BackgroundThere are an increasing number of training programs in emergency medicine involving different countries or cultures. Many examination types, both oral and written, have been validated as useful assessment tools around the world; but learner perception of their use in the setting of cross-cultural training programs has not been described.AimsThe goal of this study was to evaluate learner perception of four common examination methods in an international educational curriculum in emergency medicine.MethodsTwenty-four physicians in a cross-cultural training program were surveyed to determine learner perception of four different examination methods: structured oral case simulations, multiple-choice tests, semi-structured oral examinations, and essay tests. We also describe techniques used and barriers faced.ResultsThere was a 100% response rate. Learners reported that all testing methods were useful in measuring knowledge and clinical ability and should be used for accreditation and future training programs. They rated oral examinations as significantly more useful than written in measuring clinical abilities (p < 0.01). Compared to the other three types of examinations, learners ranked oral case simulations as the most useful examination method for assessing learners’ fund of knowledge and clinical ability (p < 0.01).ConclusionsPhysician learners in a cross-cultural, international training program perceive all four written and oral examination methods as useful, but rate structured oral case simulations as the most useful method for assessing fund of knowledge and clinical ability.Electronic supplementary materialThe online version of this article (doi:10.1007/s12245-009-0147-2) contains supplementary material, which is available to authorized users.
Background/Introduction:Moral distress is a well-described phenomenon in medical providers. It has been linked to mental health deterioration, decreased job satisfaction, and early retirement. No study has been done on the level of moral distress associated with treating patients in simultaneous disasters.Objectives:1.To learn what is known about the experience of moral distress in frontline health care providers during the COVID-19 pandemic and the concurrent conflict in Armenia during 2020.2.To determine how WHO EMTs can support their frontline staff experiencing moral distress.Method/Description:A survey was designed to test the moral distress felt by Armenian EMS providers who had cared for both COVID-19 and war casualty patients. This was adapted from the Moral Distress Scale Revised (MDS-R).Results/Outcomes:Of the questions asked, respondents most often responded that they were disturbed by: “Continuing to participate in care for a hopelessly ill or injured person who is being sustained on a ventilator when no one will make a decision to withdraw support” (Mean 2.68/Median 3/Mode 4); and “Initiated extensive life-saving actions when I think they only prolong death” (2.47/3/3), which caused the next most distress to subjects.Conclusion:It is expected that some health care workers in Armenia are likely facing on-going consequences of the moral distress they faced during this unprecedented period of global pandemic and war. Clinics and teams who are more likely to encounter potentially morally distressing events, such as disaster medicine workers, need to address their moral distress mitigation plan by identifying strategies across the continuum of disaster management.
ObjectiveThe Emergency Surgery Score (ESS) is a predictive tool used to assess morbidity and mortality rates in patients undergoing emergent surgery. This study explores the ESS’s predictive ability and reliability in the Jordanian surgical population.DesignA retrospective validation study.SettingA tertiary hospital in Jordan.ParticipantsA database was created including patients who underwent emergent surgery in King Abdullah University Hospital from January 2017 to June 2021.Primary and secondary outcome measuresRelevant preoperative, intraoperative and postoperative variables were retrospectively and systematically gathered, and the ESS was calculated for each patient accordingly. In addition, a multivariable logistic regression analysis was performed to assess the correlations between the ESS and postoperative mortality and morbidity along with intensive care unit (ICU) admissions.ResultsOut of total of 1452 patients evaluated, 1322 patients were enrolled based on inclusion and exclusion criteria. The mean age of the population was 47.9 years old. 91.9% of the patients were admitted to the surgical ward through the emergency department, while the rest were referred from inpatient and outpatient facilities. The mortality and postoperative complication rates were 3.9% and 13.5%, respectively. Mortality rates increased as the ESS score gradually increased, and the ESS was evaluated as a strong predictor with a c-statistic value of 0.842 (95% CI 0.743 to 0.896). The postoperative complication and ICU admission rate also increased with reciprocal rises in the ESS. They were also evaluated as accurate predictors with a c-statistic value of 0.724 (95% CI 0.682 to 0.765) and a c-statistic value of 0.825 (95% CI 0.784 to 0.866), respectively.ConclusionThe ESS is a robust, accurate predictor of postoperative mortality and morbidity of emergency general surgery patients. Furthermore, it is an all-important tool to enhance emergency general surgery practices, in terms of mitigating risk, quality of care measures and patient counselling.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.