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http://dx.doi.org/10.5932/JKPHN.2021.35.3.469

Predictive Factors of Nurses' Turnover Intention during the COVID-19 Pandemic  

Lee, Eun Joo (Department of Nursing, Kyungnam University)
Park, Hyun Jin (Department of Nursing, Kyungnam University)
Kim, Eun Ji (Department of Nursing, Kyungnam University)
Kim, Ji Su (Department of Nursing, Kyungnam University)
Publication Information
Journal of Korean Public Health Nursing / v.35, no.3, 2021 , pp. 469-480 More about this Journal
Abstract
Purpose: Nurses are exposed to stressful circumstances during the COVID-19 outbreak, which increases their turnover intention. This study aimed to identify predictive factors of turnover intention among nurses during the COVID-19 outbreak. Methods: This study was a cross-sectional design using self-report questionnaires. A total of 164 nurses working at three hospitals participated voluntarily in the study. Questionnaires included nursing professionalism, job satisfaction, control belief and COVID-19 stress. Data were collected from February 1, 2021, to March 15, 2021. Data were analyzed with SPSS WIN 23.0 program using descriptive statistics, x2-test, independent t-test and logistic regression. Results: The turnover intention rate of nurses was 33.5%. Two significant predictors of nurses' turnover intention were identified, including risk acceptance in caring for patients with COVID-19 (odds ratio [OR] 4.24, 95% confidence interval [CI]=1.76~10.49) and nursing professionalism (OR=1.06, 95% CI=1.02~1.10). Conclusion: Hospital administrations should provide an improved work environment, such as individual protective equipment, compensation and protective system to nurses to avoid turnover intention in COVID-19 outbreak.
Keywords
COVID-19; Personnel Turnover; Intention; Nurse; Pandemic;
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