Relationship between the Degree of Exhaustion and Self-efficiency among the Employees of health Management and General Office of Social Security in Chahar Mahal and Bakhtiari province

Abstract The purpose of this research was to examine the relationship between the degree of exhaustion and self-efficiency among the employees of Social Security Organization in Chahar Mahal and Bakhtiari province. The statistical population of this research included all social security organization employees in Chahar Mahal and Bakhtiari province. Based on the latest available statistics, 800 employees are working in 15 insurance branches as well as the SSO hospital and clinics of the province. Thus, according to the Morgan table and Cochran formula, the sample size was considered 260 employees who were selected through random sampling. For data collection, we used the demographic questionnaire, Maslach exhaustion inventory (MBI) and Sherer self-efficiency questionnaire. The data was analyzed using the descriptive and inferential statistical methods. The results of Pearson correlation co-efficiency test showed that there were the negative and significant correlations between exhaustion and its components with self-efficiency among the Social Security Organization employees in Chahar Mahal and Bakhtiari province (P>0.05). Moreover, the results of regression analysis test showed that there was a linear relationship between predictor variables (exhaustion components included emotional exhaustion, depersonalization and self-accomplishment) and criterion variable (selfefficiency health). In other words, the relationship between predictor and criterion variables was 35.2%. Also, results showed that there were significant differences between exhaustion and self-efficiency among men and women (P>0.05). Finally, present results showed that, there were the negative and significant correlation between exhaustion and self-efficiency among employee.