8 research outputs found

    Las emociones en la enseñanza de las ciencias

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    En la primera parte del artículo, se incide en la importancia del estudio de las emociones desde la didáctica de las ciencias, así como en la necesidad de establecer programas de intervención metacognitivos y metaemocionales, tanto en el aprendizaje como en la formación del profesorado, para que alumnos y profesores puedan conocer sus emociones, controlarlas y autorregularlas. En la segunda parte, nos centramos en las emociones en el conocimiento didáctico del contenido del profesorado de ciencias, incluyendo algunos resultados tanto del diagnóstico emocional del profesorado, según distintas variables, como del programa de intervención de la Universidad de Extremadura.The first part of this communication highlights the importance of studying emotions in the context of science teaching. It also examines the need for programs of meta-emotional and metacognitive intervention in learning and teacher education that are aimed at both the future teachers'and their pupils' gaining awareness of, and then controlling and self-regulating, their emotions. The second part focuses on the role emotions play in science teachers' pædagogical content knowledge, with the presentation of some results concerning the University of Extremadura's intervention program and the emotional diagnosis of teachers.En la primera part de l'article, s'incideix en la importància de l'estudi de les emocions des de la didàctica de les ciències, així com en la necessitat d'establir programes d'intervenció metacognitivos i metaemocionales, tant en l'aprenentatge com en la formació del professorat, perquè alumnes i professors puguin conèixer les seves emocions, controlar-les i autorregularlas. En la segona part, ens centrem en les emocions en el coneixement didàctic del contingut del professorat de ciències, incloent alguns resultats tant del diagnòstic emocional del professorat, segons diferents variables, com del programa d'intervenció de la Universitat d'Extremadura

    Early mobilisation in critically ill COVID-19 patients: a subanalysis of the ESICM-initiated UNITE-COVID observational study

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    Background Early mobilisation (EM) is an intervention that may improve the outcome of critically ill patients. There is limited data on EM in COVID-19 patients and its use during the first pandemic wave. Methods This is a pre-planned subanalysis of the ESICM UNITE-COVID, an international multicenter observational study involving critically ill COVID-19 patients in the ICU between February 15th and May 15th, 2020. We analysed variables associated with the initiation of EM (within 72 h of ICU admission) and explored the impact of EM on mortality, ICU and hospital length of stay, as well as discharge location. Statistical analyses were done using (generalised) linear mixed-effect models and ANOVAs. Results Mobilisation data from 4190 patients from 280 ICUs in 45 countries were analysed. 1114 (26.6%) of these patients received mobilisation within 72 h after ICU admission; 3076 (73.4%) did not. In our analysis of factors associated with EM, mechanical ventilation at admission (OR 0.29; 95% CI 0.25, 0.35; p = 0.001), higher age (OR 0.99; 95% CI 0.98, 1.00; p ≤ 0.001), pre-existing asthma (OR 0.84; 95% CI 0.73, 0.98; p = 0.028), and pre-existing kidney disease (OR 0.84; 95% CI 0.71, 0.99; p = 0.036) were negatively associated with the initiation of EM. EM was associated with a higher chance of being discharged home (OR 1.31; 95% CI 1.08, 1.58; p = 0.007) but was not associated with length of stay in ICU (adj. difference 0.91 days; 95% CI − 0.47, 1.37, p = 0.34) and hospital (adj. difference 1.4 days; 95% CI − 0.62, 2.35, p = 0.24) or mortality (OR 0.88; 95% CI 0.7, 1.09, p = 0.24) when adjusted for covariates. Conclusions Our findings demonstrate that a quarter of COVID-19 patients received EM. There was no association found between EM in COVID-19 patients' ICU and hospital length of stay or mortality. However, EM in COVID-19 patients was associated with increased odds of being discharged home rather than to a care facility. Trial registration ClinicalTrials.gov: NCT04836065 (retrospectively registered April 8th 2021)

    EvalCOMIX en Moodle: Un medio para favorecer la participación de los estudiantes en la e-Evaluación

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    The new educational context, implemented through the European Higher Education Area, implies new assessment methodologies based in competences assessment in which students play an active role, participating actively in their own assessment process. Nevertheless, Moodle just allows the assessment of teachers to students. In this study we show how to equip Moodle with the possibility of involving students in assessment, adding two new models: self-assessment and peer assessment. To do so, the tool used is EvalCOMIX, a web service designed specifically with this aim.El nuevo contexto educativo generado con la implantación del Espacio Europeo de Educa-ción Superior, sugiere nuevas estrategias de evaluación basadas en la evaluación de compe-tencias en las que el estudiante ha de jugar un papel activo participando en su propia eva-luación. Sin embargo, la plataforma Moodle hasta nuestros días, excepto en casos muy ais-lados, sólo permite la evaluación profesor-alumno. A través de este trabajo, se muestra cómo dotar a Moodle de esta capacidad, añadiendo dos nuevas modalidades de evaluación (autoevaluación y evaluación entre iguales) usando para ello la herramienta EvalCOMIX, servicio web específicamente diseñado para este fin

    Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

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    Background: The COVID-19 pandemic presented major challenges for critical care facilities worldwide. Infections which develop alongside or subsequent to viral pneumonitis are a challenge under sporadic and pandemic conditions; however, data have suggested that patterns of these differ between COVID-19 and other viral pneumonitides. This secondary analysis aimed to explore patterns of co-infection and intensive care unit-acquired infections (ICU-AI) and the relationship to use of corticosteroids in a large, international cohort of critically ill COVID-19 patients.Methods: This is a multicenter, international, observational study, including adult patients with PCR-confirmed COVID-19 diagnosis admitted to ICUs at the peak of wave one of COVID-19 (February 15th to May 15th, 2020). Data collected included investigator-assessed co-infection at ICU admission, infection acquired in ICU, infection with multi-drug resistant organisms (MDRO) and antibiotic use. Frequencies were compared by Pearson's Chi-squared and continuous variables by Mann-Whitney U test. Propensity score matching for variables associated with ICU-acquired infection was undertaken using R library MatchIT using the "full" matching method.Results: Data were available from 4994 patients. Bacterial co-infection at admission was detected in 716 patients (14%), whilst 85% of patients received antibiotics at that stage. ICU-AI developed in 2715 (54%). The most common ICU-AI was bacterial pneumonia (44% of infections), whilst 9% of patients developed fungal pneumonia; 25% of infections involved MDRO. Patients developing infections in ICU had greater antimicrobial exposure than those without such infections. Incident density (ICU-AI per 1000 ICU days) was in considerable excess of reports from pre-pandemic surveillance. Corticosteroid use was heterogenous between ICUs. In univariate analysis, 58% of patients receiving corticosteroids and 43% of those not receiving steroids developed ICU-AI. Adjusting for potential confounders in the propensity-matched cohort, 71% of patients receiving corticosteroids developed ICU-AI vs 52% of those not receiving corticosteroids. Duration of corticosteroid therapy was also associated with development of ICU-AI and infection with an MDRO.Conclusions: In patients with severe COVID-19 in the first wave, co-infection at admission to ICU was relatively rare but antibiotic use was in substantial excess to that indication. ICU-AI were common and were significantly associated with use of corticosteroids

    Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave : the global UNITE-COVID study (vol 48, pg 690, 2022)

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    Clinical and organizational factors associated with mortality during the peak of first COVID-19 wave : the global UNITE-COVID study

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    Purpose To accommodate the unprecedented number of critically ill patients with pneumonia caused by coronavirus disease 2019 (COVID-19) expansion of the capacity of intensive care unit (ICU) to clinical areas not previously used for critical care was necessary. We describe the global burden of COVID-19 admissions and the clinical and organizational characteristics associated with outcomes in critically ill COVID-19 patients. Methods Multicenter, international, point prevalence study, including adult patients with SARS-CoV-2 infection confirmed by polymerase chain reaction (PCR) and a diagnosis of COVID-19 admitted to ICU between February 15th and May 15th, 2020. Results 4994 patients from 280 ICUs in 46 countries were included. Included ICUs increased their total capacity from 4931 to 7630 beds, deploying personnel from other areas. Overall, 1986 (39.8%) patients were admitted to surge capacity beds. Invasive ventilation at admission was present in 2325 (46.5%) patients and was required during ICU stay in 85.8% of patients. 60-day mortality was 33.9% (IQR across units: 20%-50%) and ICU mortality 32.7%. Older age, invasive mechanical ventilation, and acute kidney injury (AKI) were associated with increased mortality. These associations were also confirmed specifically in mechanically ventilated patients. Admission to surge capacity beds was not associated with mortality, even after controlling for other factors. Conclusions ICUs responded to the increase in COVID-19 patients by increasing bed availability and staff, admitting up to 40% of patients in surge capacity beds. Although mortality in this population was high, admission to a surge capacity bed was not associated with increased mortality. Older age, invasive mechanical ventilation, and AKI were identified as the strongest predictors of mortality
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