Knowledge exchange systems for youth health and chronic disease prevention: a tri-provincial case study.

INTRODUCTION: The research teams undertook a case study design using a common analytical framework to investigate three provincial (Prince Edward Island, New Brunswick and Manitoba) knowledge exchange systems. These three knowledge exchange systems seek to generate and enhance the use of evidence in policy development, program planning and evaluation to improve youth health and chronic disease prevention. METHODS: We applied a case study design to explore the lessons learned, that is, key conditions or processes contributing to the development of knowledge exchange capacity, using a multi-data collection method to gain an in-depth understanding. Data management, synthesis and analysis activities were concurrent, iterative and ongoing. The lessons learned were organized into seven "clusters." RESULTS: Key findings demonstrated that knowledge exchange is a complex process requiring champions, collaborative partnerships, regional readiness and the adaptation of knowledge exchange to diverse stakeholders. DISCUSSION: Overall, knowledge exchange systems can increase the capacity to exchange and use evidence by moving beyond collecting and reporting data. Areas of influence included development of new partnerships, expanded knowledge-sharing activities, and refinement of policy and practice approaches related to youth health and chronic disease prevention.

TITRE: Étude sur les systèmes d'échange des connaissances pour la santé des jeunes et la prévention des maladies chroniques : étude de cas menée dans trois provinces. INTRODUCTION: Les équipes de recherche ont adopté un modèle d'étude de cas utilisant un cadre d'analyse commun dans le but d'étudier trois systèmes provinciaux (Île-du-Prince-Édouard, Nouveau-Brunswick et Manitoba) d'échange des connaissances. Ces trois systèmes visent à générer et utiliser des données probantes lors de l'élaboration des politiques, de la planification des programmes et des évaluations afin d'améliorer la santé des jeunes et de prévenir les maladies chroniques. MÉTHODOLOGIE: Nous avons appliqué un modèle d'étude de cas pour examiner en profondeur les leçons apprises (c.-à-d. les principales conditions ou les principaux processus contribuant au développement de la capacité d'échange des connaissances) à l'aide d'une méthode de collecte de données multiples. Les activités de gestion, de synthèse et d'analyse des données ont été simultanées, itératives et continues. Les leçons apprises ont été classées en sept catégories. RÉSULTATS: L'échange des connaissances est un processus complexe, qui exige des champions et des partenariats de collaboration, une adaptation aux divers intervenants et qui exige aussi que les régions soient préparées. ANALYSE: Dans l'ensemble, les systèmes d'échange des connaissances peuvent accroître la capacité d'échange et d'utilisation des données probantes en allant au-delà de la collecte et de la transmission de données. Leurs aires d'influence sont l'établissement de nouveaux partenariats, des activités élargies d'échange des connaissances et le perfectionnement des approches axées sur les politiques et les pratiques liées à la santé des jeunes et à la prévention des maladies chroniques.

Mapping infected cell phenotype.

Quantitative modeling of the phenotypic changes in the host cell during the bacterial infection makes it possible to explore an empirical relation between the infection stages and the quantifiable host-cell phenotype. A statistically reliable model of this relation can facilitate therapeutic defense against threats due to natural and genetically engineered bacterium. In the preliminary experiment, we have collected several thousand cell images over a period of 72 h of infection with a 2-h sampling frequency that covers various stages of infection by Francisella tularenesis (Ft). Segmentation of macrophages in images was accomplished using a fully automatic, parallel region growing technique. Over two thousand feature descriptors for the host cell were calculated. Multidimensional scaling, followed by hierarchical clustering, was used to group the cells. Preliminary results show that the host-cell phenotype, as defined by the set of measureable features, groups into different classes that can be mapped to the stages of infection.

Computerization of a hospital waiting-list.

St Vincent's Hospital, Melbourne, is a 600-bed acute teaching hospital with an active waiting list. The software for a stand-alone, single-user microcomputer was developed in-house. The methods, advantages and problems that are associated with the system are presented.