Vehicle Crashes Research Articles

Patterns and sources of spatial inequity in freight crashes: An application of decomposition analysis

Despite considerable increases in road freight traffic and associated crashes over the past decade, our understanding of their spatial distribution remains limited. This is concerning because freight vehicle crashes often lead to fatal and severe injuries. This study focuses on Seoul, South Korea and contributes to the literature by investigating the patterns and sources of spatial inequity in freight crashes. Specifically, it examines whether socioeconomically disadvantaged neighborhoods experience a higher concentration of freight crashes. Using the Gelbach’s decomposition technique, this study also aims to identify the factors contributing to differences in freight crashes between disadvantaged and less-disadvantaged neighborhoods and quantify their relative contributions. The regression results show that severe freight crashes are more prevalent in disadvantaged neighborhoods before adjusting for other factors—a pattern not observed in non-severe crashes. The decomposition analysis reveals that the observed disparities in severe freight crashes between disadvantaged and less-disadvantaged neighborhoods are fully explained by differences in several neighborhood characteristics, including local road density, truck traffic volume density, proximity to logistics terminals, and off-road bicycle lane density, between neighborhood types. Interestingly, differences in built environment characteristics between neighborhood types not only fail to explain but instead counteract the disparities in severe freight crashes. The findings of this study suggest detailed policy implications for mitigating freight crash occurrences and addressing related spatial inequities.

Evaluation of a novel head and neck restraint for harness-restrained children

Motor Vehicle Crashes (MVCs) are a common source of neck injury and, although rare, catastrophic neck injury occurs in restrained children up to age 10 years old. Recently, a head/neck support (HNS) that cradles the head during sleep was developed. The objective of this study was to determine if the HNS improves injury criteria measured on anthropomorphic test devices (ATDs) in front facing 5-point harness child restraint systems (FFCRS). Nineteen matched pair frontal impact sled tests were conducted with ATDs representing the 12 month old, or 3 or 6 year old child in FFCRS. HNS reduced HIC36 by median 22.2%, maximum resultant head acceleration (3ms clip) by 16.2%, head excursion by 8.2%, and neck tension by 12.2%. Providing supplemental restraint directly to the head has the potential to improve injury outcomes while not adding to harm during common misuse scenarios, but further research is needed to determine if these benefits persist in real-world crashes.

Classification of autonomous vehicle crash severity: Solving the problems of imbalanced datasets and small sample size

Only a few researchers have shown how environmental factors and road features relate to Autonomous Vehicle (AV) crash severity levels, and none have focused on the data limitation problems, such as small sample sizes, imbalanced datasets, and high dimensional features. To address these problems, we analyzed an AV crash dataset (2019 to 2021) from the California Department of Motor Vehicles (CA DMV), which included 266 collision reports (51 of those causing injuries). We included external environmental variables by collecting various points of interest (POIs) and roadway features from Open Street Map (OSM) and Data San Francisco (SF). Random Over-Sampling Examples (ROSE) and the Synthetic Minority Over-Sampling Technique (SMOTE) methods were used to balance the dataset and increase the sample size. These two balancing methods were used to expand the dataset and solve the small sample size problem simultaneously. Mutual information, random forest, and XGboost were utilized to address the high dimensional feature and the selection problem caused by including a variety of types of POIs as predictive variables. Because existing studies do not use consistent procedures, we compared the effectiveness of using the feature-selection preprocessing method as the first process to employing the data-balance technique as the first process.Our results showed that AV crash severity levels are related to vehicle manufacturers, vehicle damage level, collision type, vehicle movement, the parties involved in the crash, speed limit, and some types of POIs (areas near transportation, entertainment venues, public places, schools, and medical facilities). Both resampling methods and three data preprocessing methods improved model performance, and the model that used SMOTE and data-balancing first was the best. The results suggest that over-sampling and the feature selection method can improve model prediction performance and define new factors related to AV crash severity levels.

Alcohol is a risk factor for helmet non-use and fatalities in off-road vehicle and motorcycle crashes.

Off-road vehicle (ORV) and motorcycle use is common in Canada; however, risk of serious injury is heightened when these vehicles are operated without helmets and under the influence of alcohol. This study evaluated the impact of alcohol intoxication on helmet non-use and mortality among ORV and motorcycle crashes. Using data collected from the Nova Scotia Trauma Registry, a retrospective analysis (2002-2017) of ORV and motorcycle crashes resulting in major traumatic brain injury was performed. Patients were grouped by blood alcohol concentration (BAC) as negative (< 2 mmol/L), legally intoxicated (2-17.3 mmol/L) or criminally intoxicated (> 17.3 mmol/L). Logistic regression models were constructed to test for helmet non-use and mortality. A total of 424 trauma patients were included in the analysis (220 ORV, 204 motorcycle). Less than half (45%) of patients involved in ORV crashes were wearing helmets and 65% were criminally intoxicated. Most patients involved in motorcycle crashes were helmeted at time of injury (88.7%) and 18% were criminally intoxicated. Those with criminal levels of intoxication had 3.7 times the odds of being unhelmeted and were 3 times more likely to die prehospital compared to BAC negative patients. There were significantly increased odds of in-hospital mortality among those with both legal (OR = 5.63), and criminal intoxication levels (OR = 4.97) compared to patients who were BAC negative. Alcohol intoxication is more frequently observed in ORV versus motorcycle crashes. Criminal intoxication is associated with helmet non-use. Any level of intoxication is a predictor of increased in-hospital mortality.

Presentations and management of hospitalized patients with upper extremity fractures at a level 1 trauma center: a 5-year observational study

BackgroundUpper extremity injuries (UEIs) are common in the emergency departments, yet they are under-reported in developing countries. This study examined the frequency, injury characteristics, and treatment approaches of upper extremity fractures (UEFs) among hospitalized trauma patients in a nationally representative population.MethodsWe conducted a retrospective, observational study including all the hospitalized patients with UEFs in the only level 1 trauma center in Qatar between July 2015 and August 2020. Comparative analyses were performed according to injury mechanisms, severity, and management approach.ResultsA total of 2,023 patients sustained UEIs with an average age of 34.4 ± 12.9 years, and 92% were males. Motor vehicle crashes (MVCs; 42.3%) were the primary cause of shoulder girdle injuries in 48.3% of cases. Fractures of the radius, ulna, and hands occurred in 30.8, 16.5 and 14.5%, respectively. Young adults were more involved in MVCs and motorcycle crashes (MCCs), while pedestrians who were typically older had a higher rate of humerus fractures. Patients with MCCs had a higher rate of clavicle and ulna fractures. Pedestrians were at risk of serious injuries, with a higher mean injury severity score and lower Glasgow Coma Scale.ConclusionMost UEFs patients were young males and mainly affected by MVCs. Shoulder girdle, particularly clavicle and scapula/glenoid fractures, emerged as common injury sites. The study highlighted the potential risk of pedestrian injuries, as reflected in higher injury severity, concomitant injuries, and higher mortality. Future studies are needed to optimize preventive measures by incorporating insights into specific injury mechanisms and patterns of UEIs.

Three-Dimensional-Digital Image Correlation Methodology for Kinematic Measurements of Non-Penetrating Blunt Impacts.

Blunt force trauma remains a serious threat to many populations and is commonly seen in motor vehicle crashes, sports, and military environments. Effective design of helmets and protective armor should consider biomechanical tolerances of organs in which they intend to protect and require accurate measurements of deformation as a primary injury metric during impact. To overcome challenges found in velocity and displacement measurements during blunt impact using an integrated accelerometer and two-dimensional (2D) high-speed video, three-dimensional (3D) digital image correlation (DIC) measurements were taken and compared to the accepted techniques. A semispherical impactor was launched at impact velocities from 14 to 20 m/s into synthetic ballistic gelatin to simulate blunt impacts observed in behind armor blunt trauma (BABT), falls, and sports impacts. Repeated measures Analysis of Variance resulted in no significant differences in maximum displacement (p = 0.10), time of maximum displacement (p = 0.21), impact velocity (p = 0.13), and rebound velocity (p = 0.21) between methods. The 3D-DIC measurements demonstrated equal or improved percent difference and low root-mean-square deviation compared to the accepted measurement techniques. Therefore, 3D-DIC may be utilized in BABT and other blunt impact applications for accurate 3D kinematic measurements, especially when an accelerometer or 2D lateral camera analysis is impractical or susceptible to error.

Simulation of Automobile Structural Member Deformation and Crash via Isogeometric Analysis

We conducted an isogeometric analysis (IGA) to evaluate the performance of automobile structural member deformation and crash. In automobile crash analysis, ensuring the accuracy of the acceleration, velocity, and load in time series, as well as the structural deformation behavior, is important. To maintain the aforementioned consistency, accurately reproducing the bending and buckling of structural members is indispensable. In this study, we firstly computed the bending and buckling of structural members using IGA and validated its performance by comparing the results with those of a conventional finite element analysis and experiments. In addition, we utilized IGA for the crash analysis of an automobile body.

Comparison of injury severity level involving drivers with and without commercial driver’s licence involved in small vehicle crashes

As vehicle operators, some drivers may have significant impacts on crash-injury severity, and it may be of interest to understand the underlying mechanism of how driver characteristics affect the crash-injury severity. Therefore, this study explored the effect of driver characteristics on crash-injury severity, specifically focusing on drivers with and without commercial driver’s licences (CDL) when driving small vehicles (passenger car, SUV, and pickup truck) with consideration of drivers’ heterogeneity. Crash data from Maryland between January 2015 and December 2018 were analysed, considering factors such as roadway, driver, vehicle, environmental, crash, and temporal characteristics. Furthermore, the random parameters multinomial logit model was adopted to analyse how significant factors affect the crash-injury severity of drivers with and without CDLs. The study identified common features in injury severity among these two types of drivers, as well as notable differences based on their licence types. These findings may provide valuable insights for developing effective long-term strategies to reduce crash.

Heavy Vehicle Crashes at Unsignalized Intersections: Embracing Unobserved Heterogeneity in Injury Severity Analysis

Heavy Vehicle Crashes at Unsignalized Intersections: Embracing Unobserved Heterogeneity in Injury Severity Analysis

Just a head knock? Emergency physicians need to get serious about concussion.

Attention and awareness regarding concussion injury in Australia have significantly increased in the last decade. Although most of this increase is because of discussion regarding concussions from sporting endeavours, the majority of concussions are from non-sport environments including motor vehicle crashes, workplace incidents, falls, accidents, assault and intimate partner violence. In all cases, hospital EDs are the first point of contact, yet as argued in our Opinion here, there are concerns regarding the consistency of care protocols, because of a number of reasons, as well as management and follow-up clinical practices. Our Opinion is to provide a constructive discussion as well as calling for ACEM to support research to provide evidence-based data. Finally, we provide some recommendations that could be implemented immediately to improve clinical practice for presentations of concussion injuries in EDs.

Brain Deformation Estimation With Transfer Learning for Head Impact Datasets Across Impact Types.

The machine-learning head model (MLHM) to accelerate the calculation of brain strain and strain rate, which are the predictors for traumatic brain injury (TBI), but the model accuracy was found to decrease sharply when the training/test datasets were from different head impacts types (i.e., car crash, college football), which limits the applicability of MLHMs to different types of head impacts and sports. Particularly, small sizes of target dataset for specific impact types with tens of impacts may not be enough to train an accurate impact-type-specific MLHM. To overcome this, we propose data fusion and transfer learning to develop a series of MLHMs to predict the maximum principal strain (MPS) and maximum principal strain rate (MPSR). The strategies were tested on American football (338), mixed martial arts (457), reconstructed car crash (48) and reconstructed American football (36) and we found that the MLHMs developed with transfer learning are significantly more accurate in estimating MPS and MPSR than other models, with a mean absolute error (MAE) smaller than 0.03 in predicting MPS and smaller than [Formula: see text] in predicting MPSR on all target impact datasets. High performance in concussion detection was observed based on the MPS and MPSR estimated by the transfer-learning-based models. The MLHMs can be applied to various head impact types for rapidly and accurately calculating brain strain and strain rate. This study enables developing MLHMs for the head impact type with limited availability of data, and will accelerate the applications of MLHMs.

The changing epidemiology of traumatic spine injuries: a trends analysis of 26 years of patients at a major level 1 trauma center in the United States

BACKGROUND CONTEXTTraumatic spinal injuries (TSI) are associated with high morbidity, mortality, and resource utilization. The epidemiology of TSI varies greatly across different countries and regions and is impacted by national income levels, infrastructure, and cultural factors. Further, there may be changes over time. It is essential to investigate TSI to gain useful epidemiologic information. However, there have been no recent studies on trends for TSI in the US, despite the changing population demographics, healthcare policy, and technology. As a result, reexamination is warranted to reflect how the modern era has affected the epidemiology of US spine trauma patients and their management. PURPOSETo determine epidemiologic trends in traumatic spine injuries over time. STUDY DESIGN/SETTINGRetrospective analysis; level 1 trauma center in the United States. PATIENT SAMPLEA total of 21,811 patients, between the years of 1996 and 2022, who presented with traumatic spine injury. OUTCOME MEASURESAge, sex, race, Injury Severity Score, mechanism of injury, injury diagnosis, injury level, rate of operative intervention, hospital length of stay, intensive care unit length of stay, discharge disposition, in-hospital mortality. METHODSData was collected from our institutional trauma registry over a 26-year period. Inclusion criteria involved at least one diagnosis of vertebral fracture, spinal cord injury, spinal subluxation, or intervertebral disc injury. Exclusion criteria consisted of patients with no diagnosed spine injury or a diagnosis of strain only. A total of 21,811 patients were included in the analysis. Descriptive statistics were tabulated and ordinary least squares linear regression was conducted for trends analysis. RESULTSRegression analysis showed a significant upward trend in patient age (+13.83 years, β=+0.65/year, p<.001), female sex (+2.7%, β=+0.18%/year, p=.004), falls (+10.5%, β=+0.82%/year, p<.001), subluxations (+12.8%, β=+0.35%/year, p<.001), thoracic injuries (+1.5%, β=+0.28%/year, p<.001), and discharges to subacute rehab (+15.9%, β=+0.68%/year, p<.001). There was a significant downward trend in motor vehicle crashes (-7.8%, β=-0.47%/year, p=.016), firearms injuries (-3.4%, β=-0.19%/year, p<.001), sports/recreation injuries (-2.9%, β=-0.18%/year, p<.001), spinal cord injuries (-11.25%, β=-0.37%, p<.001), complete spinal cord injuries (-7.6%, β=-0.24%/year, p<.001), and discharges to home (+4.5%, β=-0.27%/year, p=.011). CONCLUSIONSAt our institution, the average spine trauma patient has trended toward older females. Falls represent an increasing proportion of the mechanism of injury, on a trajectory to become the most common cause. With time, there have been fewer spinal cord injuries and a lower proportion of complete injuries. At discharge, there has been a surge in the utilization of subacute rehabilitation facilities. Overall, there has been no significant change in injury severity, rate of operative intervention, length of stay, or mortality.

Investigating the Effect of Microscopic Real-Time Weather Data on Commercial Motor Vehicle Crash Injury Severity in Kentucky

Investigating the Effect of Microscopic Real-Time Weather Data on Commercial Motor Vehicle Crash Injury Severity in Kentucky

시공간 베이지안 모형 기반의 대전광역시 근린지역 교통사고 위험 분석

시공간 베이지안 모형 기반의 대전광역시 근린지역 교통사고 위험 분석

Demographic and injury trends for car crash casualties hospitalized in Level I Trauma centers over two decades: data from the National Trauma Registry

BackgroundDuring the past two decades, there have been many changes in automotive and medical technologies, road infrastructure, trauma systems, and demographic changes which may have influenced injury outcomes. The aim of this study was to examine injury trends among traffic casualties, specifically private car occupants, hospitalized in Level I Trauma Centers (TC).MethodsA retrospective cohort study was performed based on data from the Israel National Trauma Registry. The data included occupants of private cars hospitalized in all six Level I TC due to a traffic collision related injury between January 1, 1998 and December 31, 2019. Demographic, injury and hospitalization characteristics and in-hospital mortality were analyzed. Chi-squared (X2) test, multivariable logistic regression models and Spearman’s rank correlation were used to analyze injury data and trends.ResultsDuring the study period, 21,173 private car occupants (14,078 drivers, 4,527 front passengers, and 2,568 rear passengers) were hospitalized due to a traffic crash. The percentage of females hospitalized due to a car crash increased from 37.7% in 1998 to 53.7% in 2019. Over a twofold increase in hospitalizations among older adult drivers (ages 65+) was observed, from 6.5% in 1998 to 15.7% in 2018 and 12.6% in 2019. While no increase was observed for severe traumatic brain injury, a statistically significant increase in severe abdominal and thoracic injuries was observed among the non-Jewish population along with a constant decrease in in-hospital mortality.ConclusionsThis study provides interesting findings regarding injury and demographic trends among car occupants during the past two decades. Mortality among private car occupant casualties decreased during the study period, however an increase in serious abdominal and thoracic injuries was identified. The results should be used to design and implement policies and interventions for reducing injury and disability among car occupants.

Demographic characteristics and trends of cell phone use while driving citations in selected states in the United States, 2010–2020

Objective Distracted driving is a leading cause of motor vehicle crashes, and cell phone use is a major source of in-vehicle distraction. Many states in the United States have enacted cell phone use laws to regulate drivers’ cell phone use behavior to enhance traffic safety. Numerous studies have examined the effects of such laws on drivers’ cell phone use behavior based on self-reported and roadside observational data. However, little was known about who actually violated the laws at the enforcement level. This study sought to uncover the demographic characteristics of drivers cited for cell phone use while driving and whether these characteristics changed over time since the enactment of cell phone laws. Methods We acquired useable traffic citation data for 7 states in the United States from 2010 to 2020 and performed descriptive and regression analyses. Results Male drivers were cited more for cell phone use while driving. Handheld and texting bans were associated with a greater proportion of cited drivers aged 40 and above, compared to texting-only bans. Trends in the citations issued based on drivers’ age group following the enactment of different cell phone laws were also uncovered. The proportion of citations issued to drivers aged 60 and above increased over time but the temporal trend remained insignificant when population effect was considered. Conclusions This study examined the demographic characteristics of drivers cited for cell phone use while driving in selected states with texting-only bans or handheld and texting bans. The results reveal policy-based differences in trends in the proportion of citations issued to drivers in different age groups.

Risk and Protective Factors for Injury in Adult Front- and Rear-Seated Motor Vehicle Occupants in New York State.

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.

Driving performance of long-term users of sedating antidepressants and benzodiazepines

Objective Using benzodiazepines and certain antidepressants is associated with an increased risk of motor vehicle crashes due to impaired driving skills. Hence, several countries prohibit people who use these drugs from driving. Traffic regulations for driving under the influence of these drugs are, however, largely based on single-dose studies with healthy participants. The effects of drugs on chronic users may be different because of potential development of tolerance or by adapting behavior. In this study, we test the effects of anti-depressants, hypnotics, or anxiolytics use on driving performance in patients who use these drugs for different durations and compare the effects to healthy controls’ performance. Methods Sixty-six healthy controls and 82 medication users were recruited to perform four drives in a driving simulator. Patients were divided into groups that used anti-depressants, hypnotics, or anxiolytics, for shorter or longer than 3 years (i.e. LT3− or LT3+, respectively). The minimum term of use was 6 months. Driving behavior was measured in terms of longitudinal and lateral control (speed variability and Standard Deviation of Lateral Position: SDLP), brake reaction time, and time headway. Impaired driving performance was defined as performing similar to driving with a Blood Alcohol Concentration of 0.5‰ or higher, determined by means of non-inferiority analyses. Results Reaction time analyses revealed inconclusive findings in all groups. No significant performance differences between matched healthy controls, LT3− (n = 2), and LT3+ (n = 8) anxiolytics users were found. LT3+ antidepressants users (n = 12) did not perform inferior to their matched controls in terms of SDLP. LT3− hypnotics users (n = 6) showed more speed variability than their matched healthy controls, while this effect was not found for the LT3+ group (n = 14): the latter did not perform inferior to the healthy controls. Regarding Time Headway, no conclusions about the LT3− hypnotics group could be drawn, while the LT3+ group did not perform inferior compared to the control group. Conclusions The small number of anxiolytics users prohibits drawing conclusions about clinical relevance. Although many outcomes were inconclusive, there is evidence that some elements of complex driving performance may not be impaired (anymore) after using antidepressants or hypnotics longer than 3 years.

Sonically-enhanced in-vehicle air gesture interactions: evaluation of different spearcon compression rates

Driver distraction is a major contributor to road vehicle crashes, and visual distraction caused by using in-vehicle infotainment systems (IVIS) degrades driving performance and increases crash risk. Air gesture interfaces have been developed to mitigate driver distraction, and using auditory displays showed a decrease in off-road glances and an improved perceived workload. However, the potential of auditory display was not fully investigated. The present paper presents directional research in the design of auditory displays for air-gesture IVIS through a dual-task experiment of driving a simulator and air-gesture menu navigation. Twenty-four participants utilized the in-vehicle air gesture interfaces while driving with four auditory display conditions (text-to-speech, 70% compressed spearcons, 40% compressed spearcson, and no sound). The results showed that 70% spearcon reduced visual distraction and increased menu navigation accuracy but with increased navigation time. 70% spearcon was most preferred by the participants. Driving performance or workload did not show any difference among the conditions. Implications are discussed with the design guidelines for future implementations.

Management of physical and psychological trauma resulting from motor vehicle crashes in Australian general practice: a mixed-methods approach

BackgroundIn Australia, motor vehicle crashes (MVC)-related health data are available from insurance claims and hospitals but not from primary care settings. This study aimed to identify the frequency of MVC-related consultations in Australian general practices, explore the pharmacological management of health conditions related to those crashes, and investigate general practitioners’ (GPs) perceived barriers and enablers in managing these patients.MethodsMixed-methods study. The quantitative component explored annual MVC-related consultation rates over seven years, the frequency of chronic pain, depression, anxiety or sleep issues after MVC, and management with opioids, antidepressants, anxiolytics or sedatives in a sample of 1,438,864 patients aged 16 + years attending 402 Australian general practices (MedicineInsight). Subsequently, we used content analysis of 81 GPs’ qualitative responses to an online survey that included some of our quantitative findings to explore their experiences and attitudes to managing patients after MVC.ResultsMVC-related consultation rates remained stable between 2012 and 2018 at around 9.0 per 10,000 consultations. In 2017/2018 compared to their peers, those experiencing a MVC had a higher frequency of chronic pain (48% vs. 26%), depression/anxiety (20% vs. 13%) and sleep issues (7% vs. 4%). In general, medications were prescribed more after MVC. Opioid prescribing was much higher among patients after MVC than their peers, whether they consulted for chronic pain (23.8% 95%CI 21.6;26.0 vs. 15.2%, 95%CI 14.5;15.8 in 2017/2018, respectively) or not (15.8%, 95%CI 13.9;17.6 vs. 6.7%, 95% CI 6.4;7.0 in 2017/2018). Qualitative analyses identified a lack of guidelines, local referral pathways and decision frameworks as critical barriers for GPs to manage patients after MVC. GPs also expressed interest in having better access to management tools for specific MVC-related consequences (e.g., whiplash/seatbelt injuries, acute/chronic pain management, mental health issues).ConclusionChronic pain, mental health issues and the prescription of opioids were more frequent among patients experiencing MVC. This reinforces the relevance of appropriate management to limit the physical and psychological impact of MVC. GPs identified a lack of available resources (e.g. education, checklists and management support tools) for managing MVC-related consequences, and the need for local referral pathways and specific guidelines to escalate treatments.