Pearls for Caring for the Boarding Psychiatric Patient in the Emergency Department.

BACKGROUND: Emergency department (ED) boarding of psychiatric patients is a national issue that continues to worsen at a disturbing rate. Implementing strategies in the ED to provide continuous care for patients can help secure patient safety. OBJECTIVE: The objective of this review is to discuss the boarding of psychiatric patients and its implications. It will focus on executing best clinical practices in managing boarding psychiatric patients in the ED. It will not focus on the treatment of substance use disorders. DISCUSSION: This article will address the pearls for management plans that can be implemented in the ED, alongside discussing pregnant and elderly patients. Risk factors, complications, and treatments for boarding psychiatric patients are discussed. CONCLUSIONS: Patients with psychiatric disorders boarding in the ED need careful consideration of management plans to mitigate patient safety events.

Smartphone Use in the Management of Neurological Emergencies: A Simulation-Based Study.

BACKGROUND: Smartphone use in medicine is nearly universal despite a dearth of research assessing utility in clinical performance. We sought to identify and define smartphone use during simulated neuroemergencies. METHODS: In this retrospective review of a prospective observational single-center simulation-based study, participants ranging from subinterns to attending physicians and stratified by training level (novice, intermediate, and advanced) managed a variety of neurological emergencies. The primary outcome was frequency and purpose of smartphone use. Secondary outcomes included success rate of smartphone use and performance (measured by completion of critical tasks) of participants who used smartphones versus those who did not. In subgroup analyses we compared outcomes across participants by level of training using t-tests and χ2 statistics. RESULTS: One hundred and three participants completed 245 simulation scenarios. Smartphones were used in 109 (45%) simulations. Of participants using smartphones, 102 participants looked up medication doses, 52 participants looked up management guidelines, 11 participants looked up hospital protocols, and 13 participants used smartphones for assistance with an examination scale. Participants found the correct answer 73% of the time using smartphones. There was an association between participant level and smartphone use with intermediate participants being more likely to use their smartphones than novice or advanced participants, 53% versus 29% and 26%, respectively (p < 0.05). Of the intermediate participants, those who used smartphones did not perform better during the simulation scenario than participants who did not use smartphones (smartphone users' mean score [standard deviation] = 12.3 [2.9] vs. nonsmartphone users' mean score [standard deviation] = 12.9 (2.7), p = 0.85). CONCLUSIONS: Participants commonly used smartphones in simulated neuroemergencies but use didn't confer improved clinical performance. Less experienced participants were the most likely to use smartphones and less likely to arrive at correct conclusions, and thus are the most likely to benefit from an evidence-based smartphone application for neuroemergencies.

Simulation-based assessment of trainee's performance in post-cardiac arrest resuscitation.

Objectives: To assess trainees' performance in managing a patient with post-cardiac arrest complicated by status epilepticus. Methods: In this prospective, observational, single-center simulation-based study, trainees ranging from sub interns to critical care fellows evaluated and managed a post cardiac arrest patient, complicated by status epilepticus. Critical action items were developed by a modified Delphi approach based on American Heart Association guidelines and the Neurocritical Care Society's Emergency Neurological Life Support protocols. The primary outcome measure was the critical action item sum score. We sought validity evidence to support our findings by including attending neurocritical care physicians and comparing performance across four levels of training. Results: Forty-nine participants completed the simulation. The mean sum of critical actions completed by trainees was 10/21 (49%). Eleven (22%) trainees verbalized a differential diagnosis for the arrest. Thirty-two (65%) reviewed the electrocardiogram, recognized it as abnormal, and consulted cardiology. Forty trainees (81%) independently decided to start temperature management, but only 20 (41%) insisted on it when asked to reconsider. There was an effect of level of training on critical action checklist sum scores (novice mean score [standard deviation (SD)] = 4.8(1.8) vs. intermediate mean score (SD) = 10.4(2.1) vs. advanced mean score (D) = 11.6(3.0) vs. expert mean score (SD) = 14.7(2.2)). Conclusions: High-fidelity manikin-based simulation holds promise as an assessment tool in the performance of post-cardiac arrest care.

Femur Fracture Diagnosis and Management Aided by Point-of-Care Ultrasonography.

We describe a point-of-care ultrasonography to facilitate diagnosis of a femur fracture in a 13-year-old adolescent boy. Rapid detection of the fracture, which was not possible by physical examination alone, permitted immediate stabilization of the leg with traction, rapid communication with orthopedic surgeons, and facilitated analgesic therapy before transport and movement to obtain radiographs.