Predict of nursing students job stress on the Hackman & Oldham’s job characteristics model

Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background
Job stress is one of the most important diseases of the century, plays a major role in today's organizations which researchers are trying to control and reduce it. One method for control and reduce of stress is hidden in job and its characteristics. Nursing students are faced continually with one of the stressful job. Hackman & Oldham Job Characteristics Model is famous theory in this field that focus on job and its characters. The purpose of this study is to study the role of job characteristics on job stress in nursing at hospitals Based on the view of nursing student that affiliated with the University of Medical Sciences.
Methods
This study is a descriptive-correlation. The population includes all nursing students who are work in hospitals affiliated with Kurdistan University of Medical Sciences at 2014. The sample consisted of 140 nursing students who were selected by stratified sampling method. Required data was collected by two standard questionnaires, Wagner job characteristics and Elliott job stress. Data by SPSS software using Pearson correlation coefficient and linear regression method was analyzed.
Results
Data analysis showed significant inverse relationship between all characteristics of job with job stress (p=0.01). As well as, Except Feedback, four other features include a variety, identity, significance, freedom have significant role in explaining the variance of job stress. The coefficients are orderly (-0.42), (-0.373), (-0.147) and (-0.111).
Conclusion
Job characteristics can reduce stress among nursing students working in hospitals. So that by applying techniques such as career development, job enrichment and training, nursing jobs excitation power increases. This leads to increased motivation and decreased job stress among nursing students.
Language:
English
Published:
Future of Medical Education Journal, Volume:8 Issue: 4, Dec 2018
Pages:
8 to 13
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