Predicting Burnout Based on Self-Compassion and Perceived Stress with the Mediation of Spiritual Intelligence in Infectious Department Nurses

The aim of the present study was to predict burnout based on self-compassion and perceived stress with the mediation of spiritual intelligence in infectious department nurses. This is a survey research and prediction type. The statistical population of the research include all the nurses of the infectious department of Imam-Khomeini Hospital in Tehran in the year 1400, numbering 150 people. The sample size was available using the sampling method, and 108 nurses were selected. The research tools included burnout questionnaires (1981), self-compassion by Neff et al. (2003), Elliott stress (1994) and King's spiritual intelligence (2008). To analyze the data, the statistical methods of Pearson's moment correlation coefficient, multiple regression and structural equation modeling were used by SPSS-26 and Lisrel-8 software. The results showed that self-compassion and perceived stress have a direct effect on burnout, and self-compassion and perceived stress have an indirect effect on burnout with the mediation of spiritual intelligence. According to the results, it can be said that when nurses have self-compassion and perceived stress, they can affect burnout through them, and the existence of spiritual intelligence can mediate these things.