Seyvan Sobhani; Sara Tabanfar; Isa Mohammadi Zeidi; Mohammad Sharif Hosseini
Abstract
Background: High mental workload can negatively affect nurses’ mental and physical health, quality of life, and workability. Therefore, the present study aimed to determine the relationship between mental workload and the workability among nurses.Methods: Using the multi-stage sampling method, ...
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Background: High mental workload can negatively affect nurses’ mental and physical health, quality of life, and workability. Therefore, the present study aimed to determine the relationship between mental workload and the workability among nurses.Methods: Using the multi-stage sampling method, the researchers selected 142 nurses working in Qazvin hospitals in Covid-19 patient care units to participate in a cross-sectional descriptive study. Data collection tools included a demographic information questionnaire, the NASA Workload Index, and Workability Index. Data were analyzed by independent t-test, Pearson correlation coefficient, and ANOVA in SPSS software.Results: The mean age of participants was 31.3±6.1 years, and the work experience mean was 7.6±5.8 years. The results showed a high mental workload (80.4±13.4) and moderate workability (31.8±7.3). The number of nurses’ shifts per month was negatively correlated with workability (P=0.032). ICU nurses had the highest mental workload score and the lowest workability score. Also, workability there was a significant negative correlation between mental workability and workload (r=-0.579 & P<0.001).Conclusion: A reverse correlation was observed between mental workload and workability. To improve the performance and mental health of nurses, frequent training programs and management interventions should be practiced.
Reza Kazemi; Safora Karimpour; Maryam Shahriyari; Seyed Noredin Hossaini
Volume 5, Issue 4 , October 2017, , Pages 188-192
Abstract
Abstract Background: The mental workload and cognitive failures are among the factors affecting the human behavior, performance and efficiency, which are both effective on the human error and accidents of the drivers. This study was conducted to examine the relationship between cognitive failure and ...
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Abstract Background: The mental workload and cognitive failures are among the factors affecting the human behavior, performance and efficiency, which are both effective on the human error and accidents of the drivers. This study was conducted to examine the relationship between cognitive failure and mental workload of taxi drivers in Shiraz.Methods: This descriptive-analytical and cross-sectional study was conducted on 200 taxi drivers in Shiraz in 2017. In order to measure the mental workload and cognitive failure, NASA-TLX mental workload questionnaire and CFQ cognitive failure questionnaire were used, respectively. Finally, statistical analysis was performed using SPSS version 21. Pearson correlation, T-test and one-way ANOVA tests were used to analyze the data statistically.Results: The taxi drivers' mental workload was reported relatively high in this study and the results showed that a significant relationship was found between mental and temporal workload and nominal memory error of drivers at 5% error level (p <0.05). Also, a significant relationship was observed between temporal pressure and performance and memory and attention, respectively (p<0.05). In general, a significant relationship was observed between total cognitive failure and total mental workload (p<0.05). Also, demographic factors as age had a significant effect on both mental workload and cognitive failure (p<0.05).Conclusion: The results of this study showed a significant relationship between the mental workload and cognitive failure, so that with increasing the mental workload, cognitive failure of taxi drivers also increased and the probability of the human error and consequently driving accidents increased. Therefore, reducing the mental workload with providing ergonomic solutions can greatly prevent the human error in driving as a major contributor to many accidents.
fariba kiani; Ahmad Borjali; Kyomars Farahbakhsh; Noorali Farrokhi
Volume 3, Issue 2 , April 2015, , Pages 64-70
Abstract
Backgrounds: Situation awareness is an important factor in industrial accidents. Improving situation awareness may help to prevent occupational accidents. Determination of factors influencing situation awareness will help to plan and take measures for betterment of working condition and development of ...
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Backgrounds: Situation awareness is an important factor in industrial accidents. Improving situation awareness may help to prevent occupational accidents. Determination of factors influencing situation awareness will help to plan and take measures for betterment of working condition and development of a safer workplace. In this study, we examined the role of work overload and job stress in predicting work situation awareness among workers. Methods: This is a cross-sectional study. A sample consisting of 180 employees in National Petrochemical Company in 2014 was selected using stratified random sampling method; the participants filled out the questionnaires containing questions on demography characteristics, work situation awareness of Sneddon, Mearns & Flin (2013), work overload of Beehr, Walsh & Taber (1976), and job stress scale of Cohen and colleagues (1983).The data were analyzed by SPSS software using coefficient correlation and stepwise regression. Statistical differences were considered significant at P<0.001. Results: The results showed that there were internal correlation among work overload, job stress and work situation awareness. Also, the results of stepwise regression analysis revealed that work overload and job stress significantly predicted, respectively, almost 11% and 35% of variances of work situation awareness among workers. Conclusion: Work overload and job stress are two main factors for predicting work situation awareness. To improve workplace safety, interventional measures should focus on enhancing the situation awareness via workload and job stress reduction.