Volume 2, Issue 1 (2017)                   Manage Strat Health Syst 2017, 2(1): 67-77 | Back to browse issues page

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Hasanlo M, Mohajeri M, Osfori R. Demographic Predictors of Job Satisfaction among Nurses. Manage Strat Health Syst 2017; 2 (1) :67-77
URL: http://mshsj.ssu.ac.ir/article-1-77-en.html
Instructor, Department of Surgical Technology, School of Nursing and Midwifery, Zanjan University of Medical Sciences, Zanjan, Iran
Abstract:   (2845 Views)
Background: The implementation effect of nurses' efficiency improvement law on their job satisfaction is still not clear. Therefore, the aim of this study was to investigate nurses' job satisfaction after execution of the efficiency improvement law among them.
Methods: This analytic study was carried out among 410 clinical nurses selected through a convenient and accessible sampling method and based on the assigned ratio in each of the hospitals. A questionnaire designed in 2 parts of demographic information and job satisfaction dimensions was applied to collect data. Data were analyzed using SPSS 20 software through descriptive (mean and frequency) and analytical (regression) statistics.
Results: Based on the results, most nurses were in the emergency department and their job satisfaction score was evaluated with the mean score of 43.46 ± 12.74. The highest mean scores (61.80 ± 18.50) was related to communication factors; while the lowest score (18.90 ± 7.18) was attributed to management style. In multiple linear regression analysis, important predictors of job satisfaction were age, gender, and income, which were statistically significant. (p = 0.00)
Conclusion: Regarding the relationship between care quality and job satisfaction of nurses, annual evaluation of job satisfaction and its related factors is recommended to increase the satisfaction and survival of human resources , improve the management style of the organization, and standardize the rights and benefits, especially for people with long work experience in this occupation.
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Type of Study: Research | Subject: Special
Received: 2017/05/16 | Published: 2017/06/20

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