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• Lower perceived organizational support linked to more occupational accidents. • Near-miss events also showed similar results to occupational accidents. • Organizations should enhance employees' perceived organizational support. Introduction : Preventing occupational accidents is a major global challenge, and employee safety practices play a crucial role in accident prevention. Although perceived organizational support (POS) is related to safety practices, there is currently insufficient evidence supporting a relationship between POS and occupational accidents. We investigated the relationships between POS and both occupational accidents and near-miss events that can lead to accidents in the following year among workers in various industries in Japan. Method : This prospective cohort study was conducted from March 2022 to March 2023 using a questionnaire survey. In total, 9916 participants who completed the follow-up survey and met our inclusion criteria were analyzed. The follow-up survey asked participants about both occupational accidents and near-miss events experienced in the year following the baseline assessment. POS was evaluated at baseline using the eight-item version of the Survey of Perceived Organizational Support. Odds ratios (ORs) for the relationships between POS and occupational accidents and near-miss events were estimated using multilevel logistic regression analyses nested by industries. Results : The ORs for self-reported occupational accidents were significantly higher for the moderate (OR = 1.41, 95% confidence interval [CI]: 1.10–1.82), low (OR = 1.49, 95%CI: 1.18–1.89), and very low (OR = 2.03, 95%CI: 1.61–2.56) POS groups compared with the very high group. The ORs for self-reported near-miss events were also significantly higher for the moderate (OR = 1.21, 95%CI: 1.03–1.43), low (OR = 1.20, 95%CI: 1.03–1.40), and very low (OR = 1.56, 95%CI: 1.34–1.82) groups than the very high group. Conclusions : Our findings suggest lower POS is related to a higher occurrence of occupational accidents and near-miss events in the following year. Organizations should consider enhancing employees' POS to reduce occupational accidents and near-miss events. Practical Applications : To enhance employees' POS, organizations should address identified antecedents of POS (e.g., fairness, supervisor support, rewards, favorable job conditions, and human resource practices). [ABSTRACT FROM AUTHOR]

Airborne pollutants pose a significant threat in the occupational workplace resulting in adverse health effects. Within the Industry 4.0 environment, new systems and technologies have been investigated for risk management and as health and safety smart tools. The use of predictive algorithms via artificial intelligence (AI) and machine learning (ML) tools, real-time data exchange via the Internet of Things (IoT), cloud computing, and digital twin (DT) simulation provide innovative solutions for accident prevention and risk mitigation. Additionally, the use of smart sensors, wearable devices and virtual (VR) and augmented reality (AR) platforms can support the training of employees in safety practices and signal the alarming concentrations of airborne hazards, providing support in designing safety strategies and hazard control options. Current reviews outline the drawbacks and challenges of these technologies, including the elevated stress levels of employees, cyber-security, data handling, and privacy concerns, while highlighting limitations. Future research should focus on the ethics, policies, and regulatory aspects of these technologies. This perspective puts together the advances and challenges of Industry 4.0 innovations in terms of occupational safety and exposure assessment, aiding in understanding the full potential of these technologies and supporting their application in industrial manufacturing environments. [ABSTRACT FROM AUTHOR]

Forestry work, which is considered one of the most demanding and dangerous professions in the world, is claiming more and more lives. In a country as small as Austria, more than 50 forestry workers are killed in accidents every year, and the number is increasing rapidly. This serves as a catalyst for us to implement more stringent measures for workplace safety in order to achieve the sustainability objective of SDG 3, which focuses on health and well-being. This study contributes to the analysis of occupational accidents and focuses on two large real-world datasets from both the Austrian Federal Forests (ÖBf) and the Austrian Workers' Compensation Board (AUVA). Decision trees, random forests, and fully connected neural networks are used for the analysis. By exploring different interpretation methods, this study sheds light on the decision-making processes ranging from basic association to causal inference and emphasizes the importance of causal inference in providing actionable insights for accident prevention. This paper contributes to the topic of explainable AI, specifically in its application to occupational safety in forestry. As a result, it introduces novel aspects to decision support systems in this application domain. [ABSTRACT FROM AUTHOR]

The hydrogen production from natural gas has advantages of low investment, low carbon emission, and high hydrogen production rate. This paper briefly describes the technical overview of hydrogen production from natural gas reforming and identifies its risk factors. According to the dangerous characteristics of high reaction temperature, easy leakage of reaction medium, flammability, and explosion in the process, the intrinsic safety of the process is discussed in combination with relevant research and industrial experience. The safety requirements of key equipment and materials are introduced in detail, followed by the optimization methods of process safety that can be taken in the engineering process. Besides, the accident prevention measures for emergency shutdown and fire explosion are summarized. Finally, the future research demands are put forward from the perspective of research and development, which is instructive for the safe hydrogen production from natural gas in the future. [ABSTRACT FROM AUTHOR]

The studies in various countries show that one of the main causes of accidents on rural roads still remains the drivers’ errors in choosing safe speed, which can be attributed to the errors of perceiving the road alignment. The current practice shows that the engineering safety improvement measures as well as accident prevention measures such as intersection design, traffic signs and equipment, facilities for vulnerable road users, access management, and human behaviour are not always effective. Probably, one of the alternatives to solve this problem is a design methodology that is used in the European Union countries and based on road safety criteria and road safety module. This methodology is aimed at ensuring design consistency between the elements of road alignment in a way that the driver intuitively chooses safe speed or the probability of errors in perceiving the road alignment is minimum. The article presents experimental research carried out in Vilnius Gediminas Technical University, the objective of which is to determine the accuracy of road safety module and to suggest possible alternatives for its improvement. [ABSTRACT FROM AUTHOR]

Monitoring workers' safety compliance is critical to construction accident prevention. However, most of the previous research focuses on checking the entry of workers wearing safety belts and the monitoring of the fastening action of safety rope screw buckles has not yet been considered. In this paper, a reconstruction method for the safety rope fastening behaviour of workers is proposed based on inertial measurement units (IMU) and a time series approach to monitor safety belt use. The proposed method was applied and evaluated through on-site construction experiments. The experimental results show that the acceleration, angular velocity, and magnetic induction intensity data obtained by the inertial measurement unit exhibit clear behavioural characteristics during safety rope fastening. The trajectory of the safety rope can be reconstructed and monitored through inertial measurement units and a time series approach. The results of this study will contribute to the reconstruction and monitoring of safety rope attachment trajectories for scaffolding workers working at heights in order to prevent falls at construction sites. [ABSTRACT FROM AUTHOR]

The aim of this work is to study the causes of accidents in chemical processes, develop a methodology for accident prevention via control, and illustrat its realization by examples using a variety of strategies. The general concept of critical situations was introduced systematically covering both emergency and pre-emergency situations. In large-scale chemical plants, examples of accidents are presented. Accident causes as a result of disturbances and control faults in technological processes are analyzed. Approaches for preventing accidents are considered. The revealing of critical situations is presented as a problem of pattern recognition, and the subtasks of the recognition are analyzed. An emergency scale based on the assessment of various states of the chemico-technological process is introduced and applied for distinguishing the different levels of accident. The real obstacles in the prevention of accidents via control are shown and analyzed. Matrices of critical situations with corresponding characteristics are given. The main tasks for the prevention and elimination of critical situations are highlighted and characterized, and our methodology for the realization of these tasks is presented. Practical examples of the prevention of accidents in the industrial ammonia synthesis processes (including approaches and strategies) are demonstrated based on the real-time control of autothermal reactors. [ABSTRACT FROM AUTHOR]

BACKGROUND: Risk perception is an intuitive risk about hazards to which people are exposed daily and is related to several factors. In the construction context, there is a need to identify and understand how risk perception is related to these factors; construction companies can implement this information to develop measures for effective risk management. OBJECTIVE: This literature review aims to identify recommendations for future research about factors that may be related to risk perception in construction workers. METHODS: We used the SPIDER tool and searched available electronic databases for the most recent research articles published on risk perception in the construction area. RESULTS: We identified main recommendations for future research: Behavior, environment and working conditions, risk assessment methods, culture, individual and demographic factors, and knowledge. CONCLUSION: Safety behavior is the primary variable of concern in studies related to risk perception in the construction area. Therefore, further research is needed to identify the factors that intervene and impact risk perception to reduce accident rates among construction industry workers. [ABSTRACT FROM AUTHOR]

Promoting workplace safety is crucial in occupational health and safety (OHS). However, existing studies have primarily concentrated on accident prevention, overlooking the role of resources in encouraging safety. This research investigates the impact of a personal resource, namely hope, on safety participation, considering its interaction with job resources and job demands using the Job Demands-Resources (JD-R) model in the context of safety. A cross-sectional study was conducted in a large company managing European shopping centers (N = 262). Of the sample, 52.3% of participants were female. Data were collected through an online questionnaire and analyzed using model 92 of Andrew F. Hayes' Process Macro to test the hypothesized moderate serial mediation model. Our results highlighted that (1) hope directly correlates with safety participation, (2) hope and job dedication mediate the relationship between autonomy and safety participation, and (3) high job demands can undermine the beneficial effects of resources (i.e., autonomy, hope, and job dedication) on safety participation. These results suggest that workers with personal resources like hope are more likely to engage in safety practices, displaying increased dedication and focus on safety. However, excessive job demands can challenge the effectiveness of these resources in promoting safety participation. This study offers a novel perspective by integrating safety participation into the JD-R model framework. [ABSTRACT FROM AUTHOR]

This article examines the automobility norm in Swedish road safety policy and its impact on planning for cycling. The author argues for a change in road safety policy to include broader societal and policy goals. The study compares Swedish road safety policy to Dutch policy and concludes that road safety policy should embrace additional goals, disrupt the discourse around cycling, and address feelings of unsafety and fear. The article highlights the differences in cycling safety policies between Sweden and the Netherlands, with Sweden emphasizing individual protection gear and the Netherlands prioritizing liveability and perceived safety. The text includes a list of references and documents related to traffic safety and cycling policies in both countries. [Extracted from the article]

This article presents a study on sharing practices after incidents across organizations in the Norwegian construction industry as a means towards improvement of occupational safety. Interviews were performed with safety personnel from different actors, including clients, contractors and designers. The findings show that several arenas for sharing of safety-related information across actors exist; however, the sharing is limited, not structured, and occurs occasionally. Furthermore, the information is not widely shared across all actors in the industry for whom the information could be valuable, e.g., early phase actors. As a willingness to share and an excitement for new technology are present, the work goes on to propose how and where the industry can improve on information sharing after incidents to move towards inter-organizational learning. A roadmap for the Norwegian construction industry is suggested for collective information sharing with a focus on technological and digital solutions. [ABSTRACT FROM AUTHOR]

The present study proposes a Real-Time Pose Estimation technique using OpenPose based on ResNet-50 that enables rapid safety prevention and accident detection among field workers. Field workers perform tasks in high-risk environments, and accurate Pose Estimation is a crucial aspect of ensuring worker safety. However, it is difficult for Real-Time Pose Estimation to be conducted in such a way as to simultaneously meet Real-Time processing requirements and accuracy in complex environments. To address these issues, the current study uses the OpenPose algorithm based on ResNet-50, which is a neural network architecture that performs well in both image classification and feature extraction tasks, thus providing high accuracy and efficiency. OpenPose is an algorithm specialized for multi-human Pose Estimation that can be used to estimate the body structure and joint positions of a large number of individuals in real time. Here, we train ResNet-50-based OpenPose for Real-Time Pose Estimation and evaluate it on various datasets, including actions performed by real field workers. The experimental results show that the proposed algorithm achieves high accuracy in the Real-Time Pose Estimation of field workers. It also provides stable results while maintaining a fast image processing speed, thus confirming its applicability in real field environments. [ABSTRACT FROM AUTHOR]

Introduction: The construction workers are performing manual tasks in harsh conditions. Various environmental risk factors could have significant influence on work fatigue. Methods: This review article discussed the environmental causal factors which involved in work fatigue development in the occupational health perspective, with the aim in enhancing the body of knowledge specifically in the construction industry so that mitigation measures and interventions can be formulated and implemented for fatigue prevention and productivity enhancement. Results: Data derived from a total of 11 relevant articles identified climatic heat, vibration and elevation change as the major risk factors that associated with work fatigue. The mechanism of the environmental factors' influences on muscle, mental and visual fatigue were understood, pointedly the underlying physiological alteration. Additionally, appropriate preventive measures in accordance to the OSHA guides including work-break cycles, work management, cool-down arrangements with drinking water were discussed. The limitation of existing OSH requirements on work limits at heat exposure was recognized, including the lack of consideration on personal characteristics therefore might inaccurately estimate the personal heat tolerance time. Conclusions: The proper understanding of the environmental stressors and its impact on workers production and safety performance may help construction organisations and regulatory body to develop strategies for workers protection and fatigue-related accidents prevention. [ABSTRACT FROM AUTHOR]

Accidents while working in the construction industry source many tangible and intangible losses. Although various measures have been taken to reduce occupational accidents in the construction sector, occupational accidents are still increasing, especially in Indonesia. Meanwhile there is some literature on the relationship between personality traits and accidents, much remains to be considered before applying the research to accident prevention. Therefore, there is a need to study in detail the correlations between the Big 5 characteristics and safety behaviors, including other variables, so that preventive action can be taken as a form of occupational injury prevention. The purpose of this study was to analyze the impact of the Big 5 personality traits, using personal values and safety culture as variables influencing safety behavior in construction workers. This study analyzes or resolves not only the direct impact of Big 5 personality traits on safety behavior of construction workers, but also the indirect impact through personal values and safety culture. Data were collected through interviews with 300 construction workers in Surabaya, Malang and Batu, EastJava, Indonesia. The results showed that the Big 5 personality had a significant positive impact on workplace safety behavior with a difference of 0.299. In addition, personal values and safety culture as intervention variables may influence the impact of Big 5 personality traits on workers’ safety behavior. The 0.788 and 0.545 Big 5 personalities have a significant impact on personal values and safety culture. One of the dominant indicators when measuring the Big 5 personality structure is neuroticism, with the highest stress factor of 0.928. Therefore, if management wants to improve worker safety behavior, it should conduct a workplace analysis to hire competent workers with a high degree of neuroticism. [ABSTRACT FROM AUTHOR]

Occupational safety and health is among the most challenging issues in many industrial workplaces, in that various factors can cause occupational illness and injury. Robotics, automation, and other state-of-the-art technologies represent risks that can cause further injuries and accidents. However, the tools currently used to assess risks in workplaces require manual work and are highly subjective. These tools include checklists and work assessments conducted by experts. Modern Industry 4.0 technologies such as a digital twin, a computerized representation in the digital world of a physical asset in the real world, can be used to provide a safe and healthy work environment to human workers and can reduce occupational injuries and accidents. These digital twins should be designed to collect, process, and analyze data about human workers. The problem is that building a human-focused digital twin is quite challenging and requires the integration of various modern hardware and software components. This paper aims to provide a brief survey of recent research papers on digital twins, focusing on occupational safety and health applications, which is considered an emerging research area. The authors focus on enabling technologies for human data acquisition and human representation in a virtual environment, on data processing procedures, and on the objectives of such applications. Additionally, this paper discusses the limitations of existing studies and proposes future research directions. [ABSTRACT FROM AUTHOR]

Purpose. To elucidate the role of social responsibility and evaluate the contribution of subjects of labor protection management on business entity in solving problems of maintaining health and ensuring safety of employees in modern occupational conditions. Methodology. Sociological research was carried out by interviewing respondents with various work experience. The obtained results were processed using probability statistical methods with further generalization and formalization. Findings. On the basis of conducted study, it has been established that within the last twenty years the role of subjects of occupational safety management on business entity has been changing gradually, particularly the awareness of employers and employees of their responsibility in labor protection activities has increased; however, the awareness of state authorities for their responsibility in such activities has decreased. According to the obtained results, the formation of high-level occupational safety culture at business entities that include communication based on mutual trust, common perception of the importance of safety and confidence in the effectiveness of preventive measures, is quite actual at the present stage of economic development. The results of the study showed that 82 % of respondents indicated the main problem as a low level of competence of managers and employees in safety issues. Also, the respondents noted problems related to the organization of work (62 % of interviewed persons), including disagreement or misunderstanding of the main goals of the organization. Approximately one third of respondents (32 %) indicated excessive workload. A little more than half of the respondents (61 %) were willing to discuss occupational safety and took an active role in organizing a safe work environment. Originality. Two main reasons were shown why respondents did not wish to discuss occupational safety issues, and as a result to, care about their own safety. The reasons reported were the motives of underestimating occupational hazards and motives related to the professional responsibilities. The identified dominant motives for omission of occupational hazards at work are related to the occupational safety culture. Practical value. The obtained results will contribute to the formation of occupational safety culture, improve labour organization and eliminate the dominant factors of injuries and occupational morbidity. Specific meaning of occupational safety culture and common understanding of it by all members of the workforce plays a fundamental role in accident prevention. The reported results can interest employers and employees, as the main subjects of entrepreneurial activity, that they are fully responsible for their own and collective safety, as well as scientists studying issues related to occupational safety culture. [ABSTRACT FROM AUTHOR]

Background/Aim: There is a paucity of evidence on injuries sustained by farriers and hoof care practitioners, two professions exposed to unique occupational hazards. The aim of this study was to collect and examine data on occupational head/face and dental injuries among farriers and hoof care practitioners in a nationwide survey in Switzerland. Materials and Methods: Data on occupational head/face and dental injuries were gathered in a questionnaire‐based, voluntary survey, which was mailed to all farriers and hoof care practitioners in Switzerland. The statistical analysis comprised multiple regressions with a nested design (α = 0.05). Results: The survey included 278 respondents (response rate of 78.1%). Head/face injuries were more frequently reported by farriers than hoof care practitioners (60.6% and 20.7%, respectively). Among full‐time workers, farriers had a higher chance of an occupational head/face injury compared with hoof care practitioners (p =.007). The rate of dental injuries, mainly related to a horse kick, was 11.1% and 1.9% among farriers and hoof care practitioners, respectively. Negligence in wearing mandatory eye protection was reported by 37.5% of respondents. Conclusions: Farriery and hoof care management entail a significant risk of occupational head/face and dental injuries. Preventive safety measures—eye protection in particular—and knowledge in dental first aid should be promoted among farriers and hoof care practitioners to decrease the frequency and severity of work‐related injuries. [ABSTRACT FROM AUTHOR]

The construction industry is one of the most at risk to worker safety. The number of work accidents in Indonesia continues to increase so that by 2021 the number of work accidents will reach 234,270 cases. Therefore, in-depth research is needed to maintain the safety of all workers. Recognizing the factors that cause work accidents helps stakeholders take preventive action. It is necessary to increase worker safety behaviour by identifying its factors. Both those that occur in casual workers and permanent workers. Therefore, it is important to see whether employment status affects the safety behaviour of construction workers so that preventive measures can be taken as a form of prevention of work accidents. The research objective was to analyze the status of workers on the safety behaviour of construction workers. Data was collected through a survey method of 300 construction workers in the cities of Surabaya, Malang, and Batu in East Java, Indonesia. The results of the study show that worker status has a positive effect on construction work safety behaviour. This means that the higher the Employee Status will increase the Safety Behavior variable, with a path coefficient of 0.390. Among the indicators that are dominant in measuring the ES Worker Status construct is the Type of Worker, with the highest loading factor of 0.842. Thus, if the management wants to raise the value of the variable Safety Behavior through improving aspects of Employee Status, what need to be evaluated as a top priority is the Employee Type. The results of this study can be used as a reference in setting policies related to worker safety. Project management can determine what strategic steps need to be taken for construction workers with different types of employee statuses. so as to increase worker awareness of a culture of safety behavior. [ABSTRACT FROM AUTHOR]

With a steady wind velocity of 130 mph, Ian was a category 4 hurricane. We have never been affected by a major hurricane while living in Florida until last Wednesday, September 28, 2022, when hurricane Ian blew into Charlotte County while heading northeast: WINDS 130 mph GUST 180 mph MOVING NNE at 10 mph PRESSURE 951 mb We were surprised that Ian found his way to our house. SP 1 sp The event was not a black swan for Helen and me because the hurricane did not have catastrophic impact, and in Florida, residents are aware of the hurricane threats that exist between June 1 and November 30. Ian had steady winds of 130 mph and gusts of 180 mph. [Extracted from the article]

Interventions in work environments, processes, and situations encompass the prevention of diseases and accidents and workers' health promotion. Historically, these actions were originally the responsibility of the Ministry of Labor, being extended to the Ministry of Health, and later to the Ministry of Labor. The aim of this study was to understand and give visibility to the work of the actors working in the different sectors and institutions involved in health and safety at work in the municipality of São Paulo and gain an insight into the barriers to intersectorality and the consequences of the lack of intersectoral collaboration for this area. Work reflection groups were created between 2017 and 2019 with professionals working in the abovementioned ministries and in the Labor Prosecution Office. The data were produced and analyzed drawing on the theoretical bases of the psychodynamics of work. Despite having intrinsically linked objectives, these three bodies in São Paulo continue to encounter difficulties in consolidating intersectorality as envisioned in occupational health and safety policies. Despite sporadic partnerships, merging specific actions, recognizing and mutually respecting each other's expertise, avoiding overlaps, and building joint, cooperative, and collaborative practices remain challenges. [ABSTRACT FROM AUTHOR]

This paper addressed safety risks in the construction industry, emphasizing the prevalent and fatal risk of falls from heights due to floor openings. Although advancements in computer vision and deep learning offer opportunities for automated safety monitoring, challenges such as inaccuracies in object localization and measuring distances to unsafe zones persist. To overcome these issues, a detection method employing convex quadrilateral bounding boxes was presented, taking into account perspective changes from the view of the camera. By leveraging a pretrained pose-estimation model and enhancing the YOLOv7 architecture, the new method precisely identified unsafe areas and generated virtual fences around floor openings. The presented approach resulted in an average precision of 80.55% and an F1-score of 86.49% in alerting dangers, outperforming existing techniques. This paper underscores the effective integration of state-of-the-art computer vision methodologies for practical safety monitoring in construction sites, highlighting its promise in accident prevention. • Uses convex quadrilateral boxes to boost construction site object detection accuracy. • Combines pose-estimation with opening detection to alert hazards via virtual fences. • Enhanced YOLOv7 architecture improves danger alert F1-score by 5.24% over prior methods. [ABSTRACT FROM AUTHOR]

Accidents in the workplace are critical issues that necessitate attention from environmental safety and health perspectives to enhance operational safety. The elevated rate of workplace accidents in Turkey underscores deficiencies in reliability analysis studies. Effective planning of preventive measures, considering factors such as location and timing, is pivotal in accident prevention. Sociological and regional disparities, alongside technical factors such as service type, working hours, and age, contribute significantly to accident causation. Reliability analysis studies aim to identify potential causes of accidents, enabling early detection of hazardous situations and combinations. This proactive approach allows responsible personnel to implement measures that mitigate or eliminate specific types of accidents, thereby safeguarding both lives and business assets. This study utilizes Artificial Neural Network (ANN) to forecast potential occupational accidents in the shipbuilding industry before they occur. Analyzing data from 146 occupational accidents involving ship electricians between 2012 and 2016, out of a total of 1165 occupational accidents in the industry, the study estimates potential accidents for 2017. The results demonstrate that ANN achieves high accuracy in predicting occupational accidents. [ABSTRACT FROM AUTHOR]

Recently, AI, big data, and IoT technologies are being used in various solutions such as fire detection and gas or dangerous substance detection for safety accident prevention. According to the status of occupational accidents published by the Ministry of Employment and Labor in 2021, the accident rate, the number of injured, and the number of deaths have increased compared to 2020. In this paper, referring to the dataset construction guidelines provided by the National Intelligence Service Agency(NIA), the dataset is directly collected from the field and learned with YOLOv4 to propose a collision risk object detection system through object detection. The accuracy of the dangerous situation rule violation was 88% indoors and 92% outdoors. Through this system, it is thought that it will be possible to analyze safety accidents that occur in industrial sites in advance and use them to intelligent platforms research. [ABSTRACT FROM AUTHOR]

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Background: Limited knowledge regarding the relative effectiveness of workplace accident prevention approaches creates barriers to informed decision‐making by policy makers, public health practitioners, workplace, and worker advocates. Objectives: The objective of this review was to assess the effectiveness of broad categories of safety interventions in preventing accidents at work. The review aims to compare effects of safety interventions to no intervention, usual activities, or alternative intervention, and if possible, to examine which constituent components of safety intervention programs contribute more strongly to preventing accidents at work in a given setting or context. Date Sources: Studies were identified through electronic bibliographic searches, government policy databanks, and Internet search engines. The last search was carried out on July 9, 2015. Gray literature were identified by searching OSH ROM and Google. No language or date restrictions were applied. Searches done between February and July of 2015 included PubMed (1966), Embase (1980), CINAHL (1981), OSH ROM (NIOSHTIC 1977, HSELINE 1977, CIS‐DOC 1974), PsycINFO (1806), EconLit (1969), Web of Science (1969), and ProQuest (1861); dates represent initial availability of each database. Websites of pertinent institutions (NIOSH, Perosh) were also searched. Study Eligibility Criteria, Participants, and Interventions: Included studies had to focus on accidents at work, include an evaluation of a safety intervention, and have used injuries at work, or a relevant proxy, as an outcome measure. Experimental, quasi‐experimental, and observational study designs were utilized, including randomized controlled trials (RCTs), controlled before and after (CBA) studies, and observational designs using serial measures (interrupted time series, retrospective cohort designs, and before and after studies using multiple measures). Interventions were classified by approach at the individual or group level, and broad categories based on the prevention approach including modification of: Attitudes (through information and persuasive campaign messaging).Behaviors (through training, incentives, goal setting, feedback/coaching).Physiological condition (by physical training).Climate/norms/culture (by coaching, feedback, modification of safety management/leadership).Structural conditions (including physical environment, engineering, legislation and enforcement, sectorial‐level norms). When combined approaches were used, interventions were termed "multifaceted," and when an approach(es) is applied to more than one organizational level (e.g., individual, group, and/or organization), it is termed "across levels." Study Appraisal and Synthesis Methods: Narrative report review captured industry (NACE), work setting, participant characteristics, theoretical basis for approach, intervention fidelity, research design, risk of bias, contextual detail, outcomes measures and results. Additional items were extracted for studies with serial measures including approaches to improve internal validity, assessments of reasonable statistical approaches (Effective Practice of Organization of Care [EPOC] criteria) and overall inference. Random‐effects inverse variance weighted meta‐analytic methods were used to synthesize odds ratios, rate ratios, or standardized mean differences for the outcomes for RCT and CBA studies with low or moderate levels of heterogeneity. For studies with greater heterogeneity and those using serial measures, we relied on narrative analyses to synthesize findings. Results: In total 100 original studies were included for synthesis analysis, including 16 RCT study designs, 30 CBA study designs, and 54 studies using serial measures (ITS study designs). These studies represented 120 cases of safety interventions. The number of participants included 31,971,908 individuals in 59 safety interventions, 417,693 groups/firms in 35 safety interventions, and 15,505 injuries in 17 safety interventions. Out of the 59 safety interventions, two were evaluating national prevention measures, which alone accounted for 31,667,110 individuals. The remaining nine safety interventions used other types of measures, such as safety exposure, safety observations, gloves or claim rates. Strong evidence supports greater effects being achieved with safety interventions directed toward the group or organization level rather than individual behavior change. Engineering controls are more effective at reducing injuries than other approaches, particularly when engineered changes can be introduced without requiring "decision‐to‐use" by workplaces. Multifaceted approaches combining intervention elements on the organizational level, or across levels, provided moderate to strong effects, in particular when engineering controls were included. Interventions based on firm epidemiologic evidence of causality and a strong conceptual approach were more effective. Effects that are more modest were observed (in short follow‐up) for safety climate interventions, using techniques such as feedback or leadership training to improve safety communication. There was limited evidence for a strong effect at medium‐term with more intense counseling approaches. Evidence supports regulation/legislation as contributing to the prevention of accidents at work, but with lower effect sizes. Enforcement appears to work more consistently, but with smaller effects. In general, the results were consistent with previous systematic reviews of specific types of safety interventions, although the effectiveness of economic incentives to prevent accidents at work was not consistent with our results, and effectiveness of physiological safety intervention was only consistent to some extent. Limitations: Acute musculoskeletal injuries and injuries from more long‐time workplace exposures were not always clearly distinguished in research reports. In some studies acute and chronic exposures were mixed, resulting in inevitable misclassification. Of note, the classification of these events also remains problematic in clinical medicine. It was not possible to conduct meta‐analyses on all types of interventions (due to variability in approach, context, and participants). The findings presented for most intervention types are from limited sources, and assessment of publication bias was not possible. These issues are not surprising, given the breadth of the field of occupational safety. To incorporate studies using serial measures, which provide the only source of information for some safety interventions such as legislation, we took a systematic, grounded approach to their review. Rather than requiring more stringent, specific criteria for inclusion of ITS studies, we chose to assess how investigators justified their approach to design and analyses, based on the context in which they were working. We sought to identify measures taken to improve external validity of studies, reasonable statistical inference, as well as an overall appropriate inferential process. We found the process useful and enlightening. Given the new approach, we may have failed to extract points others may find relevant. Similarly, to facilitate the broad nature of this review, we used a novel categorization of safety interventions, which is likely to evolve with additional use. The broad scope of this review and the time and resources available did not allow for contacting authors of original papers or seeking translation of non‐English manuscripts, resulting in a few cases where we did not have sufficient information that may have been possible to obtain from the authors. Conclusions and Implications of Key Findings: Our synthesis of the relative effectiveness of workplace safety interventions is in accordance with the Public Health Hierarchy of Hazard Control. Specifically, more effective interventions eliminate risk at the source of the hazard through engineering solutions or the separation of workers from hazards; effects were greater when these control measures worked independently of worker "decision‐to‐use" at the worksite. Interventions based on firm epidemiological evidence of causality and clear theoretical bases for the intervention approach were more effective in preventing injuries. Less effective behavioral approaches were often directed at the prevention of all workplace injuries through a common pathway, such as introducing safety training, without explicitly addressing specific hazards. We caution that this does not mean that training does not play an essential function in worker safety, but rather that it is not effective in the absence of other efforts. Due to the potential to reach large groups of workers through regulation and enforcement, these interventions with relatively modest effects, could have large population‐based effects. [ABSTRACT FROM AUTHOR]

A fall-from-height accident is considered a major leading cause of construction fatalities. The analysis of accident characteristics could offer effective guidance to the construction industry to prevent falls from heights. By using accident statistical analysis and typical case investigation, this study indicates the basic pattern and reviews in detail the conditions of a fall-from-height incident in China. The result shows that more fatal fall-from-height accidents occur from 10 a.m. to 11 a.m. and 3 p.m. to 4 p.m. Accidents on weekdays are nearly as many as on weekends. The lowest incidence month is February. Accidents resulting in one death take most of the total. Furthermore, not fastening a safety belt is among the leading reasons workers die after falling from heights. Victims in fall-from-height accidents are mostly male workers. Fall heights are most often less than 15 meters. This study serves to alert construction safety policymakers to diagnose the current state of fallfrom-height accidents and provides a targeted direction for improving the safety record of work at height. [ABSTRACT FROM AUTHOR]

Copyright of Polish Nursing / Pielegniarstwo Polskie is the property of Poznan University of Medical Sciences Publishing and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article focuses on the launch of the application phase for the "Deutscher Arbeitsschutzpreis" (DASP) 2025, an award recognizing exemplary solutions in workplace safety and health protection. Topics include the start of the application period, the award's significance as the highest national recognition for innovative safety solutions, and the categories for which solutions will be awarded, ranging from strategic management to individual health measures.

Occupational accidents in the construction sector are still a major concern with relevant costs at different levels, both individually and socially. We developed and tested two structural equation models to study, from the workers' point of view, the mediator role of working conditions and safety leadership on the relationship between safety culture and safety performance, in a Portuguese firm. This quantitative and correlational case study applied a questionnaire to a convenience sample of 320 workers. A structural equation modeling analysis showed that safety culture was predominant in predicting safety performance and that working conditions mediated this relationship, but safety leadership did not. The results allow company's managers gaining certain insights about the role of safety culture, working conditions and safety leadership on safety performance prediction and in the work accidents' prevention. Furthermore, likely may help to understand what is going on in other firms, in construction sector in Portugal, and to identify problematic areas needing to be addressed. [ABSTRACT FROM AUTHOR]

Copyright of e-Revista Internacional de la Protección Social is the property of e-Revista Internacional de la Proteccion Social and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Work accidents are serious issues that disrupt harmonious environment in workplace. They cause not only death, injury or disability of employees, but also serious financial loss for businesses and countries. Work accidents are highly preventable incidents, when necessary, precautions are taken. Like the whole world, in Turkey also there are risky sectors where work accidents are intensified. The identification of risky sectors in Turkey, is the first step of being able to fight against work accidents in this sector. Therefore, in this study the riskiest sectors in Turkey were investigated basing on the official accident data from the last ten years. Thus, first of all, the sectoral distribution of work accidents, death and permanent incapacity cases that occurred in Turkey in 2010-2019 was examined. Sectors were evaluated in terms of six different parameters: the number of work accidents, the number of deaths because of work accidents, the number of permanent incapacities because of work accidents, general accident incidence rate, fatal accident incidence rate, and permanent incapacity accident incidence rate. The top ten sectors with intensity have been determined for each parameter. Then, all these data were combined and the ten most risky sectors in Turkey in terms of work accidents were defined. In the last 10 years, the sector of "41-Building Construction" has been found to be the riskiest sector in Turkey, where the most work accidents have occurred, the most employees die and the most employees are permanently disabled. On the other hand, the "05-Mining of Coal and Lignite" sector, in which the general accident incidence rate, fatal accident incidence rate, and permanent incapacity accident incidence rate values are the highest, was the second most risky sector. [ABSTRACT FROM AUTHOR]

Introduction: Hospital is one of the high-risk workplaces in terms of safety and health. Nurses are the most vulnerable health workers to work accidents because they have the most number in a hospital and most often interact with patients. Safety performance is very important for the prevention of work accidents. This research aimed to analyze the influence of safety management practices on safety performance in nurses of the emergency installation at X Hospital of Surabaya. Methods: This research was an observational research with the cross-sectional design. It was conducted in May to June 2019. The population in this study was 208 nurses and the sample obtained using a simple random sampling technique involving 68 nurses. In assessing safety management practices and safety performance, the researcher used questionnaires, observation, and interviews. Results: The results presented that safety training which was a dimension of safety management practices affected on the safety performance with a p-value 0.000. Suggestions in this research, to improve safety performance, management can conduct specific and periodic safety training, holding safety briefing and safety talk on a regular basis, and implementing a safety award by applying a system of reward and punishment. Conclusion: Hospital management still needs to schedule a specific and periodic safety training for nurses. Furthermore, to improve safety performance, management can holding safety briefing and safety talk on a regular basis, and implementing a safety award by applying a system of reward and punishment. [ABSTRACT FROM AUTHOR]

Historically, the conflict of interests between employers and workers obliged the State to assume the role of regulating this relationship, instituting laws and overseeing the application of health and safety standards at work. The Accident Prevention Factor (FAP) is one of these guidelines. This article aims to analyze the correlations between the FAP and the risk rate for occupational accidents in Brazil in the period between 2006 and 2016. Ecological study, which analyzed the occupational accidents, registered in the Brazilian Social Security database in the period between 2006 and 2016. The analysis included the calculation of accident risk rates according to the Brazilian regions, divisions of the CNAE, reason/situation, ICD-10 chapters, sex and age. The comparison between results from the two periods was performed using the average risk rates from the two periods using Student t test, Spearman correlation and beta value. Basically, all rate series analyzed had a strong downward trend in the FAP period, contrary to what occurred in the immediately previous period. [ABSTRACT FROM AUTHOR]

Copyright of Industrial Relations / Relations Industrielles is the property of Universite Laval, Department of Industrial Relations and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BACKGROUND: In industrial towns, the dangers of each industry also poses a threat to other industries due to the proximity of different industries to each other. So there is a need for a safety management system. OBJECTIVE: This study was conducted to introduce a management system for managing the safety of industrial towns. METHOD: This cross-sectional and qualitative study was conducted in three main phases: (1) Identify the elements of the safety management systems using literature review, (2) screening and determining useful elements using Delphi technique and (3) determining the structure of safety management system. RESULTS: Participation of the industries and their compliance with the standards were considered as the system foundation. The networks of safety information of the industries, accident's database, safety training, contractors, emergency management and management of the changes were placed on the foundation as the system columns. The Industrial Town's Safety Management (ITSM) system as the system roof was placed on the columns. This structure was placed within a two-line framework including the trade secrets and program audit. CONCLUSIONS: The ITSM system consists of a set of factors that can help manage the safety of the industrial towns. This system will increase the safety level of industrial towns by incorporating some safety principles. However, the safety management of an industrial town is very complex and requires a great deal of efforts. [ABSTRACT FROM AUTHOR]

• Compared five clustering algorithms. • Used interpretable clustering to analyse truck driver safety climate perception. • Analysed relative importance of safety climate factors to each driver's cluster. • Proposed an improved method to interpret partial dependent plots. The transportation industry, particularly the trucking sector, is prone to workplace accidents and fatalities. Accidents involving large trucks accounted for a considerable percentage of overall traffic fatalities. Recognizing the crucial role of safety climate in accident prevention, researchers have sought to understand its factors and measure its impact within organizations. While existing data-driven safety climate studies have made remarkable progress, clustering employees based on their safety climate perception is innovative and has not been extensively utilized in research. Identifying clusters of drivers based on their safety climate perception allows the organization to profile its workforce and devise more impactful interventions. The lack of utilizing the clustering approach could be due to difficulties interpreting or explaining the factors influencing employees' cluster membership. Moreover, existing safety-related studies did not compare multiple clustering algorithms, resulting in potential bias. To address these problems, this study introduces an interpretable clustering approach for safety climate analysis. This study compares five algorithms for clustering truck drivers based on their safety climate perceptions. It also proposes a novel method for quantitatively evaluating partial dependence plots (QPDP). Then, to better interpret the clustering results, this study introduces different interpretable machine learning measures (Shapley additive explanations, permutation feature importance, and QPDP). The Python code used in this study is available at https://github.com/NUS-DBE/truck-driver-safety-climate. This study explains the clusters based on the importance of different safety climate factors. Drawing on data collected from more than 7,000 American truck drivers, this study significantly contributes to the scientific literature. It highlights the critical role of supervisory care promotion in distinguishing various driver groups. Moreover, it showcases the advantages of employing machine learning techniques, such as cluster analysis, to enrich the scientific knowledge in this field. Future studies could involve experimental methods to assess strategies for enhancing supervisory care promotion, as well as integrating deep learning clustering techniques with safety climate evaluation. [ABSTRACT FROM AUTHOR]

• Analyzed the cause of secondary explosion accident in Hushan Gold mine in China. • Clarified the direct and indirect causes of the accident. • Calculated and verified the direct cause of the secondary explosion accident. • Put forward the suggestions for preventing secondary explosion accidents in mines. Explosion accidents often occur during mining, especially sudden secondary explosions, which pose a serious threat to the life and property safety of employees. Based on the development process and consequences of typical secondary explosion accidents in Hushan Gold Mine, Qixia City, Shandong Province, China, this paper uses accident analysis model and cone measurement calculation method to determine the direct cause of secondary explosion accidents. The main conclusions are as follows: The HFACS-CM model is used to analyze the causes of secondary explosion from five aspects: external environment, organizational influence, unsafe leadership, the prerequisite conditions of unsafe behavior and unsafe behavior. It is found that the CO ignition explosion in the mining process is the direct cause of secondary explosion. Then, combined with the experimental data of the cone measuring instrument, the field CO amount was calculated, and the M CO ≥ 101.4 m3 was obtained, indicating that the CO production did reach the condition of explosion range, and the analysis results of the model were verified. Through HFACS-CM model analysis and calculation verification, the key causes of secondary explosion accidents in such mines are found and lessons are learned, which provides an effective reference for the effective prevention of deflagration accidents in the field of mine safety. [ABSTRACT FROM AUTHOR]

The article focuses on preventing workplace accidents, despite approximately 788,000 reportable occupational accidents occurring in 2022. It discusses the new regulation requiring electronic submission of accident data and emphasizes the importance for companies to systematically record accidents and derive key metrics from them, suggesting suitable tools to facilitate this process.