Written by Farzad Faraji Khiavi, Rezvan Dashti, Nadia Zergani
Parent Category: Year 2016, Volume 8
Category: Volume 8, Issue 4, April 2016
Introduction: Job satisfaction is one of the most challenging organizational concepts, and it is the basis of management policies to increase productivity and efficiency of the organization. The general health rate may affect job satisfaction in several ways. This study aimed to determine the association between job satisfaction and general health among employees of Golestan Hospital in Ahvaz, Iran.
Methods: The study population of this cross-sectional research included 100 employees of Golestan Hospital in Ahvaz, Iran. The data collection instruments were the General Health Questionnaire (28-GHQ) and the Job Descriptive Index (JDI) questionnaire. The data were analyzed using Pearson’s product-moment correlation coefficient, independent samples t-test, and ANOVA statistical tests in SPSS software.
Results: The mean general health was calculated as 26.19 ± 11.04, which indicated a positive psychiatric condition. Job satisfaction with a mean score of 89.67 ± 23.3 was deemed to be relatively dissatisfied. A medium negative and significant association was observed between job satisfaction and general health and its subscales (physical health, anxiety, social, and depression).
Conclusions: General health subscales and job satisfaction are associated. Some actions must be planned to cope with the negative factors in general health in order to increase employees’ satisfaction in university educational hospitals.
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Keywords: Job satisfaction, General health, Hospital staff
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The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
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TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
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About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: