Relationship between Job Satisfaction and Emotional Intelligence in Critical and Emergency Nurses

Abstract:
Background and Objectives
Job satisfaction and emotional intelligence are the most important factors in providing the best quality of nurse's services to patients. Lack of attention to this problem is disrupted the organization system in the long term.It causes reduce in the sense of responsibility, burnout and eventually leave of serve. Therefore, this study aimed to determine the relationship between job satisfactions with emotional intelligence among nurses of Kerman University of Medical Sciences hospitals.
Material &
Methods
This is a cross-sectional and descriptive study. The study population formed of 150 critical and emergency nurses of Kerman University of Medical Science hospitals. Data were collected via instrument which includes background information and 28 items form ofBradbry-Graves, emotional intelligence and 21 items from of job satisfaction by census method. Data analysis was performed by t-test and ANOVA test andPearson correlation coefficients.
Results
Results showed that the mean score of job satisfaction was 83.72±17.69 and the mean scoreof emotional intelligence was 121.09±17.56. It was observed that there is a significant relationship between total score of job satisfaction (intrinsic and extrinsic satisfaction) and total score of emotional intelligencewith a correlation coefficient of 0.351 (P>0.0001).The results of analysis of (ANOVA) and t-test showed thatthere is not a significant relationship between demographic variables (age, education, experience, organizational unit, sex) with job satisfaction and emotional intelligence and their dimensions(P>0.05).
Conclusions
Job satisfaction is directly related to emotional intelligence and it seems that people with high emotional intelligence feel more satisfaction in their work with colleagues and patients. It is suggested that further studies should be done to reveal the relationship between these two concepts and their relationships with demographic variables.
Language:
Persian
Published:
Journal of Sabzevar University of Medical Sciences, Volume:24 Issue: 1, 2017
Pages:
1 to 8
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