Non-invasive ventilation in emergency departments in public hospitals in Catalonia. The VENUR-CAT study

Effects on short term outcome of non-invasive ventilation use in the emergency department to treat patients with acute heart failure: A propensity score-based analysis of the EAHFE Registry

“…The challenges of interpreting non-ED data applied to the ED population may increase the risk of misapplication. The reasons for this may be the result of greater variation in the population, a higher likelihood of misdiagnosis, a larger range in illness severity, and that NIV may be started in the ED (and even by prehospital emergency medical systems -EMS-) and are often removed in the ED itself due to the fact that NIV can improve AHF patient's clinical status in a few hours [6][7][8]. Moreover, the inclusion and exclusion criteria that a RCT imposes on the final sample of patients selected for analysis excludes a large portion of patients, often surpassing 80% [8].…”

“…The reasons for this may be the result of greater variation in the population, a higher likelihood of misdiagnosis, a larger range in illness severity, and that NIV may be started in the ED (and even by prehospital emergency medical systems -EMS-) and are often removed in the ED itself due to the fact that NIV can improve AHF patient's clinical status in a few hours [6][7][8]. Moreover, the inclusion and exclusion criteria that a RCT imposes on the final sample of patients selected for analysis excludes a large portion of patients, often surpassing 80% [8]. Therefore, although there is no doubt that for patients able to tolerate NIV the improvement of symptoms is greater and faster, the effects of NIV on short-term mortality are still controversial when it is used in the ED setting in real world conditions.…”

Analysis of the use of point-of-care ultrasonography in Emergency Departments in public hospitals in Catalonia. ECURCAT Study

“…UU.). Siguiendo la dinámica de estudios anteriores [13][14][15] Los resultados de las variables cualitativas se resumieron en valores absolutos y porcentajes, y las cuantitativas en media y desviación estándar para las distribuciones normales (lo cual se comprobó con el test de Kolmogorov-Smirnov) o en medianas y percentiles 25 y 75 para las distribuciones no normales. Para la comparación entre grupos se utilizó el test de ji cuadrado (o el test exacto de Fisher, en las tablas 2×2, cuando los efectivos esperados eran inferiores a 5) para las variables cualitativas y el análisis de la varianza de una vía (o el test de Kruskal-Wallis si se vulneraba la normalidad de la distribución) para la variables cuantitativas.…”

Workplace violence among workmates: What we do and the way we are

“…We would like to dig a little deeper into this kind of violence. The Catalan Society of Emergency Medicine regularly investigates relevant aspects related to emergency medicine practice in Catalonia (Spain) by surveying its affiliates ( n = 1756) [6,7]. The most recent questionnaire asked about violence in the workplace, including violence by fellow workmates.…”