Analysis of article using Artificial Intelligence tools
|Author||Spaepen K.; Cardinas R.; Haenen W.A.P.; Kaufman L.; Hubloue I.|
|Title||The Impact of In-Event Health Services at Europe’s Largest Electronic Dance Music Festival on Ems and Ed in the Host Community|
Spaepen K.; Cardinas R.; Haenen W.A.P.; Kaufman L.; Hubloue I. The Impact of In-Event Health Services at Europe’s Largest Electronic Dance Music Festival on Ems and Ed in the Host Community,International Journal of Environmental Research and Public Health 20 4
|Keywords||Dancing; Emergency Medical Services; Emergency Service, Hospital; Europe; Holidays; Humans; Music; Antwerp Belgium ; Belgium; Boom; festival; health services; hospital sector; medicine; adult; ambulance; article; Belgium; controlled study; dancing; emergency ward; Europe; female; first aid; hospital charge; human; major clinical study; male; mass gathering medicine; mitigation; music; predictive model; emergency health service; Europe; hospital emergency service; leisure
|Link to article|| https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148965883&doi=10.3390%2fijerph20043207&partnerID=40&md5=3bd573b9d7b13aa9bcf8d68a9522ea52
|Abstract||Background: Electronic dance music festivals (EDMF) can cause a significant disruption in the standard operational capacity of emergency medical services (EMS) and hospitals. We determined whether or not the presence of in-event health services (IEHS) can reduce the impact of Europe’s largest EDMF on the host community EMS and local emergency departments (EDs). Methods: We conducted a pre-post analysis of the impact of Europe’s largest EDMF in July 2019, in Boom, Belgium, on the host community EMS and local EDs. Statistical analysis included descriptive statistics, independent t-tests, and χ2 analysis. Results: Of 400,000 attendees, 12,451 presented to IEHS. Most patients only required in-event first aid, but 120 patients had a potentially life-threatening condition. One hundred fifty-two patients needed to be transported by IEHS to nearby hospitals, resulting in a transport-to-hospital rate of 0.38/1000 attendees. Eighteen patients remained admitted to the hospital for >24 h; one died after arrival in the ED. IEHS limited the overall impact of the MGE on regular EMS and nearby hospitals. No predictive model proved optimal when proposing the optimal number and level of IEHS members. Conclusions: This study shows that IEHS at this event limited ambulance usage and mitigated the event’s impact on regular emergency medical and health services. © 2023 by the authors.