Providing a Model of Predictors of Job Burnout for Nurses in Epidemic 19 CoVID-: Social Support and Nursing Self-Efficacy

The aim of the present study was to investigate the predictors of burnout for nurses in the CoVID epidemic - social support and nursing self-efficacy. This research is descriptive and correlational based on the research design and applied based on the purpose because its results can be used in the real world. Conducting descriptive research can be to better understand the current situation or to assist in the decision-making process. Descriptive research can include gathering information to test a hypothesis or answering questions about the current state of the subject matter. A descriptive study identifies and reports the status quo. In terms of data collection, according to the method of data collection, which was done using a questionnaire, there is a descriptive correlation. In order to collect research data, the Armed Burnout Questionnaire (MBI), Social Support Scale, Zimet et al., And Scherer's general self-efficacy were used. Data were analyzed by descriptive analysis and inferential analysis by Pearson correlation and multivariate regression. The results showed that family support, support of friends, support of important people and self-efficacy have a negative and significant role in predicting burnout and each of these variables are able to explain the changes in burnout in terms of amount and percentage (Sig <0.05).