9,776 research outputs found
Hypothesis exploration with visualization of variance.
Get PDFBackgroundThe Consortium for Neuropsychiatric Phenomics (CNP) at UCLA was an investigation into the biological bases of traits such as memory and response inhibition phenotypes-to explore whether they are linked to syndromes including ADHD, Bipolar disorder, and Schizophrenia. An aim of the consortium was in moving from traditional categorical approaches for psychiatric syndromes towards more quantitative approaches based on large-scale analysis of the space of human variation. It represented an application of phenomics-wide-scale, systematic study of phenotypes-to neuropsychiatry research.ResultsThis paper reports on a system for exploration of hypotheses in data obtained from the LA2K, LA3C, and LA5C studies in CNP. ViVA is a system for exploratory data analysis using novel mathematical models and methods for visualization of variance. An example of these methods is called VISOVA, a combination of visualization and analysis of variance, with the flavor of exploration associated with ANOVA in biomedical hypothesis generation. It permits visual identification of phenotype profiles-patterns of values across phenotypes-that characterize groups. Visualization enables screening and refinement of hypotheses about variance structure of sets of phenotypes.ConclusionsThe ViVA system was designed for exploration of neuropsychiatric hypotheses by interdisciplinary teams. Automated visualization in ViVA supports 'natural selection' on a pool of hypotheses, and permits deeper understanding of the statistical architecture of the data. Large-scale perspective of this kind could lead to better neuropsychiatric diagnostics
A New Economic and Social Paradigm for Funding Recovery in Mental Health in the Twenty First Century
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Parties and Offenses in the Military Justice System: Court-Martial Jurisdiction
Get PDFUnited States Court of Military Appeals: A Review of the 1975-76 Term
Workforce issues in nursing in Queensland: 2001 and 2004
Get PDF[Abstract]: Aims and objectives: The aim of the study was to identify the factors impacting upon nursing work and to use the results to inform strategic planning of the Queensland Nurses Union.
Background: In 2001 and 2004, a study was undertaken to gather data on the level of satisfaction of nurses with their working life. This paper reports the 2004 results on workload, skill mix, remuneration and morale. Where applicable, the results are compared to 2001 data.
Methods: A questionnaire was mailed to 3000 Assistants-in-Nursing, Enrolled and Registered Nurses in October 2004. All participants were members of the Queensland Nurses Union. The results are reported in three sectors – public, private and aged care. A total of 1349 nurses responded to the survey, a response rate of 45%.
Results: Nurses in the 2004 study believed: their workload was heavy; their skills and experience poorly rewarded; work stress was high; morale was perceived to be poor and, similar to 2001, deteriorating; the skill mix was often inadequate; and the majority of nurses are unable to complete their work in the time available. Nursing morale was found to be associated with autonomy, workplace equipment, workplace safety, teamwork, work stress, the physical demand of nursing work, workload, rewards for skills and experience, career prospects, status of nursing, and remuneration.
Conclusion: Overall the findings of the study are consistent with those determined by the 2001 survey.
Relevance to clinical practice. The findings of this study indicate the importance of factors such as workplace autonomy, teamwork, the levels of workplace stress, workload and remuneration on nursing morale. The data also indicate that workplace safety and workplace morale are linked. These findings provide information for policy makers and nurse managers on areas that need to be addressed to retain nurses within aged care, acute hospital and community nursing
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