Occurrence Of Incidents Research Articles

Situational Awareness Errors in Forklift Logistics Operations: A Multiphase Eye-Tracking and Think-Aloud Approach

Background: This study explores forklift operators’ situational awareness (SA) and human errors in logistic operations using a multiphase approach as an innovative methodology. Methods: Ethnography, eye tracking, error taxonomy, and retrospective think-aloud (RTA) were used to study the diverse cognitive, behavioral, and operational aspects affecting SA. After analyzing 566 events across 18 tasks, this research highlighted eye tracking’s potential by offering real-time insights into operator behavior and RTA’s potential as a method for cross-checking the causal factors underlying errors. Results: Critical tasks, like positioning forklifts and lowering pallets, significantly impact incident occurrence, while high-cognitive demand tasks, such as hoisting and identifying pedestrians/obstacles, reduce SA and increase errors. Driving tasks are particularly vulnerable to errors and are the most affected by operator risk generators (ORGs), representing 42% of incident risk events. This study identifies driving, hoisting, and lowering loads as the tasks most influenced by system factors. Limitations include the task difficulty levels, managing physical risk, and training. Future research is suggested in autonomous industrial vehicles and advanced driver assistance systems (ADASs). Conclusions: This study provides valuable insights into how we may improve safety in logistics operations by proposing a multiphase methodology to uncover the patterns of attention, perception, and cognitive errors and their impact on decision-making.

A machine learning approach to quantify effects of geometric design features and traffic control devices on wrong-way driving incidents at partial cloverleaf interchange terminals

This study addresses the issue of wrong-way driving (WWD) incidents at partial cloverleaf (parclo) interchange terminals in the United States. These incidents are a safety concern, often attributed to geometric design features and inadequate traffic control devices (TCDs). While previous research has acknowledged the significance of parclo interchanges as common initial entry points for WWD crashes, few studies have comprehensively quantified the impact of TCDs and design features on recurring WWD incidents.In response, this study collected data from 75 parclo interchange terminals spanning 13 states. A subset of 28 ramp terminals exhibiting recurrent WWD incidents, amounting to 410 incidents during the data collection phase, received focused attention. Leveraging modern machine learning methodologies, two techniques: eXtreme Gradient Boosting (XGboost) and Lasso-logistic regression were applied to quantify the influence of distinct TCDs and design features on the probability of WWD incidents occurring.The outcomes of this analysis revealed noteworthy results: the fitted XGboost model displayed an average accuracy of 80%, closely followed by the fitted Lasso-logistic regression model with an average accuracy of 78%. These models were subsequently employed to construct a practical network screening tool. This tool assists in the identification of potential WWD incident locations, predicated on the effects of TCDs and design characteristics.The significance of this study lies in its potential to inform and guide state and local transportation agencies in enhancing the safety of parclo interchange terminals. By discerning the impacts of TCDs and design features, stakeholders can implement improvements that curtail the occurrence of WWD incidents, contributing to enhanced road safety and optimized traffic management.

Reduction in Restraint and Critical Incidents in a Norwegian Residential Treatment Facility for Children Aged 7–13 Following the Implementation of the Neurosequential Model of Therapeutics

In child and adolescent inpatient, residential and day-treatment facilities, the use of physical restraints and the occurrence of critical incidents are a significant problem. Restraints may sometimes be necessary if a child exhibits dangerous aggressive behavior, but may also be misused or overused, and have been shown to be preventable in many cases. This study aims to investigate if the implementation of the Neurosequential Model of Therapeutics (NMT) has an effect on the annual number of physical restraint incidents in a residential treatment facility for children with complex mental health disorders. Data before and after NMT implementation were collected from the agency’s restraint records. The results showed that post-NMT implementation, there was a substantial and sustained reduction in restraint incidents, with a Cohen’s d value of 2.03, indicating a very large effect. Limiting restraint use in treating children with complex mental health disorders can foster a safer and more therapeutic environment, with potential improvements in treatment outcomes. This study demonstrated a substantial drop in restraint incidents following the implementation of the Neurosequential Model in a residential facility for children aged 7–13. This reduction is presumably pivotal for children with complex mental health disorders, making treatment less coercive and offering promise for settings in which restraint incidents are a concern.

Coping difficulties after inpatient hospital treatment: validity and reliability of the German version of the post-discharge coping difficulty scale.

Patients transitioning between different care contexts are at increased risk of experiencing adverse events. In particular, being discharged to home after inpatient treatment involves significant risks. However, there is a lack of valid and internationally comparable assessment tools on patients' experiences of difficulties following hospital discharge. Therefore, this study aimed to adapt and validate the German version of the post-discharge coping difficulty scale (PDCDS-G). Patients were recruited at a German university hospital. 815 adult patients participated in a self-report survey following an inpatient stay of at least three days. Factorial validity of the PDCDS-G was evaluated via factor analyses. Further, examination of measurement invariance was performed. To establish criterion validity, associations with patients' self-reported health status and occurrence of patient safety were determined. Further, group differences regarding patient characteristics, hospitalization factors, and survey-related variables were examined. Factorial validity of the PDCDS-G was confirmed by a two-factorial model with good model fit. Both factors showed good to excellent reliability. The two-factor model achieved measurement invariance across all patient characteristics, hospitalization factors, and survey-related variables. Significant relationships with patients' health status and the occurrence of patient safety incidents corroborate criterion validity of the PDCDS-G. Differential associations of the two PDCDS-G factors regarding patient characteristics, hospitalization, and survey-related variables were found. Construct and criterion validity, as well as the reliability of the PDCDS-G, were verified. Further, instrument's measurement invariance was confirmed allowing use of the scale for the interpretation of group differences and comparisons between studies. The PDCDS-G provides a validated and comparable patient-reported outcomes measure for patient experiences after hospital discharge to home. The PDCDS-G can be used for patient surveys in quality or patient safety improvement in care transition processes.

Hidden in Plain Sight: A Data-Driven Approach to Safety Risk Management for Highway Traffic Officers

Highway traffic officers (HTOs) are often exposed to life-threatening workplace incidents while performing their duties. However, scant research has been undertaken to address these safety concerns. This research explores case study data from highway incident reports (held by National Highways, a UK government company) and employs deep neural network (DNN) in unearthing patterns which inform safety decision makers on pertinent safety challenges confronting HTOs. A mixed philosophical stance of positivism and interpretivism was adopted to synthesise the findings made. A four-phase sequential method was implemented to evaluate the validity of the research viz.: (i) architectural design; (ii) data exploration; (iii) predictive modelling; and (iv) performance evaluation. The DNN model’s predictive performance is benchmarked against three other machine learning models, namely Support Vector Machines (SVM), Random Forest (RF), and Naïve Bayes (NB). The DNN model outperformed the other three models. Findings from the data exploration also show that most work operations undertaken by HTOs have a medium risk level with night shifts posing the greatest risk challenges. Carriageways and traffic management enclosures had the highest incident occurrence. This is the first study to uncover such hidden patterns and predict risk levels using a database specifically for HTOs. This study presents evidence-based information for proactive risk management for HTOs.

The Characteristics of Everyday Life Safety Incidents among Vulnerable Groups

As society diversifies, everyday life safety incidents have emerged as a major social concern. Consequently, support measures for vulnerable groups who are less capable of responding to such accidents are increasingly necessary. This study is intended to diagnose the causes of everyday life safety incidents among vulnerable groups and establish preventive measures by analyzing the spatial, temporal, and variable characteristics of these accidents. The study’s findings reveal distinct spatial patterns and monthly and hourly trends in the occurrence of everyday life safety incidents, with a significant relationship between the age of the vulnerable persons and the accident type. The results of this study are expected to 1) contribute to the development of preventive measures tailored to different vulnerable groups and 2) inform regional safety policies.

Body Mass Index and Postacute Sequelae of SARS-CoV-2 Infection in Children and Young Adults

Obesity is associated with increased severity of COVID-19. Whether obesity is associated with an increased risk of post-acute sequelae of SARS-CoV-2 infection (PASC) among pediatric populations, independent of its association with acute infection severity, is unclear. To quantify the association of body mass index (BMI) status before SARS-CoV-2 infection with pediatric PASC risk, controlling for acute infection severity. This retrospective cohort study occurred at 26 US children's hospitals from March 2020 to May 2023 with a minimum follow-up of 179 days. Eligible participants included children and young adults aged 5 to 20 years with SARS-CoV-2 infection. Data analysis was conducted from October 2023 to January 2024. BMI status assessed within 18 months before infection; the measure closest to the index date was selected. The BMI categories included healthy weight (≥5th to <85th percentile for those aged 5-19 years or ≥18.5 to <25 for those aged >19 years), overweight (≥85th to <95th percentile for those aged 5-19 years or ≥25 to <30 for for those aged >19 years), obesity (≥95th percentile to <120% of the 95th percentile for for those aged 5-19 years or ≥30 to <40 for those aged >19 years), and severe obesity (≥120% of the 95th percentile for those aged 5-19 years or ≥40 for those aged >19 years). To identify PASC, a diagnostic code specific for post-COVID-19 conditions was used and a second approach used clusters of symptoms and conditions that constitute the PASC phenotype. Relative risk (RR) for the association of BMI with PASC was quantified by Poisson regression models, adjusting for sociodemographic, acute COVID severity, and other clinical factors. A total of 172 136 participants (mean [SD] age at BMI assessment 12.6 [4.4] years; mean [SD] age at cohort entry, 13.1 [4.4] years; 90 187 female [52.4%]) were included. Compared with participants with healthy weight, those with obesity had a 25.4% increased risk of PASC (RR, 1.25; 95% CI, 1.06-1.48) and those with severe obesity had a 42.1% increased risk of PASC (RR, 1.42; 95% CI, 1.25-1.61) when identified using the diagnostic code. Compared with those with healthy weight, there was an increased risk for any occurrences of PASC symptoms and conditions among those with obesity (RR, 1.11; 95% CI, 1.06-1.15) and severe obesity (RR, 1.17; 95% CI, 1.14-1.21), and the association held when assessing total incident occurrences among those with overweight (RR, 1.05; 95% CI, 1.00-1.11), obesity (RR, 1.13; 95% CI, 1.09-1.19), and severe obesity (RR, 1.18; 95% CI, 1.14-1.22). In this cohort study, elevated BMI was associated with a significantly increased PASC risk in a dose-dependent manner, highlighting the need for targeted care to prevent chronic conditions in at-risk children and young adults.

Identifying Factors of Dynamic Positioning Incidents through Association Rule Mining

Accidents in the offshore industry can have severe repercussions for people, cargo, vessels, and the environment, making maritime safety a crucial concern. Dynamic positioning incidents, particularly those involving loss of position, represent a significant risk. This study employs association rule mining to analyze DP incident data, leveraging its strength in discovering robust associations. Using the Apriori algorithm, the analysis identifies strong association rules for loss of position (drift-off, drive-off) and loss of redundancy situations. The findings reveal event-related variables and potential causal relationships, providing insights and guidance for reducing the risk and occurrence of future DP incidents through stringent and targeted safety measures.

The impact of fuel cell vehicle exhaust grille shape under natural ventilation on hydrogen leakage and diffusion

The rapid progression of hydrogen fuel cell vehicles has brought forth various challenges, primarily the frequent occurrence of hazardous incidents stemming from hydrogen leakage and diffusion. Consequently, there is a growing emphasis on hydrogen safety, leading to the development of stricter standards and regulations to mitigate the associated safety risks. Research on the design of exhaust port structures to facilitate the safe diffusion of hydrogen after leakage in diverse scenarios has become increasingly significant. This study examines the impact of exhaust grille shapes on hydrogen leakage and diffusion phenomena within the hydrogen storage compartment of fuel cell vehicles under natural ventilation conditions. Five distinct porous grille shapes were examined: rectangular, circular, square, rhombic, and hexagonal grilles. Numerical simulations of hydrogen leakage and diffusion within the compartment were conducted using Cradle scFLOW software. The effectiveness of the different grille shapes was assessed using several criteria, including average hydrogen molar fraction, pressure drop (indicative of negative pressure regions), density, and Richardson number. Overall, the rectangular grille exhibited superior performance in facilitating hydrogen venting.

ANALYSIS OF SCHOOL VIOLENCE IN BRAZIL

School violence has emerged as an issue of great national relevance following the occurrence of tragic incidents involving children in different states of Brazil. These shocking events raised serious concerns about safety within educational institutions and highlighted the urgency of addressing the issue of school violence throughout the country. This article aims to analyze violence in high schools through the responses of school principals. The database is based on the results of the Basic Education Assessment System (SAEB) in the years 2019 and 2021, in the context of the Brazilian states. The data show a decrease in the types of violence reported between 2019 and 2021, with the exception of the Robbery type. For the year 2021, where new types of violence were introduced, mainly of a psychological nature, the data are worrying with regard to Bullying, Vandalism and the complete lack of perception of Sexual Harassment. By better understanding the dynamics of school violence, it will be possible to develop approaches to increase social capital, thus promoting a safer and more welcoming school environment and, consequently, an increase in human capital.

Industrial policy persistence and local economic performance: The role of subsidy allocation in China

The persistence of economic policies is crucial for their effectiveness and economic outcomes. However, debates on industrial policy effectiveness have primarily focused on policy tools and target sectors, with little attention given to policy persistence. This paper addresses this gap by evaluating how policy persistence during subsidy implementation affects policy effectiveness. We measure policy persistence using cosine similarity between vectors reflecting the cross-industry distribution of subsidies over consecutive years and instrument it with the occurrence of abrupt public safety incidents. Our results reveal a significantly positive effect of subsidy allocation persistence on local economic performance. This effect is stronger when local governments are influential or industries need consistent government support and weaker when policy changes are more predictable or local officials are less prone to decision-making mistakes. We further provide micro-level evidence showing that the persistence of industrial policies impacts local economic performance by influencing the activities of local businesses.

The changing food allergen landscape in Europe calls for harmonised food allergen monitoring: Position paper

With the changing food allergen landscape in Europe, there is an increasing need for the monitoring of (non-)prepacked food products to improve the protection of consumers with food allergies. Although food allergy is a condition affecting up to 10 % of the consumers worldwide, a European harmonised approach for the management of precautionary allergen labelling, allergen reference doses, analytical methods or food product monitoring is not in place. This leads to limited food choices for consumers with food allergies but can also result in the occurrence of serious allergic incidents. The current state of non-harmonised and unregulated food allergen monitoring in Europe means risks and considerable costs for the individual consumer, but also for society in general. In this position paper, we argue for the introduction of harmonised guidelines for food allergen monitoring on the European level based on a discussion of the wide-ranging implications their lacking entails. We believe that there is a pressing need to update the European legislation on food allergens, including the introduction of harmonised monitoring programmes, which will lead to improved overall food safety, and better protection and options for consumers with food allergies.

Cryptocurrency hacking and trader behavior in bitcoin futures

We investigate the effect of cryptocurrency hacking on trader positions in CME bitcoin futures. Our results indicate that the occurrence of hacking and fraudulent incidents lead to more net-short positions and fewer participation ratio for leveraged funds in bitcoin futures. Additionally, U.S. dollar index, futures basis, and price efficiency also play significant roles in the trading of leveraged funds. Lastly, we find that the number of hacking incidents negatively affects dealers’ net-long positions. This study provides new insights into trader behaviors in bitcoin futures and offers practical implications for bitcoin investors and regulators.

Mining industry development, enforcement intensity of security policy and intra-city development disparity

China, the world's largest developing country, is rich in mineral resources, albeit unevenly distributed geographically. Some cities with a surplus of mineral resources may form path dependence on these natural resource industries, leading to imbalanced urban development and widening development disparities within cities. However, in the event of safety incidents in the mining industry, local governments are compelled to regulate the excessive development of the mining sector and enhance the enforcement intensity of safety production policies. This study, based on the measurement of the Gini coefficient using nighttime light data for 281 prefecture-level cities in China, manually compiled the locations and death tolls of mining industry production safety incidents from 2001 to 2020, established an empirical analysis framework based on the instrumental variable two-stage least squares method. The research findings indicate: (1) Since the beginning of the 21st century, China's mining industry has experienced significant growth propelled by market-oriented reforms. However, it has also played a notable role in widening development disparities within cities. Robust results were obtained through instrumental variable estimation using the standard deviation of urban ground slope as a geographical indicator. (2) The occurrence of safety incidents in the mining industry will immediately escalate the enforcement intensity of regional safety policies, creating a significant inhibitory impact on alleviating the widening development disparities within cities caused by the expansion of the mining industry. In the case of larger safety incidents with a death toll of 3 or more, this impact will become even more pronounced. (3) Heterogeneity analysis reveals that the outlined mechanism is prominently present in the middle area, where the mining industry is relatively developed. In contrast, there is no significant correlation between the occurrence of safety accidents and the escalation of safety policy implementation intensity in the economically developed eastern region and the western region with lower levels of infrastructure development. However, in cities with a higher proportion of the mining industry, the aforementioned relationships remain stable. (4) Once a mining accident involving fatalities occurs in a prefecture-level city, local governments generally strengthen the enforcement of safety policies, comprehensively eliminate hidden dangers in production safety. This shift leads to a reversal in the impact of the mining industry on the development disparity within the city, changing from an expansion to a reduction effect. Moreover, this reduction effect persists for five years. In the case of a serious safety production incident resulting in 10 or more deaths, the impact of increased implementation of safety policies also extends for a prolonged period of five years. This article makes a clear marginal contribution to enrich the study on the effects of China's mining industry safety policies.

Global Assessment of Diarrhoea Impact on Childhood Stunting, Wasting and Underweight

Diarrhoea is considered as one of the major challenges and causes behind malnutrition related issues in children, including stunting, wasting and under-weight. Stunting, wasting and under-weight are considerably some of the most challenging health problems that occur among children under the age of 5 years, with an increased vulnerability towards the disease. Globally, these are some of the most incident occurrences to children, with low- and middle-income countries facing the vulnerability most strongly. The study had conducted a globally focused evaluation, with special focus on the countries India, Bangladesh, Pakistan, Nigeria and Ethiopia.

Heightened migraine risk in patients with rheumatoid arthritis: A national retrospective cohort study.

This study aimed to evaluate the association between rheumatoid arthritis (RA) and subsequent migraine risk using the Korean National Health Insurance Service database. Migraine may be related to immune dysfunction and previous studies have suggested an association with chronic inflammatory rheumatic diseases; however, the relationship between RA and migraine remains unclear. This was a population-based, nationwide, retrospective, longitudinal cohort study. Participants were enrolled from 2010 to 2017 and followed up until 2019. A total of 42,674 patients who had undergone a health checkup within 2 years prior to the initial diagnosis of RA were included in the study, after applying the exclusion criteria (previous migraine, other rheumatic disease, missing variables of interest). A non-RA control was obtained by age and sex-matching (1:5). Finally, 42,644 patients with RA were enrolled, with 213,370 individuals without RA included as controls. Among the patients with RA, 29,744 had seropositive RA (SPRA), and 12,900 had seronegative RA (SNRA). SPRA was defined by the International Classification of Diseases 10th revision (ICD-10) code M05, prescription of disease-modifying anti-rheumatic drugs (DMARDs), and enrollment in a special copayment reduction program. SNRA was defined by the ICD-10 code M06 and prescription of any DMARD. The primary endpoint was the occurrence of migraine incidents, defined using the ICD-10 code of migraine (G43). A total of 22,294 migraine cases (17,912/213,370 [8.3%] in controls and 4382/42,674 [10.2%] in RA) were reported during a mean follow-up of 4.4 years after a 1-year lag period. Patients with RA had a 1.2-fold higher risk of migraine compared with controls (adjusted hazard ratio [aHR] 1.21, 95% confidence interval [CI] 1.17-1.26). Increased risk of migraine was found in both patients with SNRA and SPRA compared with controls (aHR 1.20, CI 1.15-1.24 in SPRA; aHR 1.26, CI 1.19-1.34 in SNRA). Compared to patients with SNRA, those with SPRA did not demonstrate a heightened risk (aHR 0.94, CI 0.88-1.01). A significant interaction was confirmed between covariates (male, current smoker, those with diabetes mellitus, and dyslipidemia) and the risk of migraine (p for interaction of <0.05). RA was linked to a higher migraine risk, regardless of seropositivity.

Lessons learnt from a 2017 Irish national clinical claims review: a retrospective observational study

ObjectiveLearning from adverse outcomes in health and social care is critical to advancing a culture of patient safety and reducing the likelihood of future preventable harm to service users. This...

Translational Bioethics in China: Brain-Computer Interface Research as a Case Study.

The research and development of emerging technologies has potential long-term and societal impacts that pose governance challenges. This essay summarizes the development of research ethics in China over the past few decades, as well as the measures taken by the Chinese government to build its ethical governance system of science and technology after the occurrence of the CRISPR-babies incident. The essay then elaborates on the current problems of this system through the case study of ethical governance of brain-computer interface research, and explores how the transition from research ethics to translational bioethics, which encourages interdisciplinary collaboration and focuses on societal implications, may respond to the challenges of ethical governance of science and technology.

Olson's Theory of Collective Action and Online Mass Incidents

This study adopts a case analysis approach, examining the cause of online mass incidents through the fire incident at Zhonglan Apartment Complex of Communication University of China. Ultimately, the author concludes that from the perspective of group size, the primary reason for the occurrence of online mass incidents lies in the disparity between costs and benefits. When costs significantly outweigh benefits, groups are less likely to take action; conversely, when costs are substantially lower than benefits, the opposite occurs. Based on this conclusion, public authorities can devise tailored response measures for online mass incidents involving different group sizes.

Adiposity modifies the association between heart failure risk and glucose metabolic disorder in older individuals: a community-based prospective cohort study

BackgroundGlucose metabolic disorder is associated with the risk of heart failure (HF). Adiposity is a comorbidity that is inextricably linked with abnormal glucose metabolism in older individuals. However, the effect of adiposity on the association between glucose metabolic disorder and HF risk, and the underlying mechanism remain unclear.MethodsA total of 13,251 participants aged ≥ 60 years from a cohort study were categorized into euglycemia, prediabetes, uncontrolled diabetes, and well-controlled diabetes. Adiposity was assessed using body mass index (BMI), waist-to-hip ratio (WHR), and visceral fat area (VFA). Adiposity-associated metabolic activities were evaluated using adiponectin-to-leptin ratio (ALR), homeostatic model assessment of insulin resistance (HOMA-IR), and triglyceride-glucose index (TyG). The first occurrence of HF served as the outcome during the follow-up period.ResultsA total of 1,138 participants developed HF over the course of an average follow-up period of 10.9 years. The rate of incident HF occurrence was higher in prediabetes, uncontrolled diabetes, and well-controlled diabetes participants compared to that in euglycemia participants. However, the high rates were significantly attenuated by BMI, VFA, and WHR. For WHR in particular, the hazard ratio for incident HF was 1.18 (95% confidence interval (CI): 1.03, 1.35, Padj.=0.017) in prediabetes, 1.59 (95% CI: 1.34, 1.90, Padj.<0.001) in uncontrolled diabetes, and 1.10 (95% CI: 0.85, 1.43, Padj.=0.466) in well-controlled diabetes. The population attributable risk percentage for central obesity classified by WHR for incident HF was 30.3% in euglycemia, 50.0% in prediabetes, 48.5% in uncontrolled diabetes, and 54.4% in well-controlled diabetes. Adiposity measures, especially WHR, showed a significant interaction with glucose metabolic disorder in incident HF (all Padj.<0.001). ALR was negatively associated and HOMA-IR and TyG were positively associated with BMI, WHR, VFA, and incident HF (all Padj.<0.05). ALR, HOMA-IR, and TyG mediated the associations for BMI, WHR and VFA with incident HF (all Padj.<0.05).ConclusionsAdiposity attenuated the association of glucose metabolic disorder with incident HF. The results also showed that WHR may be an appropriate indicator for evaluating adiposity in older individuals. Adiposity-associated metabolic activities may have a bridging role in the process of adiposity attenuating the association between glucose metabolic disorder and incident HF.Trial registrationretrospectively registered number: ChiCTR-EOC-17,013,598.