Workload and its Associated Factors among Nurses in Teaching Hospitals of Shiraz University of Medical Sciences in ۲۰۱۷

سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 106

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شناسه ملی سند علمی:

JR_JGBFNM-16-1_009

تاریخ نمایه سازی: 20 آذر 1402

چکیده مقاله:

Introduction: Workload is one of the most important occupational factors of anxiety. The present study aimed to investigate workload and its associated factors among nurses working in teaching hospitals of Shiraz University of Medical Sciences in Iran. Methods: This cross-sectional descriptive-analytic study was conducted in ۲۰۱۷. A total of ۳۴۰ nurses from the hospitals were selected using the stratified random sampling method, and finally ۳۱۲ individuals were recruited in this study. The data collection instrument included the National Aeronautics and Space Administration Task Load Index. The data were also analyzed through descriptive indices as well as t-test, analysis of variance, Pearson’s correlation coefficient, and multiple linear regression. SPSS Software, Version ۱۶, was used to analyze the data at a significance level of ۰.۰۵ (α=۰.۰۵). Results: The mean score of workload was ۷۳.۴۷±۲۱.۸۱. The mean scores of the effort rate (۷۹.۰۹±۲۱.۸۱) and frustration and failure level (۵۹.۵۱±۳۰.۷۶) also received the highest and the lowest values, respectively. Moreover, statistically significant relationships were observed between level of education (p=۰.۰۳), employment relationships (p=۰.۰۰۱), number of patients under the nurses’ monitoring per work shift, and the mean score assigned to workload among nurses (p=۰.۰۴, r=۰.۱۱۷). Conclusion: The workload among nurses examined in this study was reported at a high level. Therefore, managers should implement programs such as motivational incentives and welfare services to moderate the workload in nursing.

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نویسندگان

Ali Reza Yusefi

candidate of health services management, Student Research Committee, Aliasghar Hoapital

Zahra Ebrahim

Ph.D. candidate of health services management, Science and Research Branch

Sanaz Zargar Balaye Jame

Assistant Professor, Department of Health Management and Economics

Peivand Bastani

Assistant Professor, Health Human Resources Research Center

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