138 resultados para traduction médicale
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[Ressource électronique] : open access journal
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AIM: People suffering from mental illness are exposed to stigma. However, only few tools are available to assess stigmatization as perceived from the patient's perspective. The aim of this study is to adapt and validate a French version of the Stigma Scale (King et al., 2007 [8]). This self-report questionnaire has a three-factor structure: discrimination, disclosure and positive aspects of mental illness. Discrimination subscale refers to perceived negative reactions of others. Disclosure subscale refers mainly to managing disclosure to avoid discrimination and finally positive aspects subscale taps into how patients are becoming more accepting, more understanding toward their illness. METHOD: In the first step, internal consistency, convergent validity and test-retest reliability of the French adaptation of the 28-item scale were assessed in a sample of 183 patients. Results of confirmatory factor analyses (CFA) did not confirm the hypothesized structure. In the light of the failed attempts to validate the original version, an alternative 9-item short-form version of the Stigma Scale, maintaining the integrity of the original model, was developed based on results of exploratory factor analyses in the first sample and cross-validated in a new sample of 234 patients. RESULTS: Results of CFA did not confirm that the data fitted well to the three-factor model of the 28-item Stigma Scale (χ(2)/df=2.02, GFI=0.77, AGFI=0.73, RMSEA=0.07, CFI=0.77 and NNFI=0.75). Cronbach's α was excellent for discrimination (0.84) and disclosure (0.83) subscales but poor for potential positive aspects (0.46). External validity was satisfactory. Overall Stigma Scale total score was negatively correlated with the score on Rosenberg's Self-Esteem Scale (r=-0.49), and each subscale was significantly correlated with a visual analogue scale that referred to the specific aspect of stigma (0.43≤|r|≤0.60). Intraclass correlation coefficients between 0.68 and 0.89 indicated good test-retest reliability. The results of the CFA demonstrated that the items chosen for the short version of the Stigma Scale have the expected fit properties (χ(2)/df=1.02, GFI=0.98, AGFI=0.98, RMSEA=0.01, CFI=1.0 and NNFI=1.0). Considering the small number (three) of items in each subscale of the short version of the Stigma Scale, α coefficients for discrimination (0.57), disclosure (0.80) and potential positive aspects subscales (0.62) are considered as good. CONCLUSION: Our results suggest that the 9-item French short version of the Stigma Scale is a useful, reliable and valid self-report questionnaire to assess perceived stigmatization in people suffering from mental illness. The time of completion is really short and questions are well understood and accepted by the patients.
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[Table des matières] Résumé. Zusammenfassung. 1. Introduction. 2. Intégrer le genre dans les études de médecine : la " Success Story " néerlandaise. 2.1 En amont du projet national de 2002-2005. 2.1.1 L'étude pilote menée à l'Université Radboud à la fin des années 1990. 2.2 Integrating Gender into the Core Curriculum: le déroulement du projet national (2002-2005). 3. Enseignement prégradué en médecine à Lausanne: quelle place pour le genre ? Etat des lieux pour l'année académique 2009-2010. 3.1 Inventaire: quelques fleurs dans le désert ? 3.2 La situation lausannoise à l'aune des exigences du projet néerlandais. 3.3 L'organisation de l'enseignement à l'École de médecine de Lausanne suite à la réforme des années 2000. 3.4 Le développement des études genre à l'Université de Lausanne et en Suisse: quel impact sur la médecine ? 4. Inclure le genre dans les études prégraduées de médecine : le cadre au niveau suisse. 4.1 Quelles possibilités de soutien au niveau des instruments nationaux de pilotage de la formation médicale prégraduée ? 5. Quelles possibilités de transfert ? Des questions pour l'avenir. 5.1 Comment transférer l'expérience néerlandaise? 5.2 Quelles activités pourraient être entreprises au niveau national ? 6. Annexes.
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Statistics has become an indispensable tool in biomedical research. Thanks, in particular, to computer science, the researcher has easy access to elementary "classical" procedures. These are often of a "confirmatory" nature: their aim is to test hypotheses (for example the efficacy of a treatment) prior to experimentation. However, doctors often use them in situations more complex than foreseen, to discover interesting data structures and formulate hypotheses. This inverse process may lead to misuse which increases the number of "statistically proven" results in medical publications. The help of a professional statistician thus becomes necessary. Moreover, good, simple "exploratory" techniques are now available. In addition, medical data contain quite a high percentage of outliers (data that deviate from the majority). With classical methods it is often very difficult (even for a statistician!) to detect them and the reliability of results becomes questionable. New, reliable ("robust") procedures have been the subject of research for the past two decades. Their practical introduction is one of the activities of the Statistics and Data Processing Department of the University of Social and Preventive Medicine, Lausanne.
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Objectifs du guide de prévention: Offrir aux médecins de premier recours, et en particulier à ceux du groupe AMI [Association des médecins indépendants], un document sur la médecine préventive qui établit les modalités pratiques d'une approche individuelle au cabinet individuel, selon une perspective de standard de qualité. Offrir aux patients de 50 ans un contrôle de santé et un conseil médical aptes à leur donner les moyens d'acquérir des aptitudes pour mieux contrôler leur santé. [Table des matières] Préambule. Corpus scientifique (la prévention en pratique clinique et la médecine fondée sur les preuves; etc.). Illustration de quelques facteurs peu scientifiques qui influencent le choix des examens préventifs par le médecin traitant. Recommandations pour la prévention dans le bilan de santé à 50 ans. Annexes: Fiches de prévention (consommation à risque et alcoolo-dépendance; dépistage du cancer du sein; désaccoutumance au tabac: algorithmes; vaccinations de routine de l'adulte).