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:: Volume 23, Issue 4 (winter 2022) ::
EBNESINA 2022, 23(4): 25-32 Back to browse issues page
Structural modeling for predicting job burnout based on organizational commitment mediated by job wellbeing of nurses
Zinab Rasouli , Fariba Hassani , Ali Akbar Khosravi Babadi , Mahdi Zare Bahramabadi
Department of Psychology, Faculty of Psychology and Educational Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran , Hassani.fariba@gmail.com
Abstract:   (816 Views)

Background and aims: Nursing is one of the vital jobs in society, and nurses spend an important part of their lives in close contact with individuals and patients. The aim of this study was modeling and predicting job burnout based on organizational commitment mediated by job well­being in female nurses.
Methods: This was a descriptive correlational study of structural equation modeling. The statistical population was all female nurses in public hospitals in Tehran, Iran. The sample size was 330 nurses who were selected by simple random sampling method. Maslash Job Burnout Questionnaire, Allen & Meyer Organizational Commitment Questionnaire, and Parker Wahitt Job Welfare Questionnaire were used for collecting data. Statistical analysis was performed with SPSS and LISREL software. Structural equation modeling was also used to test the research hypotheses.
Results: The current findings confirmed the effect of organizational commitment on job burnout with the mediating role of job well-being in the nursing population.
Conclusion: By promoting job well-being and increasing organizational commitment, job burnout in nurses can be reduced and ultimately lead to an increase in the quality of nursing care and patient satisfaction.
 
Keywords: Occupational Burnout, Organizational Ethics, Job Satisfactions
Full-Text [PDF 1046 kb]   (497 Downloads)    
Type of Study: Original | Subject: Military Psychiatry
Received: 2021/02/16 | Accepted: 2021/07/10 | Published: 2021/12/31
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Rasouli Z, Hassani F, Khosravi Babadi A A, Zare Bahramabadi M. Structural modeling for predicting job burnout based on organizational commitment mediated by job wellbeing of nurses. EBNESINA. 2022; 23 (4) :25-32
URL: http://ebnesina.ajaums.ac.ir/article-1-950-en.html


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