Evaluation Of Occupational Risk Research Articles

Diseño de un sistema de gestión de riesgos ocupacionales en el personal de enfermería de la Central de Esterilización de un hospital público de Perú

This article is prepared with the purpose of presenting a proposal for an occupational risk management system for the nursing staff of the sterilization center of a public hospital in Peru, which will help control the dangers that are affecting the staff. . from the sterilization center; This proposal was prepared based on the occupational risks found in the research called: “Evaluation of occupational risks in the staff of the sterilization center of the Lambayeque Regional Hospital - 2021”. For which, specific actions are specified to solve the risks, this includes: organization, responsibilities, planning of activities, practices, procedures and resources to be developed, policies to prevent risks. An IPERC risk matrix and a risk map were prepared which must be placed in a visible place. Likewise, procedure guides, an internal SST regulation, accident reporting and risk control records, a risk control monitoring plan, occupational risk indicators, among others, were prepared. An occupational risk management system was developed for the nursing staff of the sterilization center of a public hospital in Peru.

Comprehensive Evaluation of Occupational Accidents in a Hospital Setting: Insights from L-Type Matrix and Fine-Kinney Risk Assessment Methods

Objective: The objective of this study was to comprehensively evaluate occupational accidents in a hospital setting using the L-Type matrix and Fine-Kinney risk assessment methods. The aim was to assess the frequency, severity, and associated risks of different types of accidents. Methods: This single-center observational study analyzed occupational injuries that occurred to hospital employees between January 2018 and December 2022 in Arnavutköy State Hospital. Data were obtained from hospital records using a hospital information management system. Demographic characteristics, accident types, previous accident history, incapacity reports, L-Type matrix scores, and Fine-Kinney method scores were recorded. Risk scores were categorized based on predefined criteria. Results: The study included 249 occupational accidents, with a mean age of 30.94±9.69 years. Needle stick injuries in the hand were the most common type of accident (72.7%), followed by falls and bumps (16.1%). The L-Type matrix assessment showed that 90% of accidents were mild, and none were severe. According to the Fine-Kinney method, 0.8% of accidents were in the very high-risk group. Multiple accidents were observed among 23.7% of employees, and 11.6% resulted in work disability reports. Conclusion: Occupational accidents pose a significant risk to the safety and well-being of healthcare workers in hospitals. Needle stick injuries and falls or collisions were the most prevalent accidents. The use of risk assessment methods such as the L-Type matrix and Fine-Kinney approach allows for a comprehensive evaluation of occupational risks.

Occupational Hazards Identification, Risk Evaluation and Mitigation in Contemporary Nigeria Society: The Application of Artificial Intelligence (AI)

This paper examines the current state and potential future developments of Artificial Intelligence (AI) applications in Occupational Health and Safety (OHS) in Nigeria. OHS is a critical concern in the world and particularly in Nigeria, as workplace hazards pose risks to the health, safety, and well-being of workers. AI offers promising solutions to enhance hazard identification, risk evaluation, and control measures in OHS practices. The paper begins by providing an overview of AI, its subfields, and techniques commonly used in OHS. It then explores the real-time applications of AI in hazard identification, risk evaluation, and control measures, highlighting the benefits it brings to OHS practices. Furthermore, the paper discusses the challenges and considerations in adopting AI in Nigeria, including infrastructure limitations, skill gaps, and ethical concerns. Based on the analysis, four suggestion were proposed for Nigeria’s OHS context. These suggestions include investment in AI infrastructure and research, capacity building programs to develop AI expertise; collaboration between stakeholders, and the establishment of regulatory frameworks to ensure responsible AI deployment. By embracing AI in OHS, Nigeria can improve workplace safety, mitigate risks, and protect the health and well-being of its workforce.

Modeling the occupational health risk of workers caused by environmental release during the production of PC components.

Prefabricated construction is one of the solutions to the problem of balancing environmental improvements with the new buildings in the construction industry. Some work originally done on site is transferred to the front end, and the occupational health risks to industrial workers during the production of prefabricate concrete components are thus aggravated. This study aims to propose a framework to simulate the occupational health risks of workers in prefabricate concrete component plants from the perspective of risk identification, risk assessment, and risk control. Through the following 4 steps, including environmental release monitoring, diffusion and human inhalation mechanism analysis, occupational health risk evaluation, and full-path health risk simulation, this study maps physical entities to virtual reality. The proposed method tends to address the root causes behind occupational health risks, such as the lack of measurement, assessment and prevention criteria, and providing new ideas for theoretical research and innovative practice of HSE management and risk management in the construction industry.

A complex spherical fuzzy CRADIS method based Fine-Kinney framework for occupational risk evaluation in natural gas pipeline construction

Occupational risk evaluation is one of the most indispensable issues in the risk prevention and control process for the natural gas pipeline construction (NGPC) project. The Fine-Kinney model, recognized as an effective occupational risk evaluation technique, has limited capability to handle the occupational risk analysis problem under the complex spherical fuzzy (CSF) environment. Accordingly, a synthetical Fine-Kinney framework based on the compromise ranking of alternatives from distance to ideal solution (CRADIS) method is developed to overcome these downsides of occupation risk analysis in the NGPC project within the CSF context. A prioritized weighted average (PWA) operator for complex spherical fuzzy numbers (CSFNs) is incorporated into the group risk evaluation matrix generation process, which can take the priority degrees of experts into account. Then, the extended CRADIS method-based Fine-Kinney framework is generated, in which the Choquet integral for CSFNs is incorporated to reflect the impact of interactive risk factors. Next, the detailed solution procedures of the framework for handling the occupational risk evaluation problem are presented. Finally, the described framework is employed as an empirical example of occupational risk analysis for the NGPC project to demonstrate its feasibility in practice. After that, a sensitivity analysis of the parameter is investigated to testify to the stability and rationality of the reported synthetical Fine-Kinney framework. Subsequently, to further display the advantages of the developed Fine-Kinney framework, a comparative study is implemented to discuss the evaluation result of occupational risk derived from the proposed framework and those of the existing similar Fine-Kinney frameworks. The analysis results indicate that the occupational risk (attack by human or animal) with the maximum risk priority value (1.000) using the framework is identified as the most serious risk for the NGPC project.

A Fermatean fuzzy Fine–Kinney for occupational risk evaluation using extensible MARCOS with prospect theory

The extant Fine–Kinney frameworks are insufficient to tackle the risk evaluation problem with Fermatean fuzzy information, in which the prioritization degrees and psychological characteristics of decision-makers are considered. Hence, this study develops a hybrid Fine–Kinney-based occupational risk evaluation framework with an extended Fermatean fuzzy MARCOS method (measurement of alternatives and ranking to Compromise solution). Such a MARCOS method improves conventional MARCOS by integrating Fermatean fuzzy prioritized weighted average operator and prospect theory. This improved method has the capability to handle the occupational risk analysis problem with Fermatean fuzzy data in the risk ranking procedure considering the prioritization degrees and bounded rational behavior of decision-makers. In addition, the Fermatean fuzzy numbers-based risk rating scales are established to transform the linguistic risk scores from decision-makers, it allows for handling uncertain risk rating information from decision-makers more effectively. Further, the improved MARCOS method is incorporated into the occupational risk ranking procedure, as it considers the decision-maker’s prioritization relationships among decision-makers and their reference point effect in occupational risk priority calculation. After that, an occupational risk analysis case for construction operations is selected to test the applicability and validity of the proposed framework. The result indicates that the occupational risk OR6 (Back injury) is the most serious risk with the lowest utility function value (-0.324), and OR7 (Tendinitis) is the least severe risk with the highest utility function value (0.682). Finally, sensitivity exploration and comparative study are implemented to further test the advantages of the developed framework.

Evaluation and prioritization of occupational safety and health risks of Shahid Sadoughi Hospital in Yazd in 2019

Introduction: Today, it is essential to pay attention to the opportunities and threats in health services, especially in hospitals, to identify and evaluate the existing risks and manage them in these centers. Hospital risk management is a program to reduce the occurrence and prevalence of preventable accidents and is of great economic, human and moral importance in the hospital environment. This study aimed to evaluate and prioritize the occupational safety and health risks of the staff of Shahid Sadoughi Hospital in Yazd in 2019
 Methods and material: : The present study is descriptive-cross-sectional. In the first step, the main risks in clinical, laboratory, facilities, radiology, and administrative departments were identified. Based on FMEA logic, three severity, probability, and vulnerability indicators were identified for each risk. Then, prioritization criteria were determined, and ANP prioritized the risks.
 Results: According to infectious disease experts with a risk of 0.86 in the clinical ward, inhalation of Barisek chemical vapor 1.17 in the laboratory, radiation of the device with a risk of 0.64 in imaging, infectious disease with a risk of 0.33 and 1.3 in order of priority The first were in the administrative and facilities department.
 Conclusion: The results showed that the hospital management should adopt special management programs to control infectious diseases with a staff health approach. Control measures should be set with priority risks. The difference in the obtained risk numbers indicated the different priorities of implementing risk management programs in each ward of Shahid Sadoughi Hospital.

Safety management system of the labor process at enterprises: features of functioning

The article is devoted to the solution of urgent and important problem of improvement of working conditions and labour protection at the enterprise for production of thermoplastic materials. The authors have carried out the analysis and evaluation of occupational risks of some professions in the occupational safety and health management system by the Fine-Kinney method. The main characteristics of the existing approach are considered. Recommendations for the formation of an effective structure of labour protection management are given.

KESALEHAN LINGKUNGAN DAN KESEHATAN MASYARAKAT KAMPUS

<div><span><span lang="IN">The health of the campus community is very much determined by each individual for doing, learning, and working. In the campus environment for studying and working which is thought to cause occupational diseases, so three main steps are taken, such as identification, evaluation and control of various occupational hazards and risks. This also occurs for students studying in a campus environment related to the pre-test of student conditions, the learning process, evaluation of learning outcomes and control for learning outcomes such as thought, psychic and physical. This paper aims to describe (a) What is the most influential variable for determining the health level in the campus community, and (b) Is there a relationship between the environmental godliness and the campus public health. The research is quantitative-descriptive. The research method used is a descriptive-explorative with survey. The research data was obtained through a questionnaire adjusted to indicators for measuring the health in the campus community, such as: utilization of time and balancing of life, rational thinking, physical and mental health, and social solidarity. Then the data are validated and analyzed to examine the relationship between independent variable (X) that is the environmental godliness with dependent variable (Y) that is the campus public health. Then further more this research also wants to examine relationship between the godliness sub-variables and the health sub-variables are being indicators. The results of this study have a significant relationship between environmental godliness and the campus public health in Malang. There is a strong influence of environmental godliness on the campus public health in Malang, both physically, mentally, mindly and spiritually.</span></span></div>

Characterization of MIRCOM, IRSN’s new ion microbeam dedicated to targeted irradiation of living biological samples

Ion microbeams have emerged as a powerful tool in several domains of radiation biology, from the evaluation of environmental and occupational risks of exposure to low doses of ionizing radiation, to the study of temporal evolution of DNA damage and repair after irradiation of targeted (sub)cellular components. This paper reports the development and commissioning of the IRSN’s MIRCOM facility designed for targeted irradiation of living biological samples with a focused ion microbeam extracted in air. This equipment is able to provide protons, alpha particles, and heavier ions such as B, C, O, with energies up to a few MeV. Its performances have been assessed, in a first step, with 4 MeV protons. The beam spot size has been evaluated on CR39 track detectors and living cells at 2.2 ± 0.3 µm, and the targeting accuracy of the system has been measured using online time-lapse imaging at 2.1 ± 0.7 µm.

An extended gained and lost dominance score method based risk prioritization for Fine-Kinney model with interval type-2 fuzzy information

The Fine-Kinney model is one of the most extensively adopted classical occupational risk analysis techniques which has been regarded as a helpful means for addressing the risk identification and evaluation problems in various fields. However, current extended Fine-Kinney models have limited capacity to cope with occupational risk evaluation and prioritization problems considering interactive relationships among multi-risk parameters under inter-uncertain and intra-uncertain environments. To overcome the limitations, this paper proposes a hybrid risk prioritization approach for the Fine-Kinney model by integrating GLDS (gained and lost dominance score) method, interval type-2 fuzzy sets (IT2FSs), and Maclaurin symmetric mean (MSM) operator. First, the trapezoidal interval type-2 fuzzy numbers (TrIT2FNs) are introduced to depict the inter-uncertain and intra-uncertain risk evaluation information. Then, an ordered weighted averaging (OWA) operator is constructed to aggregate the complex and uncertain risk evaluation information from heterogeneous decision-makers in which the similarity-measure-based weighting method is incorporated. Next, the GLDS method combined with the weighted MSM operator is developed to address the risk prioritization problem in the Fine-Kinney model by considering the inter-dependencies among multi-risk parameters. Finally, a numerical example of occupational risk evaluation for potential hazards in construction excavation is presented within IT2FSs to demonstrate the application and availability of the extended Fine-Kinney model. After that, the comparison and sensitivity analyses are conducted to further illustrate the superiority and rationality of the proposed approach.

Research on Comprehensive Quantitative Evaluation System of Occupational Stress of Civil Aviation Pilots

Through theoretical analysis, expert survey and issuance of the questionnaire to all age civil aviation pilots this paper summarized several influential factors for occupational stress of civil aviation pilots and established an occupational stress risk comprehensive valuating index system. According to the comprehensive analysis of occupational stress influential factors we took 7 factors, i. e. working load factor, physiological factor, organization factor, psychological factor, environmental factor, equipment factor and incident factor as the criterion. Then an occupational stress risk comprehensive valuating index system was established. Order relation analysis method (G1 method) was used to calculate the weights of indexes. Thus occupational stress risk three grade comprehensive evaluation index system was established. To quantify the level occupational stress index by four levels each occupational stress index was respectively corresponded to different degrees of occupational stress. Civil aviation pilots occupational stress questionnaires are compiled according to the comprehensive evaluation index system. Through the questionnaire statistical analysis results of occupational stress index distribution value interval of occupational stress index corresponding to the degree of occupational stress for civil aviation pilots was divided reasonably which reflected the comprehensive quantitative evaluation of occupational stress. The results showed that the quantitative evaluation system provided a practical way for the evaluation of occupational stress level and risk for civil aviation pilots.

WITHDRAWN: Evaluation of occupational stress management for improving performance and productivity at workplaces by monitoring the health, well-being of workers

Competence lack, inadequate social support at work leads to the inability of workers since they are suffering from occupational stress. This will cause distress, burnout or psychosomatic difficulties, decreases in quality of life and service provision. Some of them may connect to work in an individual's personal life, both as managers, recognize stressors in their department, and respond on a departmental basis or individually. Many workers say that their employee utilization monitoring is not sufficient until computer counting involves. In addition, the systems are associated with higher stress, health hazards, and work unhappiness among supervised personnel. Monitoring these problems can increase employee awareness of personal productivity, providing performance information more promptly and frequently. Interventions are based on an examination of the variables that impact the performance of health workers. The article for employee stress management and health monitoring using information technology (SMHM-IT) gives better working conditions, motivation, retention, etc. Evaluation of occupational risks is a framework introduced to manage health and safety implications associated with preventative measures for improving and protecting the highest physical, social, or emotional working skills. Statistical data analysis is introduced to compare a medical specialty which includes analysis of employee's details. Results are compared with assessments shows that architecture offers successful in-time accessibility of performance 98.12% is achieved. • Approaches reducing organizational stress consisted of general and professional. • Management can be flexible to all employees who can concentrate demands. • Professional consultations, including members of the management team

Evaluation of Occupational Exposure Risk for Employees Working in Dynamic Olfactometry: Focus On Non-Carcinogenic Effects Correlated with Exposure to Landfill Emissions

This work aims to evaluate the non-carcinogenic health effects related to landfill odor emissions, therefore focusing on workers involved in dynamic olfactometry. Currently, the most common technique to quantify odor emissions is dynamic olfactometry, a sensorial analysis involving human assessors. During the analysis, assessors are directly exposed, at increasing concentrations, to odor samples, and thus to the hazardous pollutants contained therein. This entails the need to estimate the associated exposure risk to guarantee examiners’ safety. Therefore, this paper evaluates the exposure risk for olfactometric examiners to establish the minimum dilution level to be adopted during the analysis of landfills’ odorous samples to guarantee panelists’ safety. For this purpose, an extensive literature review regarding the pollutants emitted by landfill odor sources was conducted, comparing compounds’ chemical concentrations and threshold limit values (TLVs) to calculate the Hazard Index (HI) and thus establish a minimum dilution value. The data collected indicate that a non-negligible non-carcinogenic risk exists for all landfill emissions considered. However, from the data considered, the minimum dilution factor to be adopted is lower than the typical odor concentration observed for these sources. Therefore, the olfactometric analysis of landfill samples can be generally conducted in safe conditions.

Extension of safety and critical effect analysis to neutrosophic sets for the evaluation of occupational risks

Occupational health and safety applications require a comprehensive risk analysis to protect employees from accidents caused by various hazard sources in the workplace. Therefore, in the literature, there are various risk assessment methods utilizing various parameters. One of them is safety and critical effect analysis (SCEA) which is the method that calculates risk magnitude based on the highest number of parameters that are probability, severity, frequency, and detectability. However, the risk assessment phase includes uncertainties and inconsistencies caused by both evaluations of experts and the complex structure of the handled process. Therefore, we proposed a new risk assessment approach to cope with these uncertainties and inconsistencies by extending SCEA with the Neutrosophic sets. In this study, each parameter, probability, severity, frequency, and detectability, is defined by using truth membership function, falsity membership function, and indeterminacy membership function in Neutrosophic sets (NSs) to deal with incomplete, indeterminate, and inconsistent information existing in the expert preferences and complex structure of the handled process. It is the first time, the indeterminacy of NSs is defined based on truth and falsity definitions by using a rule-based system based on probability, severity, frequency, and detectability parameters. Furthermore, Mamdani fuzzy inference system used in the SCEA method is adapted to NSs. The proposed approach is applied to the metalworking and woodworking workshop of a university. The obtained results are compared with the results of the SCEA method. It is concluded that the proposed approach is better than SCEA method to consider inconsistencies in the risk evaluation.

Noise Level Measurement and Analysis in a Manufacturing Enterprise

Abstract Noise is one of the most common physical factors causing nuisance and harmful to worker health in the long term. The focus of the research was the measurement and analysis of the noise level at the screw injection moulding machine operation station intended for plastic elements’ manufacturing. The occupational risk evaluation was conducted based on the observed data. The results of the study allowed for the development of precautionary and preventive measures. Furthermore, the paper features identification of the work environment factors occurring in the studied manufacturing enterprise with division to dangerous, harmful, and bothersome.

Evaluation of Occupational Health and Safety Risks in Hotel Businesses with Fine-Kinney Method

Turizm sektörü içerisinde yer alan otel işletmelerinin önemi gelişmekte olan ülkelerde giderek artmaktadır. Otel işletmeleri, küresel ekonomik kriz sırasında bile gelişmektedir ve istihdam yaratmaktadır. Otel işletmelerinin sayılarının artması ile beraber, istihdamın ve bu alanda rekabetin artması, çalışanların bu sektör içinde karşı karşıya kalacakları risk ve tehlikeleri de arttırmıştır. Bu nedenle iş kazaları ve meslek hastalıkları açısından otel işletmelerini değerlendirmek önemlidir. Bu çalışma, otel işletmelerindeki iş sağlığı ve güvenliğinin durumunu anlamak, iş sağlığı ve güvenliği risklerini belirlemek ve otel işletmelerinde acil durum önlemlerinin ne ölçüde uygulandığını incelemek amacıyla Elazığ’da bulunan dört yıldızlı turistik bir otel işletmesinde yapılmıştır. Çalışmada, Fine-Kinney yöntemi kullanılarak, iş yerinin iş sağlığı ve güvenliğinin risk analizi ve değerlendirmesi yapılmıştır. Risk değerlendirmesi sonucunda otelcilikte toplam 52 risk tespit edilmiş, bu risklerin ortadan kaldırılması yahut kabul edilebilir seviyelere indirgenmesi için bazı önerilerde bulunulmuştur.

Risk Evaluation and Simulation Analysis of Occupational Diseases in Coal Mine Workers

In order to solve the problem of inaccuracy in the evaluation of occupational disease risk due to the characteristics of unknown and uncertainty, the coal mine occupational disease evaluation system was constructed, the weighting method of “AHP+entropy method” was introduced, and the Lagrangian function and European style were used. The distance function is used to obtain the combined weights of occupational disease evaluation indicators, and the unascertained measurement theory is used to construct the occupational disease risk evaluation model. After that, the Arena software is used for simulation analysis, and the continuous space iteration method is used to obtain the priority of coal mine occupational disease influencing factors. A case study on the occupational disease risk of Zhenchengdi Coal Mine is carried out with the method proposed in this paper. The simulation results and evaluation results are consistent with engineering examples, which shows that the evaluation model based on the “AHP+entropy weight method” unascertained measurement theory is practical and accurate. It is feasible and reliable, also can provide a basis for the risk assessment and prevention of coal mine occupational diseases.

A New Approach for Occupational Risk Evaluation of Natural Gas Pipeline Construction with Extended Cumulative Prospect Theory

The natural gas pipeline construction project possesses different kinds of highly risky occupational hazards because of its complex and dynamic surrounding environments. Occupational risk evaluation is one of the most effective techniques to reduce and manage these risks and hazards. There are various kinds of techniques to address the problem of occupational risk evaluation, however, most of these techniques overlook the decision-makers’ different risk perceptions under the different probability of risk occurrence. In addition, current occupational risk evaluation approaches are unable to cope with the risk analysis problem including correlated risk parameters within the random and fuzzy context. Aiming to compensate for these limitations, we present an extended occupational risk evaluation method for a natural gas pipeline construction project by integrating the cloud model, cumulative prospect theory, and Bonferroni mean operator. In this framework, four risk parameters in the safety and critical effect analysis (SCEA) are introduced to rate the risk of each occupational hazard. Then, the normal cloud model is utilized to transform the linguistic risk evaluation information into quantitative data, which can model the uncertainty of randomness and fuzziness in the risk evaluation process. Next, the extended cumulative prospect theory based on Bonferroni mean operator is constructed to derive the risk magnitude of each hazard considering the decision maker’s different risk perception and interactions among risk parameters. Finally, the proposed extended occupational risk evaluation method is tested by the risk evaluation of the concrete coating procedure. The sensitivity and comparison analyses are led to validate the rationality and reliability of the proposed occupational risk evaluation method.

Assessment of occupational risks in a citrus fruit extraction company in Morocco

The human and financial consequences of work-related accidents are major for companies and their staff. In this context, we proposed to undertake a study based on the Evaluation of Occupational Risks (EvOR) within a company processing citrus fruits into juice in its various work units. The aim of our work was to identify and prioritize the existing occupational risks and to propose preventive and corrective actions and adequate and adapted protection measures. First of all, we carried out an analysis of the work accidents that occurred in the company, and we noted an increase in the number of days off work due to work accidents, approximately 320 days per year. We then concluded that 55% of the accidents that occurred were considered to be of medium and fairly serious gravity. The method we adopted is that of the INRS and is based on five fundamental steps: inventory of work units, identification of risks, estimation of the seriousness of damage, prioritization of risks and development of a corrective and preventive action plan. The main risks identified are mainly organizational, biological, chemical, mechanical and technical. Based on the results of this analysis, we proposed a corrective and preventive action plan to the employer to eliminate or reduce the identified risks to an acceptable level, and subsequently improve the working conditions of the employees while complying with the normative and legislative texts in force.