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One consequence of population aging is an increase in the number of older wheelchair users. They often board the motor vehicle from the rear for moving. Recently, wheelchair user vehicle passengers have involved in motor vehicle collisions and died. A three-point seatbelt does not adequately fit most wheelchair user passengers because of the way that the wheelchair is constructed. Therefore, owing to the movement of the body immediately after the collision, the wheelchair user passengers attacked their body to the interior of the vehicle or suffered from the intrusion of the lap belt into the abdomen, subsequently suffered from severe head, chest or abdominal injuries. According to the review of all fatal motor vehicle collisions in Shiga Prefecture, Japan, which has a population of approximately 1.4 million, from 2017 to 2022, the rate of wheelchair users in fatal motor vehicle passenger increased from 3.6% in 2017 to 2019 to 7.8% in 2020 to 2022. Therefore, there is a risk that substantial numbers of wheelchair user passengers involved in motor vehicle collisions will die. However, in Japan, there are no official statistics on the involvement of wheelchair user passengers in motor vehicle collisions. Therefore, we propose a nationwide registration of injuries and fatalities in wheelchair user passengers. Investigating the mechanisms of injury in wheelchair user passengers would contribute to the development of safety measures, especially for restraint systems. Established preventive measure would contribute to the decrease of fatally or severely injured motor vehicle collision passengers.

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The advancement of intelligent road systems in developing countries poses unique challenges in identifying risk factors and implementing safety strategies. The variability of factors affecting crash injury severity leads to different risks across levels of roadway smartness, especially in hazardous terrains, complicating the adaptation of smart technologies. Therefore, this study investigates the temporal instability of factors affecting injury severities in crashes across various terrains, with a focus on the evolution of road smartness. Crash data from selected complex terrain regions in Shaanxi Province during smart road adaptation were used, and categorized into periods before, during, and after smart road implementations. A series of mixed logit models were employed to account for unobserved heterogeneity in mean and variance, and likelihood ratio tests were conducted to assess the spatio-temporal instability of model parameters across different topographic settings and smart processes. Moreover, a comparison between partially constrained and unconstrained temporal modeling approaches was made. The findings reveal significant differences in injury severity determinants across terrain conditions as roadway intelligence progressed. On the other hand, certain factors like pavement damage, truck and pedestrian involvement were identified that had relatively stable effects on crash injury severities. Out-of-sample predictions further emphasize the need for modeling across terrain and roadway development stages. These insights are crucial for developing tailored safety measures for smart road retrofitting in different terrain conditions, thereby supporting the transition towards smarter road systems in developing regions.

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PURPOSE: Acute cannabis use is associated with impaired driving performance and increased risk of motor vehicle crashes. Following the Canadian Cannabis Act's implementation, it is essential to understand how recreational cannabis legalization impacts traffic injuries, with a particular emphasis on Canadian emergency departments. This study aims to assess the impact of recreational cannabis legalization on traffic-related emergency department visits and hospitalizations in the broader context of North America. METHODS: A systematic review was conducted according to best practices and reported using PRISMA 2020 guidelines. The protocol was registered on July 5, 2022 (PROSPERO CRD42022342126). MEDLINE(R) ALL (OvidSP), Embase (OvidSP), CINAHL (EBSCOHost), and Scopus were searched without language or date restrictions up to October 12, 2023. Studies were included if they examined cannabis-related traffic-injury emergency department visits and hospitalizations before and after recreational cannabis legalization. The risk of bias was assessed. Meta-analysis was not possible due to heterogeneity. RESULTS: Seven studies were eligible for the analysis. All studies were conducted between 2019 and 2023 in Canada and the United States. We found mixed results regarding the impact of recreational cannabis legalization on emergency department visits for traffic injuries. Four of the studies included reported increases in traffic injuries after legalization, while the remaining three studies found no significant change. There was a moderate overall risk of bias among the studies included. CONCLUSIONS: This systematic review highlights the complexity of assessing the impact of recreational cannabis legalization on traffic injuries. Our findings show a varied impact on emergency department visits and hospitalizations across North America. This underlines the importance of Canadian emergency physicians staying informed about regional cannabis policies. Training on identifying and treating cannabis-related impairments should be incorporated into standard protocols to enhance response effectiveness and patient safety in light of evolving cannabis legislation.

RéSUMé: OBJECTIF: La consommation aiguë de cannabis est associée à une conduite avec facultés affaiblies et à un risque accru d'accidents de la route. À la suite de la mise en œuvre de la Loi canadienne sur le cannabis, il est essentiel de comprendre l'incidence de la légalisation du cannabis à des fins récréatives sur les blessures de la route, en mettant l'accent sur les services d'urgence canadiens. Cette étude vise à évaluer l'impact de la légalisation du cannabis à des fins récréatives sur les visites et les hospitalisations aux urgences liées à la circulation dans le contexte plus large de l'Amérique du Nord. MéTHODES: Une revue systématique a été menée selon les meilleures pratiques et a été rapportée en utilisant les directives PRISMA 2020. Le protocole a été enregistré le 5 juillet 2022 (PROSPERO CRD42022342126). MEDLINE(R) ALL (OvidSP), Embase (OvidSP), CINAHL (EBSCOHost) et Scopus ont été fouillés sans restriction de langue ou de date jusqu'au 12 octobre 2023. Des études ont été incluses si elles examinaient les visites aux urgences et les hospitalisations avant et après la légalisation du cannabis à des fins récréatives. Le risque de biais a été évalué. La méta-analyse n'était pas possible en raison de l'hétérogénéité. RéSULTATS: Sept études étaient admissibles à l'analyse. Toutes les études ont été menées entre 2019 et 2023 au Canada et aux États-Unis. Nous avons trouvé des résultats mitigés concernant l'impact de la légalisation du cannabis récréatif sur les visites aux urgences pour les blessures de la route. Quatre des études incluaient une augmentation des accidents de la route après la légalisation, tandis que les trois autres études n'ont révélé aucun changement significatif. Le risque global de biais était modéré parmi les études incluses. CONCLUSIONS: Cet examen systématique met en évidence la complexité de l'évaluation de l'impact de la légalisation du cannabis récréatif sur les blessures de la route. Nos résultats montrent un impact varié sur les visites aux urgences et les hospitalisations en Amérique du Nord. Cela souligne l'importance pour les médecins d'urgence canadiens de se tenir informés des politiques régionales sur le cannabis. La formation sur l'identification et le traitement des déficiences liées au cannabis devrait être intégrée aux protocoles normalisés afin d'améliorer l'efficacité de l'intervention et la sécurité des patients à la lumière de l'évolution de la législation sur le cannabis.

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BACKGROUND: Persistent opioid use (POU) can occur with opioid use after surgery or trauma. Current systematic reviews include patients with previous exposure to opioids, meaning their findings may not be relevant to patients who are opioid naïve (i.e. Most recent exposure was from surgery or trauma). The aim of this review was to synthesise narratively the evidence relating to the incidence of, and risk factors for POU in opioid-naïve surgical or trauma patients. METHOD: Structured searches of Embase, Medline, CINAHL, Web of Science, and Scopus were conducted, with final search performed on the 17th of July 2023. Searches were limited to human participants to identify studies that assessed POU following hospital admission due to surgery or trauma. Search terms relating to 'opioid', 'analgesics', 'surgery', 'injury', 'trauma' and 'opioid-related disorder' were combined. The Newcastle-Ottawa Scale for cohort studies was used to assess the risk of bias for studies. RESULTS: In total, 22 studies (20 surgical and two trauma) were included in the analysis. Of these, 20 studies were conducted in the United States (US). The incidence of POU for surgical patients 18 and over ranged between 3.9% to 14.0%, and for those under 18, the incidence was 2.0%. In trauma studies, the incidence was 8.1% to 10.5% among patients 18 and over. Significant risk factors identified across surgical and trauma studies in opioid-naïve patients were: higher comorbidity burden, having pre-existing mental health or chronic pain disorders, increased length of hospital stay during the surgery/trauma event, or increased doses of opioid exposure after the surgical or trauma event. Significant heterogeneity of study design precluded meta-analysis. CONCLUSION: The quality of the studies was generally of good quality; however, most studies were of US origin and used medico-administrative data. Several risk factors for POU were consistently and independently associated with increased odds of POU, primarily for surgical patients. Awareness of these risk factors may help prescribers recognise the risk of POU after surgery or trauma, when considering continuing opioids after hospitalisation. The review found gaps in the literature on trauma patients, which represents an opportunity for future research. TRIAL REGISTRATION: PROSPERO registration: CRD42023397186.

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This exploratory study is a follow-up to a 2014 study that investigated factors associated with large truck at-fault crash outcomes in Alabama. To assess unobserved temporal changes in the effects of the crash factors, this study re-creates the original crash models developed in the 2014 study using crash data from 2017 to 2019. Four mixed logit models were re-created using the same variables used in the previous study to analyze contributing crash factors to injury severity of single-vehicle (SV) and multi-vehicle-involved (MV) large truck at-fault crashes in urban and rural settings. It was found that there have been temporal changes in how many of the factors influenced crash severity with some of them no longer showing any significant association with crash outcomes, while others remained significant. Further, it was observed that some of the variables that remained significant had different relationships with crash injury severity in the newer severity models. For instance, while factors such as fatigued driver (in rural crashes), clear weather (in urban crashes), single-unit truck (in rural SV crashes), truck rollover (in urban SV crashes) maintained consistent significance over time, the effects of variables such as at-fault male drivers (in urban MV crashes), at-fault female drivers (in urban MV crashes), and hitting fixed object (in rural MV crashes) have changed. One such notable difference is the variable for absence of traffic control which increased the probability of major injury in rural SV crashes by 49.50% in the 2014 model but decreased the probability of recording major injuries by 108.90% using the 2017-2019 data. Considering the temporal changes that were observed in the recreated models, newer models were developed, revealing the emergence of new variables such as truck age that are significantly associated with truck crash severity. The findings of this study provide evidence to suggest that some crash severity factors for at-fault large truck collisions vary over time, with newer ones also emerging over time. These findings can also help trucking companies, transportation engineers, and other industry experts in developing measures to reduce large truck crashes.

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BACKGROUND The widespread adoption of electric scooters (e-scooters) as a mode of urban transportation has led to a notable upsurge in e-scooter-related injuries globally. Variations in e-scooter regulations across countries contribute to differences in injury patterns. This study sought to investigate the healthcare burden posed by e-scooter-related injuries on emergency departments (EDs) in Poland, and to delineate the epidemiological and clinical features of these injuries. MATERIAL AND METHODS Medical records of patients who presented to 2 distinct EDs - in Poznan and Bydgoszcz, Poland - with injuries directly linked to e-scooter use were collected and retrospectively analyzed. RESULTS A total of 633 patients were admitted to the EDs due to e-scooter injuries during the study period, and 413 of these patients were further analyzed. The majority were males (64.65%), with a median age of 27 years. Most admissions occurred in the afternoon and nighttime (71.94%), with a higher incidence in the summer (46.73%). Falls were the most frequent mechanism of injury (74.09%), with the head and upper and lower extremities being the most frequently affected locations (36.08%, 29.78%, and 21.07%, respectively). Twelve patients (2.91%) confirmed recent alcohol consumption. Hospitalization costs were higher in cases involving alcohol use and among males. CONCLUSIONS The findings of this study underscore the significant strain exerted by e-scooter-related injuries on EDs in Poland. Injuries, notably to the head and limbs, carry significant long-term implications and strain healthcare resources. Collaboration with policymakers is crucial to ensure the safety of e-scooter users and appropriate healthcare resource allocation.

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Speeding, a risky act of driving a vehicle at a speed exceeding the posted limit, has consistently emerged as a leading contributor to traffic fatalities. Identifying the risk factors associated with injury severity in speeding-related crashes is essential for implementing countermeasures aimed at preventing severe injury incidents and achieving Vision Zero goals. With the wealth of traffic crash data collected by various agencies, researchers have a valuable opportunity to conduct data-driven studies and employ various modeling methods to gain insights into the correlated factors affecting injury severity in traffic crashes. Machine learning models, owing to their superior predictive power compared to statistical models, are increasingly being adopted by researchers. These models, in conjunction with interpretation techniques, can reveal potential relationships between crash injury severity and contributing factors. Traffic crashes are inherently tied to geographic locations, distributed across road networks influenced by diverse socioeconomic and geographical factors. Recognizing spatial heterogeneity in traffic safety is crucial for tailored safety measures to address speeding-related crashes, as a one-size-fits-all approach may not work effectively everywhere. However, most existing machine learning models are unable to incorporate the spatial dependency among observations, such as traffic crashes, which hinders their ability to uncover spatial heterogeneity in traffic safety. To address this gap, this study introduces the Geographically Weighted Neural Network (GWNN) model, a spatial machine-learning model that integrates neural network (NN) and geographically weighted modeling approaches to investigate spatial heterogeneity in speeding-related crashes. Unlike the traditional NN model, which trains a single set of model parameters for all observations, the GWNN trains a local NN model for each crash location using a spatially weighted subsample of nearby crashes, allowing for the quantification of corresponding local effects of features through calculating local marginal effects. To understand the spatial heterogeneity in speeding-related crashes, this study extracted two years (2020 and 2021) of speeding-related crash data from Alabama for the development of the GWNN local models. The modeling results show significant spatial variability among several factors contributing to injury severity in speeding-related crashes. These factors include driver condition, vehicle type, crash type, speed limit, weather, crash time and location, roadway alignment, and traffic volume. Based on the GWNN modeling results, this study identified three types of spatial variations in relationships between contributing factors and crash injury severity: consistent positive associations, consistent negative associations, and inverse associations (i.e., marginal effects can vary between positive and negative depending on the location). This study contributes by integrating advanced machine learning and spatial modeling approaches to uncover intricate spatial patterns and factors influencing injury severity in speeding-related crashes, thereby facilitating the development of targeted policy implementations and safety interventions.

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Rear-end (RE) crashes are notably prevalent and pose a substantial risk on freeways. This paper explores the correlation between speed difference among the following and leading vehicles (Δν) and RE crash risk. Three joint models, comprising both uncorrelated and correlated joint random-parameters bivariate probit (RPBP) approaches (statistical methods) and a cross-stitch multilayer perceptron (CS-MLP) network (a data-driven method), were estimated and compared against three separate models: Support Vector Machines (SVM), eXtreme Gradient Boosting (XGBoost), and MLP networks (all data-driven methods). Data on 15,980 two-vehicle RE crashes were collected over a two-year period, from January 1, 2021, to December 31, 2022, considering two possible levels of injury severity: no injury and injury/fatality for both drivers of following and leading vehicles. The comparative performance analysis demonstrates the superior predictive capability of the CS-MLP network over the uncorrelated/correlated joint RPBP model, SVM, XGBoost, and MLP networks in terms of recall, F-1 Score, and AUC. Significantly, numerous shared variables influence the injury severity outcomes for the following and leading vehicles across both statistical and data-driven approaches. Among these factors, the following vehicle (a truck) and the leading vehicle (a passenger car) demonstrate contrasting effects on the injury severity outcomes for both vehicles. Furthermore, the SHapley Additive exPlanations (SHAP) values from the CS-MLP network visually show the relationship between Δν and injury severity, revealing non-linear trends unlike the average effects shown by statistical methods. They indicate that the least injury outcomes for both following and leading vehicles occurs at a Δν of 0 to 10 mph, matching observed patterns in RE crash data. Additionally, a marked variation in the trend of SHAP values for the two vehicles is noted as the speed difference increases. Therefore, the findings affirm the superior performance of joint model development and substantiate the non-linear impacts of speed difference on injury outcomes. The adoption of dynamic speed control measures is recommended to mitigate the injury outcomes involved in two-vehicle RE crashes.

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BACKGROUND: Trauma is a significant public health concern in Iran, with high mortality and morbidity rates. This study aimed to assess trauma patients' profiles in Shahroud, Iran. Study Design: A cross-sectional study. METHODS: The study involved trauma patients who met specific criteria at Imam Hossein hospital in Shahroud, Iran, between 2016 and 2023, using the National Trauma Registry of Iran (NTRI). The relationship between injury characteristics and the cause of injury was analyzed using chi-square test and post hoc analysis. Quintile regression models assessed the association of demographic and clinical variables with length of stay. RESULTS: Among 3513 trauma patients, road traffic crashes (RTCs) had a higher percentage of injuries with the Glasgow Coma Scale (GCS) between 9 and 12 (1.7%) compared to falls (0.3%) (P<0.001). Falls caused more moderate cases with injury severity scores (ISS) ranging from 9 to 15 (22.7%) than RTCs (17.1%) (P<0.001). RTC-related injuries required more ventilation (2.7%) and intensive care unit (ICU) admissions (11.1%) than falls (P<0.001). After adjusting for age, GCS, ISS, and body region, fall had a median length of stay nine hours shorter than RTCs (95% CI = -16.2, -1.8). CONCLUSION: Significant injury pattern differences were observed between RTCs and falls. RTCs had higher frequencies of injuries resulting in GCS scores between 9 and 12, while falls had higher frequencies of moderate ISS scores. In addition, patients with RTC-related injuries required more mechanical ventilation and ICU admissions. Moreover, after adjusting for various factors, patients with RTC-related injuries had a significantly longer hospital stay compared to those with fall-related injuries.

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Traffic crashes involving three-wheeler motorized rickshaw (3-WMR) are alarming public health and socioeconomic concerns in developing countries. While most of the earlier studies have dealt with safety analysis of four- and two-wheelers, there is a noticeable gap in understanding the safety dynamics, especially the risk factors affecting the crashes involving 3-WMR. The present study aims to address this gap by exploring potential risk factors influencing 3-WMR crashes, utilizing a correlated random parameters multinomial logit model with heterogeneity in means (CRPMNLMHM). This modeling framework advances the classic random parameters model by capturing associations among random parameters, providing a more comprehensive understanding of crash risks associated with 3-WMR. The empirical analysis draws on three years of traffic crash records (2017-2019) maintained by RESCUE 1122 in Rawalpindi city, Pakistan. A comparative assessment between the modeling frameworks demonstrated that CRPMNLMHM outperformed its counterparts. Model assessment for heterogeneity in the means identifies two significant variables, i.e., young age and nighttime, which yield statistically significant random parameters. In addition, the model's results suggest that fatal and severe injury outcomes in 3-WMR crashes are affected by several attributes related to temporal characteristics (weekend, nighttime, and off-peak indicators), driver profiles (young, older aged, and speeding), posted speed limits (>70 kmph), weather conditions (raining), and crash characteristics (collision with pedestrians, trucks, or 3-WMR overturning). The present study's findings offer invaluable insights, emphasizing the significance of considering for unobserved heterogeneity in variables contributing to the injury severity of 3-WMR crashes. Moreover, in light of the findings, a set of policy implications are suggested, which will guide safety practitioners to develop more effective countermeasures to address safety issues associated with 3-WMRs.

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Although seatbelt use is known to reduce motor vehicle occupant crash injury and death, rear-seated adult occupants are less likely to use restraints. This study examines risk and protective factors associated with injury severity in front- and rear-seated adults involved in a motor vehicle crash in New York State. The Crash Outcome Data Evaluation System (CODES) (2016-2017) was used to examine injury severity in front- and rear-seated occupants aged 18 years or older (N = 958,704) involved in a motor vehicle crash. CODES uses probabilistic linkage of New York State hospitalization, emergency department, and police and motorist crash reports. Multivariable logistic regression models with MI analyze employed SAS 9.4. Odds ratios are reported as OR with 95% CI. The mortality rate was approximately 1.5 times higher for rear-seated than front-seated occupants (136.60 vs. 92.45 per 100,000), with rear-seated occupants more frequently unrestrained than front-seated occupants (15.28% vs. 1.70%, p < 0.0001). In adjusted analyses that did not include restraint status, serious injury/death was higher in rear-seated compared to front-seated occupants (OR:1.272, 1.146-1.412), but lower once restraint use was added (OR: 0.851, 0.771-0.939). Unrestrained rear-seated occupants exhibited higher serious injury/death than restrained front-seated occupants. Unrestrained teens aged 18-19 years old exhibit mortality per 100,000 occupants that is more similar to that of the oldest two age groups than to other young and middle-aged adults. Speeding, a drinking driver, and older vehicles were among the independent predictors of serious injury/death. Unrestrained rear-seated adult occupants exhibit higher severe injury/death than restrained front-seated occupants. When restrained, rear-seated occupants are less likely to be seriously injured than restrained front-seated occupants.

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BACKGROUND: Severe injuries in child-care institutions are an important social issue. However, no reports on this matter have been made in Japan. This study examined trends in severe injuries at child-care institutions, including the impact of the coronavirus disease 2019 (COVID-19) pandemic. METHODS: We conducted a serial cross-sectional study and interrupted time-series (ITS) analysis with a linear regression model to assess trends in the incidence rate of severe injuries using Japanese national open data between January or April 2017 and December 2021. Participants were individuals utilizing legislated types child-care institutions. The outcomes were annual and monthly incidence rates of severe injuries in legislated types child-care institutions. RESULTS: The number of legislated types child-care institutions increased from 32,793 facilities in 2017 to 38,666 facilities in 2021, and the number of participants rose from 2,802,228 in 2017 to 3,059,734 in 2021. The annual incidence rate of severe injuries in 2021 was 58.3 cases per 100,000 person-years, which is twofold higher than that in 2017. The ITS for the monthly incidence rate demonstrated an increasing trend before the COVID-19 pandemic. CONCLUSIONS: Before the COVID-19 pandemic, the monthly incidence rate of severe injuries in legislated types child-care institutions increased. The annual incidence rate in Japan may have also increased during the observation period.

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In this case report, a unique instance of delayed isolated anterior branch axillary nerve injury following shoulder dislocation is highlighted. The patient, a 55-year-old manual laborer, presented with severe deltoid wasting and reduced power 18 months postdislocation, necessitating a specialized treatment approach. The use of axillary nerve neurolysis and an innovative upper trapezius to anterior deltoid transfer via a subacromial path posterior to the clavicle, facilitated by an autologous semitendinosus graft, resulted in significant improvement with 160 degrees of abduction and Grade 4+ power Medical Research Council grading (MRC) at the 5-year follow-up.

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There is a need to determine the role of smoking/vaping related products in Emergency Department (ED) product-related injuries by age and sex to determine if interventions are warranted. These products include the combustible tobacco products' paraphernalia to light them (CTPP), electronic nicotine delivery systems (ENDS), and electronic non-nicotine delivery system (ENNDS). Data from the National Electronic Injury Surveillance System (NEISS), years 2012-2022, were examined for injury data associated with CTPP and ENDS/ENNDS. Bivariate comparisons were conducted. There were an estimated 3,142 (95%CI: 2,384-3,975) ED-treated ENDS/ENNDS product-related injuries and 46,116 (95%CI: 38,712-53,520) CTPP product-related injuries. Males were more likely to have an ED-treated ENDS/ENNDS product-related injury than females (proportion 0.93 [95%CI: 0.82, 0.98] versus 0.70 [95%CI: 0.02, 0.19]) as well as a CTPP product-related injury than females (proportion, 0.60 [95%CI: 0.56, 0.64] versus 0.40 [95%CI: 0.37, 0.44]). There were more ED-treated ENDS/ENNDS product-related injuries among persons ≥18 years than <18 years (proportion, 0.89 [95%CI: 0.75, 0.96] versus 0.11 [95% CI: 0.4, 0.35]). There were also more ED-treated CTPP product injuries among persons ≥ 18 years than <18 years (proportion, 0.73 [95%CI: 0.68, 0.78] versus 0.27 [95%CI: 0.22, 0.32]). No change in the proportion of injuries in our sample associated with END/ENNDS over time were observed. There is a need to consider injuries related to ENDS/ENNDS and CTPP product-related injuries in the discussion of the risks associated with smoking/vaping. Although ENDS/ENNDS have had fewer ED-treated injuries, the number of such injuries has remained stable, rather than declined over the previous decade. Injury prevention is a public health imperative and targeted interventions by healthcare providers during routine care, and the use of public service announcements could specifically target adults ≥18 years. Providing peer-to-peer educational programs, and initiating similar programs targeted at males who use CTP and ENDS/ENNDS have the potential to decrease injury risk.

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This study analyzed physical violence against physicians in Egypt from a medicolegal perspective. 88%, 42%, and 13.2% of participants were exposed to verbal, physical, and sexual violence. Concerning the tools of violence, 75.2% of attackers used their bodies. Blunt objects (29.5%), sharp instruments (7.6%), and firearm weapons (1.9%) were used. The commonest manners of attacks were pushing/pulling (44.8%), throwing objects (38.1%), and fists (30.5%). Stabbing (4.8%) and slashing (2.9%) with sharp instruments were also reported. Traumas were mainly directed towards upper limbs (43.8%), trunks (40%), and heads (28.6%). Considering immediate effects, simple injuries were reported that included contusions (22.9%), abrasions (16.2%), and cut wounds (1.9%). Serious injuries included firearm injuries (4.8%), internal organs injuries (3.8%), fractures (2.9%), and burns (1.9%). Most (90.5%) of injuries healed completely, whereas 7.6% and 1.9% left scars and residual infirmities, respectively. Only 14.3% of physicians proceeded to legal action. The current study reflects high aggression, which is disproportionate to legal actions taken by physicians. This medicolegal analysis could guide protective measures for healthcare providers in Egypt. In addition, a narrative review of studies from 15 countries pointed to violence against physicians as a worldwide problem that deserves future medicolegal analyses.

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Civilian injuries caused during contact with law enforcement personnel erode community trust in policing, impact individual well-being, and exacerbate existing health inequities. We assessed the relationship between ZIP code-level rates of civilian injuries caused during legal interventions and community-level sociodemographic characteristics using Illinois hospital data from 2016 to 2022. We developed multivariable Poisson regression models to examine whether legal intervention injury rates differed by race-ethnicity and community economic disadvantage across three geographic regions of Illinois representing different levels of urbanization. Over the study period, 4976 civilian injuries were treated in Illinois hospitals (rate of 5.6 per 100,000 residents). Compared to non-Hispanic white residents, non-Hispanic Black residents demonstrated 5.5-10.5 times higher injury rates across the three geographic regions, and Hispanic-Latino residents demonstrated higher rates in Chicago and suburban Cook County, but lower rates in the rest of the state. In most regions, models showed that as the percent of minority residents in a ZIP code increased, injury rates among non-Hispanic Black and Hispanic-Latino residents decreased. As community economic disadvantage increased at the ZIP code level, civilian injury rates increased. Communities with the highest injury rates involving non-Hispanic white residents were significantly more economically unequal and disadvantaged. While the injury rates were consistently and substantially higher among non-Hispanic Black residents throughout the state, the findings illustrate that the association between overall civilian injuries caused during contact with law enforcement and community sociodemographic characteristics varied across regions. Data on local law enforcement agency policies and procedures are needed to better identify appropriate interventions.

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This study simultaneously modelled the injury severity of motorcycle riders and their pillion passengers and determine the associated risk factors. The analysis is based on motorcycle crashes data in Ashanti region of Ghana spanning from 2017 to 2019. The study implemented bivariate ordered probit model to identify the possible risk factors under the premise that the injury severity of pillion passenger is endogenously related to that of the rider in the event of crash. The model provides more efficient estimates by considered the common unobserved factors shared between rider and pillion passenger. The result shows a significant positive relationship between the two injury severities with a correlation coefficient of 0.63. Thus, the unobservable factors that increase the probability of the rider to sustain more severe injury in the event of crash also increase that of their corresponding pillion passenger. The rider and their pillion passenger injury severities have different propensity to some of the risk factors including passengers' gender, day of week, road width and light condition. In addition, the study found that time of day, weather condition, collision type, and number of vehicles involved in the crash jointly influence the injury severity of both rider and pillion passenger significantly.

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To describe the sociodemographic data of injured pedestrians, temporal patterns of injury, injury patterns, and the independent predictors of hospital admission. A two year cross-sectional study was conducted at the Saint Ann's Bay Regional Hospital in pedestrians with injuries post collision with a motor vehicle. A census was performed in all patients who received either emergency room treatment, hospital admission, or surgical intervention. A 30-item interviewer questionnaire was administered to collect the data. A logical regression model was used to determine independent predictors for hospital admission. Ninety pedestrians were included. Age range: 6-86 years old (Mean=39.9). Males were 63.3%, 75.6% were employed, 31% had a chronic illness and 27% reported marijuana use. Most injuries occurred in April, lowest injury rates occurred in August and September. Twenty two percent of collisions occurred on Saturdays. Most injuries occurred at 5pm and 3pm. Many (54.4%) had a fracture, 73.5% were closed. Approximately 32% had contusions and 6.7% had lacerations. Independent predictors of admission were history of marijuana use and having a fracture. Those with history of marijuana use were 4.21 times more likely to be admitted. Those with fractures were 7.10 times more likely to be admitted. Injury patterns spanned a wide age range. They often involved a high energy mechanism of injury as evidenced by the frequency of fractures, hospital admission and surgery intervention rates. The data also suggests a need to implement marijuana testing programmes in our road users.

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To effectively reduce road traffic crashes (RTCs) and injuries interventions should be based on firm evidence regarding risk factors of RTCs and injuries in that specific population. Therefore, we undertook a systematic review to determine risk factors of RTCs and injuries among commercial motorcycle drivers. Searches were performed from inception to May 2022 in Medline, Embase, Cochrane Library, Web of Science Core Collection, PsycINFO and Cinahl, along with registers and reference lists. Inclusion criteria were commercial motorcycle drivers, quantitative observational studies, and RTCs and injuries. The search resulted in 1546 articles, of which 20 met the relevance and quality criteria. Of the 20 articles, 17 were cross-sectional, 2 were case-control studies, and one was a cohort study. Close to half of all articles (9) came from sub-Saharan Africa. Risk factors with consistent association with RTCs and injuries were young age, low education level, alcohol consumption, speeding, mobile phone use, non-helmet use, risky driving behaviours and long working hours. There was inconclusive evidence for driver's training, work schedules, motorcycle ownership, experience, dependents number, and marital status. More robust designs such as case-control or longitudinal studies are required to gain a comprehensive understanding of the antecedents of RTCs among commercial motorcycle drivers.

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BACKGROUND: Physical abuse is a major public health concern and a leading cause of morbidity and mortality in infants. Clinical decision tools derived from trauma registries can facilitate timely risk-stratification. The Trauma Quality Improvement Program (TQIP) database does not report age for children <1 year who are at highest risk for abuse. We report a method to capture these infants despite the missing age. METHODS: Patients ≤17 years were identified from TQIP (2017-2019). The primary outcomes included injuries resulting from confirmed or suspected child abuse captured by diagnosis codes or report/investigation of physical abuse, or different caregiver at discharge available in TQIP. We used two methods to select infants within TQIP. In the first, World Health Organization (WHO) growth standards for stature or length-for-age and weight-for-age were selected to capture children younger than 1 year. In the second, a K-means machine learning algorithm was used to cluster patients by weight and height. We compared outcome and injury data with and without patients <1 year. RESULTS: Using the WHO growth standard 19,916 children <1 year were identified. A total of 20,513 patients had a report of physical abuse filed, and 9393 were infants <1 year. Increased age-adjusted odds ratios [95% CI] were seen for fractures of the upper limb (1.28 [1.22-1.34]), vertebrae (1.89 [1.68-2.13]), ribs (5.2 [4.8-5.63]), and spinal cord (3.39 [2.85-4.02]) and head injuries (1.55 [1.5-1.6]) with infants included. CONCLUSIONS: In a nationwide trauma registry, WHO growth standards can be used to capture patients under one year who are more adversely impacted by maltreatment. TYPE OF STUDY: Retrospective, Cross-sectional. LEVEL OF EVIDENCE: Level III, Diagnostic.

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