Can J Emerg Med
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Conferences are designed for knowledge translation, but traditional conference evaluations are inadequate. We lack studies that explore alternative metrics to traditional evaluation metrics. We sought to determine how traditional evaluation metrics and Twitter metrics performed using data from a conference of the Canadian Association of Emergency Physicians (CAEP). ⋯ We found no correlation between traditional evaluation metrics and Twitter metrics. However, in many sessions with and without traditional evaluation metrics, audience created real-time tweets to disseminate knowledge. Future conference organizers could use Twitter metrics as a complement to traditional evaluation metrics to evaluate knowledge translation and dissemination.
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Emergency department (ED) patients with atrial fibrillation or flutter (AFF) with underlying occult condition such as sepsis or heart failure, and who are managed with rate or rhythm control, have poor prognoses. Such conditions may not be easy to identify early in the ED evaluation when critical treatment decisions are made. We sought to develop a simple decision aid to quickly identify undifferentiated ED AFF patients who are at high risk of acute underlying illness. ⋯ In ED patients with undifferentiated AFF, this simple predictive model rapidly differentiates patients at risk of acute underlying illness, who will likely merit investigations before AFF-specific therapy.