The predictors of fatigue among Iranian nurses during the COVID-19 pandemic
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background: Nurses spend a significant amount of time caring for patients with COVID-19. This can result in increased fatigue and decreased performance in them. This study was performed to determine the predictors of fatigue among nurses working in COVID-19 wards in Ardabil, Iran.Method: This cross-sectional study included 231 nurses who worked in the COVID-19 wards of Ardabil University of Medical Sciences. The census method was used to select the samples. The 'Multidimensional Scale of Perceived Social Support,' the 'NASA-TLX workload,' the 'Nurse Job Stress,' and the "Nurse Fatigue Scale' were used to collect data.Results: The results of linear regression analysis indicated that social support (p= 0.003), workload (p< 0.001), and work shift (p= 0.002) exhibited a significant relationship with fatigue among nurses working in COVID-19 wards so that 19.1% of the nurses' fatigue in these wards was predicted by the above variables.Conclusion: Given the significant relationship between workload, work shift, and social support and fatigue, nursing managers should arrange shifts flexibly and use low rotational shifts to reduce nurses' fatigue. Moreover, health authorities must be increased social support by sharing work experiences, listening to nurses' concerns, and providing empathic support. Implications for nursing practice: Considering the importance of the nursing job and knowing the principle that the fatigue of nurses and factors related to it directly affects the ability of the organization to properly care for patients, therefore, using the results of this study, appropriate management measures can be taken to reduce fatigue.
Institution: Ardabil University of Medical Sciences
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,130
OpenAlex ID: W4416261634