1692 A multi-centre prospective observational study to evaluate healthcare impacts of e-scooters on emergency departments. Issue 12 (22nd November 2022)

• Record Type: Journal Article
• Authors: Roberts, Tom
• Is Part Of: Emergency medicine journal. Volume 39:Issue 12(2022)
• Page Start: A965
• Page End: A965
• Publication Date: 2022-11-22
• Subjects: Emergency medicine -- Periodicals; 616.02505
• DOI: 10.1136/emermed-2022-RCEM2.5
• Languages: English
• ISSNs: 1472-0205

Abstract

Abstract : Aims, Objectives and Background: This study aims to report the prevalence of E-scooter related injuries, delineate the impact of rental schemes on Emergency Departments (ED) and report associated ED resource use and cost. E-scooters have risen in popularity since the expansion of rental schemes and there is rising concern over the healthcare impact of faster illegal private E-scooters. Current literature is limited on the healthcare related impact of E-scooters by retrospective design and focus on specific injury patterns (e.g. orthopaedic or maxillofacial). This study presents prospective data on E-scooter related injury presenting to the ED, comparing sites with and without rental schemes. Method and Design: A prospective observational study for four weeks of recruitment across twenty EDs across the United Kingdom (12 with rental schemes and 8 without). All patients presenting to ED with an E-scooter associated injury were identified. A prospective observational design was chosen to more accurately collect data on E-scooter injury patterns and behaviours. Sites with and without rental schemes were chosen to compare the impact of rental schemes. Results and Conclusion: E-scooter related injury was found in 250 ED patients. Fractures were diagnosed in 30.4% of patients and 19.4% sustained a head injury (4.2% classified as severe traumatic brain injury). Only 6.4% of riders were helmeted and 19.8% were intoxicated with alcohol. Mean unadjusted ED costs per patient were £297.31. The mean Injury Severity Score (ISS) was 2.8 in rental E-scooter incidents and 3.0 in private E-scooter incidents. From multiple linear regression modelling, helmet use, alcohol use and private or rental E-scooters were not predictive of ISS. In conclusion, E-scooter riders are vulnerable to injuries of varying severity. Low rates of helmet use and high prevalence of alcohol intoxication suggest a need for targeted public health interventions, but improved data collection is required. Health service costs should be considered when reviewing the suitability of rental schemes.