Cohort, cross sectional, and case-control studies are collectively referred to as observational studies. Often these studies are the only practicable method of studying various problems, for example, ...

Introduction Emergency department (ED) crowding has significant adverse consequences, however, there is no widely accepted tool to measure it. This study validated the National Emergency Department ...

Objective This study determined the impact of the caller’s emotional state and cooperation on out-of-hospital cardiac arrest (OHCA) recognition and dispatcher-assisted cardiopulmonary resuscitation ...

Falls occur increasingly frequently with age. 35% of people aged over 65 fall each year rising to 50% at age 85. Many patients fall repeatedly. 56% of patients attending an emergency department were ...

Correspondence to Professor Tom Solomon, University of Liverpool Brain Infections Group, 8th Floor Duncan Building, Daulby Street, Liverpool L69 3GA, UK; tsolomon{at}liv.ac.uk Introduction Bacterial ...

Methods We conducted a retrospective observational study using media reports and coroner verification to identify and characterise nightclub-related deaths in the UK between 2009 and 2024.

Background Understanding patient experiences is crucial to evaluating care quality in EDs. However, while previous reviews describe the determinants of ED patient experiences (ie, factors that ...

Background Early intervention in patients with major traumatic injuries is critical. Decision support can improve clinicians’ ability to identify high-risk patients. The aim of this study was to ...

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1 Department of Trauma and Orthopaedics, Southern General Hospital, Glasgow, UK 2 Department of Trauma and Orthopaedics, Bronglais General Hospital, Aberystwyth, UK Correspondence to: Mr H Sharma ...

Background The priorities for UK emergency medicine research were defined in 2017 by a priority setting partnership coordinated by the Royal College of Emergency Medicine in collaboration with the ...

Background Artificial intelligence (AI)-assisted image interpretation is a fast-developing area of clinical innovation. Most research to date has focused on the performance of AI-assisted algorithms ...