7 resultados para Multi-criteria decision analysis (MCDA)

em University of Queensland eSpace - Australia


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The aim of this study was to investigate the beliefs that patients with advanced cancer held about the curability of their cancer, their use of alternatives to conventional medical treatment, and their need to have control over decisions about treatment. Of 149 patients who fulfilled the criteria for participation and completed a self-administered questionnaire, 45 patients (31%) believed their cancer was incurable, 61 (42%) were uncertain and 39 (27%) believed their cancer was curable. The index of need for control over treatment decisions was low in 53 patients (35.6%) and high in only 17 patients (11.4%). Committed users of alternatives to conventional medical treatments were more likely to believe that their cancer was curable (P

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There is a substantial body of work in the scientific literature discussing the role of risk-taking behavior in the causation of injury. Despite the quantity of diverse writings on the subject most is in the form of theoretical commentaries. This review was conducted to critically assess the empirical evidence supporting the association between injury and risk-taking behavior. The review found six case-control studies and one retrospective cohort study, which met all the inclusion criteria. Meta-analysis was not possible due to the diversity of the independent and outcome variables in each of the studies reviewed. Overall the review found that risk-taking behavior, however it is measured, is associated with an increased chance of sustaining an injury except in the case of high skilled, risk-taking sports where the effect may be in the other direction. Drawing specific conclusions from the research presented in this review is difficult without an agreed conceptual framework for examining risk-taking behavior and injury. Considerable work needs to be done to provide a convincing evidence base on which to build public health interventions around risk behavior. However, sufficient evidence exists to suggest that effort in this area may be beneficial for the health of the community. (C) 2003 Elsevier Science Ltd. All rights reserved.

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Drawing on extensive academic research and theory on clusters and their analysis, the methodology employed in this pilot study (sponsored by the Welsh Assembly Government’s Economic Research Grants Assessment Board) seeks to create a framework for reviewing and monitoring clusters in Wales on an ongoing basis, and generate the information necessary for successful cluster development policy to occur. The multi-method framework developed and tested in the pilot study is designed to map existing Welsh sectors with cluster characteristics, uncover existing linkages, and better understand areas of strength and weakness. The approach adopted relies on synthesising both quantitative and qualitative evidence. Statistical measures, including the size of potential clusters, are united with other evidence on input-output derived inter-linkages within clusters and to other sectors in Wales and the UK, as well as the export and import intensity of the cluster. Multi Sector Qualitative Analysis is then designed for competencies/capacity, risk factors, markets, types and crucially, the perceived strengths of cluster structures and relationships. The approach outlined above can, with the refinements recommended through the review process, provide policy-makers with a valuable tool for reviewing and monitoring individual sectors and ameliorating problems in sectors likely to decline further.