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

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

Clin Imaging

Department of Radiology and Imaging Sciences, Indiana University School of Medicine, 550 N. University Blvd., Room 0663, Indianapolis, IN 46202, USA. Electronic address:

Published: June 2021

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.

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Source
http://dx.doi.org/10.1016/j.clinimag.2021.02.005DOI Listing

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