78 resultados para community-based monitoring

em QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast


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This paper describes an early career researcher's expereince of using randomised controlled trial methodology to investigarte the effectiveness of psychotherapeutic interventions for traumatised families in a 'real world' setting.

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Background: Uptake of influenza vaccination represents a simple marker of proactive care of older people. However, many still do not receive the vaccine. To understand this challenge better, we investigated the relationship between patient characteristics (demographic, physical and psychological health, and health service use) and vaccination uptake in a sample of community-dwelling older people in two adjacent but differently structured healthcare systems (Northern Ireland (NI) and the Republic of Ireland (RoI)). Methods: 2,033 randomly selected community-dwelling older adults (65 years and older) were interviewed in their homes. Results: Rates of uptake were 78% in NI and 72% in RoI. Uptake was greater with older age (odds ratio (OR) 1.6, 95% confidence interval (CI) = 1.3-2.1, p

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This article examines the impact of a community-based adult education initiative designed to target social need in Northern Ireland. Set against a backdrop of extreme civil unrest and disadvantageous socio-economic conditions a cohort of adults was identified to participate in a personal and social development programme. The initiative was funded from Peace and Reconciliation resources made available to Northern Ireland by the European Union. High levels of unemployment and negativity about previous learning experiences were characteristic features among participants. An evaluation of the effectiveness of the programme was carried out and a follow-up qualitative survey ensued 6 months after the completion of the training. Results indicate that the learner-centred methodology was effective in providing a gateway to further education and training and enhancing participants' self-esteem, confidence, motivation, tolerance, social skills, community involvement and

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The monitoring of multivariate systems that exhibit non-Gaussian behavior is addressed. Existing work advocates the use of independent component analysis (ICA) to extract the underlying non-Gaussian data structure. Since some of the source signals may be Gaussian, the use of principal component analysis (PCA) is proposed to capture the Gaussian and non-Gaussian source signals. A subsequent application of ICA then allows the extraction of non-Gaussian components from the retained principal components (PCs). A further contribution is the utilization of a support vector data description to determine a confidence limit for the non-Gaussian components. Finally, a statistical test is developed for determining how many non-Gaussian components are encapsulated within the retained PCs, and associated monitoring statistics are defined. The utility of the proposed scheme is demonstrated by a simulation example, and the analysis of recorded data from an industrial melter.

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As a clinically complex neurodegenerative disease, Parkinson's disease (PD) requires regular assessment and close monitoring. In our current study, we have developed a home-based tool designed to monitor and assess peripheral motor symptoms. An evaluation of the tool was carried out over a period of ten weeks on ten people with idiopathic PD. Participants were asked to use the tool twice daily over four days, once when their medication was working at its best (