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Journal Article

Citation

Farley KX, Aizpuru M, Wilson JM, Daly CA, Xerogeanes J, Gottschalk MB, Wagner ER. JAMA Netw. Open 2020; 3(8): e2014500.

Copyright

(Copyright © 2020, American Medical Association)

DOI

10.1001/jamanetworkopen.2020.14500

PMID

32865571

Abstract

Introduction

In late 2017, scooter-share companies began distributing electric scooters (e-scooters) in major cities, leading to an increase in their use.1-3 Data from the 2019 United States Consumer Product Safety Commission's National Electronic Injury Surveillance System (NEISS) have recently become available, allowing continued analysis of nationwide trends in e-scooter injuries since the widespread expansion of scooter-share services. The purpose of this cross-sectional study was to assess the incidence of and trends among e-scooter injuries in the US from 2014 to 2019.

Methods

This cross-sectional study used data from the NEISS, a statistically valid surveillance system designed to collect data on patients seen in emergency departments (EDs) with injuries related to consumer products by creating a probability sample from approximately 100 hospitals in the US. The NEISS has previously been used to examine e-scooter injuries.1,2 It was queried for cases with product code 5042 (scooters/skateboards, powered) and identified 5171 unweighted cases. Electric-scooter injuries were then isolated from the sample through a search with inclusion of the term scooter and exclusion of the terms hover, board, skate, wheelchair, motorbike, and motorcycle, leaving 1823 cases available for analysis. The Emory University institutional review board waived the requirement for review because the study did not meet the definition of human subjects research. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.

Weighted estimates and 95% CIs were created within the complex samples function of SPSS Statistics, version 26.0 (IBM). Data from the US Census Bureau were used to create weighted incidences per 100 000 population. To evaluate trends from 2014 to 2019, regression with a log function was used while accounting for the standard error of the estimates. The significance level was set at P < .05 using a 2-sided test.

Results

There were an estimated 70 644 (95% CI, 53 838-87 448) ED visits for e-scooter-related injuries from 2014 to 2019. The mean (SD) age of those injured was 31.3 (21.24) years (95% CI, 29.4-33.2 years), and 63.9% were men. The estimated number of ED visits for e-scooter injuries increased from 4881 (95% CI, 4086-5676) in 2014 to 29 628 (95% CI, 14 919-44 338) in 2019, with an increase from 8269 visits (95% CI, 5409-11 130 visits) in 2017 to 15 522 visits (95% CI, 8280-22 763 visits) in 2018. The population-adjusted incidence increased from 1.53 per 100 000 capita (95% CI, 1.28-1.78 per 100 000 capita) in 2014 to 9.22 per 100 000 capita (95% CI, 4.64-13.79 per 100 000 capita) in 2019 (Figure). Incident ED visits for e-scooter-related injuries increased most substantially among individuals aged 15 to 24 years and 25 to 39 years (Figure, Table).

The head was the most common site of injury (27.1% of all injuries). Approximately 50% of head injuries included diagnoses that suggested a traumatic brain injury (a head injury with a concomitant diagnosis of a concussion, internal organ injury, fracture, anoxia, or hemorrhage), constituting 14.5% of the total injury pool. Of patients presenting with a potential traumatic brain injury, 17.4% were admitted to the hospital compared with


Language: en

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