Back to Search
Start Over
Influence of caring for COVID‐19 patients on nurse's turnover, work satisfaction and quality of care.
- Source :
- Journal of Nursing Management; Jan2022, Vol. 30 Issue 1, p33-43, 11p
- Publication Year :
- 2022
-
Abstract
- Aim: This study aims to examine, through the lens of the Job Demands‐Resources model, the influence of caring for COVID‐19 patients on nurse's perception of chronic fatigue, quality of care, satisfaction at work and intention to leave their organisation and the profession. Background: Studies have examined how fear of COVID‐19 contributes to the mental, physical and work adjustment among nurses. To date, few studies have been conducted examining how caring for patients with COVID‐19 contributes to work outcomes among nurses. Methods: This is a cross‐sectional survey involving 1705 frontline nurses and licensed practical nurses in Quebec, Canada. From these, 782 reported caring for COVID‐19 patients. Results: High chronic fatigue, poor quality of care, lower work satisfaction and higher intention to leave their organisation were found for nurses caring for COVID‐19 patients. Poorly prepared and overwhelmed nurses showed higher turnover intention than those well prepared and in control. Conclusions: There is an urgent need to provide support to nurses during the pandemic, with a long‐term strategy to increase their retention. Implications for Nursing Management: Nurse administrators play an important role in supporting their nurses during a pandemic in the form of education, training and policy development to positively impact quality of care and retention. [ABSTRACT FROM AUTHOR]
- Subjects :
- MEDICAL quality control
STATISTICS
INFERENTIAL statistics
COVID-19
NURSES' attitudes
NURSING
ANALYSIS of variance
CONFIDENCE intervals
MATHEMATICAL models
CROSS-sectional method
INTERNET
MULTIVARIATE analysis
MEDICAL care
PATIENTS
PRACTICAL nurses
REGRESSION analysis
LABOR turnover
HUMANITY
T-test (Statistics)
HOSPITAL nursing staff
JOB satisfaction
RESEARCH funding
THEORY
DESCRIPTIVE statistics
QUESTIONNAIRES
INTENTION
DATA analysis software
DATA analysis
CHRONIC fatigue syndrome
Subjects
Details
- Language :
- English
- ISSN :
- 09660429
- Volume :
- 30
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Nursing Management
- Publication Type :
- Academic Journal
- Accession number :
- 154741731
- Full Text :
- https://doi.org/10.1111/jonm.13462