Volume 8, Issue 2 (2023)
SJMR 2023, 8(2): 87-95 |
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Honarjoo F, Nasiri S, Roshan F. Assessment of Mental Workload of Nurses Using Optimized NASA-TLX Index Based on Fuzzy Approach. SJMR 2023; 8 (2) : 2
URL: http://saremjrm.com/article-1-295-en.html
URL: http://saremjrm.com/article-1-295-en.html
1- MSc of Medical Engineering, PNU of Yazd, Yazd, Iran.
2- MSc of Occupational Health, Kashan University of Medical Sciences, Kashan, Iran
2- MSc of Occupational Health, Kashan University of Medical Sciences, Kashan, Iran
Abstract: (341 Views)
Introduction: Mental workload is the effort that the mind makes while performing a task. Nursing is a hazardous job that requires high mental effort. Previous studies used the NASA index and the average method to evaluate the mental workload. The aim of this study was to optimize NASA's mental workload index using the fuzzy approach and evaluate it in nurses.
Materials and methods: This descriptive analytical study was conducted in 2023 among 115 nurses of a public hospital in Isfahan city. In this study, firstly, the mental workload subscales were optimized by using the fuzzy analytical hierarchy process and then by using a two-part questionnaire nurse mental workload was a. SPSS v22 software was used for data analysis.
Results: Fuzzy analytical hierarchy process showed that mental demand (with a relative weight of 0.185) is the most important and frustration (with a relative weight of 0.144) is the least important workload subscale for nursing jobs. The nurses mental load index was estimated 76.57 ± 10.26, which shows that the mental load of this group is high. There is a significant relationship between the age, experience and working hours and nurse’s mental workload (p<0.05).
Conclusion: Mental demand is the most important and frustration is the least important subscale of mental workload in nurses. According to the results, the mental workload of nurses is high. The optimized mental workload index has the ability to evaluate the mental workload of nurses in a suitable way.
Materials and methods: This descriptive analytical study was conducted in 2023 among 115 nurses of a public hospital in Isfahan city. In this study, firstly, the mental workload subscales were optimized by using the fuzzy analytical hierarchy process and then by using a two-part questionnaire nurse mental workload was a. SPSS v22 software was used for data analysis.
Results: Fuzzy analytical hierarchy process showed that mental demand (with a relative weight of 0.185) is the most important and frustration (with a relative weight of 0.144) is the least important workload subscale for nursing jobs. The nurses mental load index was estimated 76.57 ± 10.26, which shows that the mental load of this group is high. There is a significant relationship between the age, experience and working hours and nurse’s mental workload (p<0.05).
Conclusion: Mental demand is the most important and frustration is the least important subscale of mental workload in nurses. According to the results, the mental workload of nurses is high. The optimized mental workload index has the ability to evaluate the mental workload of nurses in a suitable way.
Article number: 2
Article Type: Original Research |
Subject:
Health and safety
Received: 2023/07/12 | Accepted: 2023/08/6 | Published: 2023/12/19
Received: 2023/07/12 | Accepted: 2023/08/6 | Published: 2023/12/19
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