Safety Measures Research Articles

PROBLEMS OF ANALYZING OCCUPATIONAL INJURIES IN THE LIGHT AND TEXTILE INDUSTRIES

Problem statement. One of the main functions of the occupational health and safety management system at enterprises is to analyze occupational injuries and diseases that occur to employees as a result of their work duties in the event of an inadequate state of occupational health and safety at the enterprise. The light and textile industry in Ukraine is characterized by uncertain working conditions, as it is mostly based on small enterprises. The lack of analysis of occupational injuries and their causes complicates the process of developing occupational safety and health measures for enterprises operating in the light and textile industry, respectively. The purpose of the article is to identify the reasons for the complication of the process of analyzing occupational injuries and the issues of analyzing the causes of injuries in the light and textile industries. Conclusions. The analysis of occupational injuries in the light and textile industry has revealed an upward trend in the number of accidents in this sector. Given that over the past four years, the State Statistics Service has not separated the light industry into a separate statistical data collection point, this makes it more difficult to analyze injuries in this area. It was also found that during 2020−2024, the State Labor Service registered fatal and group accidents that were not related to work in the light and textile industry, but were classified as such because the production itself is engaged in light industry. At the same time, the type of work performed by the victim is more likely to be classified as construction or cargo rather than tailoring. The analysis identified the main problems that prevent the identification of the exact causes of accidents in the light and textile industry.

Enhancing experiential learning through virtual reality: System design and a case study in additive manufacturing

AbstractThe recent advancement in additive manufacturing (AM) leads to an extensive need for an industrial workforce in the near future. Workforce training in AM requires expensive capital investment for installing and maintaining this technology and proper knowledge about potential safety hazards. Traditional classroom settings often fail to bridge the critical gap between textbook learning and practical applications. Virtual reality (VR) training can simulate real‐world scenarios in a safe and controlled environment and improve student involvement to foster practical learning. In this paper, a virtual training platform for 3D printing has been developed and studied to improve AM education. The developed environment contains a selective laser sintering printer, a preparation station with necessary supplies, a control panel for process planning, and a post‐processing station. This platform provides students with excellent learning opportunities to gain hands‐on experiences and critical engineering skills on operating process parameters and safety measures. Undergraduate students majoring in industrial engineering were exposed to this learning approach to enhance their engagement and cognitive processing skills. Students' attentions were measured using eye metrics (fixation duration and preference index), and their exposure experiences were collected through the simulation sickness questionnaire, presence questionnaire, and system usability scale. Pre‐ and post‐VR training questionnaires and performance metrics (task completion time and accuracy) evaluated students' learning outcomes. Results provide valuable insights into students' attention, performance, and satisfaction with virtual training environments. Users' gaze behavior and subjective responses revealed many challenges that will help future researchers develop assistive instructions within this virtual educational platform.

Enhancing work zone crash severity analysis: The role of synthetic minority oversampling technique in balancing minority categories

Road work zones are becoming increasingly common due to the aging infrastructure and the need for capacity enhancement. They present significant safety risks due to narrow lanes, uneven traffic flow, lower speed, and reduced visibility. It is particularly important to understand the role of human behavioral factors in WZ crash injury severity due to difficulty navigating such areas. Furthermore, the crash injury data available is mostly imbalanced, primarily due to the lower incidence of high-cost fatal and severe injuries, and can benefit from the use of emerging analysis techniques. This research study examines a unique dataset comprising 7,855 WZ crashes in Tennessee from 2018 to 2022 as a case study to provide useful insight into the behavioral factors associated with injury severity and how they change after adjusting for the underrepresented fatal and serious injuries within the dataset. The study applies frequentist methods and a machine learning technique enhanced with the Synthetic Minority Oversampling Technique (SMOTE), addressing the data imbalance (relatively fewer fatal and serious injuries) for useful inferences and predictions. The study results indicate that aggressive driving, overspeeding, and drunk driving significantly elevate injury severity. Additionally, after balancing the minority categories of crash injury severity levels, the importance of contributing factors changes. The study offers engineers and data analysts a framework for analyzing imbalanced data, a prevalent issue in crash injury severity analysis. By exploring key behavioral factors responsible for injury severity in WZ crashes, the study provides useful insight and valuable information to traffic safety engineers, transportation agencies, and policymakers to implement enhanced safety measures in WZ design and management, ultimately aiming to mitigate injury severity and to improve overall safety for road users.

Assessing the built environment through photographs and its association with obesity in 21 countries: the PURE Study

The built environment can influence human health, but the available evidence is modest and almost entirely from urban communities in high-income countries. Here we aimed to analyse built environment characteristics and their associations with obesity in urban and rural communities in 21 countries at different development levels participating in the Prospective Urban and Rural Epidemiology (PURE) Study. Photographs were acquired with a standardised approach. We used the previously validated Environmental Profile of a Community's Health photo instrument to evaluate photos for safety, walkability, neighbourhood beautification, and community disorder. An integrated built environment score (ie, a minimum of 0 and a maximum of 20) was used to summarise this evaluation across built environment domains. Associations between built environment characteristics, separately and combined in the integrated built environment score, and obesity (ie, a BMI >30kg/m2) were assessed using multilevel regression models, adjusting for individual, household, and community confounding factors. Attenuation in the associations due to walking was examined. Analyses include 143 338 participants from 530 communities. The mean integrated built environment score was higher in high-income countries (13·3, SD 2·8) compared with other regions (10·1, 2·5) and urban communities (11·2, 3·0). More than 60% of high-income country communities had pedestrian safety features (eg, crosswalks, sidewalks, and traffic signals). Urban communities outside high-income countries had higher rates of sidewalks (176 [84%] of 209) than rural communities (59 [28%] of 209). 15 (5%) of 290 urban communities had bike lanes. Litter and graffiti were present in 372 (70%) of 530 communities, and poorly maintained buildings were present in 103 (19%) of 530. The integrated built environment score was significantly associated with reduced obesity overall (relative risk [RR] 0·58, 95% CI 0·35-0·93; p=0·025) for high compared with low scores and for increasing trend (0·85, 0·78-0·91; p<0·0001). The trends were statistically significant in urban (0·85, 0·77-0·93; p=0·0007) and rural (0·87, 0·78-0·97; p=0·015) communities. Some built environment features were associated with a lower prevalence of obesity: community beautification RR 0·75 (95% CI 0·61-0·92; p=0·0066); bike lanes RR 0·58 (0·45-0·73; p<0·0001); pedestrian safety RR 0·75 (0·62-0·90; p=0·0018); and traffic signals RR 0·68 (0·52-0·89; p=0·0055). Community disorder was associated with a higher prevalence of obesity (RR 1·48, 95% CI 1·17-1·86; p=0·0010). Community built environment features recorded in photographs, including bike lanes, pedestrian safety measures, beautification, traffic density, and disorder, were related to obesity after adjusting for confounders, and stronger associations were found in urban than rural communities. The method presents a novel way of assessing the built environment's potential effect on health. Population Health Research Institute, Hamilton Health Sciences Research Institute, Heart and Stroke Foundation of Ontario, Canadian Institutes of Health Research's Strategy for Patient Oriented Research, Ontario Support Unit, Ontario Ministry of Health and Long-Term Care, AstraZeneca, Sanofi-Aventis, Boehringer Ingelheim, Servier, and GlaxoSmithKline.

Single-dose psilocybin for U.S. military Veterans with severe treatment-resistant depression – A first-in-kind open-label pilot study

BackgroundThe enduring and severe depression often suffered by Veterans causes immense suffering and is associated with high rates of suicide and disability. This is the first study to evaluate the efficacy and safety of psilocybin in Veterans with severe treatment-resistant depression (TRD). Methods15 Veterans with severe TRD (major depressive episode failing to respond to ≥5 treatments, or lasting >2 years) received 25 mg of psilocybin. Primary outcome was change in Montgomery-Åsberg Depression Rating scale (MADRS) at 3 weeks posttreatment. Response was defined s ≥ 50 % reduction in MADRS, and remission as ≤10 MADRS score. Psychedelic experience was assessed using the Five-Dimensional Altered States of Consciousness scale (5D-ASC). Safety measures included assessment of suicidality and adverse events. Participants on antidepressants were tapered to avoid drug interactions. ResultsOf 15 participants, 60 % met response and 53 % met remission criteria at Week 3. At 12 weeks, 47 % maintained response, and 40 % remission. Co-morbid PTSD did not significantly influence study outcomes. The psychedelic experience reported in 5D-ASC did not correlate with response. Participants judged to need antidepressants were restarted and considered non-responders from that timepoint (n = 4). No unexpected adverse events occurred. LimitationsLimitations include the small sample size, and the uncontrolled and unblinded nature of the study. ConclusionsIn this first study on psilocybin for Veterans with severe TRD, a surprising response and remission was seen. Many Veterans had PTSD though no moderating impact of response was observed. The degree of psychedelic experience did not correlate with depression changes. Further study is warranted.TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04433858.

Impact on the Mental Health of Children Aged 8-13, Differentiating Between Children with or Without Green Space in Selected Areas of Pune City

This research explores the intricate relationship between green spaces and the mental well-being of children aged 8-13 in the context of global urbanization, with a focus on selected areas in Pune city. The study employs a comparative descriptive design to differentiate between children with and without access to green spaces. Findings indicate a significant difference in mental well-being based on the presence or absence of green spaces. Implications underscore the importance of urban planning integrating green spaces, promoting outdoor education, and raising community awareness. The study advocates for public health initiatives, safety measures, and a balanced approach to technology and outdoor play. The long-term impact on public health, support for green initiatives, and interdisciplinary collaboration are discussed, urging policymakers to consider green spaces in global urbanization plans.

Toward a responsible future: recommendations for AI-enabled clinical decision support.

Integrating artificial intelligence (AI) in healthcare settings has the potential to benefit clinical decision-making. Addressing challenges such as ensuring trustworthiness, mitigating bias, and maintaining safety is paramount. The lack of established methodologies for pre- and post-deployment evaluation of AI tools regarding crucial attributes such as transparency, performance monitoring, and adverse event reporting makes this situation challenging. This paper aims to make practical suggestions for creating methods, rules, and guidelines to ensure that the development, testing, supervision, and use of AI in clinical decision support (CDS) systems are done well and safely for patients. In May 2023, the Division of Clinical Informatics at Beth Israel Deaconess Medical Center and the American Medical Informatics Association co-sponsored a working group on AI in healthcare. In August 2023, there were 4 webinars on AI topics and a 2-day workshop in September 2023 for consensus-building. The event included over 200 industry stakeholders, including clinicians, software developers, academics, ethicists, attorneys, government policy experts, scientists, and patients. The goal was to identify challenges associated with the trusted use of AI-enabled CDS in medical practice. Key issues were identified, and solutions were proposed through qualitative analysis and a 4-month iterative consensus process. Our work culminated in several key recommendations: (1) building safe and trustworthy systems; (2) developing validation, verification, and certification processes for AI-CDS systems; (3) providing a means of safety monitoring and reporting at the national level; and (4) ensuring that appropriate documentation and end-user training are provided. AI-enabled Clinical Decision Support (AI-CDS) systems promise to revolutionize healthcare decision-making, necessitating a comprehensive framework for their development, implementation, and regulation that emphasizes trustworthiness, transparency, and safety. This framework encompasses various aspects including model training, explainability, validation, certification, monitoring, and continuous evaluation, while also addressing challenges such as data privacy, fairness, and the need for regulatory oversight to ensure responsible integration of AI into clinical workflow. Achieving responsible AI-CDS systems requires a collective effort from many healthcare stakeholders. This involves implementing robust safety, monitoring, and transparency measures while fostering innovation. Future steps include testing and piloting proposed trust mechanisms, such as safety reporting protocols, and establishing best practice guidelines.

Mapping the relationship between traffic accidents, road network configuration, and urban land use

Understanding the nature of traffic accidents in relation to urban access networks is crucial for building safer and more resilient cities. This paper examines the issue of traffic accidents through the lenses of urban configurational theory and urban land use. Three data layers were used in the study, including space syntax analysis conducted in Depthmap X, geotagged traffic accidents collected by the police department, and geotagged land-use data. The method involved superimposing these data layers and exploring potential correlations using a geographic information system (GIS). The findings indicate significant correlations between the spatial frequency of traffic accidents and the choice measure (at 2500 m), local integration, and active land use. The findings of this study can help inform planners and policymakers about the best location to implement safety measures to reduce the risk of traffic accidents in urban access networks.

Co-location analysis of pedestrian accident attributes for Ankara

Even though accidents with pedestrians are more likely to have a severe or fatal outcome, most research concentrates on the vehicle part of the accidents. To make better policies and infrastructure decisions it is crucial to understand how and why such accidents happen. In this article, 2.588 pedestrian accidents from the year 2018 that resulted in injury or death in the city of Ankara, Türkiye are considered, and different attributes are analyzed co-location-wise. Three types of analysis will be undertaken for these accidents: temporal, natural environment, and pedestrian characteristics. The season of the year, weekend-weekday, and time of day will be explored for the temporal analysis. Visibility (daylight, twilight, and darkness) and rain are the natural surroundings of interest. The analyzed pedestrian characteristics are age group, gender, clothing colour, and nationality. Generally, the accident properties are evenly distributed and mostly the higher co-locations occur with themselves. Three important results stand out in this study. Firstly, the type of precaution appropriate to different time periods of the day should be applied, taking into account the locations that have the strongest co-location with themselves. Secondly, a seasonal approach should be adopted in determining places where pedestrian safety needs to be increased in the city. Lastly, pedestrian safety measures targeting especially both ‘0–14 and 65 + age groups’ and ‘foreign citizenship’ should be prioritized in the identified locations. The results show that the co-location methodology is a good fit for analyzing pedestrian accidents and a wider use of this methodology for other accident types and in general might be beneficial.

How Safety Knowledge and Work Environment Affect Workplace Accidents: Uncovering the Role of Safety Behaviors

Workplace accidents in hospitals can arise from human or environmental factors, highlighting the necessity of implementing Hospital Occupational Safety and Health (HOSH) measures. Preliminary study at X Hospital shows that work-related accidents persist, with the majority leading to physical injuries. This study aims to observe the impact of HOSH knowledge and the work environment on nurse workplace accidents, with safety behaviors serving as a mediating factor. The research utilizes a quantitative survey method with a cross-sectional design. A total of 123 nurses participated in the study. An analysis using Structural Equation Modeling (SEM) was conducted to assess the statistical impact. The findings indicate that improving Occupational Safety and Health (OSH) knowledge and enhancing the work environment can significantly reduce workplace accidents. The mediating role of safety behaviors further amplifies this effect. Both HOSH knowledge and the work environment have a positive significant impact on safety behaviors, while HOSH knowledge, the work environment, and safety behaviors each have a negative significant impact on workplace accidents

Crying wolf, alarm safety and management in paediatrics: A scoping review.

To provide a contemporaneous evidentiary overview of neonatal and paediatric studies investigating alarm-related patient safety and alarm system management. Furthermore, to describe how clinical alarm burden is captured and reported, to identify clinical devices that contribute to alarm burden, to explore alarm-related and patient safety measures and terminologies and to review alarm management initiatives. Scoping review. A systematic search of PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, Scopus and EBSCOhost was conducted from 2013 to 2023 using predetermined search terms, index terms, medical subject headings and truncation. Observational and qualitative studies with neonatal and paediatric populations reporting monitoring and alarm practices; and interventional studies reporting the success of alarm safety interventions were included. The quality of the included studies was assessed using the mixed methods appraisal tool. The search yielded 37 studies of acceptable quality. The majority explored alarm burden associated with physiological monitoring (n = 35; 95%). Alarm definitions were reported in 46% (n = 17) of studies, and commonly included what constituted actionable and non-actionable alarms. While 32% (n = 12) of studies considered alarms in relation to clinical outcomes surrounding patient safety, clinician response to alarms was only reported in 19% (n = 7) of studies. Alarm and monitoring interventions were assessed in 51% (n = 19) of included studies, with categorization into six domains: changing alarm parameters, clinician education, communication and planning, technology, alarm ordering and standardization or guidelines. This review has demonstrated the enormity of alarms in clinical settings, heterogeneity of alarm definitions and outlined interventions associated with alarm burden and patient safety. Strategies to ensure appropriate alarm limits are set and clinicians are empowered through education to recognize and respond appropriately to alarms can maximize patient safety. This review adheres to the preferred reporting items for systematic reviews and meta-analysis protocols extension for scoping reviews. No patient or public contribution.

Integration of Industry 4.0 Technologies in Fire and Safety Management

The incorporation of Industry 4.0 has integrated various innovations into fire safety management, thus changing the mode of identifying, assessing, and controlling fire risks. This review aims at how emerging technologies like IoT, AI, cloud technology, and BIM are making changes to fire safety in structural structures. With IoT-enabled sensors, data, and analytics coupled with predictive algorithms for real-time scenarios, fire safety systems have become dynamic systems where early detection, quick response, and risk management can be achieved. In addition, cloud web-based solutions improve the storage of information while providing the predictive aspect for certainty of safety measures. This paper also largely focuses on such activities through the likes of ISO/IEC 30141 and IEEE 802.15.4, thus making a critical role in maintaining effective connectivity between IoT devices, which is necessary for the effective performance of fire safety systems. Furthermore, the implementation issues, including the high costs, the difficulty in scaling up the projects, and the cybersecurity concerns, are considered and compared to the possible solutions, which include upgrading in stages and the possibility of subsidies from the government. The review also points out areas for further study, such as the creation of small cell networks with lower latency, the use of AI to carry out the maintenance of IoTs, and the enhancement of protection mechanisms of systems that are based on the IoTs. In general, this paper highlights the vast possibilities offered by Industry 4.0 technologies to support organizational fire safety management or decrease fire fatalities and improve built environment fire safety.

Notes on Towed Self-Propulsion Experiments with Simulated Managed Ice in Traditional Towing Tanks

Efficiency estimation of a propeller behind a vessel’s hull while sailing through ice floes, together with the ship’s resistance to motion, is a key factor in designing the power plant and determining the safety measures of a ship. This paper encloses the results from the experiments conducted at the CEHINAV towing tank, which consisted of analyzing the influence of the concentration at the free surface of artificial blocks, simulating ice, in propeller–block interactions. Thrust and torque were measured for a towed self-propelled ship model through simulated broken ice blocks made of paraffin wax. Three block concentrations of different block sizes and three model speeds were studied during the experimentation. Open-water self-propulsion tests and artificial broken ice towed self-propulsion tests are shown and compared in this work. The most relevant observations are outlined at the end of this paper, as well as some guidelines for conducting artificial ice-towed self-propulsion tests in traditional towing tanks.

Analysis of a Biopolymer Implementation in the Automotive Instrument Panel

Objective: The purpose of this research is to investigate the effectiveness of different materials for vehicle dashboards in mitigating knee injuries during accidents, with a focus on environmentally friendly options. Theoretical Framework: The research is based on the premise that modern vehicle design should not only prioritize safety standards but also integrate sustainable practices. This framework underscores the importance of utilizing materials that not only meet safety requirements but also minimize environmental impact throughout their lifecycle. Method: The study compares the performance of two materials, polypropylene and poly-lactic acid (PLA), in vehicle dashboards. Data is gathered through experimentation to assess each material's ability to absorb energy and reduce knee impact injuries, as well as their environmental sustainability. Results and Discussion: The findings indicate that PLA demonstrates superior performance compared to Polypropylene in mitigating knee injuries during collisions, while also being more environmentally friendly due to its biodegradability and renewable sourcing. Research Implications: This research contributes to the development of safer vehicle designs by identifying materials that better protect occupants from knee injuries, while also considering the environmental impact of vehicle production and disposal. Implementing materials like PLA could lead to reduced injury rates and improved vehicle safety standards, benefiting both manufacturers and consumers, and promoting sustainability in the automotive industry. Originality/Value: This study offers original insights into the potential of PLA as a superior material for vehicle dashboards in terms of both safety and ecological impact. By exploring alternative materials, such as biopolymers, the research adds value to the ongoing efforts to enhance passive safety measures in automobiles while considering environmental sustainability as a critical factor in material selection.

Age-Friendly Urban Design for Older Pedestrian Road Safety: A Street Segment Level Analysis in Madrid

Walking benefits older pedestrians but exposes them to traffic crashes. With an aging population, designing age-friendly cities is crucial, yet research on older pedestrian safety at a micro-level is limited. This study aims to reduce older pedestrian–vehicle collisions and create more livable environments through infrastructure policies derived from statistical data analysis. Special attention is focused on collecting a holistic set of infrastructure variables to reflect most of the street built environment elements, which helps policymakers implement short-term safety measures. Using Bayesian Poisson regression, this study analyzes factors contributing to the occurrence of crashes involving older and non-older pedestrians on road segments in Madrid, Spain. The results indicate that different factors affect the occurrence of crashes for all pedestrians versus older pedestrians specifically. Traffic crashes involving all pedestrians are affected by leisure points of interest, bus stops, and crosswalk density. Older pedestrian traffic crashes are influenced by population density, the presence of trees and trash containers, and contour complexity. Proposed measures include relocating trees and trash containers, modifying bus stops, and adding crosswalks and traffic lights. This paper also shows that these countermeasures, aimed at creating age-friendly streets for older pedestrians, are not expected to worsen the road safety of other pedestrians.

Food Safety Practices Among Homemakers in the Sagnarigu Municipal of Northern Ghana

This study investigated household food safety practices (HFSPs) employed by homemakers in Sagnarigu Municipality of Northern Ghana. It explored their practices related to food hygiene, food storage, food preparation, handling and cooking, serving, and disposal of food. The study employed a stratified random sampling technique to survey 300 participants across six communities in the study area. Questionnaires were the primary data collection tool, supplemented by observations and unstructured interviews. The study revealed that, on household food safety practices, the majority (68%) of homemakers store cooked food at room temperature, store raw vegetables/fruits at room temperature (71.9%) and 36.3% store raw meat/poultry/fish by freezing. Food safety measures employed by homemakers showed that most of the homemakers wash utensils before and after cooking (72.9%) and serve meals when hot (87.2%). Homemakers had a moderate knowledge of food safety and observed good personal hygiene. However, some bad food safety practices were reported such as cooking or handling food when ill.

Patient safety in the pandemic: Experiences of charge nurses.

The aim of this study was to identify charge nurses' experiences ensuring patient safety during the coronavirus disease 2019 (COVID-19) pandemic. The research was conducted with charge nurses between July 2021 and February 2022. Research data were collected using a semi-structured interview with two main questions, six sub-questions and an audio recording. Interviews were conducted with 12 charge nurses and lasted ≈30 min. The content analysis method was used to transfer the collected data to written documents and define them to analyse the individual interview data. Content analyses were conducted independently by three different researchers. Inclusion and exclusion criteria for content were established to ensure consistency among all researchers. Researchers independently developed a coding scheme for content analysis based on the research objectives and applied it to the content. Intercoder reliability was assessed with Cohen's kappa coefficient to measure the consistency of coding among researchers. Three main themes were identified as a result of the content analysis. The themes identified after independent examination by the three researchers were 'ensuring safety and protection', 'sustaining motivation and resilience' and 'organizational restructuring and challenges'. This study highlights the challenges faced by charge nurses during the COVID-19 pandemic and their critical role in maintaining patient safety. The findings emphasize the importance of organizational adaptability, continuous motivation and comprehensive risk management strategies. Charge nurses played a key role in enhancing safety measures and fostering a culture of resilience among healthcare staff. Moving forward, these insights should guide health policies and practices to better prepare for future public health crises, ensuring the safety of both patients and staff.

PageRank Algorithm-Based Recommendation System for Construction Safety Guidelines

The construction industry faces significant challenges with frequent accidents, largely due to the inefficient use of safety guidelines. These guidelines, which are often text and figure heavy, demand substantial human effort to identify the most relevant items for specific tasks and conditions. Additionally, the guidelines contain both central and peripheral elements, and central items are critical yet difficult to identify without extensive domain knowledge. This study proposes a novel recommendation framework to enhance the usability of these safety guidelines. By leveraging natural language processing (NLP) and knowledge graph (KG) modeling techniques, unstructured safety texts are transformed into a structured, interconnected KG. The PageRank and Louvain Clustering algorithm is then employed to rank guidelines by their relevance and importance. A case study on “High-rise Building Construction (General) Safety and Health Guidelines”, using ‘scaffolding’ as the keyword, demonstrates the framework’s effectiveness in improving retrieval efficiency and practical application. The analysis highlighted key clusters such as ‘fall’, ‘drop’, and ‘scaffolding’, with critical safety measures identified through their interconnections. This research not only overcomes the fragmentation of safety management documents but also contributes to advancing hazard analysis and risk prevention practices in construction management.

Assessing Factors Affecting Fall Accidents among Hispanic Construction Workers: Integrating Safety Insights into BIM for Enhanced Life Cycle Management

Falls are the most common type of accident in the construction industry, and falls to a lower level are among the leading causes of fatalities. Work-related fatalities due to falls, slips, and trips have been increasing, with Hispanic workers among the highest fatalities. This study investigated the association between fall accidents and attributes such as age, musculoskeletal pain (MSPs), sleep hours, safety knowledge, use of personal protective equipment (PPE), and working hours among Hispanic construction workers involved in building construction. This study collected 220 valid responses and used nonparametric chi-square tests and binary logistic regression to analyze the data. This study found that the location of the fall, MSPs, and use of personal protective equipment have a significant effect on the likelihood of having fall accidents. The strongest predictor of fall accidents was “fall from a ladder”, followed by having two or three MSPs. The use of PPE had the highest decreasing ratio in odds of fall accidents, indicating the importance of wearing PPE properly. The results show the importance of integrating safety management strategies within construction projects’ broader life cycle management. The insights list how project engineers can incorporate these findings into Building Information Modeling (BIM) systems to enhance project planning and safety measures in reducing fall-related accidents and their severe consequences. This study highlights the importance of addressing MSPs, properly using PPE, and reducing falls from ladders in the construction industry to prevent fall accidents among Hispanic workers and minimize their severe consequences.

Factors That Impact Effective Public Health Communication With Michigan’s Latinx Population in the Context of COVID-19

The far-reaching impact of the COVID-19 pandemic on Latinx communities is well-documented. This population has higher rates of COVID-19 infection and death compared with non-Latinx White Americans mainly due to long-standing problems related to Social Determinants of Health. Communication about issues such as health threats and safety measures are a vital part of public health, and need to be appropriate to the population of focus. To understand the effectiveness of public health communication to Latinx communities in Michigan during the COVID-19 pandemic, semi-structured interviews ( n = 16) and three focus groups ( n = 24 participants) were conducted virtually in 2021 across counties in Michigan deeply impacted by COVID-19: Washtenaw, Kent, Genesee, and Wayne. Participants shared some facilitating factors that supported effective health communication during the pandemic for their communities. For instance, in their experiences, religious and community leaders were especially effective in communicating information about the pandemic. They also expressed issues with English often being the only language of official communication; the need for bilingual options; and, the need for multiple channels of communication to reach as many people as possible. Participants also highlighted their concerns about inconsistent government communication and politicizing messages as a hindering factor that impacted effective health communication within their communities. Lessons from successes and failures experienced during the COVID-19 pandemic are vital to improving health outcomes for marginalized communities during public health crises. Future responses must ensure that public health communication is appropriate and effective for Latinx communities to better protect them.