Showing 4 results for Roudi
M. Omidvari, M. R. Gharmaroudi,
Volume 5, Issue 3 (9-2015)
Abstract
Introduction: Occupational accidents are of the main issues in industries. It is necessary to identify the main root causes of accidents for their control. Several models have been proposed for determining the accidents root causes. FTA is one of the most widely used models which could graphically establish the root causes of accidents. The non-linear function is one of the main challenges in FTA compliance and in order to obtain the exact number, the meta-heuristic algorithms can be used.
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Material and Method: The present research was done in power plant industries in construction phase. In this study, a pattern for the analysis of human error in work-related accidents was provided by combination of neural network algorithms and FTA analytical model. Finally, using this pattern, the potential rate of all causes was determined.
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Result: The results showed that training, age, and non-compliance with safety principals in the workplace were the most important factors influencing human error in the occupational accident.
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Conclusion: According to the obtained results, it can be concluded that human errors can be greatly reduced by training, right choice of workers with regard to the type of occupations, and provision of appropriate safety conditions in the work place.
Mehran Pourhossein, Reza Pourbabaki, Elahe Roudi, Vahid Ahmadi Moshiran, Homa Maleck Khani, Samane Khodaverdloo,
Volume 10, Issue 4 (11-2020)
Abstract
Introduction: Errors are a byproduct of human information processing or cognitive functioning. Although everyone is disposed to an error while performing various activities, individual differences in cognitive abilities can lead to various types and rates of errors committed in similar situations. Human errors are one of the most important challenges in work environments, including health care systems, wherein such errors are abundantly occurring. Errors in the delivery of correct medications due to the resemblance in appearance and name are thus one of the cognitive errors that come about in health care systems. The main purpose of this systematic review was to evaluate evidence and approaches recently practiced to reduce medication errors caused by the use of look-alike-sound-alike (LASA) medications.
Material and Methods: The study was conducted on August 30, 2018, through searches in the databases of PubMed and Embase, all available years, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) instructions. The searches were done in the titles or abstracts of the articles using the intended terms and the Medical Subject Headings (MeSH) index in combination. These studies were selected based on the inclusion and exclusion criteria and then categorized based on the type of interventions and outputs. Finally, the data were analyzed descriptively.
Results: The research designs and methods varied widely among the studies. There were also discrepancies in the number of participants, number of tests, type of medications, and test conditions. The approaches examined in these studies were tall-man lettering, color-coding, label background variations, and use of signs and symbols. Accordingly, 11 studies had utilized tall-man lettering and the most important reported in all articles were “error rate” and “response times”. As well, a wide range of medication names had been tested. It should be noted that medication
Conclusion: errors have different dimensions, but the errors caused by the look-alike-sound-alike (LASA) medications and the effect of tall-man lettering of medication name were only investigated in the present study. Laboratory studies in this respect have shown that tall-man lettering contributes to mitigating the rate of errors, which might be due to the better legibility of labels, but evaluations in real work environments are needed to reinforce this conclusion. There is also insufficient evidence to support color-coding, as well as several other approaches such as use of signs and symbols. Because of the novelty of the studies in this field, no uniform mechanism has been so far introduced.
Monireh Khadem, Elham Kazemi Rad, Mohammad Reza Monazzam Esmaeilpoor, Maryam Mirzaei Hotkani, Sajjad Mozaffari, Amir Abbasi Garmaroudi,
Volume 12, Issue 1 (3-2022)
Abstract
Introduction: One of the most important complications of exposure to noises is changes in the gene expression patterns. Irreversible damage to the inner ear, such as noise-induced hearing loss (NIHL), is caused by tissue damage and changes in the gene expressions in the auditory system. Changes in the GJB2 gene expression pattern lead to autosomal deafness at different loci. The present study aims to evaluate the GJB2 gene expression in cochlear tissue exposed to white noise.
Material and Methods: In this study, ten male Westar rats were divided into two experimental (W1, W2) groups of six rats and a control (normal) group of four rats. Two experimental groups were exposed to constant white noise in the frequency range of 100-20000 Hz and the sound pressure level of 118-120 dB. In order to study the histology and gene expression, after a cochlea biopsy, the histological tests, RNA extraction, cDNA synthesis, and qRT-PCR analysis were performed.
Results: The results showed that the transcript level of GJB2 was significantly decreased in both experimental groups W1 and W2 by 0.02 and 0.12-fold, respectively (p <0.05). Also, the results of the histological study showed that cochlear tissue was more seriously damaged in the W1 group than W2.
Conclusion: It can be concluded that a significant reduction in the GJB2 gene expression and irrevocable damage to auditory nerve ganglion and Reissner membrane (vestibular membrane) caused changes in the gene expression patterns in cochlear tissue and developed the risk of non-syndromic sensorineural hearing.
Tahereh Pourtalemi, Abdolhossein Emami Sigaroudi, Mahmoud Heidari, Nasrin Mokhtari Laleh, Ehsan Kazem Negzhad Leyli,
Volume 13, Issue 1 (3-2023)
Abstract
Introduction: Nurses are under the influence of stressful factors and high work pressure, which increases nursing errors. One factor affecting nurses’ behavior and performance is the mental workload and cognitive failures. This research has investigated the mental workload and cognitive failures in two groups of nurses with and without unsafe behaviors during the outbreak of Covid-19.
Material and Methods: This case-control study was conducted on 312 nurses during the severe period of the Covid-19 outbreak through the public hospitals in Guilan province. Sampling was performed by selecting 104 nurses in the case group (with unsafe behavior) and 208 nurses in the control group (with safe behavior) using the full count method. The data collection tool is a three-part questionnaire including demographic information, the mental workload (NASA-TLX) questionnaire, and the occupational cognitive failures questionnaire. The incidence of needle stick as a consequence of unsafe behavior was used as a criterion.
Results: The results have shown that the workload in this research was 63.96±18.26, and the total score of cognitive failures was 59.1±13.9. There was no statistically significant difference between the two groups of nurses with and without unsafe behaviors (P>0.05). Still, there was a significant correlation between the total mental workload score in all areas and the total score of cognitive failures in the group of nurses with and without unsafe behaviors (p=0.001, r=0.225).
Conclusion: According to the results, the perceived mental workload is high for the nursing job. Despite of positive correlation between mental workload and cognitive failures, it can be mentioned that there are two-way interactions through their dimensions. Therefore, the nursing job requires adopting optimal engineering and management strategies to reduce the workload.
