Characteristics of fatal and non-fatal drownings at a Texas level-1 paediatric trauma centre.

BACKGROUND: Drowning is a leading cause of death for young children and knowing what puts a child at risk helps efforts across the spectrum of prevention. The purpose of this study was to identify risk and protective factors associated with hospital admission and mortality following paediatric drowning from a large level-1 paediatric trauma centre. METHODS: Children (ages 0-17) who presented at an emergency department or were admitted for a drowning event between 2017 and 2023 were included in this retrospective cohort study (n=698). This study examined differences between patients who were admitted compared with not admitted, and those who survived compared with those who did not survive. RESULTS: Participants who had adult supervision at the time of their drowning were significantly less likely to be admitted (OR=0.31, 95% CI 0.22 to 0.43, p<0.001) and significantly more likely to survive (OR=6.9, 95% CI 3.2 to 15.4, p<0.001). The environment also played a significant role in drowning outcomes. Children who drowned in a pool compared with other bodies of water were significantly more likely to survive (OR=3.0, 95% CI 1.6 to 5.5, p<0.001). Children from communities with higher child opportunity compared with those from very low opportunity were both simultaneously more likely to be admitted (IRR=1.7-2.4, 95% CI 1.3 to 3.3, p<0.001) and more often survived (IRR=1.7-3.0, 95% CI 1.3 to 3.5, p<0.001). CONCLUSION: Our analysis revealed significant differences in drowning risk related to adult supervision, location of drowning and where a child lives. These findings can help drowning prevention strategies mitigate the severity of drowning by enhancing educational messages, resources and policy.

Association between e-scooter temporal usage patterns with injuries resulting in admission to a level one trauma center.

BACKGROUND: As e-scooters have become common modes of transportations in urban environments, riding e-scooters has become a common mechanism of injury. This study examines the relationship between when riders are using these devices (i.e. day of week, and time of the day) and injury incidence based on data from a large U.S. city. METHODS: This study is a retrospective cohort study of patients in the trauma registry at a level one trauma center. Registry data were combined with a publicly available dataset of all e-scooter trips that occurred during the study period. Frequency of injuries and trips were analyzed using ANOVA. Poisson regressions were conducted to calculate incidence rate ratios associated with injury incidence by day of the week and time of day. RESULTS: A total of 194 injured e-scooter patients were admitted to the trauma center during the study period. Patients were injured most often on Fridays (21%) and most often presented between 18:00-23:59 (38%). E-Scooter riders in general, most often rode on Saturdays (20%) and between 12:00-17:59 (44%). There was no significant relationship between day of week and injury. Riders in the early morning (IRR = 16.7, p < .001 95% CI: 10.5, 26.6), afternoon (IRR = 2.0, p = .01 95% CI: 1.2, 3.4), and evening (IRR = 3.7, p < .001 95% CI: 2.3, 6.2) had significant increased injury incidence compared to morning riders. CONCLUSION: E-Scooter injury incidence varies by the time of day. The time of day in which a person rides an e-scooter can have a significant impact on the likelihood that the person will sustain an injury.

Injury rates per mile of travel for electric scooters versus motor vehicles.

OBJECTIVE: This study determined the vehicle-miles-traveled (VMT)-based injury rate for stand-up, dockless electric rental scooters (e-scooters), and compare it with the VMT-based injury rate for motor vehicle travel. METHODS: In this secondary analysis of existing data, the e-scooter injury rate was calculated based on e-scooter injuries presenting to an emergency department or the emergency medical services system in Austin, TX between September and November 2018. Injuries were identified by Austin Public Health through a targeted e-scooter epidemiological injury investigation; e-scooter VMT data were reported by e-scooter vendors as a condition of their city licensing. Comparative injury rates for motor vehicle travel in Texas, and specifically in Travis County were calculated using annual motor vehicle crash (MVC) injury and VMT data reported by the Texas Department of Transportation. RESULTS: There were 160 confirmed e-scooter injuries identified by the e-scooter injury investigation, with 891,121 reported miles of e-scooter travel during the study period. This produces an injury rate estimate of 180 injuries/million VMT (MVMT). The injury rates for motor vehicle travel for Texas and for Travis County were 0.9 injuries/MVMT and 1.0 injuries/MVMT, respectively. CONCLUSION: The observed VMT-based e-scooter injury rate was approximately 175 to 200 times higher than statewide or county specific injury rates for motor vehicle travel. These findings raise concerns about the potential higher injury rate associated with e-scooters, and highlight the need for further injury surveillance, research and prevention activities addressing this emerging transportation technology.

Custom injury prevention priority scoring: Local ranking procedures to assess unique community needs: Local Pediatric Injury Prevention Priority Scoring.

BACKGROUND: Trauma is the leading cause of morbidity and mortality in children. Many traumatic injuries are preventable and trauma centers play a major role in directing population-level injury prevention strategies. Given the constraint of finite resources, calculating priorities for injury prevention at an institutional level is essential. The Injury Prevention and Priority Score (IPPS) is a widely applicable tool that is more robust than simple prevalence rankings and considers injury severity - an important factor when developing prevention strategies. We developed an adapted-IPPS methodology to define our local injury prevention priorities using our institution's patient population. METHODS: The institution-specific trauma registry was used, which includes patients presenting to a level 1 pediatric trauma center July 2018 - June 2022. Causes of injury were categorized into injury mechanisms based on external cause codes. Mechanisms of injury were ranked by frequency and severity (based on mean Injury Severity Score, ISS). An IPPS was calculated for each of the injury mechanisms, which were then ranked from highest to lowest priority injury mechanism. RESULTS: In ranking injury mechanisms by IPPS, "falls" remain the top priority mechanism despite their relatively low severity, given their overwhelming frequency (n = 1993, mean ISS = 5.9). The injury mechanisms "motor vehicle" (n = 434, mean ISS = 10.9) and "pedestrian" (n = 13, mean ISS = 15), become higher priority given their injury severity, despite lower frequency. "Pedestrian" includes non-traffic incidents such as patients run over by cars in driveways or rural settings. CONCLUSIONS: Computing the IPPS for each injury mechanism, using data collected routinely for trauma registries, enables trauma centers to use local data to inform injury prevention efforts in their communities. Calculating rankings based on an injury mechanism's relative frequency and severity allows a more robust understanding of their impact. LEVEL OF EVIDENCE: IV.

Infrastructure and Injury Prevention in Cycling.

The focus of this article centers on bicycle injury prevention and related infrastructure. The article discusses the current epidemiology of cycling injuries, and known prevention strategies, specifically individual recommended practices related to helmet use in both adult and pediatric populations. The article also discusses different ways in which the environment plays a role in protecting cyclists from injuries, and what environmental changes have been adopted to reduce the likelihood for cycling injuries.

The characteristics of dockless electric rental scooter-related injuries in a large U.S. city.

OBJECTIVE: To describe the characteristics of dockless electric rental scooter ("e-scooter")-related injuries presenting to two emergency departments in one large U.S. city. METHODS: This observational cohort study utilized the city's public health syndromic surveillance system to prospectively identify patients with e-scooter-related injuries presenting between September and November 2018. The medical records for all adult patients treated at the two participating emergency departments were manually reviewed to extract demographic and clinical data. Cases involving mobility scooters or non-electric scooters were excluded. RESULTS: For the 124 included adult patients with e-scooter-related injuries, the median age was 30 years (IQR: 22-43), they were predominantly male (59.7%), and approximately half (51.6%) arrived by ambulance. Falling from the scooter (84.7%) was the most common mechanism; twelve patients (9.7%) had collided with a motor vehicle. Head and face injuries (45.5%) were common; only 2 patients (1.6%) were documented as wearing a helmet at the time of injury. Most patients (n = 112, 90.3%) required imaging, more than half (n = 78, 62.9%) required an emergency department procedure, and 26 (21.0%) required surgical intervention. Most patients were discharged home, but 35 (28.2%) were admitted to hospital. Two patients (1.6%) were admitted to the intensive care unit. CONCLUSIONS: E-scooters are an emerging transportation technology associated with a wide range of potentially serious injuries that consume substantial emergency department and hospital resources. Head injuries are a particular concern, as few e-scooter riders are wearing helmets at the time of injury.

PTSD in those who care for the injured.

BACKGROUND: Post Traumatic Stress Disorder (PTSD) has become a focus for the care of trauma victims, but the incidence of PTSD in those who care for injured patients has not been well studied. Our hypothesis was that a significant proportion of health care providers involved with trauma care are at risk of developing PTSD. METHODS: A system-wide survey was applied using a modified version of the Primary Care PTSD Screen [PC-PTSD], a validated PTSD screening tool currently being used by the VA to screen veterans for PTSD. Pre-hospital and in-hospital care providers including paramedics, nurses, trauma surgeons, emergency medicine physicians, and residents were invited to participate in the survey. The survey questionnaire was anonymously and voluntarily performed online using the Qualtrix system. Providers screened positive if they affirmatively answered any three or more of the four screening questions and negative if they answered less than three questions with a positive answer. Respondents were grouped by age, gender, region, and profession. RESULTS: 546 providers answered all of the survey questions. The screening was positive in 180 (33%) and negative in 366 (67%) of the responders. There were no differences observed in screen positivity for gender, region, or age. Pre-hospital providers were significantly more likely to screen positive for PTSD compared to the in-hospital providers (42% vs. 21%, P<0.001). Only 55% of respondents had ever received any information or education about PTSD and only 13% of respondents ever sought treatment for PTSD. CONCLUSION: The results of this survey are alarming, with high proportions of healthcare workers at risk for PTSD across all professional groups. PTSD is a vastly underreported entity in those who care for the injured and could potentially represent a major problem for both pre-hospital and in-hospital providers. A larger, national study is warranted to verify these regional results.

A Comprehensive Investigation of Comorbidities, Mechanisms, Injury Patterns, and Outcomes in Geriatric Blunt Trauma Patients.

The geriatric population is growing and trauma providers are often tasked with caring for injuries in the elderly. There is limited information regarding injury patterns in geriatric trauma patients stratified by mechanism of injury. This study intends to investigate the comorbidities, mechanisms, injury patterns, and outcomes in geriatric blunt trauma patients. A retrospective study of the 2012 National Trauma Databank was performed. Adult blunt trauma patients were identified; geriatric (>/=65) patients were compared with younger (<65) patients regarding admission demographics and vital signs, mechanism and severity of injury, and comorbidities. The primary outcome was injuries sustained and secondary outcomes included mortality, length of stay in the intensive care unit and hospital, and ventilator days. There were 589,830 blunt trauma patients who met the inclusion criteria, including 183,209 (31%) geriatric and 406,621 (69%) nongeriatric patients. Falls were more common in geriatric patients (79 vs 29%, P < 0.0001). Geriatric patients less often had an Injury Severity Score >/=16 (18 vs 20%, P < 0.0001) but more often a head Abbreviated Injury Scale >/=3 (24 vs 18%, P < 0.0001) and lower extremity Abbreviated Injury Scale >/=3 (24% vs 8%, P < 0.0001). After logistic regression older age was an independent risk factor for mortality for the overall population and across all mechanisms. Falls are the most common mechanism for geriatric trauma patients. Geriatric patients overall present with a lower Injury Severity Score, but more often sustain severe injuries to the head and lower extremities. Injury patterns vary significantly between older and younger patients when stratified by mechanism. Mortality is significantly higher for geriatric trauma patients and older age is independently associated with mortality across all mechanisms.