors

Institutions

Publication Details

Journal
Policy Politics & Nursing Practice
Published
2025-05-15
DOI
https://doi.org/10.1177/15271544251338813
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Canadian Nurses’ Psychological Health Assessment and Its Determinants During the Uncertain Context of the Early COVID-19 Pandemic: A Cross-Sectional Study

Didier Mailhot‐Bisson, Stéphan Lavoie, Isabelle Ledoux, Mélanie Marceau et al.
Policy Politics & Nursing Practice
COVID-19 and Mental Health
article

Canadian Nurses’ Psychological Health Assessment and Its Determinants During the Uncertain Context of the Early COVID-19 Pandemic: A Cross-Sectional Study

Didier Mailhot‐Bisson, Stéphan Lavoie, Isabelle Ledoux, Mélanie Marceau, Nabiha Benyamina Douma, Émilie Gosselin, Josiane Provost
article en

Abstract

Quebec's (Canada) nurses experienced a major reorganization of care during the first wave of the COVID-19 pandemic. This study aimed at investigating nurses' psychological health and its determinants during this highly uncertain time, with a particular focus on posttraumatic stress disorder (PTSD), anxiety, and depression. In 2020, a web-based cross-sectional survey was completed by a large sample of Quebec nurses (<i>n</i> = 1,773). High prevalence of PTSD (14.3%), anxiety (39.4%), and depression (46.7%) was observed. Overcommitment at work was associated with higher prevalence of PTSD, anxiety, and depression. More years since licensure, feeling safe with protective measures and increased social support were associated with lower prevalence of PTSD, anxiety, and/or depression. Our study identified modifiable personal and workplace factors that could be targeted by healthcare organizations and policymakers to promote nurses' well-being and enhance the resilience of healthcare systems to resist future global health crises or pandemics. Future research is needed to better understand the potential long-term consequences of the COVID-19 pandemic on nurses' psychological health.

Policy Politics & Nursing PracticeVol. 26(3)
Université de Sherbrooke (CA), Université du Québec en Abitibi-Témiscamingue (CA), Centre Hospitalier Universitaire de Sherbrooke (CA)
Good health and well-being
Openalex Percentile: Top 85%
COVID-19 and Mental Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.