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BMC Emergency Medicine|August 7, 2024
Validation of a checklist to facilitate serious illness conversations in adult emergency in China: a single-centre pilot studyHongxia Ge, Shu Li, Qingbian Ma
BMC Emergency Medicine|July 17, 2024
Epidemiology of maxillofacial trauma in elderly patients receiving oral anticoagulant or antithrombotic medication; a Swiss retrospective studyDavid Bettschen, Dimitra Tsichlaki, Eleftherios Chatzimichail, et al.
BMC Emergency Medicine|July 29, 2024
Identifying the key characteristics, trends, and seasonality of pedestrian traffic injury at a major trauma center in Saudi Arabia: a registry-based retrospective cohort study, 2017-2022Rayan Jafnan Alharbi, Abdulrhman Saleh Alghamdi, Rami Al-Jafar, et al.
BMC Emergency Medicine|July 29, 2024
Emergency preparedness in the central sterile supply department: a multicenter cross-sectional surveyJiawei Liu, Fengliu Gui, Mengmeng Zhang, et al.
BMC Emergency Medicine|July 29, 2024
Emergency department utilization before and during the COVID-19 pandemic among individuals with sickle cell diseaseBrandon K Attell, Allison P Plaxco, Mei Zhou, et al.
BMC Emergency Medicine|July 9, 2024
Improving the non-structural preparedness of the selected hospital based on the FOCUS-PDCA1 model: action researchAlireza Basiri, Mohsen Abbasi Farajzadeh, Mohammad Belal, et al.
BMC Emergency Medicine|July 3, 2024
Ambulance professionals' experiences of teamwork in the context of a team training programme - a qualitative studyKjetil Myhr, Randi Ballangrud, Karina Aase, et al.
BMC Emergency Medicine|August 28, 2024
Negotiating grey areas: an interview-based analysis of paramedic uncertainty and decision-making in cardiac arrest eventsGalina Gardiner, Karin Eli, Caroline J Huxley, et al.
BMC Emergency Medicine|June 20, 2024
Development and validation of a community acquired sepsis-worsening score in the adult emergency department: a prospective cohort: the CASC scoreFrançois Saget, Adel Maamar, Maxime Esvan, et al.
BMC Emergency Medicine|June 17, 2024
Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for cliniciansHilmi Yazici, Onur Ugurlu, Yesim Aygul, et al.
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