Despite national initiatives and ongoing efforts, keeping patients safe remains a challenge. Education is the key to preparing health care professionals to be able to prevent errors and provide safe patient care. In the past three decades, perioperative courses have been removed from nearly every nursing program in the United States, thereby eliminating the chance for students to learn nursing skills and concepts related to safety in the perioperative environment. The purpose of this study was to determine the effect of a perioperative nursing course on junior baccalaureate nursing students' safety knowledge by testing students before and after they completed the course. Safety knowledge increased among the 44 student participants. Nursing program faculty members are encouraged to explore teaching opportunities beyond the traditional nursing educational model and include perioperative courses as part of the baccalaureate nursing curriculum to enhance patient safety.

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Study Objectives: Sleep is crucial for the optimal function of all human beings, physicians included. As administrations have begun to focus on the well-being of healthcare workers, more studies are needed to determine how current working patterns affect emotional and physical well-being of these workers. It is therefore important to understand the effects of the demands of residency training on sleep quality. The goal of this study was to better evaluate the characteristics of junior physicians' sleep and to determine how shift work impacts sleep quality in these doctors.Methods: This was an IRB-approved, prospective, observational study in which EM residents had sleep characteristics (sleep time, light, deep, and REM sleep) recorded by a Fitbit© device (Charge 3). 34 emergency medicine residents were consented and had their sleep data sent to a secure database, Fitabase ©. Data was recorded from December 2019 to May 2021 for six months total, although some residents opted out of the study early due to the COVID-19 pandemic. Emergency department shifts were 8-10 hours long and coded as either day (starting between 6a-10a), evening (starting between 11a-4p), night shift (starting between 9p-12a), post-night (day after night shift), or off. One way ANOVA test was used to compare sleep times, with Bonferroni Correction post hoc analysis performed to determine between group differences.Results: There were statistically significant differences found between the sleep times based on shift. ANOVA for total time in bed F(4, 2067)