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Determining burnout based on organizational health, social capital and perceived social support in nurses


Maryam Ehsanfar

Abstract

Aim: the aim of this research is to predict burnout on the basis of organizational health, social capital and perceived social support in nurses. Method: this is a descriptive – correlational study in terms of type of research. The research population consists of all nurses working in the hospitals of the city of Khoram Abad in 2018. The size of population at the time of conduction of research was 282 people. In the present study, the convenience non-random sampling method was used to select 100 of the statistical population as the sample group. Measure tools of the research included the following standard questionnaires: Organizational Health Index, Social Capital Questionnaire, Perceived Social Support and Burnout Inventory. To analyze the research data, Kolmogorov-Smirnov test, univariate and multivariate linear regression based on an alpha of 0.05 were used. Findings: organizational health (r=1.33), social capital (r=-2.18) and social support (r=-22) had a significant and diverse relationship with nurses’ burnout. Organizational health played a bigger role in predicting nurses’ burnout in comparison to other variables. Conclusion: based on the findings of the present study, it can be concluded that there was a relationship between the increase of organizational health, social capital and perceived social support in nurses and the reduction of their burnout.




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