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In clinical settings, residents are individually coached by preceptors and provided with specific, actionable feedback to support their learning. With respect to formative assessments, residents likely require explicit training on how to use their assessment results (ITE scores) to support their self-directed learning. This finding has practical implications for residency programs in using ITEs as formative assessments.
While the observed negative relationship between residents' mastery mindset scores and their ITE performance may be disconcerting, it is not surprising. In clinical settings, residents are individually coached by preceptors and provided with specific, actionable feedback to support their learning. With respect to formative assessments, residents likely require explicit training on how to use their assessment results (ITE scores) to support their self-directed learning. This finding has practical implications for residency programs in using ITEs as formative assessments.
The COVID-19 pandemic required rapid curriculum adaptation to online delivery. Given the importance of accurate clinical patient handoffs, we adapted simulation-based medical student training in clinical patient handoffs. We scored the accuracy of the information students presented. We also elicited student feedback to determine their perceptions of the event and their evaluations of the effectiveness of the training.
Twenty-six third-year medical students participated online via Zoom. Students participated in groups of three or four students. They sequentially encountered a standardized patient. Clinical information and physical exam findings were handed off from student to student until the encounter was complete. The student group then debriefed with faculty. Students were evaluated based on the proportion of clinical information handed off to the following student. Students also evaluated the training session.
The first student handoff included 73.4% of the available information. In subsequent handohat training is successful.
Home visits can improve quality of care and health outcomes and provide a unique opportunity to learn more about patients' social context and assess patients' various social determinants of health (SDH). The objectives of this study were to assess patient self-reported SDH, resident reflections on patient social status, the utility of a SDH survey during home visits, and resident comfort levels addressing patient SDH.
This was a mixed-methods pilot study utilizing patient self-reported data and open-ended reflection questions. Participants included adult patients aged more than 18 years from an urban safety-net clinic and family medicine residents who provide their care.
We received forty-two surveys from 42 home visits. Most patients were female (61.9%) and African-American (45.2%), aged from 25 to 88 years (mean=60.24). Top patient-reported SDH include transportation, paying bills, and food insecurity. Common themes of resident responses included positive utility of the survey for assessing patient SDH; variation in comfort level when inquiring about patient SDH with positive influence from prior experience, assistance from colleagues, or prior good relations with patients; and expressed intention to include SDH assessment in future practice.
Residents recognized the value of assessing SDH during home visits and expressed intent to include it in future practice. Thorough assessment of patient SDH may help to craft a more robust and standardized system to prioritize patients who would most benefit from receiving home visits.
Residents recognized the value of assessing SDH during home visits and expressed intent to include it in future practice. Thorough assessment of patient SDH may help to craft a more robust and standardized system to prioritize patients who would most benefit from receiving home visits.The premise of Open Science is that research and medical management will progress faster if data and knowledge are openly shared. The value of Open Science is nowhere more important and appreciated than in the rare disease (RD) community. Research into RDs has been limited by insufficient patient data and resources, a paucity of trained disease experts, and lack of therapeutics, leading to long delays in diagnosis and treatment. These issues can be ameliorated by following the principles and practices of sharing that are intrinsic to Open Science. Here, we describe how the RD community has adopted the core pillars of Open Science, adding new initiatives to promote care and research for RD patients and, ultimately, for all of medicine. PKI-587 We also present recommendations that can advance Open Science more globally.In the swine industry, pre-weaning mortality, umbilical hernia incidence and pig market weight are a few contributing factors affecting profitability and welfare on farm. Therefore, the ability to reliably predict any of these outcomes is valuable to swine operations. Mortality during the pre-weaning phase, umbilical hernia incidence and poor-quality finisher pigs can represent a multi-million dollar loss and increase in welfare concerns to the producer. Consequently, the objective of this study was to evaluate whether birth weight (BW), umbilical cord diameter at birth (UCD), and the calculated umbilical diameter at birth to birth weight ratio (UCDBW), are potential indicators of both placental efficiency and relative defect size in the abdominal musculature as well as reliable predictors of pre-weaning mortality, umbilical hernia incidence, and pig body weight at 150 d of age in a commercial facility. Mixed sex commercial piglets were followed through production. Four hundred sixty-five piglets were weighede was significantly affected by UCDBW, BW, and UCD variables (P less then 0.001). For example, piglets that had a larger UCD weighed more at 150 d of age. In conclusion, measuring the calculated UCDBW has the potential to be a novel tool for future research looking into the impacts of umbilical measurements as it relates to placental function, fetal development, piglet survivability and impacts on future performance of the animal.Maltreatment of children continues to be a major public health concern, with high social, economic and health burdens. Rates vary by a number of factors that can be categorized into different levels of the social ecology. Research and theory in this field point to the importance of community-level factors that can contribute to either risk or prevention of child maltreatment. link2 The COVID-19 pandemic context creates additional risks and concerns related to child maltreatment and exacerbates risk factors that existed before e.g., families and communities are in much worsened states of poverty, unemployment, and food insecurity; losses and grief are affecting mental health; and limitations and safety concerns are affecting in-person child protection work and more. Central to recovery from this pandemic will be the mobilization of community-level resources and the building back up of the social fabric that can support vulnerable children and caregivers. Key to this mobilization will be a better intersectional understanding of structural inequities in the child welfare system and in our communities. Efforts to dismantle structural biases and discrimination are critical to provide safety and support for families and vital for effective child maltreatment prevention. In this context, we discuss the state of the science of community-level prevention of childhood maltreatment, highlighting evidence-based community-level prevention programs and how these types of efforts may be impacted by the current COVID-19 global pandemic.There have been many improvements and advancements in the application of neural networks in the mining industry. In this study, two advanced deep learning neural networks called recurrent neural network (RNN) and autoregressive integrated moving average (ARIMA) were implemented in the simulation and prediction of limestone price variation. The RNN uses long short-term memory layers (LSTM), dropout regularization, activation functions, mean square error (MSE), and the Adam optimizer to simulate the predictions. The LSTM stores previous data over time and uses it in simulating future prices based on defined parameters and algorithms. The ARIMA model is a statistical method that captures different time series based on the level, trend, and seasonality of the data. The auto ARIMA function searches for the best parameters that fit the model. Different layers and parameters are added to the model to simulate the price prediction. The performance of both network models is remarkable in terms of trend variability and factors affecting limestone price. The ARIMA model has an accuracy of 95.7% while RNN has an accuracy of 91.8%. This shows that the ARIMA model outperforms the RNN model. In addition, the time required to train the ARIMA is than that of the RNN. Predicting limestone prices may help both investors and industries in making economical and technical decisions, for example, when to invest, buy, sell, increase, and decrease production.While coronavirus disease 2019 (COVID-19), caused by severe acute respiratory coronavirus 2 (SARS-CoV-2), has often been perceived as a predominantly respiratory condition, it is characterized by complications in multiple organ systems. Especially the involvement of the cardiovascular system, along with the possibly severe pulmonary injury, is crucial for prognosis. We identified three COVID-19 patients with takotsubo (TT) cardiomyopathy at our infectious diseases treatment center and present their clinical, laboratory, echocardiographic, electrocardiographic, and angiographic features. All patients were female (median age, 67 years); disease severity regarding COVID-19 ranged from asymptomatic to ARDS (adult respiratory syndrome) necessitating mechanical ventilation for 22 days. Angiography revealed normal coronary arteries in patient 1, severe three-vessel coronary artery disease (CAD) in patient 2, and insignificant bystander CAD in patient 3. All patients showed classic apical hypokinesia with basal hyperkinesia. In patient 3, TT cardiomyopathy resulted in transient cardiogenic shock. Twenty-eight-day mortality was 0% in this case series. In conclusion, takotsubo cardiomyopathy may be yet another clinical entity associated with SARS-CoV-2 infection.In the era of a pandemic, the utilization of telemedicine is growing at a rapid speed. This new and necessary adaption in medicine is a threat to the basics of medicine which include the physical exam. link3 A 72-year-old woman presents for a 1-week history of cervical neck discomfort. The patient was found to be febrile with initial physical exam nonrevealing due to patient preference of not taking off hospital gown. After blood cultures grew group A beta-hemolytic streptococcus and a computed tomography scan of the abdomen and pelvis with contrast demonstrated subtle bilateral renal hypodensities suggesting possible septic emboli, a more thorough physical exam was sought out which revealed a large rodent ulcer which the patient had been hiding from her family for 2 years. Transthoracic echocardiography was done which demonstrated a vegetation on the mitral valve confirming the diagnosis of endocarditis. The source of infection was the ulcer which was biopsied and found to be basal cell carcinoma. We present a unique case of endocarditis that was reliant on the physical exam to reveal the source of infection which was a rodent basal cell carcinoma ulcer.
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