4 research outputs found

    Precariedad, exclusiĂłn social y diversidad funcional (discapacidad): lĂłgicas y efectos subjetivos del sufrimiento social contemporĂĄneo (II). InnovaciĂłn docente en FilosofĂ­a

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    El PIMCD "Precariedad, exclusiĂłn social y diversidad funcional (discapacidad): lĂłgicas y efectos subjetivos del sufrimiento social contemporĂĄneo (II). InnovaciĂłn docente en FilosofĂ­a" se ocupa de conceptos generalmente eludidos por la tradiciĂłn teĂłrica (contando como nĂșcleos aglutinantes los de la precariedad laboral, la exclusiĂłn social y diversidad funcional o discapacidad), cuyo anĂĄlisis propicia nuevas prĂĄcticas en la enseñanza universitaria de filosofĂ­a, adoptando como meta principal el aprendizaje centrado en el estudiantado, el diseño de nuevas herramientas de enseñanza y el fomento de una universidad inclusiva. El proyecto cuenta con 26 docentes de la UCM y otros 28 docentes de otras 17 universidades españolas (UV, UNED, UGR, UNIZAR, UAH, UC3M, UCA, UNIOVI, ULL, EHU/UPV, UA, UAM, Deusto, IFS/CSIC, UCJC, URJC y Univ. Pontificia de Comillas), que permitirĂĄn dotar a las actividades programadas de un alcance idĂłneo para consolidar la adquisiciĂłn de competencias argumentativas y dialĂ©cticas por parte de lxs estudiantes implicados en el marco de los seminarios previstos. Se integrarĂĄn en el PIMCD, aparte de PDI, al menos 26 estudiantes de mĂĄster y doctorado de la Facultad de FilosofĂ­a, a lxs que acompañarĂĄn durante el desarrollo del PIMCD 4 Alumni de la Facultad de FilosofĂ­a de la UCM, actualmente investigadores post-doc y profesorxs de IES, cuya experiencia serĂĄ beneficiosa para su introducciĂłn en la investigaciĂłn. Asimismo, el equipo cuenta con el apoyo de varixs profesorxs asociadxs, que en algunos casos son tambiĂ©n profesores de IES. Varixs docentes externos a la UCM participantes en el PIMCD poseen una dilatada experiencia en la coordinaciĂłn de proyectos de innovaciĂłn de otras universidades, lo que redundarĂĄ en beneficio de las actividades a desarrollar. La coordinadora y otrxs miembros del PIMCD pertenecen a la Red de InnovaciĂłn Docente en Filosofia (RIEF), puesta en marcha desde la Universitat de ValĂšncia (http://rief.blogs.uv.es/encuentros-de-la-rief/), a la que mantendremos informada de las actividades realizadas en el proyecto. Asimismo, lxs 6 miembros del PAS permitirĂĄn difundir debidamente las actividades realizadas en el PIMCD entre lxs estudiantes Erasmus IN del curso 2019/20 en la Facultad de FilosofĂ­a, de la misma manera que orientar en las tareas de maquetaciĂłn y ediciĂłn que puedan ser necesarias de cara a la publicaciĂłn de lxs resultados del PIMCD y en las tareas de pesquisa bibliogrĂĄfica necesarias para el desarrollo de los objetivos propuestos. Han manifestado su interĂ©s en los resultados derivados del PIMCD editoriales especializadas en la difusiĂłn de investigaciones predoctorales como Ápeiron y CTK E-Books

    Development and validation of a risk stratification model for prediction of disability and hospitalisation in patients with heart failure: a study protocol

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    BACKGROUND: Chronic heart failure (CHF) reduces quality of life and causes hospitalisation and death. Identifying predictive factors of such events may help change the natural history of this condition. AIM: To develop and validate a stratification system for classifying patients with CHF, according to their degree of disability and need for hospitalisation due to any unscheduled cause, over a period of 1 year. METHODS AND ANALYSIS: Prospective, concurrent, cohort-type study in two towns in the Madrid autonomous region having a combined population of 1 32 851. The study will include patients aged over 18 years who meet the following diagnostic criteria: symptoms and typical signs of CHF (Framingham criteria) and left ventricular ejection fraction (EF)50%).Outcome variables will be(a) Disability, as measured by the WHO Disability Assessment Schedule V.2.0 Questionnaire, and (b) unscheduled hospitalisations. The estimated sample size is 557 patients, 371 for predictive model development (development cohort) and 186 for validation purposes (validation cohort). Predictive models of disability or hospitalisation will be constructed using logistic regression techniques. The resulting model(s) will be validated by estimating the probability of outcomes of interest for each individual included in the validation cohort. ETHICS AND DISSEMINATION: The study protocol has been approved by the Clinical Research Ethics Committee of La Princesa University Teaching Hospital (PI-705). All results will be published in a peer-reviewed journal and shared with the medical community at conferences and scientific meetings.This study was funded by Health Research Fund (Fondo de InvestigacionesSanitarias/FIS) grant no. PI 14/01677 and co-financed with European Regional Development Fund (ERDF) funds (Carlos III Institute of Health-Research Network for Chronic Diseases/ISCIII–REDISSEC Project).S

    Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

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    Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)
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