:: Volume 7, Issue 4 (7-2017) ::
2017, 7(4): 11-20 Back to browse issues page
Investigating the Relationship between Nurses’ Job Burnout and its Related Psychological Variables in Iranian Public Hospitals Using Fuzzy DEMATEL Method
Ho. Samadi-Miarkolaei , Ha. Samadi-Miarkolaei
Young Researchers and Elite Club, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran.
Abstract:   (6106 Views)
Today, nursing is one of the most stressful jobs and “job burnout” is considered as a common syndrome (resulting from stress) among nurses. Job burnout is the consequence of fatigue and workplace tensions and imposes considerable costs on health services and their employees. Considering the importance of this issue and its influence on employees’ performance and productivity, the present paper aims at investigating the relationship between nurses’ job burnout and its psychological variables in Iranian public hospitals. The present paper is a cross-sectional research performed through descriptive–analytical method. Research variables include quality of work life, organizational citizenship behavior, job burnout, mental health and ethics. The studied population is composed of 30 experts, authorities and head nurses in Iranian public hospitals selected by purposive sampling. Required data was collected through the questionnaire of pair comparisons and analyzed by Fuzzy DEMATEL Method. Results based on values of (di+rj) showed that job burnout (5.69) is the most important and organizational citizenship behavior (5.48) is the least important variable. Moreover, value of (di+rj) revealed that ethics (0.94) and organizational citizenship behavior (-0.87) are the most influencing and the most influenced variables, respectively. Also, obtained valued of  demonstrated that job burnout plays the main role and has the strongest relationship with other variables.
 
Keywords: Nurses, Job Burnout, State Hospitals, Fuzzy DEMATEL Technique.
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Type of Study: Research | Subject: General
Received: 2017/05/10 | Accepted: 2017/09/4 | Published: 2017/07/19


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Volume 7, Issue 4 (7-2017) Back to browse issues page