Personal Resilience, Social Support, and Organizational Support Impact Burnout among Nurses During COVID-19

BackgroundNurses have been under heavy workloads since the outbreak of COVID-19 and are at a high risk of infection, leading to a high level of psychosocial risk. This can adversely affect nurses both psychologically and physically. Burnout is caused by prolonged stress during work. In the nursing profession, burnout is common, potentially affecting the well-being of nurses and their productivity. The identification of factors that may contribute to maintaining mental health and reducing burnout among frontline nurses during a pandemic is essential. PurposeThe purpose of this study was to explore how personal resilience, social support, and organizational support impact burnout among frontline staff nurses. MethodsThis study involved 129 registered nurses from a COVID-19 designated hospital using four standardized scales. ResultsThe mean age of the respondents was 29.46 years (standard deviation = 4.89). The mean number of years respondents worked in this organization was 5.60 years and the nursing profession was 4.16 years. Most of the respondents were female and held a bachelors degree in nursing. Multiple regression analysis was performed to predict burnout. Burnout was statistically significantly predicted by the multiple regression model (R2 = .420, F (3, 125) = 10.941, p < .0001; adjusted R2 = .406). Personal resilience, social support, and organizational support added statistically significantly to the prediction of burnout (p < .05). ConclusionFindings from multiple regression analysis showed that nurses with low resilience and those who perceived inadequate social and organizational support had a higher risk of reporting more burnout. As a result of a bivariate analysis, there was no significant correlation between nurse variables and burnout level, except for age, which was negatively correlated with burnout level. Accordingly, young nurses tend to experience burnout, and nurse directors and managers must address this problem.