555 resultados para medical student
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OBJECTIVES: To identify the prevalence of geriatric syndromes in the premorbid for all syndromes except falls (preadmission), admission, and discharge assessment periods and the incidence of new and significant worsening of existing syndromes at admission and discharge. DESIGN: Prospective cohort study. SETTING: Three acute care hospitals in Brisbane, Australia. PARTICIPANTS: Five hundred seventy-seven general medical patients aged 70 and older admitted to the hospital. MEASUREMENTS: Prevalence of syndromes in the premorbid (or preadmission for falls), admission, and discharge periods; incidence of new syndromes at admission and discharge; and significant worsening of existing syndromes at admission and discharge. RESULTS: The most frequently reported premorbid syndromes were bladder incontinence (44%), impairment in any activity of daily living (ADL) (42%). A high proportion (42%) experienced at least one fall in the 90 days before admission. Two-thirds of the participants experienced between one and five syndromes (cognitive impairment, dependence in any ADL item, bladder and bowel incontinence, pressure ulcer) before, at admission, and at discharge. A majority experienced one or two syndromes during the premorbid (49.4%), admission (57.0%), or discharge (49.0%) assessment period.The syndromes with a higher incidence of significant worsening at discharge (out of the proportion with the syndrome present premorbidly) were ADL limitation (33%), cognitive impairment (9%), and bladder incontinence (8%). Of the syndromes examined at discharge, a higher proportion of patients experienced the following new syndromes at discharge (absent premorbidly): ADL limitation (22%); and bladder incontinence (13%). CONCLUSION: Geriatric syndromes were highly prevalent. Many patients did not return to their premorbid function and acquired new syndromes.
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Tort law reform has resulted in legislation being passed by all Australian jurisdictions in the past decade implementing the recommendations contained in the Ipp Report. The report was in response to a perceived crisis in medical indemnity insurance. The objective was to restrict and limit liability in negligence actions. This paper will consider to what extent the reforms have impacted on the liability of health professionals in medical negligence actions. After an analysis of the legislation, it will be argued in this paper that while there has been some limitation and restriction, courts have generally interpreted the civil liability reforms in compliance with the common law. It has been the impact of statutory limits on the assessment of damages through thresholds and caps which has limited the liability of health professionals in medical negligence actions.
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This paper closely examines factors affecting students’ progression in their engineering programs through fieldwork conducted at three Australian universities. To extract clues on how specific teaching methods can be used to maximize learning, the investigation considered factors such as understanding how students take in, process and present information. A number of focus groups were conducted with students and the data gathered was combined with survey results of students’ and academics’ learning styles. The paper reports on the process followed, and provides some analysis of the gathered data, as part of an Australian Learning and Teaching Council, ALTC, Associate Fellowship program.
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ORIGO Stepping Stones gives mathematics teachers the best of both worlds by delivering lessons and teacher guides on a digital platform blended with the more traditional printed student journals. This uniquely interactive program allows students to participate in exciting learning activites whilst still allowing the teacher to maintain control of learning outcomes. It is the first program in Australia to give teachers activities to differentiate instruction within each lesson and across school years. Written by a team of Australia's leading mathematics educators, this program integrates key research findings in a practical sequence of modules and lessons providing schools with a step-by-step approach to the new curriculum. Click links on the right to explore the program.
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"ORIGO Stepping Stones gives mathematics teachers the best of both worlds by delivering lessons and teacher guides on a digital platform blended with the more traditional printed student journals." -- Publisher website
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"ORIGO Stepping Stones gives mathematics teachers the best of both worlds by delivering lessons and teacher guides on a digital platform blended with the more traditional printed student journals." -- Publisher website
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"ORIGO Stepping Stones gives mathematics teachers the best of both worlds by delivering lessons and teacher guides on a digital platform blended with the more traditional printed student journals." -- Publisher website
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In Chapter 10, Adam and Dougherty describe the application of medical image processing to the assessment and treatment of spinal deformity, with a focus on the surgical treatment of idiopathic scoliosis. The natural history of spinal deformity and current approaches to surgical and non-surgical treatment are briefly described, followed by an overview of current clinically used imaging modalities. The key metrics currently used to assess the severity and progression of spinal deformities from medical images are presented, followed by a discussion of the errors and uncertainties involved in manual measurements. This provides the context for an analysis of automated and semi-automated image processing approaches to measure spinal curve shape and severity in two and three dimensions.
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Mixture models are a flexible tool for unsupervised clustering that have found popularity in a vast array of research areas. In studies of medicine, the use of mixtures holds the potential to greatly enhance our understanding of patient responses through the identification of clinically meaningful clusters that, given the complexity of many data sources, may otherwise by intangible. Furthermore, when developed in the Bayesian framework, mixture models provide a natural means for capturing and propagating uncertainty in different aspects of a clustering solution, arguably resulting in richer analyses of the population under study. This thesis aims to investigate the use of Bayesian mixture models in analysing varied and detailed sources of patient information collected in the study of complex disease. The first aim of this thesis is to showcase the flexibility of mixture models in modelling markedly different types of data. In particular, we examine three common variants on the mixture model, namely, finite mixtures, Dirichlet Process mixtures and hidden Markov models. Beyond the development and application of these models to different sources of data, this thesis also focuses on modelling different aspects relating to uncertainty in clustering. Examples of clustering uncertainty considered are uncertainty in a patient’s true cluster membership and accounting for uncertainty in the true number of clusters present. Finally, this thesis aims to address and propose solutions to the task of comparing clustering solutions, whether this be comparing patients or observations assigned to different subgroups or comparing clustering solutions over multiple datasets. To address these aims, we consider a case study in Parkinson’s disease (PD), a complex and commonly diagnosed neurodegenerative disorder. In particular, two commonly collected sources of patient information are considered. The first source of data are on symptoms associated with PD, recorded using the Unified Parkinson’s Disease Rating Scale (UPDRS) and constitutes the first half of this thesis. The second half of this thesis is dedicated to the analysis of microelectrode recordings collected during Deep Brain Stimulation (DBS), a popular palliative treatment for advanced PD. Analysis of this second source of data centers on the problems of unsupervised detection and sorting of action potentials or "spikes" in recordings of multiple cell activity, providing valuable information on real time neural activity in the brain.
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This paper examines discussions of Generation Y within higher education discourse, arguing the sector’s use of the term to describe students is misguided for three reasons. First, portraying students as belonging to Generation Y homogenises people undertaking higher education as young, middle-class and technologically literate. Second, speaking of Generation Y students allows constructivism to be reinvented as a ‘new’ learning and teaching philosophy. Third, the Generation Y university student has become a central figure in concerns about technology’s role in learning and teaching. While the notion of the ‘Generation Y student’ creates the illusion that higher education institutions understand their constituents, ultimately, it is of little value in explaining young adults’ educational experiences.