Non-fatal Accidents Research Articles

Towards an Evidence-Based Critical Incidents and Suicides Response Program in Australian Construction

Fatal and non-fatal accidents and suicides at work pose a substantial threat to workers’ physical and psychological safety, particularly within the construction industry. Managing these incidents is an essential component of workplace health and safety (WHS). Additionally, a formal program to support workers and provide feedback to improve the existing WHS management system is increasingly important. However, knowledge of the factors contributing to an effective critical incident (CI) or postvention response is limited by the lack of published evidence-based interventions, especially for occupations and industries that are exposed to higher rates of fatal and non-fatal injuries due to accidents and suicides. In addition, broader concerns surrounding the effectiveness of conventional critical incident programs highlight the need to develop innovative and evidence-based critical intervention and postvention responses addressing acute stress symptoms arising from exposure. This research outlines the development of the MATES Respond Training Program, a component of the WHO-endorsed MATES in Construction program, which is a charity charged with the task of improving mental health and suicide prevention in the construction industry in Australia and New Zealand. Development of the MATES Respond Training Program was informed by the following three key sources: a rapid literature review, interviews with 11 workers trained in peer support suicide prevention interventions, and an analysis of site notes on 193 critical incident and postvention construction site attendances by MATES in Construction field officers, case managers and social workers. Insights and recommendations obtained from these sources, along with the resulting program, are discussed in this paper.

Smart Wearable Device for Enhancing Safety and Efficiency of Coal Miners

The task of ensuring worker safety in underground coal mines has never been simple. It has always been challenging to ensure worker safety in underground coal mines. Coal miners are seriously injured or killed as a result of numerous fatal and non-fatal accidents all over the world. Accidents occur as a result of lack of monitoring of mining areas and failure to implement proper safety measures. In this review, the coal miner's smart wearable safety device is implemented. A smart wearable safety device that will monitor the miner's health and provides precautionary measures for the miner's safety has been developed with the advent of the Industrial Internet of Things (IIoT). Integrating smart wearable safety devices with various health sensors such as a pulse rate sensor, temperature sensor, blood oxygen sensor, gas sensor, and camera, and then connecting it to Node MCU, and the internet enhances the safety of coal miners. Sensors constantly transmit sensor data to the cloud, and if an unusual situation arises, it notifies the responsible person in the control room as well as the miners. Since deep underground mining is especially susceptible to toxic gases, low levels of oxygen, and hazardous gases, the MQ gas sensor family can detect them. The proposed system is primarily used to improve working conditions inside coal mines and to ensure workers' safety.

The relationship between workplace justice and self-evaluated nonfatal occupational accidents among healthcare employees in Taiwan: An observational study.

The relationship between workplace justice and nonfatal occupational accidents in a single-payer healthcare system has rarely been explored. As countries strive to achieve and sustain universal health coverage, healthcare workers' occupational safety and health require greater concerns. We used the data from a national survey conducted on randomly sampled Taiwanese workers. One hundred forty eight males and 567 females, with a total of 715 healthcare workers aged 20 to 65, were analyzed. The workplace scale consisted of 4 subcomponents, including distributive justice, interpersonal justice, information justice, and procedural justice, and was dichotomized into low and high groups in each dimension. Logistic regression models examined the relationship between workplace justice and self-evaluated occupational accidents among healthcare employees. The prevalence of self-evaluated occupational accidents in healthcare employees was 15.54% and 11.64% for men and women, respectively. After adjusting variables such as sociodemographic variables, physical job demands, shift work status, work contract, and psychological job demands, regression analyses indicated that health employees with lower distributive justice, interpersonal justice, information justice, and procedural justice were significantly associated with self-evaluated occupational accidents both in males and females. Expanding the study to include healthcare systems in different countries could enhance the generalizability of the findings. Offering specific recommendations for policymakers and healthcare administrators to improve workplace justice and reduce occupational accidents.

Real-Time Personal Protective Equipment Non-Compliance Recognition on AI Edge Cameras

Despite advancements in technology, safety equipment, and training within the construction industry over recent decades, the prevalence of fatal and nonfatal injuries and accidents remains a significant concern among construction workers. Hard hats and safety vests are crucial safety gear known to mitigate severe head trauma and other injuries. However, adherence to safety protocols, including the use of such gear, is often inadequate, posing potential risks to workers. Moreover, current manual safety monitoring systems are laborious and time-consuming. To address these challenges and enhance workplace safety, there is a pressing need to automate safety monitoring processes economically, with reduced processing times. This research proposes a deep learning-based pipeline for real-time identification of non-compliance with wearing hard hats and safety vests, enabling safety officers to preempt hazards and mitigate risks at construction sites. We evaluate various neural networks for edge deployment and find that the Single Shot Multibox Detector (SSD) MobileNet V2 model excels in computational efficiency, making it particularly suitable for this application-oriented task. The experiments and comparative analyses demonstrate the pipeline’s effectiveness in accurately identifying instances of non-compliance across different scenarios, underscoring its potential for improving safety outcomes.

Myocardial infarction with nonobstructive coronary arteries: a single-center retrospective study by sex and race.

In myocardial infarction with nonobstructive coronary arteries (MINOCA), there are limited patient-level data on outcomes by sex and race. The aim of this study was to assess baseline demographics and 3-year outcomes by sex and race for MINOCA patients. Patients admitted to a single center with acute myocardial infarction (MI) between 1 January 2012 and 31 December 2018, were identified by chart and angiographic review. The primary outcome was nonfatal MI with secondary outcomes including nonfatal cerebrovascular accident (CVA), chest pain readmission, and repeat coronary angiography. During the study period, 304 patients were admitted with MINOCA. The cohort was predominantly female (66.4%), and women were significantly older (64.6 vs. 59.2). One-sixth of the total population were Black patients, and nearly half of Black patients (47.2%) were male. Prior CVA (19.7%) and comorbid anxiety, depression, or post-traumatic stress disorder (41.1%) were common. Rates of nonfatal MI were 6.3% without difference by sex or race. For secondary outcomes, rates of CVA were 1.7%, chest pain readmission was 22.4%, and repeat angiography was 8.9%. Men were significantly more likely to have repeat angiography (13.7 vs. 6.4%), and Black patients were more likely to be readmitted for angina (34.0 vs. 19.1%). Over one-quarter of patients underwent repeat stress testing, with 8.9% ultimately undergoing repeat angiograms and low numbers (0.7%) undergoing revascularization. Men were more likely to be referred for a repeat angiogram (13.7 vs. 6.4%, P = 0.035). In multivariate analysis, Black race [odds ratio (OR), 2.31; 95% confidence interval (CI), 1.06-5.03] was associated with an increased risk of readmission for angina, while female sex was associated with decreased odds of repeat angiography (OR, 0.36; 95% CI, 0.14-0.90) and current smoking was associated with increased odds of repeat angiography (OR, 4.07; 95% CI, 1.02-16.29)] along with hyperlipidemia (OR, 4.65; 95% CI, 1.22-17.7). White women presented more frequently with MINOCA than White men, however, Black men are equally as affected as Black women. Rates of nonfatal MI were low without statistical differences by sex or race.

Workplace accidents, economic determinants and underreporting: an empirical analysis in Italy

PurposeThis paper proposes an analysis of occupational accidents in Italy at the regional level. For this purpose, our panel is composed of 20 regions over the 2010–2019 time span.Design/methodology/approachWe apply different econometric estimation techniques (pooled OLS model, panel fixed and random effects models and semiparametric fixed model) using INAIL and ISTAT data. Our models investigate workplace accidents at the regional level by accounting for socioeconomic, labour market and productive system variables and controlling for possible underreporting bias.FindingsOverall results reveal the existence of a relevant under-notification phenomenon of accidents at work with respect to moderate accidents, that is higher especially for the southern regions of Italy. However, when considering as outcome variable an alternative set of more severe workplace accidents our model specification remains highly jointly statistically significant. Among our main findings, the analysis shows that worker skills (blue collar) strongly affect the regional pattern of workplace accidents, i.e. an increase of 1% of low paid employees generates about an increase of 1.8 severe workplace accidents per thousand workers. Moreover, we provide evidence that the size of the firm is inversely related to the occupational accident rates. Finally, our results highlight a nonlinear relationship between GDP and occupational accidents for the Italian regional context, confirmed by the high statistical significance of the quadratic term in all the estimated linear models and by the semi-parametric analysis.Originality/valueA first element of originality of our study consists of investigating the macro determinants of occupation accidents at a regional Italian level. Second, the empirical literature (Boone and Van Ours, 2006) highlights the possible bias of underreporting behaviours on nonfatal accidents in contrast to fatal accidents that are always reported. From this perspective, we have identified a few analyses (namely, Boone et al., 2011) considering different accident sets characterised by different severity degrees. Thus, this paper contributes to the literature considering five alternative subsets of accidents stratified by degree of severity (i.e. moderate, severe, moderate plus severe, severe plus fatal and total accident rates) to test for possible underreporting bias affecting our econometric model.

Occupational accidents in Malta and the role of the occupational health and safety authority: A twenty-year analysis

The Occupational Health and Safety Authority (OHSA) was established in Malta in 2002. Since then, trends indicate that non-fatal accidents have decreased in Malta, while changes in fatal accidents are less clear. Since these trends have not been statistically investigated before, this study aims to do so. The study also aims to analyse the link between specific OHSA deterrent measures and changes in non-fatal accidents. A database compiled by the OHSA on the frequency of accident statistics in Malta and OHSA deterrent measures between 2002 and 2022 was analysed. The study demonstrated that the incidence of fatal and non-fatal accidents decreased significantly during the analysed period. The incidence of non-fatal accidents was more common in the transport and storage sector, the construction sector and the manufacturing sector. Fatal accidents were most frequent within the construction sector. Fatal accidents were common among the self-employed and foreign workers. Deterrents, especially those related to inspections and fines, were significantly associated with a decrease in fatal and non-fatal accidents. The study underscores those accidents have declined significantly since the establishment of the OHSA and demonstrates the benefits of specific deterrent measures. Continued focus is required on specific areas, including the construction sector, self-employed workers and foreign workers.

Identifying Spatial Patterns of Road Accidents in Madaba City by Applying Getis-Ord Gi* Spatial Statistic

Road safety has become a subject of great interest among policymakers worldwide as they seek effective strategies to mitigate traffic accidents. There exist various approaches to examine the occurrences of road traffic accidents in terms of their spatial information and consequences. Geographical information systems (GIS) have been widely employed to analyse the spatial patterns of road traffic accidents; they offer various statistical analysis tools to reveal the hotspot locations of road accidents. Reducing the number of traffic accidents and overcoming their negative impact by defining the hotspot locations gain serious attention from the Public Security Directorate (PSD) in Jordan. This study analyses road traffic accidents in Madaba City using spatial statistics to determine the hotspot locations. The Gtis-Ord (Gi*) spatial statistics method was applied to 5730 reported traffic accidents between 2017 and 2019. The results accurately located the groups of chosen accidents and identified 37 hotspots, accounting for 1.89% of the reported cases. The Maximum Z score was 30.99, and 691 reported cases led to the identification of 13 high-priority hotspots. These hotspots occur at significant thoroughfares, busy roundabouts, and uncontrolled intersections. Driving errors and excessive speeding were the most common causes of fatal and non-fatal accidents in Madaba City. Efficient countermeasures to mitigate the number of accidents in Madaba City include adding more police inspectors to the city center, installing speed cameras, and putting up traffic signs at uncontrolled intersections. The outcomes of this work may encourage the PSD to adopt the GIS statistical tools in analyzing the spatial patterns of road traffic accidents to achieve more accurate results.

Key Insights from Preflight Planning for Safety Improvement in General Aviation: A Systematic Literature Review

This study highlights the disproportionate number of fatal and non-fatal accidents in general aviation (GA) compared to airline carriers, emphasizing the need to investigate the contributing factors to these incidents. It identifies poor decision-making and a lack of situational awareness as key issues and presents a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method to analyze preflight information used by GA pilots. The findings underscore the significance of operational factors in ensuring a successful flight and suggest modifications to pilot license renewal processes, with an emphasis on the adoption of digital preflight tools. A new theoretical framework based on the operational factors identified is also introduced, which could serve as a foundation for future studies and interventions aimed at enhancing safety in general aviation.

Trauma Outcomes in Pediatric Nonfatal Road Traffic Accidents.

By 2025, road traffic injuries are projected to rank third in the global burden of disease, posing a significant challenge that affects health, social well-being, and economic aspects. According to data from the Romanian Police National Statistics Center, there have been an average of 342 traffic accidents per year involving pediatric patients over the past 10 years. A retrospective research study was conducted, encompassing 358 cases of road traffic accidents identified for the study, with data collected over a span of eight years, and with the aim of analyzing the types of injury and treatment methods in relation to age and sex, while also focusing on the duration of hospitalization and the occurrence of complications. An oscillating trend is observed from 2015 to 2020, with its lowest value recorded in 2017 at around 6.8% and its peak in 2019 at 20.1%. Notably, post-pandemic (COVID-19), the cases underwent a substantial decline of approximately 60%. At least 78.7% of those who did not undergo orthopedic reduction required surgery, whereas among those who underwent orthopedic reduction, only 23.4% needed surgery. Regarding the frequency of complications 17.3% of the total cases experienced complications. According to our findings, age has a significant effect on the type of accident (p < 0.05). Complications occurred in 17.3% of patients, most commonly surgical (24 cases, 38.7%), orthopedic (17 cases, 27.4%), and neurological (15 cases, 24.2%).

Identification of the best machine learning model for the prediction of driver injury severity

Predicting the injury severities sustained by drivers engaged in road traffic accidents is a key topic of research in road traffic safety. The current study analyzed the driver injury severity (DIS) using twelve machine learning (ML) algorithms. These models were implemented using 0.70, 0.80, and 0.90 train ratios and 5-, 10- and 15-fold cross-validation. Ten years of accident data (from 2011 to 2020) was obtained from police department of Shillong, India. A total of 693 accidents were documented, with 68% being nonfatal and 32% being fatal. Precision, recall, accuracy, F1 score and area under the curve measures were used to compare the performance of all twelve ML models. Overall, the light gradient-boosting machine model was shown to be the best ML model for predicting the injury severities of drivers engaged in road traffic incidents. Finally, variable importance analysis results showed that cause of accident, collision type and types of vehicles were the most influencing factors in nonfatal and fatal driver accidents. The results also revealed that age and gender were slightly associated with DIS. The findings of the current research could be helpful to road safety agencies for the implementation of suitable countermeasures to increase driver safety in road accidents.

Predictors of cardiovascular events in patients with heart failure and &lt;i&gt;Pseudomonas aeruginosa&lt;/i&gt; pneumonia

Aim. To identify predictors of cardiovascular events (CVEs) in patients with heart failure (HF) and P. aeruginosa pneumonia.Material and methods. The study included 92 patients with HF with mildly reduced or reduced ejection fraction and nosocomial pneumonia. Based on sputum or bronchoalveolar lavage microbiological examination, patients were divided into 2 following groups: group I — 51 patients with HF and P. aeruginosa pneumonia, group II — 41 patients with HF and pneumonia caused by other pathogens (Staphylococcus aureus, Streptococcus pneumoniae). During the hospital stay, the following morbidities were assessed: cardiovascular death, acute coronary syndrome, non-fatal cerebrovascular accident, pulmonary embolism, lower extremity venous thrombosis.Results. CVEs were significantly more often observed in patients with HF and P. aeruginosa pneumonia — 30 (58,8%) than in patients with HF and pneumonia caused by S. aureus or S. pneumoniae — 5 (12,1%). Complete blood count in group I patients revealed a decrease in hemoglobin level to 114 [95; 133] g/l, when compared with patients in group II — 139 [118; 150] g/l (p&lt;0,001) and an increase in white blood cell count (10,2×109/l and 6,96×109/l, respectively (p&lt;0,001)). A biochemical blood test in group I patients revealed a significant increase in C-reactive protein (CRP) of 105 [60; 191] and 18 [14; 55,1] mg/l (p&lt;0,001). Patients with P. aeruginosa pneumonia had more widespread lung involvement than patients with pneumonia of other etiologies.Conclusion. There are following most significant predictors of cardiovascular events in patients with HF and P. aeruginosa pneumonia: decreased LVEF &lt;40% (relative risk (RR) 1,833; 95% confidence interval (CI) 1,188-3,400; p=0,005), white blood cell count &gt;11×109/l (RR 2,412; 95% CI 1,399-4,158; p=0,048), CRP &gt;133 mg/l (RR 3,115; 95% CI 1,611-6,025; p&lt;0,001) and hypoproteinemia &lt;57 g/l (RR 5,225; 95% CI 1,249-21,854; p=0,012).

Understanding the correlates of construction safety of high-rise buildings: A Bayesian perspective

Safety in high-rise building construction is a critical concern, particularly in the densely populated urban areas of Vietnam. Understanding the complex interplay of factors influencing safety on construction sites is essential for reducing accidents and enhancing overall project outcomes. This study aims to identify and analyze key factors impacting safety in high-rise construction projects. Utilizing Bayesian Poisson Regression, the research investigates the relationship between various safety-related factors and the occurrence of non-fatal accidents. The study adopts a comprehensive approach, selecting potential safety factors from the existing literature and developing a rating system validated by site safety managers. Data were collected from 48 high-rise buildingprojects in Vietnam, constructed between 2019 and 2022. Bayesian Poisson Regression was employed to analyze the impact of 15 variables on safety outcomes, including management commitment, worker participation,training programs, emergency preparedness, and safety inspections. The findings underscore the multifacetednature of construction safety and the need for a holistic approach that involves strong safety training, engagedmanagement and workers, protective measures, and proactive safety audits. This research provides actionableinsights for practitioners and contributes to the academic discourse on construction safety, emphasizing theutility of Bayesian methods in unraveling complex safety dynamics in high-rise construction.

Investigation on the Nature of Safety Rule Violations in High-Rise Construction Projects

The construction sector has consistently demonstrated a greater risk of fatal and non-fatal occupational accidents than other economic sectors, particularly with respect to high-rise building construction projects. Despite searing progress in the regulatory domain, and progressive formulation of new safety agenda for the industry, the truth is safety incidences involving fatalities and injuries still perpetuate with varying degrees of intensity. This is further aggravated by the loss of vital project resources of materials, equipment, and labours, which is counter-productive, unsustainable, and occasionally polluting. What is abundantly clear is that human factor when dealing with safety intricacies and observation still plays a considerable role in determining key safety objective accomplishment. With that in mind, it was the aims of this study to delve deeper into this issue among practitioners at the forefront of the high-rise building construction works in Malaysia. Specifically, it investigates, analyses, and ranks the degree of severity of the safety rule violation repercussion, the frequency, and perpetrators. A questionnaire survey approach was devised and distributed to respondents from among the developers, consultants, contractors, and relevant authorities. The data collected were analysed using SPSS package by determining the average index, standard deviation, variance, and frequency analysis. The results have shown that the lack of fire protection was perceived to lead to the most severe repercussion, while the lack of risky, near-miss, accident reporting, and the lack of Logout or Tagout (LOTO) procedures during servicing and maintenance activities were the most frequent safety rule violations. In addition, the contractor party was the most regular offender of the safety regulations, understandably by virtue of numbers. In conclusion, these outcomes could facilitate safety authorities and professionals in devising pragmatic schemes that best utilize both the persuasive and punitive mitigation measures for better safety outcomes.

Funcionalidade em vítimas não fatais de acidente de trânsito

Abstract Introduction Traffic accidents are a problem for the health system and society, evidenced by the high rates of deaths, hospitalizations and care in health services due to serious injuries and disabilities, affecting the functioning and quality of life of individuals. Objective To identify outcome measures in studies on victims of non-fatal traffic accidents, to fulfill the first step in the development of a Core Set of the International Classification of Functioning, Disability and Health (ICF) for victims of non-fatal traffic accidents. Methods A systematic review of published articles was carried out in the electronic databases PubMed/MEDLINE and SciELO, between 2011 and 2022, using terms in English. The search strategy combined terms about the consequences of traffic accidents in adults. The selection of articles was carried out by two independent reviewers, applying the eligibility criteria. Results A total of 626 studies were located in the databases, and 91 articles were included in the review. The consequences observed in the studies were injuries, fractures and trauma. When extracting outcome measures, 780 concepts were identified, linked to a total of 124 ICF categories, in the components: body function (30 categories); body structure (72 categories); activity and participation (20 categories); and environmental factors (two categories). Conclusion This systematic review revealed that the main consequences of non-fatal traffic accidents for victims are in the body structures related to the movement, mobility and stability of joints.

Sex-specific analysis of hiking accidents in the Austrian Alps: a follow-up from 2015 to 2021.

Hiking is one of the most popular leisure sport activities practiced in the Alps during the summer season, but bears the risk of mountain emergencies, accidents, and fatalities. This paper provides an updated analysis of hiking accidents for the years 2015 to 2021 in the Austrian Alps, thereby outlining fatal and non-fatal accident characteristics. For this retrospective analysis, mountain hiking accidents documented by the Austrian Alpine Police during a 7-year period were screened for potential exclusion criteria. The final sample size consisted of 7368 accidents and 7552 victims. The outcome measures were mainly specified by sex, age, injury degree, injury location, pathophysiological characteristics, and cause of injury. The overall annual number of accidents showed a continuous increase from 428 in 2015 to 544 in 2021. In total, 7.1% of the total victims died during the 7-year period, with male hikers being significantly more affected than female hikers (m: 80.8%, f: 19.2%; p ≤ 0.001). The sex specific distribution for non-fatal hiking accidents was 55.9% in women and 44.1% in men. Male victims showed significantly more frequent cardiovascular events (m: 78.5%, f: 21.5%), multiple injuries (m: 60.2%, f: 39.8%), and wounds/blood loss (m: 57.4%, f: 42.6%) than female victims, whereas women showed more fractures (m: 31.5%, f: 68.5%) than men (p ≤ 0.001). Additionally, men were more likely to injure their abdomen/chest (3.7%), head (14.1%), and multiple body parts (26.5%), whereas women were more likely to injure their ankle or foot (42.3%). Finally, men were more likely to have an accident during the ascent (24.1%), whereas women during the descent (69.0%) (p ≤ 0.001). This paper provides the latest data and a deeper insight into sex-specific characteristics of mountain hiking accidents in the Austrian Alps.

The immediate impact of mandatory helmet law on maxillo-facial trauma: A comparative study in a major trauma center, Uttar Pradesh.

To analyze the effect of the mandatory helmet rule in helmet usage among motorcycle riders and on facial trauma and to determine the significance of difference in the possibility of facial trauma between the helmeted and non-helmeted motorcycle riders. A retrospective comparative study conducted in a major trauma center at Uttar Pradesh. Data for the present study was obtained from records of the Emergency Department of Trauma Center, for a period of two months before and after the implementation of The Motor Vehicles Act in UP. The study included patients with a history of non-fatal motorcycle accidents who sustained facial injuries regardless of the presence of injuries to other areas of the body during the study period. Information regarding helmet usage during the accident was also recorded. The results were compared between the pre-law period and post-law period. Sample t-test was applied to find the level of significance. Out of 219 injured patients, 152 (69.40%) subjects were not wearing helmets, whereas only 67 (30.59%) subjects were wearing helmets. It was observed that around 68.18% of people stated wearing helmets after law implementation with a statistical significance (P value < 0.05). Our study shows that the mandatory helmet rule with elevated penalty rates has significantly increased the usage of helmet among the motorcycle riders, and it also proves that the possibility of facial trauma is significantly higher in non-helmeted riders when compared to helmeted riders.

Multinational Enforcement of Labor Law: Experimental Evidence on Strengthening Occupational Safety and Health Committees

Annually, work‐related mortality is responsible for 5–7% of all global deaths, and at least 1‐in‐9 workers experience nonfatal occupational accidents (ILO (2019a,b)). Occupational Safety and Health (OSH) committees are considered the key worker voice institution through which to improve workplace safety and health (ILO (1981)). I present evidence of OSH committees' causal effects on workers and on factories. To do so, I collaborated with 29 multinational apparel buyers that committed to enforce a local mandate for OSH committees on their suppliers in Bangladesh. With the buyers, I implemented a nearly year‐long field experiment with 84 supplier factories, randomly enforcing the mandate on half. The buyers' intervention increased compliance with the OSH committee law. Exploiting the experimental variation in OSH committees' strength, I find that stronger OSH committees had small, positive effects on objective measures of safety. These improvements did not come at a cost to workers in terms of wages or employment or to factories in terms of labor productivity. The effects on compliance, safety, and voice were largest for factories with better managerial practices. Factories with worse practices did not improve, and workers in these factories reported lower job satisfaction; this finding suggests complementarity between external enforcement and internal capacity in determining the efficacy of regulation.

Functioning in victims of non-fatal traffic accident

Resumo Introdução Os acidentes de trânsito são um problema para o sistema de saúde e para a sociedade, evidenciado pelas altas taxas de óbito, internações e atendimento nos serviços de saúde em função das lesões graves e incapacidades, repercutindo na funcionalidade e qualidade de vida dos indivíduos. Objetivo Identificar medidas de desfecho nos estudos sobre vítimas não fatais de acidentes de trânsito, para cumprir a primeira das etapas no desenvolvimento de um core set da Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF) para vítimas não fatais de acidentes de trânsito. Métodos Trata-se de uma revisão sistemática cuja busca foi feita nas bases de dados PubMed/MEDLINE e SciELO, entre 2011 e 2022, utilizando termos em inglês. A estratégia de busca combinou termos sobre as consequências dos acidentes de trânsito em adultos. A seleção dos artigos deu-se por dois revisores independentes, aplicando os critérios de elegibilidade. Resultados Foram localizados 626 estudos nas bases de dados e incluídos, na revisão, 91 artigos. As consequências observadas nos estudos foram lesões, fraturas e traumas. Na extração das medidas de desfecho, 780 conceitos foram identificados, vinculados a um total de 124 categorias da CIF nos componentes: função do corpo (30 categorias); estrutura do corpo (72 categorias); atividade e participação (20 categorias); e fatores ambientais (duas categorias). Conclusão Esta revisão sistemática revelou que as principais consequências dos acidentes de trânsito para as vítimas não fatais estão nas estruturas do corpo relacionadas ao movimento e à mobilidade e estabilidade das articulações.

Knowledge and Attitude with the Compliance of the use of Personal Protective Equipment (PPE) for Cleaning Officers

Introduction : According to the International Labor Organization, almost every year there are 1000 times the number of non-fatal work accidents when compared with fatal work accidents. to the income generated by workers. Purpose: This study was to determine the relationship between the level of knowledge and attitudes with the adherence to the use of personal protective equipment (PPE) for cleaners at the Environmental Office of Baubau City. Methods: This research is an analytic research design with a cross sectional study design approach. The population and sample are all cleaning workers who work at the Baubau City Environmental Service, totaling 107 respondents using total sampling. Data collection techniques using a questionnaire, with chi-Square data analysis. Results: research using the chi square test shows that there is a relationship between knowledge (p-value = 0.000 &lt;0.05), and attitude (p-value = 0.000 &lt;0.05) with compliance with the use of personal protective equipment (PPE) for cleaning workers in Baubau City Environmental Service. Conclusion: there is knowledge about compliance with the use of personal protective equipment (PPE) for cleaning staff at the Baubau City Environmental Service. And there is a relationship between attitude and compliance with the use of personal protective equipment (PPE) for cleaning workers at the Baubau City Environmental Service.