Objectives: To investigate electric scooter (e-scooter)-associated radiological injury incidence and distribution of injuries.

Methods: Retrospective cross-sectional study of radiological examinations related to e-scooter injuries at a major trauma centre in a small university city. The hospital radiology information system was searched for terms related to e-scooters between January 1, 2015, and October 31, 2022. E-scooter use was confirmed by review of the patients' electronic medical records. Specific injuries were divided based on site of injury using the Injury Severity Scale categorized groups.

Results: A total of 568 radiological studies related to e-scooter injuries were identified on 340 distinct patients (56% male, with an average age of 28 years). Peak incidence of e-scooter-related injuries was seen in the summer months, after a local scooter sharing system was introduced in October 2020. A total of 149 patients had radiologically diagnosed injuries, with extremity injuries being most frequent (80%). Facial (8%), head/neck (8%), and thorax/abdomen (4%) were less common. Radial head fractures were the most common injury (n = 27). Thirteen patients had multiple sites of injury, four of which had both upper limb and facial bone fractures described.

Conclusions: We report a significant increase in radiological investigations and injuries in the context of e-scooter injuries, particularly since the introduction of an e-scooter sharing scheme. This study informs radiologists on common locations of injuries when reporting studies of patients that have had e-scooter-related injuries.

Advances In Knowledge: This is the first UK-based study providing a comprehensive radiological perspective of the impact of e-scooter use and associated distribution of injuries, adding important data for many cities that are currently undertaking review of their e-scooter sharing schemes.

Download full-text PDF

Source
http://dx.doi.org/10.1093/bjr/tqad057DOI Listing

Publication Analysis

Top Keywords

e-scooter injuries
12
injuries
11
incidence distribution
8
distribution injuries
8
e-scooter
8
radiological perspective
8
e-scooter sharing
8
radiological
6
injury
5
injuries associated
4

Similar Publications

Background: The increasing adoption of individual urban mobility in European cities is contributing to a rise in the number of bicycle and e-scooter users. Consequently, a corresponding increase in accidents, along with an additional burden on emergency departments, is anticipated, particularly in metropolitan areas. The objective of this prospective cross-sectional study was to gather detailed information regarding the patient demographics, accident mechanisms, and injury patterns of e-scooter riders in comparison to cyclists.

View Article and Find Full Text PDF

Background: Shared micromobility programs (SMPs) are integral to urban transport in US cities, providing sustainable transit options. Increased use has raised safety concerns, notably about helmet usage among e-scooter and e-bicycle riders. Prior studies have shown that head and upper extremity injuries have risen with SMP adoption, yet data on helmet use remains sparse.

View Article and Find Full Text PDF

The popularity of eco-friendly electric scooters has led to a rise in significant injuries, especially in adolescents. Teens riding e-scooters are more prone to severe traffic accidents and head injuries compared to those using traditional scooters. Risk-taking behaviors, susceptibility to peer influence, limited road safety experience and a lack of protective headgear exacerbate the risks.

View Article and Find Full Text PDF

Background: The use of electric-powered scooters and bikes (e-scooters/bikes) is rising, but little is known about associated injuries and substance use. This study analysed the trends and factors associated with e-scooter/bike-related injuries and alcohol/substance use emergency department (ED) visits from 2019 to 2022.

Methods: A retrospective analysis of US ED visit data from the 2019-2022 National Electronic Injury Surveillance System (NEISS) identified visits for e-scooter/bike-related injuries.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!