Case complexity and clinical outcome in diabetes mellitus. A prospective study using the INTERMED.

The aim of this study was to assess a population of patients with diabetes mellitus by means of the INTERMED, a classification system for case complexity integrating biological, psychosocial and health care related aspects of disease. The main hypothesis was that the INTERMED would identify distinct clusters of patients with different degrees of case complexity and different clinical outcomes. Patients (n=61) referred to a tertiary reference care centre were evaluated with the INTERMED and followed 9 months for HbA1c values and 6 months for health care utilisation. Cluster analysis revealed two clusters: cluster 1 (62%) consisting of complex patients with high INTERMED scores and cluster 2 (38%) consisting of less complex patients with lower INTERMED. Cluster 1 patients showed significantly higher HbA1c values and a tendency for increased health care utilisation. Total INTERMED scores were significantly related to HbA1c and explained 21% of its variance. In conclusion, different clusters of patients with different degrees of case complexity were identified by the INTERMED, allowing the detection of highly complex patients at risk for poor diabetes control. The INTERMED therefore provides an objective basis for clinical and scientific progress in diabetes mellitus. Ongoing intervention studies will have to confirm these preliminary data and to evaluate if management strategies based on the INTERMED profiles will improve outcomes.

Modelling hydrodynamics in the Rio Parana, Argentina : an evaluation and inter-comparison of reduced-complexity and physics based models applied to a large sand-bed river

Depth-averaged velocities and unit discharges within a 30 km reach of one of the world's largest rivers, the Rio Parana, Argentina, were simulated using three hydrodynamic models with different process representations: a reduced complexity (RC) model that neglects most of the physics governing fluid flow, a two-dimensional model based on the shallow water equations, and a three-dimensional model based on the Reynolds-averaged Navier-Stokes equations. Row characteristics simulated using all three models were compared with data obtained by acoustic Doppler current profiler surveys at four cross sections within the study reach. This analysis demonstrates that, surprisingly, the performance of the RC model is generally equal to, and in some instances better than, that of the physics based models in terms of the statistical agreement between simulated and measured flow properties. In addition, in contrast to previous applications of RC models, the present study demonstrates that the RC model can successfully predict measured flow velocities. The strong performance of the RC model reflects, in part, the simplicity of the depth-averaged mean flow patterns within the study reach and the dominant role of channel-scale topographic features in controlling the flow dynamics. Moreover, the very low water surface slopes that typify large sand-bed rivers enable flow depths to be estimated reliably in the RC model using a simple fixed-lid planar water surface approximation. This approach overcomes a major problem encountered in the application of RC models in environments characterised by shallow flows and steep bed gradients. The RC model is four orders of magnitude faster than the physics based models when performing steady-state hydrodynamic calculations. However, the iterative nature of the RC model calculations implies a reduction in computational efficiency relative to some other RC models. A further implication of this is that, if used to simulate channel morphodynamics, the present RC model may offer only a marginal advantage in terms of computational efficiency over approaches based on the shallow water equations. These observations illustrate the trade off between model realism and efficiency that is a key consideration in RC modelling. Moreover, this outcome highlights a need to rethink the use of RC morphodynamic models in fluvial geomorphology and to move away from existing grid-based approaches, such as the popular cellular automata (CA) models, that remain essentially reductionist in nature. In the case of the world's largest sand-bed rivers, this might be achieved by implementing the RC model outlined here as one element within a hierarchical modelling framework that would enable computationally efficient simulation of the morphodynamics of large rivers over millennial time scales. (C) 2012 Elsevier B.V. All rights reserved.

Critères de qualité des recherches qualitatives en sciences de la santé. À propos d'une analyse comparative de huit grilles de critères de qualité en psychiatrie/psychologie et en médecine

Les recherches qualitatives dans les sciences de la santé sont de plus en plus nombreuses, cependant elles restent difficiles à publier et font souvent l'objet d'une moindre reconnaissance de la part des commanditaires et/ou des experts des revues. Devant cet état de fait, les chercheurs anglo-saxons ont développé un ensemble de grilles et critères qui devraient permettre d'établir les « standards » de qualité d'une recherche qualitative. Dans un premier temps, les auteurs proposent un bref état des lieux concernant les critères de qualité de la recherche qualitative dans les sciences de la santé. Dans un deuxième temps, ils présentent huit grilles, dont la traduction française est inédite, issues de la psychologie/psychiatrie et de la médecine générale. Les auteurs mettent en perspective ces grilles et montrent les difficultés à trouver des accords dans les définitions des critères entre les divers auteurs. Ces difficultés mettent en évidence l'écart entre ces grilles tant au point de vue de l'épistémologie qui les sous-tend, qu'au point de vue des critères retenus (nombre, type, forme, contenus). Les différences entre elles correspondent à la diversité des paradigmes auxquels se réfèrent les créateurs des grilles, sans jamais le mentionner explicitement dans leurs textes de référence. Les auteurs concluent que l'augmentation des travaux de recherche et des publications de type qualitatif n'a pas permis de dépasser les difficultés à établir des critères définis et partagés, et que cette grande hétérogénéité des concepts soulève des problèmes majeurs, non seulement méthodologiques, mais surtout épistémologiques et théoriques.

Le réalisme scientifique et la métaphysique des sciences

Résumé: Cet article prend pour point de départ les réponses réalistes majeures aux défis de la sous-détermination et de l'incommensurabilité. Ces réponses servent de base épistémologique au projet visant à construire une métaphysique des sciences qui réunit les connaissances scientifiques dans une conception cohérente et complète de la nature. Ce projet accorde une position privilégiée aux théories physiques fondamentales. Dans ce contexte, l'article se focalise sur les distinctions entre, d'une part, propriétés intrinsèques et relations et, d'autre part, propriétés catégoriques et propriétés causales, montrant comment les théories physiques fondamentales contemporaines soutiennent la position métaphysique du réalisme structural