Showing 32 results for Load
Seyed Abolfazl Zakerian, Marzieh Abbasinia, Farugh Mohammadian, Asad Fathi, Abdolrasoul Rahmani, Iman Ahmadnezhad, Mehdi Asghari,
Volume 1, Issue 1 (9-2013)
Abstract
Introduction: While great efforts have been made to determine the quality of life in
hospital staffs, few studies have been conducted to identify the effective
factors on the quality of life of these employees. The purpose of the present
study was to investigate the relationship between workload and quality of life
in hospital personnel.
Material and Methods: In this descriptive-analytical study, 200 staffs were selected randomly
from two large hospitals of Tehran University of medical sciences (Imam
Khomeini and Shariati hospitals). The data collecting tools were three
questionnaires including demographic characteristics,
quality of life (SF-36), and NASA-TLX workload. SPSS software (version 18.0)
was used to analyze the data by descriptive statistics, and Pearson and
Spearman correlation tests.
Results: Based on the
findings of the study, the mean total scores of the quality of life and the
workload were 50±18 and 69.7±13.9, respectively. The results revealed
significant reduction in all dimensions of quality of life in nurses compared
with laboratory and operating room staffs. Meanwhile the nurses’ workload
scores were higher than the two aforementioned groups (p = 0.001). Moreover,
there was a significant inverse relationship between workload and quality of
life in hospital staffs (P=0.004, r = -.306).
Conclusion: The
results of this study highlight the role of managers and supervisors in the
implementation of efficient interventions for improving the quality of life and
workload. Therefore, further researches are required to identify other factors
that affect the quality of life and workload in hospital staffs.
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Gholamabbas Shirali, Afshin Dibeh Khosravi, Taher Hosseinzadeh, Asad Fathi, Masood Hame Rezaee, Mostafa Hamzeiyan Ziariani,
Volume 2, Issue 3 (12-2014)
Abstract
Introduction: In many
sensitive and sophisticated workplaces, human errors are very important. Many
events occur annually around the world is evidence to confirm error due to the
data processing operators. The main goal of this study was to investigate human
information processing models and workload demands on human operators, then
developing a regression model for this purpose.
Material and Methods: This was a case study. Task analysis of control room
members, including shift supervisor, board man, and site man and user
instrumentation in this study was investigated. Data collection was performed
by interviewing employees using a questionnaire with two parts the first part
was the model of human information processing and the second part was workload
NASA–TLX and an appendix of opinions existing staffing level and finally task
analysis performed using SPSS 16 – SPSS.
Results: There was a correlation between workload and stages of
human information processing model such as perception )r=0.65, p<0.01), vocal response (r=0.45, p<0.01)
and manual response (r=0.15, p<0.05). Some effective factors on workload
were vocal response (β=0.232, p=0.033) and perception (β=0.576, p=0.00). The
most important factors in the analysis of anticipation staffing demand were
perception (β=2.514, p=0.008), workload (β=1.57, p=0.018) and vocal responses
(β=2.428, p=0.01), respectively.
Discussion and Conclusion: Increasing
concentration and attention and perception skills using psychological measures
including decreasing the workload and stress and holding specialized training
courses are necessary.
Naeimeh Asadi, Alireza Choobineh, Sareh Keshavarzi, Hadi Daneshmandi,
Volume 2, Issue 4 (3-2015)
Abstract
Introduction: Manual load lifting is the most common and most
stressful activity in manual handling of loads that imposes the highest
possible amount of biomechanical pressure on the body, particularly on the
spine. The present study was conducted to determine the prevalence of
musculoskeletal disorders and to estimate the mechanical force exerted on the
lower back in workers responsible for manual load lifting.
Material and Methods: The present
cross-sectional study was conducted on 120 workers responsible for manual load
lifting activities in 7 industrial settings in the city of Shiraz. The Nordic Musculoskeletal
Questionnaire (NMQ) was used for determining the prevalence of musculoskeletal
disorders and the 3DSSPP software was used to estimate the forces exerted on
the lower back during load lifting. Data were then analyzed in
SPSS-19.Findings: The results showed that lower back problems constitute the
most prevalent musculoskeletal disorder (68.3%). Evaluations conducted in
3DSSPP showed that in 17.5% of the cases, compressive forces, and in 10.8% of the
cases, shearing forces exerted on the L5-S1 disc were higher in the workers
than the permissible levels. There were no significant differences between the
rate of the prevalence of lower back pain at different levels of compressive
and shearing forces exerted on the disc (p>0/05).
Results: This finding might indicate the limitations of the
method used in this study for conducting a comprehensive assessment of loads
exerted on the spine.
Conclusion: The prevalence of musculoskeletal disorders, in particular
lower back pain, was estimated to be high among the subjects studied. The risk
levels of compressive and shearing forces exceeded the permissible amount in a
low percentage of the workers studied. The 3DSSPP software might have certain
limitations in the assessment of the pressure exerted on the spine.
Raziyeh Morshedi, Matreh Boazar, Davood Afshari, Kambiz Ahmadi Angali, Maryam Malek Zadeh,
Volume 3, Issue 1 (6-2015)
Abstract
Introduction: Manual handling of loads and carrying tasks widely exists in many occupations. Hospital staff because of Manual carrying of loads, are at increased risk of musculoskeletal disorders. Incorrect lifting methods, is an important risk factor for low back pain. The aim of this study was to analyze the biomechanical loads on the lumbar of nurses-aid in manual handling activities of serum cartons 12.5 kg in hospital and provide ergonomic solutions is the prevention of back pain.
Methods: This study was conducted one of the hospitals in Ahvaz city in year 1392. evaluated Postures were sampled through observation and photography. Then load lifting of complex index, was calculated by NIOSH equation and estimate the compressive forces on vertebras L5/ S1 as a quantitative index using software 3 D SSPP, during 2 stages before and after the intervention. The results of tests using Correlation, Regression and T-test were analyzed
Results: The results showed that the highest RWL in the top row 89/9 kg and minimum on the bottom row was 44/5 kg. The highest and lowest compressive force was estimated in the bottom and top rows, respectively, 6727 and 3707 Newton. Results of statistical tests showed significant reduction between the load lifting of complex index(CLI), and the compressive force average before and after the reform is the work station.
Conclusion:Throgh biomechanical analysis of work stations with two methods quantitatively and qualitatively can be made more accurate assessment and ergonomic conditions at work stations can be modified more accurately.
Abdullah Hayati, Afshin Marzban, Mohammad Amin Asoodar,
Volume 3, Issue 3 (12-2015)
Abstract
Introduction: Despite the introduction and development of agricultural mechanization in the dairy farm sector of Iran, many tasks are still performed by manual labor in the country’ dairy farms, including milking, and necessitate poor body postures and movements that help increase the risk of musculoskeletal disorders among hand milking workers.
Material and Methods: The present study was conducted to assess the postural workload of workers during hand milking in the dairy farms of Ramin Agriculture and Natural Resources University and Ramhormoz county. Three milking techniques were assessed, including traditional hand milking, milking stanchion (mobile milking unit) and tandem parlor milking (the double-3 tandem). The postural workloads of 34 male milking workers were evaluated through mixed-methods.
Results: The results obtained showed that hand and stanchion milking require major parts of the body to be in a bent position over 70% of the time due to the operations taking place at a low height from the ground. In contrast, tandem milking required the body to be in a straight position over 90% of the time due to the operations taking place at a substantial height from the ground. Moreover, in terms of finger posture, all three techniques required the workers’ five fingers to be wrapped around different milking tools and parts of the cattle throughout the processes.
Conclusion: Being bent for long periods of time during the process of hand and stanchion milking and standing upright for long periods during tandem milking both caused musculoskeletal disorders of the back and backache for workers of both traditional and mechanized milking. In the case of the finger posture, prolonged repetitive finger postures decrease for milking workers with the increased mechanization of milking.
Zahra Zamanian, Marziyeh Roshan Sarvestani, Mitra Sedaghati, Mahnaz Ghatmiri, Bahram Kouhnavard,
Volume 3, Issue 4 (3-2016)
Abstract
Introduction: Faculty and staff are the pillars of any university. Any impairment in the function of these elements would undoubtedly decrease the quality of education and training services provided. The present study aimed to assess the relationship between subjective workload and job satisfaction in faculty and staff members of universities of medical sciences and universities affiliated to the Ministry of Science, Research, and Technology.
Materials and Methods: This descriptive-analytical study recruited 164 faculty and staff members. Data were collected using a demographic questionnaire, NASA Task Load Index (NASA TLX), and the Job Description Index (JDI). One-way analysis of variance (ANOVA) was applied to analyze the data.
Findings: The participants’ workload had no significant effects on their job satisfaction. Faculty members generally had a heavier workload and lower level of job satisfaction compared to staff members. Moreover, faculty of universities of medical sciences had higher workload and lower levels of job satisfaction (14.5% vs. 30.76%) in comparison to faculty of universities affiliated to the Ministry of Science, Research, and Technology. Moreover, 14.5% of the medical faculty members and 30.76% of science faculty members were satisfied with their jobs. Overall, job satisfaction and workload were not significantly related with demographic characteristics and job features of the participants.
Conclusion: Among the various subscales of workload, faculty members reported high levels of subjective pressure, time pressure, and effort. Therefore, further studies are required to identify the causes of such pressures and introduce measures for their reduction or elimination.
Majid Fallahi, Majid Motamedzade, Zahra Sharifi, Rashid Heidari Moghaddam, Alireza Soltanian,
Volume 4, Issue 3 (12-2016)
Abstract
Introduction: Advances in technology and the use of complex systems at work have imposed high mental workloads to operators; so, continuous monitoring of mental workload can help to prevent mental problems and maintain mental health. Therefore, this study aimed to investigate the impact of mental workload on physiological and subjective responses.
Methods: This cross-sectional descriptive-analytical study was performed on 16 healthy university students in 2014 at a laboratory setting. Physiological parameters of surface electromyography and electrocardiography in six blocks (resting, high mental work, moderate, low, very low and recovery) were measured using NeXus-4. After performing each block, the NASA-TLX questionnaire was completed. Statistical analysis was conducted using SPSS software version 21.0. A 5% significance level was adopted in all the tests.
Results: The results showed significant differences for the average score of NASA-TLX between the different levels of mental work load (P < 0.05). Also, the analysis of repeated measures variance showed significant differences for heart rate and heart rate variability parameters in the six blocks (P < 0.05), but no significant difference was observed for the shoulder muscles activity.
Conclusions: Different levels of mental work load can impact on people's subjective responses and some of their physiological responses. Thus, in such workplaces, it will be necessary to conduct an ergonomic program to manage mental health.
Mojgan Zoaktafi, Seyed Abolfazl Zakerian, Alireza Choobine, Samane Nematolahi,
Volume 4, Issue 3 (12-2016)
Abstract
Introduction: The progress of technology and modern technology has changed today’s workplaces and imposed more mental and cognitive demands to workers. Control room is an example of these workplaces. Currently, assessment of mental workload is a key point in the research and development of human-machine relationships in workplaces. This study aimed to validate an analytical approach in evaluating demanded mental workloads for control room operators in Pars combined cycle power plant.
Methods: This was a fundamental-practical and cross-sectional study. First of all, a task analysis was used to understand the operation steps of control room operators. Then, the Visual, Auditory, Cognitive, Psychomotor (VACP) technique was applied to determine the mental workload demanded for performing each step of the works. Finally, the assigned ratings of the VACP method were validated by the analysis of Pearson’s correlation with the answers of the NASA-Task Load Index (NASA-TLX) questionnaire, collected from the control room operators.
Results: Based on the results, the correlation between the assigned ratings of VACP technique and the answers of the NASA-TLX questionnaire was positive and significant.
Conclusions: Due to the high correlation between the assigned ratings of VACP technique and the answers of the NASA-TLX questionnaire, the proposed VACP technique, which can be carried out in the early stage of the design, was suitable as an analysis tool for predicting metal workloads of control room operators.
Hamidreza Samadi, Reza Kalantari, Fatemeh Mostafavi, Ahmad Zanjirani Ffarahani, Ehsan Bakhshi,
Volume 4, Issue 4 (3-2017)
Abstract
Introduction: Work-related fatigue is a source of concern, even in most industrialized countries. One of the most important factors influencing an employee’s physical and mental condition is the degree to which employees are able to recover from fatigue and stress after work. Factors such as workload can cause fatigue in workers. The aim of this study was using the need for recovery scale to assess workload in mine workers and its relationship with demographics.
Methods: In this cross-sectional study, 80 workers of a mine were surveyed. The data gathering tools used in this study were demographic characteristics questionnaire and the need for recovery scale. The scale assesses the workers workload with 11 two-optioned phrases. Mean, standard deviation, and Pearson’s correlation coefficient and ANOVA tests were used in order for data analysis.
Results: Mean (SD) score of the need for recovery scale was 55.22 (23.93), indicating moderately high workload in the workers. A total of 58.7% of workers experienced high levels of workload. Among the demographics, only body weight had a significant relationship with the need for recovery score (P value = 0.043).
Conclusions: Due to the relatively high need for recovery in the study population, solutions should be employed, such as reducing the workload, use of work-rest schedules, performing heavy tasks within teams, and providing conditions for proper and enough recovery after work, which can increase health conditions of workers.
Mohammad Reza Mortazavi, Kamran Raissi, Seyed Hamed Hashemi,
Volume 4, Issue 4 (3-2017)
Abstract
Introduction: Pilot performance investigation during multi-tasking operations requires a procedure, in which the parameters related to the desired scenario of the simulator are obtained in a systematic manner. The multi-attribute task battery (MATB-II) is a standard simulator of generic piloting tasks developed by national aeronautics and space administration (NASA).
Methods: Employing information theory concepts, baud rate generated in all subsystems of the MATB-II were calculated and then, a unique numerical index presenting an estimation of overall workload was extracted. In the next step, three tests with different levels of workload were conducted to examine the validity of the offered criteria. These tests were performed by a group of subjects on the role of human pilots, while recording their own experiences about perceived workload via NASA-TLX.
Results: The results confirmed that there were significant differences between averages of scores assigned by subjects to the total workload, for three levels of difficulty defined based on information theory (P-value < 0.001). This variable shows considerable growth from low to medium and from medium to high categories of workload level.
Conclusions: The proposed quantitative index is effective enough for determination of workload levels in the MATB-II simulator.
Narmin Hassanzadeh-Rangi, Yahya Khosravi, Ali Asghar Farshad, Hamed Jalilian,
Volume 5, Issue 1 (6-2017)
Abstract
Introduction: Metro driving is one of the newest jobs in Iran. Due to the lack of studies about train drivers’ workload, there is no comprehensive information about factors that effect workload. This study aimed at analyzing the factors that may effect driver workload, in order to recommend control measures.
Methods: In this mixed method study, data generation was done through field observations, document reviews, individual interviews, focus group interviews, and focus group discussions. In order to perform field data collection, the institute for occupational ergonomics and CCD Design and Ergonomics Ltd’s developed tools were used. Directed content analysis was used for qualitative data analysis.
Results: Overall, 65 factors were extracted as the factors that may effect driver workload. The extracted factors were drawn on a fishbone diagram, over 8 categories, including management, supervision and organizational climate, infrastructure, job design, journey, and environmental as distal factors and time pressure, information exchanges, and individual factors as proximal factors.
Conclusions: Some of the distal factors are the nature of an urban transport system, so the only amendment is compensatory programs, and some of them could be resolved by long-term plans. Workload of train drivers could be reduced with a focus on the proximal factors in the short-term, and the distal factors in the long-term.
Tayebe Rahimi Pordanjani, Ali Mohamadzade Ebrahimi,
Volume 5, Issue 2 (9-2017)
Abstract
Introduction: Nurses as the most important part of human resources in the health service system are often faced with problems associated with shift work. The present study aimed to examine a mediating role of sleep quality in the relationship between workload and physical and mental health among nurses.
Methods: This cross-sectional study was conducted on 236 nurses working in three educational hospitals in Bojnord city. To collect data, the survey of shiftworkers (SOS) questionnaire was used. Data were analyzed using the structural equation modeling by AMOS-21 and SPSS 19 software packages. In addition, the Preacher and Hayes’ SPSS Macro program was used for testing mediation.
Results: The results showed that the proposed model fitted the data properly. Also, workload directly affected only physical health, and the quality of sleep had a mediator role in the relationship between workload and physical and mental health.
Conclusions: Sleep quality as an important variable can mediate the relationship between workload and physical and mental health in nurses. So, it is suggested that interventional interventions to improve the health of the staff be focused on adjusting and shifting job shifts and teaching the principles of sleep hygiene to them.
Mehrdad Anbarian, Fatemeh Rajabian, Mohammad Hossein Ghasemi, Rashid Heidari Moghaddam,
Volume 5, Issue 3 (11-2017)
Abstract
Background: The aim of this study was to investigate the effect of the heel wedges on the electromyography activities of the selected left and right lower back muscles during load lifting.
Methods: A total of 17 male subjects voluntarily participated in this quasi-experimental study. The selected subjects lifted a box, weighing 10% of their body weight, above the height of their hip joint, descending as far as the thigh, parallel to the ground, and then ascending to the starting position. The above task was performed nine times in two conditions, including with and without the heel wedges. Using the ME6000 electromyography system, the activity level variables were normalized and the median frequencies of the erector spinae (ES) and the multifidus (MU) muscles were recorded. The subjects also held the box for 30 s in the standing position with stretched hands. The paired t-test was used for the data analysis.
Results: The results showed that during static load lifting using the heel wedge, the median frequency of the right ES muscle changed significantly (P<0.05). Also during dynamic load lifting using the heel wedge, the activities of the left and the right ES muscles as well as the left MU muscle decreased significantly (P<0.05). However, no significant differences between the two conditions were observed for the other variables (P>0.05).
Conclusion: During such occupational tasks, a decrease in the activities of the selected lower back muscles with the heel wedge might result in a delay in the onset of muscle fatigue. The above findings might be used in the design of shoes, suitable for the work environments. However, further investigations are needed in this area in order to provide more accurate results.
Ehsanollah Habibi, Mina Salehi, Ali Taheri, Ghasem Yadegarfar,
Volume 5, Issue 4 (3-2018)
Abstract
Background: Recently adaptive neuro-fuzzy inference system is used for the classification of physical load based on three parameters including %HRmax, HRrest, and body weight. The aim of this study was to optimize this model to reduce the error and increase the accuracy of the model in the classification of physical load.
Methods: The heart rate and oxygen consumption of 30 healthy men were measured during a step test in the laboratory. The VO2max of the participants was measured directly during a maximal treadmill test. A relationship was observed between the calculated %VO2max which is considered as the gold standard of physical load and the model inputs using ANFIS in MATLAB software version 8.0.0. the genetic algorithm was then applied as an optimization technique to the model.
Results: accuracy, sensitivity, and specificity of the model increased after optimization. The average of accuracy accelerated from 92.95% to 97.92%. The RMSE decreased from 5.4186 to 3.1882. Also, in %VO2max estimation, the maximum error of the mode was ±5% after optimization.
Conclusion: The results of this study show that the use of Genetic Algorithm during training process can increase the accuracy and decrease the error of ANFIS model in the estimation of%VO2max. . The advantages of this model include high precision, simplicity and applicability in real-world working environments and also interpersonal differences.
Dr Ehsanollah Habibi, Emad Mirsalimi, Faezeh Darabi, Kamran Ebrahimi,
Volume 6, Issue 4 (3-2019)
Abstract
Background and Objectives: This study focused on lifting drill rods. Drilling is a repetitive and heavy mining operation with a high incidence and severity of musculoskeletal injuries. The purpose of this study was to examine how to lift a vertical drill bit (1.61m and 35kg in height) using two types of rod height and four feet positions, and finally compare them with the Lifting Index (LI).
Methods: Seven workers participated in this study. Each person raised a rod and held it vertically. Reflective markers were installed on each person, and from three cameras and an Ergo-meter plate for record forces and Movement of the limbs. In this case, four positions of the foot and pressures on the lower back were Investigated (position0=to the rod, position45=diagonally to the rod, position90=right side of the bar and free posture). In addition, two positions of the height of the rod were Investigated, at the first, the end of rod was on the ground (height of the rod was 83 m), and in the following the end of rod was on the Basket with height 20cm (rod height of 1.03 m).
Results: The Lifting Index (LI) for each person was equal to 1.4 in the NIOSH lifting equation. It was found that the vertical height of the rod had the greatest effect at the load on the lower back. Some workers use techniques that endure less pressure on their waist.
Conclusion: Finally, it was found that the asymmetric loading Condition (90 ° angle) was the worst case compared to the Lifting index and NIOSH standard.
Zahra Ordudari, Farzane Fadaei, Ehsanolah Habibi, Akbar Hassanzadeh,
Volume 7, Issue 3 (11-2019)
Abstract
Background and Objectives: Musculoskeletal disorders cause about half of all work-related disease, and are the major cause of loss of time, increased costs, and labor injury. This study aims to evaluate the workload and its association with the prevalence of wrist disorders. It was carried out in the assembly workers of a manufacturing industry.
Methods: This cross-sectional study was conducted among 120 female workers employed. Theit mental workload, physical workload and prevalence of wrist MSDs were evaluated using the NASA-TLX, the OCRA method and the Nordic wrist and hand scan questionnaire respectively.
Results: The NASA-TLX showed that the physical demands and effort with mean scores of 78.79 and 78.37 were respectively the most important subjective mental workload (SMWL) scale. Also The results on the basis of the OCRA risk level showed that the highest right-hand risk was at risk level 3 and the highest left-hand risk was at risk level 1 .The Statistical analysis showed that OCRA risk levels and mean scale physical demands and efforts were significantly higher in those with wrist pain than those without pain (P<0.05).There was a direct correlation between the severity of the wrist pain with the OCRA risk index in both hands (P=0.001) and the total score of NASA (r=0.232, P<0.05).
Conclusion: It was revealed that mental load was high in assembly lines of the manufacturing industry and this result was also confirmed by physical evaluation. This study indicated that overall score of SMWL can affect the incidence of MSDs. That is why mental workload should be considered as a risk factor for MSDs.
Fatemeh Rostami, Maryam Feiz Arefi, Amin Babaei-Pouya, Azam Ahangirimehr,
Volume 8, Issue 2 (6-2020)
Abstract
Background and Aim: Nurses are the main staff of the hospital. The large number of clients, the high volume of work and the shortage of staff increase the mental workload of nurses. On the other hand, reducing the control of the work process leads to mental stress. The purpose of this study was to investigate the mediating role of job control and explaining the relationship between job satisfaction and mental workload in nurses.
Methods: This descriptive-analytical study was performed on 188 nurses of educational hospitals in Shushtar and Ardabil cities, Iran, in 2019. Research tools included demographic information questionnaire, NASA-TLX questionnaire, Job description index (JDI) questionnaire, and job control questionnaire. For Data analysis the correlation coefficient and regression analysis with SPSS-18 and AMOS-18 software were used.
Results: Based on the results, the final model had good fitness (GFI=0.859, CFI=0.921, RMSEA=0.067). The results also showed that there is a significant relationship between mental workload and job satisfaction (P<0.001, r=-0.33) and this relationship has increased with the presence of job control (P<0.001, r=-0.42).
Conclusion: High levels of job control are associated with increased job satisfaction and reduced workload. As a result, in order to reduce the mental workload and increase job satisfaction, job control of nurses can be increased to improve working conditions.
Ghazale Sadeghzade, Somaye Rahmati, Fatemeh Sadeghi, Amjad Mohammadi Bolbanabad, Ebrahim Darvishi,
Volume 9, Issue 2 (10-2021)
Abstract
Background & Objectives: The pandemic and the crisis caused by the COVID-19 have challenged health care organizations around the world, causing human casualties and health concerns around the world and in Iran. The purpose of this study was to evaluate the mental workload and job burnout of medical employees during the Covid-19 pandemic in Iran.
Method: The present descriptive-analytic research has been conducted on 510 medical and diagnostic staff in the cities of Tehran, Isfahan, and Sanandaj. The mental workload and the job burnout of staff have been evaluated using NASA-TLX software and the job burnout Maslach, respectively. Statistical tests including t-test, ANOVA, and multivariate linear regression were used to analyze the data using a STATA-14 software package.
Results: The mean mental workload of employees associated with patients suffering COVID-19 and those not associated was estimated at 83.7±8.1 and 79.9±9.6 respectively. The mean of job burnout was estimated at 79.6±16.2 and 79.7±16.9, respectively, which were not statistically significant. The results of linear regression showed that being married (coefficient = -6.57, P value=0.003), employment as a Tarh (coefficient = -12.71, P value=0.002), inverse relationship and Work in Isfahan hospitals (coefficient = 21.21, P value<0.001) was directly related to burnout. Women (coefficient = 3.61, P value<0.001), having a relationship with COVID-19 patients (coefficient = 5.9, P value<0.001) had a direct relationship with the amount of mental work.
Conclusion: The mental workload and job burnout in medical employees during the COVID-19 pandemic are high, and warning and the mental workload in employees associated with patients suffering COVID-19 are higher than other employees.
Mohammad Sadegh Ghasemi, Ehsan Garosi, Naser Dehghan, Maryam Kaboli,
Volume 9, Issue 4 (3-2022)
Abstract
Background and Objectives: A high workload is a major challenge to health care workers, especially first- line supporters, like nurse assistants, and this has many negative consequences. This study aimed to identify the factors affecting the workload of nurse assistants in one of Tehran hospitals.
Methods: The research is descriptive- qualitative using qualitative content analysis, with the participation of 13 nurse assistants selected by purposive sampling. Data were collected through semi- structured interviews and after each interview, the data were loaded and analyzed in MAX QDA software and this process continued until data saturation. Please match the last sentence with the farsi version.
Results: In the findings of continuous data analysis, a total of 473 codes were found in the factors affecting workload in the process of nurse assistants' work system. Finally, they were classified into five categories of Systems Engineering Initiative for Patient Safety model (person, task, organization, tools, equipment and environment).
Conclusion: Most factors affecting workload are obtained in the organizational component and the least in the environmental component of the Systems Engineering Initiative for Patient Safety model, which indicates the significant role played by interpersonal relationships in the workplace and hospital rules on the workload of nurse assistants.
Davood Afshari, Maryam Nourollahi-Darabad, Noorollah Karimi, Maryam Seyed Tabib,
Volume 10, Issue 1 (7-2022)
Abstract
Objectives: Nurses are at the front line of treatment and coping with COVID-19 pandemic. Therefore, the present study investigates the pandemic’s impact on nurses ’mental workload and determines its predictive factors.
Methods: This descriptive-analytical study was done on 234 nurses in two groups working at COVID-19 and non-COVID-19 wards in 2020. The criteria for entering the study were the absence of psychological problems. Data was gathered using the General Health Questionnaire, NASA-TLX, and Demographic Questionnaire.
Results: The mean of the overall mental workload score in the group of nurses working at the Covid-19 wards (70.09 ± 2.51) was higher than the group of nurses working in the non-COVID-19 wards (66.55 ± 2.02). This difference was significant (P = 0.01). There was a significant difference between the mean score of the mental demand, the physical demand, the temporal demand, and the frustration level of the two groups. With the exception of performance, the group of nurses working in the corona ward had a higher mean score in all aspects. In the proposed linear model, 16% of the overall changes in mental workload depended on two variables, which were age and work experience. The work experience was the most influential factor in predicting nurses' mental workload.
Conclusion: The findings of the present study showed the importance of paying attention to the mental workload of nurses as well as personal and occupational factors affecting mental workload in the conditions of the COVID-19 pandemic. Therefore, control and management of effective factors can help reduce mental workload, especially during pandemic conditions.
