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Background: With a rise in mass casualty incidents, training in hemorrhage control using tourniquets has been championed as a basic-and lifesaving-procedure for bystanders and medical professionals alike. The current standard for training is in-person (IP) courses, which can be limited based on instructor availability. Virtual reality (VR) has demonstrated the potential to improve the accuracy of certain medical tasks but has not yet been developed for hemorrhage control. The objective of this study was to evaluate the efficacy of a VR hemorrhage trainer in learner retention of tourniquet application when compared to traditional IP instructor teaching among a cohort of emergency medicine residents practicing in a Level I trauma center. Methods: This was a prospective, observational study of 53 emergency medicine residents at an inner-city program. Participants were randomly assigned to either the control or the VR group. On Day 0, all residents underwent a training session (IP vs. VR) for the proper, stepwise application of a tourniquet, as defined by the American College of Trauma Surgeons. Each participant was then assessed on the application of a tourniquet by a blinded instructor using the National Registry Hemorrhage Control Skills Lab rubric. After 3 months, each resident was reevaluated on the same rubric, with subsequent data analysis on successful tourniquet placement (measured as under 90 s) and time to completion. Results: Of the 53 participants, the IP training group had an initial pass rate of 97% (28/29) compared to 92% (22/24) in the VR group (p = 0.58). On retention testing, the IP training group had a pass rate of 95% (20/21) compared to 90% (18/20) in the VR group (p = 0.62). Stratifying the success of tourniquet placement by level of resident training did not demonstrate any statistically significant differences. Conclusions: In this pilot study of emergency medicine residents, we found no significant differences in successful hemorrhage control by tourniquet placement between those trained with VR compared to a traditional IP course among emergency medicine residents. While more studies with greater power are needed, the results suggest that VR may be a useful adjunct to traditional IP medical training.
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INTRODUCTION: Wellens' syndrome represents an important, at times overlooked, spectrum of left anterior descending (LAD) coronary artery occlusion, spontaneous reperfusion, and impending reocclusion. Once considered pathognomonic for a thromboembolic coronary event, an increasing number of clinical scenarios have been demonstrated to result in pseudo-Wellens' syndrome, each requiring unique forms of assessment and management. CASE REPORT: We describe two clinical presentations in which myocardial bridging (MB) of the LAD led to clinical and electrophysiologic presentations of a pseudo-Wellens' syndrome. CONCLUSION: These reports represent a rare cause of pseudo-Wellens' syndrome attributed to MB of the LAD. Transient ischemia secondary to myocardial compression of the traversing LAD leads to intermittent angina and electrocardiogram changes that are typical in patients presenting with Wellens' syndrome secondary to an occlusive coronary event. As with other previously reported pathophysiologic mechanisms that have been shown to mimic Wellens' syndrome, myocardial bridging should be considered in patients presenting with a pseudo-Wellens' syndrome.
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INTRODUCTION: Over the last several decades simulation, in both graduate and undergraduate emergency medicine education, has continued to develop as a leading and highly effective teaching modality. Limited research exists to evaluate the efficacy of low-fidelity (table-top) simulation, as compared to high-fidelity standards, as it relates to medical knowledge learning outcomes. We sought to assess the efficacy of a low-fidelity simulation modality in undergraduate emergency medicine education, based on quantitative medical knowledge learning outcomes. METHODS: A prospective, randomized, crossover-control study comparing objective medical knowledge learning outcomes between simulation modalities. Analysis was designed to evaluate for the statistical equivalence of learning outcomes between the two cohorts. This was done by comparing a calculated 95% confidence interval (CI) around the mean difference in post-test scores, between experimental and control modalities, to a pre-established equivalence margin. RESULTS: Primary outcomes evaluating student performance on post-test examinations demonstrated a total cohort CI (95% CI, -0.22 and 0.68). Additional course-subject subgroup analysis demonstrated non-inferior CIs with: Shortness of Breath (95% CI, -0.35 and 1.27); Chest Pain (95% CI, -0.53 and.94); Abdominal Pain (95% CI, -0.88 and 1.17); Cardiovascular Shock (95% CI, -0.04 and 1.29). Secondary outcome analysis was done to evaluate medical knowledge acquisition by comparing the difference in pre and post-test examination between the cohorts. CI of the full cohort ranged from (95% CI, -0.14 and 0.96). CONCLUSION: The student's performance on quantitative medical-knowledge assessment was equivalent between the high-fidelity control and low-fidelity experimental simulation groups. Analysis of knowledge acquisition between the two groups also demonstrated statistical equivalence.
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Educação de Graduação em Medicina , Medicina de Emergência , Competência Clínica , Medicina de Emergência/educação , Humanos , Aprendizagem , Estudos ProspectivosRESUMO
PURPOSE: To quantify the frequency of patient noncompliance in an urban radiation oncology department and identify predictors of noncompliance. METHODS AND MATERIALS: We identified patients treated with external beam radiation therapy (RT) with curative intent in our department from 2007 to 2012 for 1 of 7 commonly treated malignancies. Patients who missed 2 or more scheduled RT appointments were deemed "noncompliant." An institutional database was referenced to obtain clinical and demographic information for each patient, as well as a quantitative estimate of each patient's socioeconomic status. Logistic regression was used to identify factors associated with RT noncompliance. RESULTS: A total of 2184 patients met eligibility criteria. Of these, 442 (20.2%) were deemed "noncompliant." On multivariate analysis, statistically significant predictors of noncompliance included diagnosis of head-and-neck, cervical, or uterine cancer, treatment during winter months, low socioeconomic status, and use of a long treatment course (all P<.05). CONCLUSION: This is the first large effort examining patient noncompliance with daily RT. We have identified demographic, clinical, and treatment-related factors that can be used to identify patients at high risk for noncompliance. These findings may inform future strategies to improve adherence to prescribed therapy.