A scoping review and consensus recommendations for emergency medical services buprenorphine (EMS-Bupe) programs.

Objectives: Emergency Medical Services (EMS) agencies are beginning to provide low-barrier access to treatment for opioid use disorder (OUD) through the development of EMS buprenorphine (EMS-Bupe) programs. However, evidence-based practices for these programs are lacking. Our aim was to review the current literature on EMS and emergency department (ED) based buprenorphine treatment programs to provide consensus recommendations on the EMS-Bupe program development.

Ideal-observer performance under signal and background uncertainty.

We use the performance of the Bayesian ideal observer as a figure of merit for hardware optimization because this observer makes optimal use of signal-detection information. Due to the high dimensionality of certain integrals that need to be evaluated, it is difficult to compute the ideal observer test statistic, the likelihood ratio, when background variability is taken into account. Methods have been developed in our laboratory for performing this computation for fixed signals in random backgrounds.