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					<header>
						<identifier>45-1079</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
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							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
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								<journal_article publication_type="full_text">
									<titles>
										<title>Computer assisted instruction during quarantine and computer vision syndrome</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>Anahita</given_name>
					<surname>Hashempoor</surname>
					<email>anahitahashempoor76@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Computer vision syndrome (CVS) is a set of visual, ocular, and musculoskeletal symptoms that result from long-term computer use. These symptoms include eyestrain, dry eyes, burning, pain, redness, blurred vision, etc, which increase with the duration of computer use. Currently, with the closure of schools and universities due to the continued COVID19 pandemic many universities have taken the process of online education courses and the use of mobile phones, tablets، computer monitors and e-readers is increasing day by day. CVS not only reduces study and learning quality and productivity of the students, but it also has a high economic burden by increasing musculoskeletal injuries and ophthalmologist visits due to visual and ocular symptoms. With the expansion of online education programs, it is necessary for students to be aware of these complications, as well as to teach them appropriate strategies to control and prevent these harmful effects of computers.
			</abstract>
				<keywords>
	<keyword>computer assisted instruction</keyword>
	<keyword>dry eye syndrome</keyword>
	<keyword>ocular symptoms</keyword>
	<keyword>· asthenopia</keyword>
	<keyword>tablet</keyword>
	<keyword>vision disorders</keyword>
	<keyword>ocular congestion</keyword>
	<keyword>computer vision</keyword>
	<keyword>reading</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>1</first_page>
								  <last_page>2</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1079-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4981 </doi>
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				<record>
					<header>
						<identifier>45-1057</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
					<metadata>
						<cr_unixml:crossref xmlns="http://www.crossref.org/xschema/1.0"
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							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Identification and Evaluation of Human Errors in Nurses in Different Wards of Yazd Madar Hospital Before and After Proposed Control Strategies Using SHERPA Method in 2019</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>Reza</given_name>
					<surname>Jafari Nodoushan</surname>
					<email>jafarinodoushan@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name>Gholam hossein</given_name>
					<surname>Halvani</surname>
					<email>halvanig@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>Farzaneh</given_name>
					<surname>Firouzi</surname>
					<email>f.firoozi@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction: Despite widespread efforts to reduce human error in different occupations, unsafe practices and behaviors are still the main cause of many accidents. The occurrence of medical errors in health care systems as one of the most important factors in decreasing the quality of services in this field has received much attention in recent years. Therefore, this study aimed to identify and evaluate all kinds of human error among nurses of Yazd Mother hospital. 
Materials and Methods: This cross-sectional and descriptive-analytical study was conducted at Yazd Mother hospital in 2019. All nursing duties in gynecology, infertility, emergency, neonatal intensive care, and in vitro fertilization were identified and subdivided using hierarchical task analysis (HTA) and then analyzed using SHERPA method. 
Results: The highest number of errors was in a gynecology (83), infertility (73), emergency (54), neonatal intensive care (31) and in vitro fertilization, respectively. The highest percentage of errors was related to performance in all sectors. The least frequent error was selection error.
Conclusion: The results of this study showed that functional errors account for a large proportion of errors, which should be the priority of control strategies in each segment for these types of errors in order to prevent such errors. The magnitude of the errors identified after the proposed control solutions in all sections indicated the fact that acceptable solutions can be achieved by applying these strategies.
			</abstract>
				<keywords>
	<keyword>Human Error</keyword>
	<keyword>Hospital</keyword>
	<keyword>Nurse</keyword>
	<keyword>SHERPA</keyword>
	<keyword>Control Strategies</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>3</first_page>
								  <last_page>13</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1057-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4982</doi>
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					<header>
						<identifier>45-1070</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
					<metadata>
						<cr_unixml:crossref xmlns="http://www.crossref.org/xschema/1.0"
							xsi:schemaLocation="http://www.crossref.org/xschema/1.0 http://www.crossref.org/schema/unixref1.0.xsd">
							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Investigation of relationship between post-traumatic stress disorder and quality of life among firefighters in Birjand City at 2018</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>Mahmood</given_name>
					<surname>Sadeghi khorashad</surname>
					<email>sadeghi_1386@bums.ac.ir</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name>ehsan</given_name>
					<surname>rezaieyan</surname>
					<email>e.rezaieyan@modares.ac.ir</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>amirehsan</given_name>
					<surname>abdolahnezhad</surname>
					<email>ehsan.avatar@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction:&#160;Firefighters are at high risk of developing post-traumatic stress disorder (PTSD), and that Quality of Life (QoL) is seriously compromised in individuals who have PTSD. This study was designed to assess the relationship between post-traumatic stress disorders and quality of life among firefighters.
Materials and Methods:&#160;In this analytical and cross-sectional study, all firefighters in Birjand city were selected by census method (N = 96) in 2018. PTSD and QoL status was assessed by the Persian version of the Mississippi (Eshel) and WHOQOL-BREF questionnaires, respectively. Using Cronbach&#39;s &#945;, the Iranian version of these two scales&#39; internal reliability has been reported to be 0.92 and more than 0.7, respectively. Data analysis using SPSS software version 21 and independent T-test, ANOVA, Tukey&#39;s test, and Pearson correlation coefficient were used for statistical analysis.
Results:&#160;The results showed that most firefighters (70.5%) were suffered from moderate PTSD symptoms (79.2&#177; 11.7). Based on the self-report scale, 53.7% of the firefighters rated their quality of life as Good, and 43.2% of the firefighters were satisfied with their health. Statistical analysis showed that there is a statistically significant inverse relationship between PTSD score and areas of mental health (P = 0.03), social relations (P = 0.002), and environmental health (P = 0.004). Between PTSD score and physical health, no statistically significant relationship was found (P = 0.08).
Conclusion:&#160;This study has proven a high rate of PTSD among firefighters and its negative correlation with the quality of their life. However, most firefighters rated their health and quality of life as good. Implementing strategies to combat mental disorders among firefighters improves the quality of their life and increases their job productivity.
			</abstract>
				<keywords>
	<keyword>Post-Traumatic Stress Disorder</keyword>
	<keyword>Quality of Life</keyword>
	<keyword>Firefighters</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>14</first_page>
								  <last_page>25</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1070-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4983</doi>
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					<header>
						<identifier>45-1049</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
					<metadata>
						<cr_unixml:crossref xmlns="http://www.crossref.org/xschema/1.0"
							xsi:schemaLocation="http://www.crossref.org/xschema/1.0 http://www.crossref.org/schema/unixref1.0.xsd">
							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Risk assessment of mortality from silicosis and lung cancer Workers in machine factories and traditional brick production workshops with crystalline silica</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>mansour</given_name>
					<surname>azari</surname>
					<email>sahatfardi@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name>fatemeh</given_name>
					<surname>sahatfardi</surname>
					<email>sahatfardi@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>fatemeh</given_name>
					<surname>zarei</surname>
					<email>zarei65@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="4">
					<given_name>alireza</given_name>
					<surname>Ebrahimi hariri</surname>
					<email>sahatfardi@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="5">
					<given_name>sosan</given_name>
					<surname>salehpour</surname>
					<email>sahatfardi@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="6">
					<given_name>hamid</given_name>
					<surname>sori</surname>
					<email>sahatfardi@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction:&#160;Exposure to dust is an essential factor in the brick production industry. Determining the mortality rate from silicosis and lung cancer is very important in exposure to crystalline silica dust. Therefore, this study was conducted to risk assessment of workers in machine factories and traditional brick production workshops.
Materials and Methods:&#160;This cross-sectional study was conducted in 2016 in a machine factory and five traditional active brick production workshops located in the southeast of Tehran. All employees of a brick-making machine factory (40 people) and five traditional brick-making workshops (30 people) were selected by census sampling. Their exposure to total respiratory dust and respirable crystalline silica was evaluated by the NIOSH0600 method and NIOSH7602 optimal method. Mortality risk assessment from silicosis and lung cancer was performed based on Mannetej and Rice models. Data were analyzed by t-test after entering SPSS19 software.
Results:&#160;The average concentrations of crystalline silica and total respiratory dust in traditional workshops are 0.651 &#177;0.69 and 28.27 &#177; 23.05, and in a machine factory are 0.297&#177; 0.27 and 17.6 &#177;8.6 mg / m3. The T-test showed a significant difference between the traditional and mechanical brick factory in occupational exposure to total respiratory dust (P=0.001). However, no significant difference was observed in exposure to crystalline silica (P=0.107). In both traditional and machine brick factory, the risk of death from silicosis and lung cancer is unacceptable.
Conclusion:&#160;The results showed that the industry&#39;s mechanization has reduced exposure to total respiratory dust and crystalline silica and reduces the risk of death from lung cancer. But the risk of death from lung cancer and silicosis is still high in both traditional and mechanical factories
&#160;
			</abstract>
				<keywords>
	<keyword>brick factory</keyword>
	<keyword>crystalline silica</keyword>
	<keyword>total respiratory dust</keyword>
	<keyword>Risk assessment</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>26</first_page>
								  <last_page>34</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1049-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4984</doi>
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					<header>
						<identifier>45-1022</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
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							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Changes in the hearing threshold of workers in a steel industry: 5-year follow-up</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>Seyed Roholah</given_name>
					<surname>Miri</surname>
					<email>roholahmiri@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name>Ahmad Reza</given_name>
					<surname>Zamani</surname>
					<email>arzamani2005@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>Athareh</given_name>
					<surname>Nasri</surname>
					<email>atharehnasri@yahoo.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="4">
					<given_name>Hadi</given_name>
					<surname>Hadizadeh goki</surname>
					<email>hadihadizadeh@yahoo.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction: noise is one of the most important harmful factors in the workplace. The physiological effects of noise on humans are gradual in the long run. Despite industrial advances, exposure to excessive noise is one of the health problems of workers in the world&#39;s steel industry. This study aimed to investigate the effect of noise on hearing loss in steel industry workers.
Materials and Methods: This descriptive cross-sectional study was designed and conducted. The study population was 121 workers in a steel rolling industry whose 5-year audiometry was studied from 1391 to 1395. An audiometer performed the audiometric test of these workers in 5 years. Their audiometric results were extracted from their medical records and examined under ethical principles. Data were analyzed using SPSS software version 21, and T-Test and Wilcoxon Signed Ranks Test was used for statistical analysis.
Results: The mean age of participants was 38.88 &#177; 4.92 years and the mean work experience was 10.94 &#177; 3.57 years. In this study, a gradual increase in the average hearing threshold at different frequencies in both ears was seen from 2012 to 2016.
Conclusion: noise as a detrimental factor in the steel industry causes a gradual increase in exposed workers&#39; hearing threshold.
&#160;
			</abstract>
				<keywords>
	<keyword>Noise Induced Hearing Loss</keyword>
	<keyword>Steel Industry Workers</keyword>
	<keyword>Noise</keyword>
	<keyword>Noise Exposure</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>35</first_page>
								  <last_page>43</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1022-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi> 10.18502/tkj.v12i3.4985</doi>
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				<record>
					<header>
						<identifier>45-1053</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
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								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Spirometric evaluation of pulmonary function in Yazd’s dental laboratory workers in 1398</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>Mahnaz</given_name>
					<surname>Hatami</surname>
					<email>mahnazhatami@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name></given_name>
					<surname></surname>
					<email></email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>Amir</given_name>
					<surname>Kouchakzadeh</surname>
					<email>amirkouchakzadeh1374@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction: Spirometry is used as a screening method for occupational lung diseases. Dental laboratory workers are exposed to solvent vapors, toxic gases, and dust from metal alloys, acrylics, and gypsum. This study aimed to investigate the spirometric function of lung function in dental staff in Yazd.
Materials and Methods: This descriptive cross-sectional study was performed on 37 technicians of dental laboratories in Yazd in the three months of spring 2017. To evaluate respiratory problems and their pulmonary function, standard respiratory and spirometry questionnaires according to ATS / ESR guidelines were used, respectively. Data were analyzed by SPSS software version 18 using Mann-Whitney U, Chi-square, and Student&#39;s T-test.
Results: Mean age of participants was 35.59&#177;1.13. 54% of participants had no respiratory symptoms. The most common respiratory complain were dry and exudative cough. The work field was the only influential factor in FVC%. Age and work experience, and exercise no significant effect on respiratory parameters. Overall spirometry parameters were in the normal pattern range, and only 5% of participants showed a mild restrictive pattern.
Conclusion: Spirometric pulmonary function of Yazd&#39;dental laboratory technicians was in the normal range, and possibly working in the dental laboratory did not have a significant effect on the pulmonary Function of technicians based on spirometric indices.

&#160;
&#160;
			</abstract>
				<keywords>
	<keyword>Spirometry</keyword>
	<keyword>Pulmonary Function</keyword>
	<keyword>Dental Laboratories</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>44</first_page>
								  <last_page>52</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1053-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4986</doi>
								  <resource></resource>
							  </doi_data>
							  <citation_list>
							  </citation_list>
						  </journal_article>
					  </journal>
				  </cr_unixml:crossref>
			  </metadata>
			</record>
				
			
				<record>
					<header>
						<identifier>45-1014</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
					<metadata>
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							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Comparison of error tree analysis and TRIPOD BETA in accident analysis of a power plant industry using hierarchical analysis</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>Afarin</given_name>
					<surname>Akhavan</surname>
					<email>akhavan@sau.ac.ir</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name>Hashem</given_name>
					<surname>Karimi</surname>
					<email>jeykey@yahoo.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>Gholamhossein</given_name>
					<surname>Halvani</surname>
					<email>halvani39@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction:&#160;Due to the importance and necessity of accident analysis, it is necessary to use the proper technique for precise accident analysis and provide corrective and preventive measures to prevent an accident&#39;s recurrence.
Materials and Methods:&#160;In this descriptive-analytical paper, the most important criteria for investigating and selecting accident investigation and analysis techniques and selecting the best accident analysis method were identified in critical industrial accidents in the construction phase, were identified and analyzed. In this study, the most important criteria for selecting an accident analysis method were identified using previous research and gathering expert opinions. Then, two critical power plant accidents were analyzed using TRIPOD BETA and FTA accident analysis methods. Then the pairwise comparisons matrix was formed based on the strengths and weaknesses of the models. Finally, the prioritization of these two methods was done using the hierarchical analysis decision-making method.&#160;
Results:&#160;In this paper, seven key factors, model realism, model descriptive, systematic modeling, run time, required training courses, ability to quantify, and visibility of events, were identified as the most important criteria for selecting an incident analysis method.
Conclusion:&#160;The TRIPOD BETA method has been introduced as an optimal method for investigating specific events due to its capabilities.
&#160;
			</abstract>
				<keywords>
	<keyword>Accident Analysis</keyword>
	<keyword>Safety</keyword>
	<keyword>Error Tree Analysis</keyword>
	<keyword>TRIPOD BETA</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>53</first_page>
								  <last_page>63</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1014-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4987 </doi>
								  <resource></resource>
							  </doi_data>
							  <citation_list>
							  </citation_list>
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					  </journal>
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				<record>
					<header>
						<identifier>45-1074</identifier>
						<datestamp>2026-09-16</datestamp>
						<setSpec>10.1002</setSpec>
					</header>
					<metadata>
						<cr_unixml:crossref xmlns="http://www.crossref.org/xschema/1.0"
							xsi:schemaLocation="http://www.crossref.org/xschema/1.0 http://www.crossref.org/schema/unixref1.0.xsd">
							<journal>
								<journal_metadata language="en">
									<full_title>Occupational Medicine Quarterly Journal</full_title>
									<abbrev_title>tkj</abbrev_title>
									<issn media_type="print">2251-7189</issn>
									<issn media_type="electronic">2251-8274</issn>
									<doi_data>
										<doi>7</doi>
										<resource></resource>
									</doi_data>
								</journal_metadata>
								<journal_issue>
									<publication_date media_type="print">
										<year>2020</year>
									</publication_date>
									<journal_volume>
										<volume>12</volume>
									</journal_volume>
									<issue>3</issue>
									<doi_data>
										<doi></doi>
										<resource></resource>
									</doi_data>
								</journal_issue>
								<journal_article publication_type="full_text">
									<titles>
										<title>Stroke and drivers\' job fitness</title>
									</titles>

				<contributors>
				
				<person_name contributor_role="author" sequence="1">
					<given_name>mir saeed</given_name>
					<surname>Attarchi</surname>
					<email>msattarchi@yahoo.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="2">
					<given_name>babak</given_name>
					<surname>Bakhshayesh Eghbali</surname>
					<email>babak.bakh@gmail.com</email>
				</person_name>
					
				<person_name contributor_role="author" sequence="3">
					<given_name>seyed mohammad</given_name>
					<surname>seyed mehdi</surname>
					<email>mseyedmehdi@gmail.com</email>
				</person_name>
				
				</contributors>
			
			<abstract>
			Introduction:&#160;Stroke is considered a relatively common disease in developing societies. This disease is one of the most important causes of sudden non-cardiac incapacity. On the other hand, the disease can naturally occur in working-age and drivers. Therefore evaluation of the fitness for work in a driver with a history of stroke can be a significant challenge for the occupational health physician and&#160;road safety.&#160;
Materials and Methods:&#160;In this study, to identify the main indicators and evaluate job fitness in a driver with stroke history, research has been conducted in valid databases such as Embase, UpToDate, PubMed, Medline (Ovid), Scopus, and web of science. Indicators that should be considered in this evaluation include the type and severity of the stroke, the probability of recurrence of the stroke attack, the degree and type of limb defect in the driver following the stroke, etc. Also in this study has been paid to some guidelines for help in deciding&#160;how to continue driving.
Results: Stroke is the most common acute neurological disease among working-age adults. About a quarter of strokes occur at working age. Cerebrovascular disease can lead to sudden disability. Approximately 50% of people with stroke in developed countries want to continue driving.
Conclusion:&#160;Things such as the probability of occurrence of stroke and sudden incapacity in the future and comparing this amount with acceptable risk and the amount of limb defect caused by stroke and its interference with driving should be considered. Also, consumption medications and their side effects and other comorbidities should be considered in this job fitness evaluation.
&#160;
			</abstract>
				<keywords>
	<keyword>Storke</keyword>
	<keyword>Fitness for work</keyword>
	<keyword>Automobile Driving</keyword>
	<keyword>Road Accident</keyword>
	</keywords>

							  <publication_date media_type="print">
								  <year>2020</year>
								  <month>12</month>
								  <day>01</day>
							  </publication_date>
							  <pages>
								  <first_page>64</first_page>
								  <last_page>74</last_page>
							  </pages>
								  <fullTextUrl>http://tkj.ssu.ac.ir/article-1-1074-en.pdf</fullTextUrl>
							  <doi_data>
								  <doi>10.18502/tkj.v12i3.4988 </doi>
								  <resource></resource>
							  </doi_data>
							  <citation_list>
							  </citation_list>
						  </journal_article>
					  </journal>
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