Models for Implementing Emergency Department-Initiated Buprenorphine With Referral for Ongoing Medication Treatment at Emergency Department Discharge in Diverse Academic Centers.

There has been a substantial rise in the number of publications and training opportunities on the care and treatment of emergency department (ED) patients with opioid use disorder over the past several years. The American College of Emergency Physicians recently published recommendations for providing buprenorphine to patients with opioid use disorder, but barriers to implementing this clinical practice remain. We describe the models for implementing ED-initiated buprenorphine at 4 diverse urban, academic medical centers across the country as part of a federally funded effort termed "Project ED Health.

Emergency department-initiated buprenorphine protocols: A national evaluation.

Objective: Emergency department-initiated buprenorphine (BUP) for opioid use disorder is an evidence-based practice, but limited data exist on BUP initiation practices in real-world settings. We sought to characterize protocols for BUP initiation among a geographically diverse sample of emergency departments (EDs).

Methods: In December 2020, we reviewed prestudy clinical BUP initiation protocols from all EDs participating in CTN0099 Emergency Department-INitiated bupreNOrphine VAlidaTION (ED-INNOVATION).

[Measles: from a simple rash - to a fatal outcome ?].

Measles is a disease that was considered as relegated to medical history, since an extremely efficient vaccine had been developed. However, in Switzerland and elsewhere there has been an increasing number of epidemics in the past years, and the highest number of new cases this year. Based on two clinical cases showing very different outcomes, we discuss the disease, its clinic, complications, management, and the challenges remaining in obtaining a sufficient vaccination coverage worldwide as well as in our country.

Neural substrates of cognitive biases during probabilistic inference.

Decision making often requires simultaneously learning about and combining evidence from various sources of information. However, when making inferences from these sources, humans show systematic biases that are often attributed to heuristics or limitations in cognitive processes. Here we use a combination of experimental and modelling approaches to reveal neural substrates of probabilistic inference and corresponding biases.