Characteristics of injuries according to types of personal mobility devices in a multicenter emergency department from 2011 to 2017: A cross-sectional study

Injury Patterns of Electric-Scooter Related Trauma: A Systematic Review With Proportion Meta-Analysis

Electric scooter (ES)-related injuries are increasing but poorly described. Clinicians need more information to be prepared for these patients. We supposed two prevalent patterns of patients: mildly injured (predominant upper-limb injuries) and severely injured (predominant head trauma). This study aims to understand the frequency of ES-related injuries and patients' characteristics despite the heterogeneity of data currently available. A systematic review with a proportion meta-analysis was conducted on studies with a multidisciplinary description of ES-related injuries in adult patients (PROSPERO-ID: CRD42022341241). Articles from inception to April 2023 were identified in MEDLINE, Embase, and Cochrane's databases. The risk of bias was evaluated using ROBINS-I. Twenty-five observational studies with 5387 patients were included in the meta-analysis, depending on reported data. Upper-limb (31.8%) and head (19.5%) injuries are the most frequent (25/25 studies included). When injured while riding, 19.5% of patients are intoxicated with drugs/alcohol, and only 3.9% use a helmet, increasing the possibility of severe injuries. About 80% of patients are victims of spontaneous falls. Half of the patients self-present to the ED, and 69.4% of cases are discharged directly from the ED. Studies' limitations include an overall moderate risk of bias and high heterogeneity. Electric scooter-related accidents are commonly associated with upper-limb injuries but often involve the head. Spontaneous falls are the most common mechanism of injury, probably related to frequent substance abuse and helmet misuse. This hot topic is not adequately investigated due to a lack of data. A prospective registry could fill this gap.

E-scooter related injuries: Using natural language processing to rapidly search 36 million medical notes

Background

Shareable e-scooters have become popular, but injuries to riders and bystanders have not been well characterized. The goal of this study was to describe e-scooter injuries and estimate the rate of injury per e-scooter trip.

Methods and findings

Retrospective review of patients presenting to 180 clinics and 2 hospitals in greater Los Angeles between January 1, 2014 and May 14, 2020. Injuries were identified using a natural language processing (NLP) algorithm not previously used to identify injuries, tallied, and described along with required healthcare resources. We combine these tallies with municipal data on scooter use to report a monthly utilization-corrected rate of e-scooter injuries. We searched 36 million clinical notes. Our NLP algorithm correctly classified 92% of notes in the testing set compared with the gold standard of investigator review. In total, we identified 1,354 people injured by e-scooters; 30% were seen in more than one clinical setting (e.g., emergency department and a follow-up outpatient visit), 29% required advanced imaging, 6% required inpatient admission, and 2 died. We estimate 115 injuries per million e-scooter trips were treated in our health system.

Conclusions

Our observed e-scooter injury rate is likely an underestimate, but is similar to that previously reported for motorcycles. However, the comparative severity of injuries is unknown. Our methodology may prove useful to study other clinical conditions not identifiable by existing diagnostic systems.

Neurosurgical trauma from E-Scooter usage: a review of early case series in London and a review of the literature

BACKGROUND

Electric (E-)scooters have become increasingly popular as a means of environmentally friendly and convenient urban transport since 2017. Private use and now ride-sharing schemes are seen in major cities across the world. However, safety data are still lacking especially with concerning reports of significant head injuries. We describe early case series from three hospitals, including a major trauma centre, in East London and review the literature describing neurosurgical trauma from E-scooter usage.

METHODS

Electronic health records were retrospectively searched for terms related to E-Scooters between 2018 and 2021. Eight case series were included and described. A literature search of PubMed, Ovid MEDLINE and Embase for terms 'E-scooter or electric scooter' was also conducted from inception to 6 March 2021. A total of 825 articles were initially reviewed. Following the removal of duplicates and those meeting the exclusion criteria, 29 articles were analysed in full and included in this review.

RESULTS

All cases described a head injury of some nature with over half suffering more severe injuries including cranial fractures (most commonly basal skull) or intracerebral haemorrhages (ICH). Spinal fractures were also seen. All required imaging and admission to the hospital. Only a minority required inpatient neurosurgical intervention above conservative measures but almost all required outpatient follow-up. On review of the literature, head injuries were present in 38.8% of all presentations. The majority of which were minor head injuries or concussions; however, approximately 15% involved ICH or skull fractures, respectively. Spinal injuries were less common. Riding while intoxicated and without a helmet was frequently seen within the literature.

CONCLUSION

This work offers a foundational text highlighting the frequency and severity of neurotrauma seen with E-scooter usage. Injury is seen in E-scooter riders, passengers and pedestrians alike with dangerous riding behaviours likely contributory. A neurosurgical-specific inquiry is recommended for future research.