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    Research Letter
    January 8, 2020

    Electric Scooter Injuries and Hospital Admissions in the United States, 2014-2018

    Author Affiliations
    • 1Department of Urology, University of California, San Francisco
    • 2Department of Epidemiology and Biostatistics, University of California, San Francisco
    JAMA Surg. Published online January 8, 2020. doi:10.1001/jamasurg.2019.5423

    Electric scooters (e-scooters) are a novel, rapid, and convenient mode of transportation with increasing accessibility across the United States.1 E-scooter use may decrease traffic congestion and increase public transit use.2 Expansion of e-scooters in dense, high-traffic urban areas will affect rider injury in unknown ways and lead to new policies already implemented by some major cities.3 With the influx of e-scooter availability in urban areas, particularly in the past year,3 we sought to investigate trends of injury and hospital admission.

    The National Electronic Injury Surveillance System (NEISS) provides national estimates of injuries that present to emergency departments across the United States (https://www.cpsc.gov/Research--Statistics/NEISS-Injury-Data). We queried NEISS for injuries related to powered scooters (code 5042) from 2014 to 2018, with keyword scooter in the description (n = 1037). We excluded non–e-scooter injuries (n = 49). We used NEISS complex sampling design to obtain US population projections of injuries and hospital admissions. Population estimates from the US Census Bureau (https://www.census.gov/programs-surveys/popest/data/data-sets.html) were used for the direct method of age adjustment. The data source was public, deidentified, and was exempt from the University of California, San Francisco, institutional review board approval. Owing to the use of deidentified data, patient consent was not obtained. We applied linear regression to determine trends of injuries and admissions. We used Stata, version 15 (StataCorp); 2-sided P values less than .05 were considered significant.