Showing 4 results for Etemad
Mostafa Pouyakian, Mahnaz Saremi, Korosh Etemad, Hamid Shafagh,
Volume 8, Issue 3 (9-2018)
Abstract
Introduction: Pharmacies are one of the main elements of the service chain in the health system in each country. Therefore, it is important to identify characteristics of the job as well as the health issues of the employees of this business. The aim of the current study was to investigate the ergonomic issues of pharmacies.
Material and Method: This qualitative study was conducted using content analysis during a 5- month study in the pharmacies of Maragheh city, Iran. Data was collected using focus group discussion. Thirty individual including 12 Pharmacists, 12 pharmacy technicians and 6 inspectors of deputy of the food and drugs office participated in five meetings. Data analysis was carried out simultaneously using the conducted content analysis.
Result: Using content analysis method 23 ergonomic issues were identified in the studied pharmacies. These issues were categorized into three broad categories based on the classification of the International Ergonomics Association (physical, cognitive, and organizational issues). The results showed that from ergonomic point of view, different issues of all three categories such as work postures, work space and layout, mental workload and work-rest schedules are of great importance for staffs. Some issues were more emphasized by personnel, themselves.
Conclusion: Unlike what appears at first, pharmacies as a work environment have multiple issues related to workforce health. Therefore, the occupational health and ergonomic evaluation of pharmacies that has been neglected should be taken into account by ergonomic researchers. Also, interventions to promote the ergonomic level of pharmacies require attention to all aspects of ergonomics. The results of this study can be used as a basis for promoting the regulations of establishment and utilization of pharmacies as well as ergonomic assessment of them.
Milad Abbasi, Siavash Etemadinezhad, Ahmad Mehri, Maryam Ghaljahi, Rohollah Fallah Madvari, Roghayeh Jaffari Talaar Poshti,
Volume 10, Issue 2 (5-2020)
Abstract
Introduction: Although noise characteristics such as intensity and frequency are the main cause of detrimental effects, it is important to pay attention to the personality traits of individuals as the host of adverse health effects. The aim of this study was to investigate the effect of personality traits on sensitivity, annoyance and loudness perception due to exposure to high frequency sound.
Material and method: This interventional and experimental study was carried out among 80 undergraduate and postgraduate students in 2017. First, examinee were exposed to a high frequency noise at 65 dBA for one hour in an acoustic room. Then, to determine amount of annoyance, sensitivity, loudness perception and to investigate personality traits, questionnaire of noise annoyance, noise sensitivity, loudness perception and Eysenck personality inventory was used, respectively. Finally, Chi-square, independent t-test and multivariate analysis of variance (MANOVA) were used to data analyze.
Results: The mean±SD of sensitivity, annoyance and loudness perception were 54.08±7.71, 7.0±1.53, and 2.79±1.13, respectively in this study. The mean scores of sensitivity, annoyance and loudness perception were significantly different in terms of personality traits, so that their average was higher in the neurotic and introverted. Based on MANOVA test results, personality traits had a significant effect on sensitivity, annoyance and loudness perception of individuals. In a way, the neuroticism and introversion had the greatest effect on the sensitivity and annoyance, respectively.
Conclusion: The results of this study showed that personality traits such as introversion and neuroticism can affect the sensitivity, annoyance and loudness perception of individuals.
Zahra Alizadeh, Mostafa Pouyakian, Koorosh Etemad,
Volume 12, Issue 2 (6-2022)
Abstract
Introduction: Human beings are inherently different and this fact can affect his/her behavior in work environments. The aim of this study was to examine the individual differences of employees (personality traits, biological and demographic factors) as a predictor of unsafe behaviors in a turbine manufacturing company.
Material and Methods: In this cross-sectional study, safety behavior sampling technique, NEO-FFI questionnaire, demographic information questionnaire, BMI and cell type method were used to determine unsafe behaviors, personality traits, demographic variables, body mass index and blood group system, respectively. The statistical sample of the study was 260 employees of a turbine manufacturing industry. The SPSS software version 20 was used to analyze the data.
Results: The results showed that 44.5% of employees’ behaviors were unsafe. There was a significant relationship between the occurrence of unsafe behaviors with smoking, BMI, blood type and neuroticism and agreeableness dimensions measured by NEO-FFI (p < 0.05). BMI was the most important predictorof unsafe behaviors in the present study.
Conclusion: Due to the role of individual differences in people’s tendency to unsafe behaviors, the results of this study can be considered in job design, screening of personnel according to their individual differences, and perform better interventions to prevent accidents at work.
Mehran Maleki Roveshti, Zahra Naghavi-Konjin, Siavash Etemadinezhad, Jamshid Yazdani Charati,
Volume 14, Issue 1 (3-2024)
Abstract
Introduction: Steel erection is known as one of the most hazardous construction activities. From an occupational health and safety perspective, this process carries high risk. Therefore, this study aims to conduct a qualitative risk analysis of steel structure assembly and model it using the Functional Resonance Analysis Method (FRAM).
Material and Methods: In this cross-sectional study, the construction site of a high-rise building steel structure was first visited to identify the main processes involved. Then, semi-structured and open-ended interviews were conducted with 33 workers partaking in this process. Data from the interviews and process identification were entered into FRAM Model Visualiser (FMV) software to investigate and model complex relationships and interactions between daily tasks.
Results: Of the 19 major system component functions identified, four functions had potential instability and defects due to complex human, organizational, and technological function interactions. By intensifying the FRAM graphic model, risks may be imposed on the system if the interactions of these four functions are neglected. These include coordination with the experienced rigger, preparation of the tower crane, attachment of parts at the installation site, and execution of the rescue rope.
Conclusion: The findings demonstrate that conducting qualitative risk assessment and modeling the steel frame construction process using FRAM allows for an in-depth understanding of nonlinear conditions and dynamics resulting from escalating technical-social interactions. This approach enables a comprehensive analysis of system safety status.
