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Showing 3 results for Eskandari
Evaluation and Analysis of Human Error in the Use of Equipment Using PUEA Technique and Fuzzy Logic
Iraj Mohammadfam, Tahere Eskandari, Maryam Farokhzad,
Volume 6, Issue 3 ( Iranian Journal of Ergonomics 2018)
Abstract
Background and Objectives: The main cause of incidents is human error. The occurrence of these errors in the use of medical equipment can result in harm to the patient, the destruction of equipment, the imposition of economic damages, and the deterioration of the credentials of the health sectors. Hence, the identification, evaluation and management of errors in the use of these equipment is very critical. The present study was conducted to reduce the risk of human errors in using a medical device in one of the hospitals in Iran.
Methods: The study subject was a ventilator device, which was selected considering the high usage and the criticality of its use in hospitals. Identification and evaluation of human error were performed using the PUEA technique, as well as quantification of errors, and reduction of uncertainty in estimating the significance of detected human errors using fuzzy logic.
Results: Based on the findings, 33 errors were detected in the use of the ventilator device. The most common types of errors were the type of error in operation. (72.72%). The most important causes of errors were slips and lapses (42.42%). The main primary consequences for the predicted errors were the device not being sterilized and the possibility of transmission of microbes to patients. In 42.42% of the cases, errors were not recoverable. The results of the PUEA technique and fuzzy logic showed that there is no relationship between the type of error, frequency of its occurrence, and the probability of error occurrence.
Conclusion: In human error studies, the combined use of risk identification techniques and a quantitative approach that determines the probability of identified errors can reduce uncertainty in the final results.
 
Investigating the Relationship of Work-related Stress and Work Fatigue with the Prevalence of Skeletal-muscular Disorders in Pre-hospital Emergency Staff in Saveh in 2023
Esmaeil Hani, Maryam Rafiee, Tahereh Eskandari,
Volume 11, Issue 3 (Iranian Journal of Ergonomics 2023)
Abstract
Objectives: Pre-hospital emergency workers who are responsible for providing essential pre-hospital medical services are exposed to physical and mental disorders. Since musculoskeletal disorders can be affected by work-related stress and fatigue, the present study aimed to assess the relationship of work-related stress and fatigue with the prevalence of musculoskeletal disorders in pre-hospital emergency workers in Saveh.
Methods: This descriptive-analytical cross-sectional study was conducted in 2023. A total of 88 personnel of urban and road pre-hospital emergency centers in Saveh were included in the study by the census method. Data collection tools were the Health and Safety Executive (HSE), Multidimensional Fatigue Inventory (MFI-20, and Nordic Musculoskeletal Questionnaire. Data were analyzed in SPSS software (version 22) using independent t-tests, analysis of variance, Poisson regression, and Pearson correlation coefficients.
Results: The most common areas involved in musculoskeletal disorders were back (34.1%; n=30), neck (19.3%; n=17), and upper back (19.3%; n=17). Moreover, mean scores of work-related stress and work fatigue were 113.52±4.09 and 62.95±5.06, respectively. Musculoskeletal disorders showed a significant relationship with marital status, workplace, age, work experience, and number of working hours (P≤0.05). Nonetheless, there was no significant relationship between work-related stress and work fatigue (P=0.28), musculoskeletal disorders and work-related stress (P=0.93), as well as musculoskeletal disorders and work fatigue (P=0.44).
Conclusion: The prevalence of skeletal-muscular disorders was relatively high, and considering that these disorders are more frequently observed in married people and those who work on the road, training should be provided to these workers according to their place of work. The risk of developing skeletal-muscular disorders increases with age and work experience. Therefore, it is necessary to take precautions in this regard. Furthermore, since skeletal-muscular disorders increase with an increase in working hours, it is necessary to adjust working hours and avoid long shifts.

Relationship of Stress and Insomnia with Depression among Health Care Workers in Hamadan, Iran: Application of Path Analysis
Salman Khazaei, Mobin Faghih Soleimani, Saman Khosronejad, Ali Safdari, Ensiyeh Jenabi, Shokoufeh Eskandari, Erfan Ayubi,
Volume 12, Issue 1 (Iranian Journal of Ergonomics 2024)
Abstract
Objectives: Various causal pathways play a role in the occurrence of depression in healthcare workers. This study aimed to assess the effect of perceived stress and insomnia on depression in healthcare workers using path analysis in Hamadan, Iran.
Methods: In this cross-sectional study, healthcare workers from Shahid Beheshti and Sina hospitals in Hamedan in 2023 were recruited. Perceived stress with two subscales of perceived helplessness and perceived self-efficacy, as well as insomnia and depression, were investigated using validated questionnaires. The path analysis was applied to assess the association.
Results: In total, 235 healthcare workers (35.7% nurses) were included. Gender, age, monthly working hours, and number of night shifts per month had a significant impact on depression (P<0.05). Path analysis demonstrated that except for the effect of perceived self-efficacy on insomnia, all standardized regression weights for relationships were statistically significant (P<0.05). The effect size of perceived helplessness on depression was the strongest compared to other relationships (standardized regression weight = 0.40). The direct effect of perceived helplessness and perceived self-efficacy on depression or insomnia as a mediator had a good fit to the data.
Conclusion: As evidenced by the obtained results, with the implementation of intervention and preventive programs to reduce stress and improve sleep, the occurrence of depression in healthcare workers is expected to decrease significantly.

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