Literature DB >> 33609855

Injury incidence and patterns associated with electric scooter accidents in a major metropolitan city.

Mohsin Mukhtar1, Aiza Ashraf2, Mark S Frank3, Scott D Steenburg4.   

Abstract

PURPOSE: Despite increased use of e-scooters globally, actionable data around injury incidence and patterns associated with e-scooter accidents are limited. This study aimed to determine the prevalence of imaging exams, injury incidence, and patterns related to e-scooter injuries, with the hope of guiding an appropriate policy response.
METHODS: This was a retrospective observational study of imaging exams ordered for injuries related to e-scooters seen in an Emergency Department (ED) setting within our health system from September 2018 through December 2019. Our institutional Radiology Information System (RIS) was searched for the presence of the word "scooter." Manual query of search results was conducted in the electronic medical record (EMR) and only studies confirmed to be related to e-scooters were included.
RESULTS: A total of 477 radiologic studies performed on 192 unique patients were confirmed to be performed for injuries related to e-scooters. The median patient age was 28 years and 58.3% were male. One hundred forty patients (72.9%) had injuries identified on imaging, with an overall exam positivity rate of 44.4%. The most common injuries were soft tissue and musculoskeletal in nature. Over half (51.9%) of the entries with the keyword "scooter" were excluded because of lack of EMR specificity regarding scooter type.
CONCLUSION: While this study showed that injuries following e-scooter accidents are common and frequently involve the face and extremities, it is limited by lack of documentation in the EMR. Further research with a standardized documentation protocol will be needed to better understand injuries patterns following e-scooter accidents.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bird; E-scooter; Fall; Lime; Motorized scooter; Trauma

Year:  2021        PMID: 33609855     DOI: 10.1016/j.clinimag.2021.02.005

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  5 in total

Review 1.  Imaging features of electric scooter trauma: what an emergency radiologist needs to know.

Authors:  Edoardo Leone; Riccardo Ferrari; Margherita Trinci; Emiliano Cingolani; Michele Galluzzo
Journal:  Radiol Med       Date:  2022-06-27       Impact factor: 6.313

2.  Micromobility Users' Behaviour and Perceived Risk during Meeting Manoeuvres.

Authors:  Alejandra Sofía Fonseca-Cabrera; David Llopis-Castelló; Ana María Pérez-Zuriaga; Carlos Alonso-Troyano; Alfredo García
Journal:  Int J Environ Res Public Health       Date:  2021-11-26       Impact factor: 3.390

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

Authors:  Kimon L H Ioannides; Pin-Chieh Wang; Kamran Kowsari; Vu Vu; Noah Kojima; Dayna Clayton; Charles Liu; Tarak K Trivedi; David L Schriger; Joann G Elmore
Journal:  PLoS One       Date:  2022-04-06       Impact factor: 3.240

4.  Risk assessment, consequences, and epidemiology of electric scooter accidents admitted to an emergency department: a prospective observational study.

Authors:  Eyal Gan-El; William Ngatchou Djomo; Andreea Monica Pascu Ciobanu; Leonard Kaufman; Francis Ndé Djiélé; Maarten Ulrix; Bernard Kreps; Alain Plumacker; Stefano Malinverni; Magali Bartiaux; Pierre Youatou Towo
Journal:  Eur J Trauma Emerg Surg       Date:  2022-06-21       Impact factor: 2.374

5.  Trends in the Incidence and Severity of Injuries Sustained by Riders of Electric Bikes and Powered Scooters: A Retrospective Cross-Sectional Study.

Authors:  Bahaa Haj Yahya; Helena Demetriou; Adi Zelnik; Nir Cohen; Michael J Drescher; Gavriel Chaushu; Yafit Hamzani
Journal:  Medicina (Kaunas)       Date:  2022-07-14       Impact factor: 2.948

  5 in total

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