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Purpose – Patient safety and adverse events continue to present significant challenges to the US health care delivery system. Mandated reporting of adverse events can be a mechanism to “coerce” hospitals to identify, evaluate, and ultimately improve the quality and safety of patient care. The objective of this study is to determine if the coercion of mandated reporting impacts hospital patient safety scores.

Methods – We utilize the US News and World Report 2012–2013 Best Hospital Rankings which includes patient safety data from US teaching hospitals. The dependent variable is a composite measure of six indicators of patient safety during and after surgery. The independent variable is state mandated reporting of hospital adverse events. Three control variables are included: Magnet accreditation status, surgical volume, and the percentage of surgical admissions.

Findings – Using ordered logistic regression (n = 670 hospitals) we find a positive, but not significant, relationship between state mandated reporting and better patient safety scores.

Implications – This finding suggests that regulatory policy may not actually prompt performance improvement, and our data point to the need for further study of both formal and informal processes to manage patient safety within the hospital.

Originality – While increased reporting of adverse events has been linked to hospitals providing safer care, no research to date has examined whether or not state-level mandates actually lead to improvements in patient safety.

Between 2020 and spring 2022, health safety was the new pressing concern among the risks at major events. It seemed that it – respectively hygiene as part of infection control – was as important as event safety if an event in Germany was to be approved. Problems aroused in terms of an equal implementation in practice. This article therefore addresses how safety and hygiene aspects interacted during event planning and implementation phases.

The authors draw on qualitative data from a German research project. They use results from eleven semi-structured expert interviews and four field observations at major events. One guiding assumption in the content analysis is that there are major interrelations between event and health safety concepts, which become visible during planning and the implementation of event-related technical, organisational and personal measures.

The empirical data shows that hygiene is not perceived as an integral part of event safety, but rather as a disconnected pillar beside the “classical” event safety. This is reflected in an imbalanced attention as well as in separate, disintegrated concepts. This disconnectedness leaves room for unwanted interplays between event and health safety as well as potential legitimacy facades.

Most studies to date focus on the effectiveness of hygiene concepts and impacts of COVID-19 on the event sector in general without taking a closer look at interactions between event safety and health safety.

This study aims to introduce the reader to some problems faced by safety practitioners operating within an airline safety department, particularly risk assessment subjectivity, and processing of flight data monitoring events. In doing so, it attempts to propose solutions to these issues.

Quality management tools, including six sigma, in combination with flight data monitoring, are proposed as a solution to the issues identified.

The proposed solutions reduce the subjectivity of some risk assessments and help airlines to efficiently process flight data monitoring events.

This paper presents a two-part case study of how these issues have been dealt with by an airline. However, as demonstrated by the literature review, there seems to exist further advanced methods, some of them still in a developmental stage, to deal more effectively with the problems discussed.

This study is particularly directed and more valuable to small-scale airlines. These are more susceptible to the lack of resources needed to implement advanced approaches into the safety management system, but still want to adopt a systematic way of conducting business. Furthermore, it highlights common issues faced by safety practitioners in airlines and should hopefully stimulate the discussion around the topic and promote other academics/practitioners to share viable solutions.

This study aims to improve the reliability of emergency safety barriers by using the subjective safety analysis based on evidential reasoning theory in order to develop on a framework for optimizing the reliability of emergency safety barriers.

The emergency event tree analysis is combined with an interval type-2 fuzzy-set and analytic hierarchy process (AHP) method. In order to the quantitative data is not available, this study based on interval type2 fuzzy set theory, trapezoidal fuzzy numbers describe the expert's imprecise uncertainty about the fuzzy failure probability of emergency safety barriers related to the liquefied petroleum gas storage prevent. Fuzzy fault tree analysis and fuzzy ordered weighted average aggregation are used to address uncertainties in emergency safety barrier reliability assessment. In addition, a critical analysis and some corrective actions are suggested to identify weak points in emergency safety barriers. Therefore, a framework decisions are proposed to optimize and improve safety barrier reliability. Decision-making in this framework uses evidential reasoning theory to identify corrective actions that can optimize reliability based on subjective safety analysis.

A real case study of a liquefied petroleum gas storage in Algeria is presented to demonstrate the effectiveness of the proposed methodology. The results show that the proposed methodology provides the possibility to evaluate the values of the fuzzy failure probability of emergency safety barriers. In addition, the fuzzy failure probabilities using the fuzzy type-2 AHP method are the most reliable and accurate. As a result, the improved fault tree analysis can estimate uncertain expert opinion weights, identify and evaluate failure probability values for critical basic event. Therefore, suggestions for corrective measures to reduce the failure probability of the fire-fighting system are provided. The obtained results show that of the ten proposed corrective actions, the corrective action “use of periodic maintenance tests” prioritizes reliability, optimization and improvement of safety procedures.

This study helps to determine the safest and most reliable corrective measures to improve the reliability of safety barriers. In addition, it also helps to protect people inside and outside the company from all kinds of major industrial accidents. Among the limitations of this study is that the cost of corrective actions is not taken into account.

Our contribution is to propose an integrated approach that uses interval type-2 fuzzy sets and AHP method and emergency event tree analysis to handle uncertainty in the failure probability assessment of emergency safety barriers. In addition, the integration of fault tree analysis and fuzzy ordered averaging aggregation helps to improve the reliability of the fire-fighting system and optimize the corrective actions that can improve the safety practices in liquefied petroleum gas storage tanks.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This paper aims to explore augmented reality (AR) applications in construction safety academic literature and propose possible improvements for future scholarly works. The paper explicitly focuses on AR integration with Construction 4.0 technologies as an effective solution to safety concerns in the construction industry.

This study applied a systematic review approach. In total, 387 potentially relevant articles from databases were identified. Once filtering criteria were applied, 29 eligible papers where selected. The inclusion criteria were being directly associated with construction safety focused on an AR application and AR interactions associated with the Construction 4.0 technologies.

This study investigated the structure of AR applications in construction safety. To this end, the authors studied the safety purposes of AR applications in construction safety: pre-event (intelligent operation, training, safety inspection and hazard alerting), during-event (pinpointing hazard) and post-event (safety estimation) applications. Then, the integration of AR with Construction 4.0 technologies was elaborated. The systematic review also revealed that the AR integration has contributed to developing several technical aspects of AR technology: display, tracking and human–computer interaction. The study results indicate that AR integration with construction is effective in mitigating safety concerns; however, further research studies are required to support this statement.

This study contributes to exploring applications and integrations of AR into construction safety in order to facilitate the leverage of this technology. This review can help encourage practitioners and researchers to conduct further academic investigations into AR application in construction safety.

This paper aims to explore the development and application of place crowd safety management tools for areas of public assembly and major events, from a practitioner perspective.

The crowd safety risk assessment model is known as design, information, management-ingress, circulation, egress (DIM-ICE) (Still, 2009) is implemented to optimise crowd safety and potentially throughput. Three contrasting case studies represent examples of some of the world’s largest and most challenging crowd safety projects.

The paper provides some insight into how the DIM-ICE model can be used to aid strategic planning at major events, assess potential crowd risks and to avoid potential crowd safety issues.

It provides further clarity to what effective place management practice is. Evidence-based on the case studies demonstrates that the application of the DIM-ICE model is useful for recognising potential place crowd safety issues and identifying areas for require improvement.

Crowd science is an emerging field of research, which is primarily motivated by place crowd safety issues in congested places; the application and reporting of an evidence-based model (i.e. DIM-ICE model) add to this. The paper addresses a research gap related to the implementation of analytic tools in characterising place crowd dynamics.

Organizations working in high-hazard environments contribute significantly to modern society and the economy, not only for the valuable resources they hold but also for the indispensable products and services they provide, such as power generation, transportation and defense weapons. Therefore, the main purpose of this study is to develop a framework that outlines future research on systems safety and provides a better understanding of how organizations can effectively manage hazard events.

In this research, we developed the high hazard theory (HHT) and a theoretical framework based on the grounded theory method (GTM) and the integration of three established theoretical perspectives: normal accident theory (NAT), high reliability theory (HRT) and resilience engineering (RE) theory.

We focused on the temporal aspect of accidents to create a timeline showing the progression of hazard events and the factors contributing to safety and hazards in organizations. Given the limitations of the previous theories in providing a coherent explanation of hazard event escalation in high-hazard organizations (HHOs), we argue that the highlighted theories can be more complementary than contradictory regarding their standpoints on disasters and accident prevention.

A proper appreciation of the hazard nature of organizations can help reduce their susceptibility to failure, prevent outages and breakdowns of systems, identify areas for improvement and develop strategies to enhance performance.

By developing HHT, we contribute to systems safety research by developing a new, refined theory and enrich the theoretical debate. We also expand the understanding of scholars and practitioners about the characteristics of organizations working in high-hazard environments.

To investigate the association between implementation of clinical governance and patient safety.

A pre-post study was conducted in an Australian health service following the implementation of clinical governance systems (CGS) in the inpatient wards in 2016. Health service audit data from 2017 on CGS implementation and the rate of adverse patient safety events (PSE) for 2015 (pre-implementation) and 2017 (post-implementation), across 45 wards in six hospitals were collected. CGS examined compliance with 108 variables, based on the Australian National Safety and Quality Health Service standards. Patient safety was measured as PSE per 100 bed days. Data were analysed using odds ratios to explore the association between patient safety and CGS percentage compliance score.

There was no change in PSE between 2015 and 2017 (MD 0.04 events/100 bed days, 95% CI -0.11 to 0.21). There were higher odds that wards with a CGS score >90% reported reduced PSE, compared to wards with lower compliance. The domains of leadership and culture, risk management and clinical practice had the strongest association with the reduction in PSE.

Given that wards with a CGS score >90% showed increased odds of reduced PSE health service boards need to put in place strategies that engage frontline managers and staff to facilitate full implementation of clinical governance systems for patient safety.

The findings provide evidence that implementation of all facets of CGS in a large public health service is associated with improved patient safety.

The study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance.

The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy.

The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize.

In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.