This study evaluates a Massive Open Online Course (MOOC) on Emergency Medicine designed by iEM Education Project and Lecturio, using a validated checklist to assess its usability and user experience. The MOOC received a high score for cognitive connection (>4/5), in four components including interactivity, content and resources, media use, and instructional assessment. However, for learner guidance and support, the score was 2.75/5, indicating that the course did not provide clear instructions on how learners can get support or feedback from teachers when encountering problems in the course. For affective and functional connections, all components received a high overall mean score of more than 4/5. The course was impactful to the users who were in their early clinical years, as they were actively engaged and were motivated to complete the course. However, improvements should be made to better stimulate learning by improving learner feedback and providing space for collaborative learning online. Evaluation of MOOC applying the heuristics of usability and user experience identifies specific components of online learning course apart from rating the severity of acceptance or violation of instructional design principles. The information derived from usability and user experience studies can improve design and delivery of online courses.
User-Centered Design ; Educational Technology ; Emergency Medicine

Humans ; United States ; Internship and Residency ; COVID-19 ; Emergency Medicine/education* ; Curriculum

COVID-19 ; Emergency Medicine ; Humans ; Pandemics ; Qualitative Research ; SARS-CoV-2

OBJECTIVE: Few reliable and valid prognostic tools are available to help emergency physicians identify patients who might benefit from early palliative approaches. We sought to determine if responses to a modified version of the surprise question, “Would you be surprised if this patient died in the next 30 days” could predict in-hospital mortality and resource utilization for hospitalized emergency department patients.METHODS: For this observational study, emergency physicians responded to the modified surprise question with each admission over a five-month study period. Logistic regression analyses were completed and standard test characteristics evaluated.RESULTS: 6,122 visits were evaluated. Emergency physicians responded negatively to the modified surprise question in 918 (15.1%). Test characteristics for in-hospital mortality were: sensitivity 32%, specificity 85%, positive predictive value 6%, negative predictive value 98%. The risk of intensive care unit use (relative risk [RR], 1.87; 95% confidence interval [CI], 1.45 to 2.40), use of ‘comfort measures’ orders (RR, 3.43; 95% CI, 2.81 to 4.18), palliative-care consultation (RR, 3.06; 95% CI, 2.62 to 3.56), and in-hospital mortality (RR, 2.18; 95% CI, 1.72 to 2.76) were greater for patients with negative responses.CONCLUSION: The modified surprise question is a simple trigger for palliative care needs, accurately identifying those at greater risk for in-hospital mortality and resource utilization. With a negative predictive value of 98%, affirmative responses to the modified surprise question provide reassurance that in-hospital death is unlikely.
Emergencies ; Emergency Service, Hospital ; Hospital Mortality ; Humans ; Intensive Care Units ; Logistic Models ; Observational Study ; Palliative Care ; Palliative Medicine ; Sensitivity and Specificity ; Terminal Care

OBJECTIVE: Children are sedated before undergoing diagnostic imaging tests in emergency medicine or pediatric sedation anesthesia units. The aim of this study was to identify variables potentially affecting the dose of ketamine required for induction of sedation in pediatric patients undergoing diagnostic imaging.METHODS: This retrospective study included children aged 0 to 18 years who underwent sedation with ketamine for computed tomography or magnetic resonance imaging in the pediatric sedation anesthesia unit of a tertiary medical center between January 2011 and August 2016. The children’s hemodynamic status and depth of sedation were monitored during the examination. We recorded data on demographics, categories of imaging tests, ketamine doses administered, adverse events, respiratory interventions, and duration of sedation. Data for patients who experienced adverse events were excluded.RESULTS: Sixty-six patients were included in the final analysis. Univariate linear regression analysis revealed that patient age, height, and body surface area (BSA) affected the sedative dose of ketamine administered. These three variables showed multicollinearity in multivariate linear regression analysis and were analyzed in three separate models. The model with the highest adjusted R-squared value suggested the following equation for determination of the dose of ketamine required to induce sedation: ketamine dose (mg)=-1.62+0.7×age (months)+36.36×BSA (m²).CONCLUSION: Variables such as age and BSA should be considered when estimating the dose of ketamine required for induction of sedation in pediatric patients.
Anesthesia ; Body Surface Area ; Child ; Demography ; Diagnostic Imaging ; Emergency Medicine ; Hemodynamics ; Humans ; Ketamine ; Linear Models ; Magnetic Resonance Imaging ; Patient Care ; Retrospective Studies

Lacerations are a common reason for patients to seek medical attention, and are often acutely managed in the emergency department. Recent studies pertaining to closure techniques, sedation and analgesia, advances in wound care, and various other topics have been published, which may enhance our understanding of this injury and improve our management practices. This article will review pertinent studies published in the past few years relevant to laceration management. Understanding the current literature and appreciating which areas warrant further investigation will help us optimize outcomes for patients who sustain laceration injuries.
Analgesia ; Emergencies ; Emergency Medicine ; Emergency Service, Hospital ; Humans ; Lacerations ; Wounds and Injuries

OBJECTIVE: The point-of-care ultrasound of the airway (POCUS-A) is a useful examination method but there are currently no educational programs for medical students regarding it. We designed a POCUS-A training curriculum for medical students to improve three cognitive and psychomotor learning domains: knowledge of POCUS-A, image acquisition, and image interpretation.METHODS: Two hours of training were provided to 52 medical students in their emergency medicine (EM) rotation. Students were evaluated for cognitive and psychomotor skills before and immediately after the training. The validity measures were established with the help of six specialists and eight EM residents. A survey was administered following the curriculum.RESULTS: Cognitive skill significantly improved after the training (38.7±12.4 vs. 91.2±7.7) and there was no significant difference between medical students and EM residents in posttest scores (91.2±7.7 vs. 90.8±4.6). The success rate of overall POCUS-A performance was 95.8%. The students were confident to perform POCUS-A on an actual patient and strongly agreed to incorporate POCUS-A training in their medical school curriculum.CONCLUSION: Cognitive and psychomotor skills of POCUS-A among medical students can be improved via a limited curriculum on EM rotation.
Airway Management ; Curriculum ; Education ; Education, Medical ; Emergency Medicine ; Humans ; Learning ; Methods ; Pilot Projects ; Point-of-Care Systems ; Schools, Medical ; Specialization ; Students, Medical ; Ultrasonography

OBJECTIVE: This study was conducted to evaluate the concordance between the underlying causes of death (UCOD) on the death certificates written by three emergency physicians (EPs). We investigated errors on the death certificates committed by each EP.METHODS: This study included 106 patients issued a death certificate in the emergency department of an academic hospital. Three EPs reviewed the medical records retrospectively and completed 106 death certificates independently. The selection of the UCOD on the death certificates by each EP (EP-UCOD) was based on the general principle or selection rules. The gold standard UCOD (GS-UCOD) was determined for each patient by unanimous consent between three EPs. We also compared between the EP-UCOD and the GS-UCOD. In addition, we compared between UCODs of three EPs. The errors on the death certificates were investigated by each EP.RESULTS: The rates of concordance between EP-UCOD and the GS-UCOD were 86%, 81%, and 67% for EP-A, EP-B, and EP-C, respectively. The concordance rates between EP-A and EP-B were the highest overall percent agreement (0.783), and those between EP-A and EP-C were the lowest overall percent agreement (0.651). Although each EP had differences in the errors they committed, none of them listed the mode of dying as UCOD.CONCLUSION: This study confirmed that each EP wrote death certificates indicating different causes of death for the same decedents; however, the three EPs made fewer errors on the patients’ death certificates compared with those reported in previous studies.
Cause of Death ; Death Certificates ; Emergencies ; Emergency Medicine ; Emergency Service, Hospital ; Humans ; Medical Records ; Mortality ; Retrospective Studies

PURPOSE: The purpose of this paper was to investigate clinical nurses' knowledge and educational needs about dizziness. One of the most frequent complaints among adult persons visiting the hospital is experiencing dizziness. Clinical nurses in the hospital play a crucial role in managing such patients.METHODS: Our paper is a cross-sectional survey using structured instruments to evaluate clinical nurses' knowledge and educational needs about dizziness. This study was conducted January through February 2018. Subjects were 246 clinical nurses in an outpatient, intensive care, internal medicine unit and emergency department at university hospital. Data were analyzed using SPSS statistics 21.RESULTS: The average ofdizziness knowledge score was 57.66±23.75 (range 0-100) and educational need was 3.55±.47(range 0-5). There were significant differences in dizziness knowledge according to age (p < .001), working unit (p < .001), career duration (p < .001), change experience of unit (p < .001), dizziness patient care experience and participation in dizziness education (p < .001). There was positive correlation between knowledge of dizziness and the need for dizziness education (r=.26 p < .001).CONCLUSION: Results of this paper indicate that a dizziness education program is urgently needed for clinical nurses. Such a program should be seriously considered based on our results.
Adult ; Critical Care ; Cross-Sectional Studies ; Dizziness ; Education ; Emergency Service, Hospital ; Humans ; Internal Medicine ; Outpatients ; Patient Care

PURPOSE: To compare the efficacy of inflammatory markers, the Laboratory-score, and a new laboratory combined model for predicting serious bacterial infection (SBI) in young febrile children.METHODS: The presence of SBI was reviewed in previously healthy children aged 3 years or younger with fever (> 38℃) who visited the emergency department from 2017 through 2018. Areas under the curves (AUCs) of the receiver operating characteristic curve for SBI were compared with individual inflammatory markers (white blood cells [WBC] count, erythrocyte sedimentation rate [ESR], C-reactive protein [CRP], procalcitonin [PCT], and urine WBC count), the Laboratory-score, and a laboratory combined model. The latter model was developed using logistic regression analysis including ESR, CRP, and PCT.RESULTS: Of the 203 enrolled children, SBI was diagnosed in 58 (28.6%). For SBI prediction, the Laboratory-score showed 51.7% sensitivity (95% confidence interval [CI], 38.2%–65.0%) and 83.5% specificity (95% CI, 76.4%–89.1%). The AUC of the Laboratory-score (0.76) was significantly superior to the values of all individual inflammatory markers (WBC, 0.59 [P = 0.032]; ESR, 0.69; and CRP, 0.74 [P < 0.001]) except that of PCT (0.77, [P < 0.001]). The AUC of the laboratory combined model (0.80) was superior to that of the Laboratory-score (0.76) (P < 0.001).CONCLUSION: In this study, the new laboratory combined model showed good predictability for SBI. This finding suggests the usefulness of combining ESR, CRP, and PCT in predicting SBI.
Area Under Curve ; Bacterial Infections ; Blood Cells ; C-Reactive Protein ; Child ; Emergency Medicine ; Emergency Service, Hospital ; Erythrocyte Count ; Fever ; Humans ; Logistic Models ; Pediatrics ; ROC Curve ; Sensitivity and Specificity