11 research outputs found

    The Field’s mass shooting: emergency medical services response

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    Abstract Background Major incidents (MI) happen infrequently in Scandinavia and mass shootings are even less frequently occurring. Case reports and research are called for, as literature is scarce. On 3rd July 2022, a mass shooting took place at the shopping mall Field’s in Copenhagen, Denmark. Three people were killed and seven injured by a gunman, firing a rifle inside the mall. A further 21 people suffered minor injuries during the evacuation of the mall. In this case report, we describe the emergency medical services (EMS) incident response and evaluate the EMS´ adherence to the MI management guidelines to identify possible areas of improvement. Case presentation Forty-eight EMS units including five Tactical Emergency Medical Service teams were dispatched to the incident. Four critically injured patients were taken to two trauma hospitals. The deceased patients were declared dead at the scene and remained there for the sake of the investigation. A total of 24 patients with less severe and minor injuries were treated at four different hospitals in connection with the attack. The ambulance resources were inherently limited in the initial phase of the MI, mandating improvisation in medical incident command. Though challenged, Command and Control, Safety, Communication, Assessment, Triage, Treatment, Transport (CSCATTT) principles were followed. Conclusions The EMS response generally adhered to national guidelines for MI. The activation of EMS and the hospital preparedness program was relevant. Important findings were communication shortcomings; inherent lack of readily available ambulance resources in the initial critical phase; uncertainty regarding the number of perpetrators; uncertainty regarding number of casualties and social media rumors that unnecessarily hampered and prolonged the response. The incident command had to use non-standard measures to mitigate potential challenges

    The Danish quality database for prehospital emergency medical services

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    AIM OF DATABASE: The aim of the Danish quality database for prehospital emergency medical services (QEMS) is to assess, monitor, and improve the quality of prehospital emergency medical service care in the entire prehospital patient pathway. The aim of this review is to describe the design and the implementation of QEMS. STUDY POPULATION: The study population consists of all “112 patient contacts” defined as emergency patients, where the entrance to health care is a 112 call forwarded to one of the five regional emergency medical coordination centers in Denmark since January 1, 2014. Estimated annual number of included “112 patients” is 300,000–350,000. MAIN VARIABLES: We defined nine quality indicators and the following variables: time stamps for emergency calls received at one of the five regional emergency medical coordination centers, dispatch of prehospital unit(s), arrival of first prehospital unit, arrival of first supplemental prehospital unit, and mission completion. Finally, professional level and type of the prehospital resource dispatched to an incident and end-of-mission status (mission completed by phone, on scene, or admission to hospital) are registered. DESCRIPTIVE DATA: Descriptive data included age, region, and Danish Index for Emergency Care including urgency level. CONCLUSION: QEMS is a new database under establishment and is expected to provide the basis for quality improvement in the prehospital setting and in the entire patient care pathway, for example, by providing prehospital data for research and other quality databases

    Helicopter emergency medical services missions to islands and the mainland during a 3-year period in Denmark:a population-based study on patient and sociodemographic characteristics, comorbidity, and use of healthcare services

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    BACKGROUND: The Danish Helicopter Emergency Medical Services (HEMS) is part of the Danish Emergency Medical Services System serving 5.7 million citizens with 1% living on islands not connected to the mainland by road. HEMS is dispatched based on pre-defined criteria including severity and urgency, and moreover to islands for less urgent cases, when rapid transport to further care is needed. The study aim was to characterize patient and sociodemographic factors, comorbidity and use of healthcare services for patients with HEMS missions to islands versus mainland. METHODS: Descriptive study of data from the HEMS database in a three-year period from 1 October 2014 to 30 September 2017. All missions in which a patient was either treated on scene or transported by HEMS were included. RESULTS: Of 5776 included HEMS missions, 1023 (17.7%) were island missions. In total, 90.2% of island missions resulted in patient transport by HEMS compared with 62.1% of missions to the mainland. Disease severity was serious or life-threatening in 34.7% of missions to islands compared with 65.1% of missions to mainland and less interventions were performed by HEMS on island missions. The disease pattern differed with more “Other diseases” registered on islands compared with the mainland where cardiovascular diseases and trauma were the leading causes of contact. Patients from islands were older than patients from the mainland. Sociodemographic characteristics varied between inhabiting island patients and mainland patients: more island patients lived alone, less were employed, more were retired, and more had low income. In addition, residing island patients had to a higher extend severe comorbidity and more contacts to general practitioners and hospitals compared with the mainland patients. CONCLUSIONS: HEMS missions to islands count for 17.7% of HEMS missions and 90.2% of island missions result in patient transport. The island patients encountered by HEMS are less severely diseased or injured and interventions are less frequently performed. Residing island patients are older than mainland patients and have lower socioeconomic position, more comorbidities and a higher use of health care services. Whether these socio-economic differences result in longer hospital stay or higher mortality is still to be investigated. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13049-021-00963-6
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