22 research outputs found

    Challenges in Translation: Lessons from Using Business Pedagogy to Teach Leadership in Undergraduate Medicine

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    Problem: Leadership is increasingly recognized as a core physician competency required for quality patient care, continual system improvement, and optimal healthcare team performance. Consequently, integration of leadership into medical school curriculum is becoming a priority. This raises the question of the appropriate context, timing, and pedagogy for conveying this competency to medical students. Intervention: Our program introduced a 1-week leadership course grounded in business pedagogy to Year 1 medical students. The curriculum centred on four themes: (a) Understanding Change, (b) Effective Teamwork, (c) Leading in Patient Safety, and (d) Leadership in Action. Post-curriculum qualitative student feedback was analyzed for insight into student satisfaction and attitude towards the leadership course content. Context: The Undergraduate Medical Education program of the Schulich School of Medicine & Dentistry, Western University, is delivered over 4 years across 2 campuses in London and Windsor, Ontario, Canada. Course structure moved from traditional passive lectures to established business pedagogy, which involves active engagement in modules, case-based discussions, insights from guest speakers, and personal reflection. Outcome: A student-led survey evaluated student opinion regarding the leadership course content. Students valued career development reading materials and insights from guest speakers working in healthcare teams. Students did not relate to messages from speakers in senior healthcare leadership positions. Course scheduling late in the second semester was viewed negatively. Overall student opinion suggested that the 1-week course was suboptimal for establishing leadership principles and translated business pedagogy was ineffective in this context. Lessons Learned: Leadership curriculum in Undergraduate Medical Education should be grounded in a healthcare context relevant to the student\u27s stage of training. Student engagement may be better supported if leadership is framed as a competency throughout their career. Schools considering such innovations could draw lessons from other professional schools and utilize material and faculty that resonate with students

    Diagnostic segregation of human brain tumours using Fourier-transform infrared and/or Raman spectroscopy coupled with discriminant analysis

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    The most common initial treatment received by patients with a brain tumour is surgical removal of the growth. Precise histopathological diagnosis of brain tumours is to some extent subjective. Furthermore, currently available diagnostic imaging techniques to delineate the excision border during cytoreductive surgery lack the required spatial precision to aid surgeons. We set out to determine whether infrared (IR) and/or Raman spectroscopy combined with multivariate analysis could be applied to discriminate between normal brain tissue and different tumour types (meningioma, glioma and brain metastasis) based on the unique spectral "fingerprints" of their biochemical composition. Formalin-fixed paraffin-embedded tissue blocks of normal brain and different brain tumours were de-waxed, mounted on low-E slides and desiccated before being analyzed using attenuated total reflection Fourier-transform IR (ATR-FTIR) and Raman spectroscopy. ATR-FTIR spectroscopy showed a clear segregation between normal and different tumour subtypes. Discrimination of tumour classes was also apparent with Raman spectroscopy. Further analysis of spectral data revealed changes in brain biochemical structure associated with different tumours. Decreased tentatively-assigned lipid-to-protein ratio was associated with increased tumour progression. Alteration in cholesterol esters-to-phenylalanine ratio was evident in grade IV glioma and metastatic tumours. The current study indicates that IR and/or Raman spectroscopy have the potential to provide a novel diagnostic approach in the accurate diagnosis of brain tumours and have potential for application in intra-operative diagnosis

    A Survey of Figurative Language and Its Computational Detection in Online Social Networks

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    Development of a national medical leadership competency framework: the Dutch approach

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    Femoral Neck Shortening After Hip Fracture Fixation Is Associated With Inferior Hip Function : Results From the FAITH Trial

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    Effect of Alirocumab on Lipoprotein(a) and Cardiovascular Risk After Acute Coronary Syndrome

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    BACKGROUND Lipoprotein(a) concentration is associated with cardiovascular events. Alirocumab, a proprotein convertase subtilisin/kexin type 9 inhibitor, lowers lipoprotein(a) and low-density lipoprotein cholesterol (LDL-C).OBJECTIVES A pre-specified analysis of the placebo-controlled ODYSSEY Outcomes trial in patients with recent acute coronary syndrome (ACS) determined whether alirocumab-induced changes in lipoprotein(a) and LDL-C independently predicted major adverse cardiovascular events (MACE).METHODS One to 12 months after ACS, 18,924 patients on high-intensity statin therapy were randomized to alirocumab or placebo and followed for 2.8 years (median). Lipoprotein(a) was measured at randomization and 4 and 12 months thereafter. The primary MACE outcome was coronary heart disease death, nonfatal myocardial infarction, ischemic stroke, or hospitalization for unstable angina.RESULTS Baseline lipoprotein(a) levels (median: 21.2 mg/dl; interquartile range [IQR]: 6.7 to 59.6 mg/dl) and LDL-C [corrected for cholesterol content in lipoprotein(a)] predicted MACE. Alirocumab reduced lipoprotein(a) by 5.0 mg/dl (IQR: 0 to 13.5 mg/dl), corrected LDL-C by 51.1 mg/dl (IQR: 33.7 to 67.2 mg/dl), and reduced the risk of MACE (hazard ratio [HR]: 0.85; 95% confidence interval [CI]: 0.78 to 0.93). Alirocumab-induced reductions of lipoprotein(a) and corrected LDL-C independently predicted lower risk of MACE, after adjustment for baseline concentrations of both lipoproteins and demographic and clinical characteristics. A 1-mg/dl reduction in lipoprotein(a) with alirocumab was associated with a HR of 0.994 (95% CI: 0.990 to 0.999; p = 0.0081).CONCLUSIONS Baseline lipoprotein(a) and corrected LDL-C levels and their reductions by alirocumab predicted the risk of MACE after recent ACS. Lipoprotein(a) lowering by alirocumab is an independent contributor to MACE reduction, which suggests that lipoprotein(a) should be an independent treatment target after ACS. (ODYSSEY Outcomes: Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab; NCT01663402) (C) 2020 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.Fondation Assistance Publique - Hopitaux de Paris, Paris, Franc

    Effect of Alirocumab on Lipoprotein(a) and Cardiovascular Risk After Acute Coronary Syndrome

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