BACKGROUND: The COVID-19 pandemic disrupted the delivery of surgical services. The purpose of this communication was to report the impact of the pandemic on surgical training and learner well-being and to document adaptations made by surgery departments. STUDY DESIGN: A 37-item survey was distributed to educational leaders in general surgery and other surgical specialty training programs. It included both closed-and open-ended questions and the self-reported stages of GME during the COVID-19 pandemic, as defined by the ACGME. Statistical associations for items with stage were assessed using categorical analysis. RESULTS: The response rate was 21% (472 of 2,196). US stage distribution (n ¼ 447) was as follows: stage 1, 22%; stage 2, 48%; and stage 3, 30%. Impact on clinical education significantly increased by stage, with severe reductions in nonemergency operations (73% and 86% vs 98%) and emergency operations (8% and 16% vs 34%). Variable effects were reported on minimal expected case numbers across all stages. Reductions were reported in outpatient experience (83%), in-hospital experience (70%), and outside rotations (57%). Increases in ICU rotations were reported with advancing stage (7% and 13% vs 37%). Severity of impact on didactic education increased with stage (14% and 30% vs 46%). Virtual conferences were adopted by 97% across all stages. Severity of impact on learner well-being increased by stagedphysical safety (6% and 9% vs 31%), physical health (0% and 7% vs 17%), and emotional health (11% and 24% vs 42%). Regardless of stage, most but not all made adaptations to support trainees' well-being. CONCLUSIONS: The pandemic adversely impacted surgical training and the well-being of learners across all surgical specialties proportional to increasing ACGME stage. There is a need to develop education disaster plans to support technical competency and learner well-being. Careful Disclosure Information: Nothing to disclose. Disclosure outside the scope of this work: Dr Ellison receives royalty payments for original contributions from McGraw-Hill Medical and Wolters Kluwer. All other authors have nothing to disclose.
Background. American health care is transitioning to electronic physician ordering. These computerized systems are unique because they allow custom order interfaces. Although these systems provide great benefits, there are also potential pitfalls, as the behavioral sciences have shown that the very format of electronic interfaces can influence decision making. The current research specifically examines how defaults in electronic order templates affect physicians' treatment decisions and medical errors. Methods. Forty-five medical residents completed order sets for 3 medical case studies. Participants were randomly assigned to receive order sets with either ''opt-in'' defaults (options visible but unselected) or ''opt-out '' defaults (options visible and preselected). Results compare error rates between conditions and examine the type and severity of errors most often made with opt-in versus opt-out defaults. Results. Opt-out defaults resulted in
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