Objectives: High-quality teaching performance is important to ensure patient safety and encourage residents' learning. This study aims to explore the content and phrasing of suggestions for improvement that residents provide to support excellent teaching performance of their supervisors.
Methods: From February 2010 to November 2011, 577 residents were invited to evaluate 501 teachers from both surgical and medical residency training programmes from 20 hospitals. Feedback was collected through a validated formative feedback system named System for Evaluation of Teaching Qualities. Two researchers independently coded the suggestions for improvement with literature-based coding schemes on (1) content and (2) linguistic characteristics. Besides these qualitative outcomes, descriptive statistics were calculated using SPSS.
Results: In total, 422 residents (73%) evaluated 488 teachers (97%), yielding 4184 evaluations. Of all teachers, 385 (79%) received suggestions for improvement focusing on teaching skills (TS), 390 (80%) on teaching attitude (TA) and 151 (31%) on personal characteristics. For 13%-47% of the suggestions for improvement, residents added (1) the location or situation where the observed TS or TA had taken place, (2) concrete examples of what teachers could do to improve or (3) (expected) effects of what the change in TS or TA would mean for residents.
Conclusions: Residents provide mainly relevant suggestions for improvement that mirror important aspects of teaching performance. However, these comments often lack specific phrasing limiting their value for performance improvement. Therefore, residents are recommended to increase the specificity of the suggestions for improvement. The paper provides directions to phrase narrative feedback.
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http://dx.doi.org/10.1136/postgradmedj-2014-133214 | DOI Listing |
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
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November 2024
Department of Chemistry and Biomolecular Sciences, University of Ottawa, Ottawa, ON K1N 6N6, Canada.
Despite all the progress in treating SARS-CoV-2, escape mutants to current therapies remain a constant concern. Promising alternative treatments for current and future coronaviruses are those that limit escape mutants by inhibiting multiple pathogenic targets, analogous to the current strategies for treating HCV and HIV. With increasing popularity and ease of manufacturing of RNA technologies for vaccines and drugs, therapeutic microRNAs represent a promising option.
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November 2024
Department of Toxicology, Drug Industry, Management and Legislation, Faculty of Pharmacy, "Victor Babeş" University of Medicine and Pharmacy, 2nd Eftimie Murgu Sq., 300041 Timişoara, Romania.
The COVID-19 outbreak, caused by the SARS-CoV-2 virus, was linked to significant neurological and psychiatric manifestations. This review examines the physiopathological mechanisms underlying these neuropsychiatric outcomes and discusses current management strategies. Primarily a respiratory disease, COVID-19 frequently leads to neurological issues, including cephalalgia and migraines, loss of sensory perception, cerebrovascular accidents, and neurological impairment such as encephalopathy.
View Article and Find Full Text PDFVaccines (Basel)
December 2024
The Vaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Annex to Seoul Saint Mary Hospital, 222 Banpo-daero, Seocho-gu, Seoul 06591, Republic of Korea.
Background: Influenza remains a significant public health challenge, with vaccination being a substantial way to prevent it. Cell-cultured influenza vaccines have emerged to improve on the drawbacks of egg-based vaccines, but there are few studies focusing on T cell immunity with both types of vaccines. Therefore, we studied the following 2022-2023 seasonal influenza vaccines with a standard dose and high dose: cell-based (C_sd and C_hd) and egg-based (E_sd and E_hd) vaccines.
View Article and Find Full Text PDFVaccines (Basel)
November 2024
Department of R&D, Shanghai HRAIN Biotechnology Co., Ltd., 1238 Zhangjiang Road, Pudong, Shanghai 201210, China.
The emergence of chimeric antigen receptor T-cell (CAR-T) immunotherapy holds great promise in treating hematologic malignancies. While advancements in CAR design have enhanced therapeutic efficacy, the time-consuming manufacturing process has not been improved in the commercial production of CAR-T cells. In this study, we developed a "DASH CAR-T" process to manufacture CAR-T cells in 72 h and found the excelling anti-tumor efficacy of DASH CAR-T cells over conventionally manufactured CAR-T cells.
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