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Predicting the safety behavior of health care staff based on work-family conflict and emotional intelligence with the mediating role of burnout
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Seyed Jamal Sadeghi    , Afsaneh Taheri * , Farah Lotfi Kashani , Nastaran Sharifi |
| Roudehen Branch, Islamic Azad University , a2_taheri@yahoo.com |
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Abstract: (3095 Views) |
Introduction: People working in health environments are exposed to serious risks and injuries. The aim of this study was to determine the mediating role of burnout in the relationship between work-family conflict and emotional intelligence with safety behavior in health care staff.
Methods: The present study was applied in terms of purpose and descriptive based on the method and was a model of structural equation modeling. The statistical population of this study included all health workers of Mahabad city who were selected by stratified random sampling method of 200 people and completed Safety Behavior Questionnaires, Work- Family Conflict Scale, Maslach Burnout Inventory and Emotional Quotient Scale. Data analysis was performed using structural equation modeling method with Smart-PLS and SPSS software.
Results: The findings indicated a fitting of the structural model of the research as well as a negative and significant relationship between work-family conflict and burnout with safety behavior as well as a positive and significant relationship between emotional intelligence and safety behavior. It was also found that burnout plays a mediating role in the relationship between emotional intelligence and work-family conflict with the safety behavior of health care staff (P <0.01(.
Conclusion: The present study showed that work-family conflict and emotional intelligence are able to predict the safety behaviors of health care personnel. It seems that the management system of the organization can improve the safety level of its employees by optimally managing these factors.
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| Keywords: safety behavior, emotional intelligence, work-family conflict, burnout |
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Full-Text [PDF 400 kb]
(1652 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2020/06/2 | Accepted: 2020/10/5 | Published: 2020/10/31 | ePublished: 2020/10/31
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