3 resultados para service users

em CORA - Cork Open Research Archive - University College Cork - Ireland


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Psychiatric nurses have been facilitating therapeutic groups in acute psychiatric inpatient units for many years; however, there is a lack of nursing research related to this important aspect of care. This paper reports the findings of a study which aimed to gain an understanding of service users' experiences in relation to therapeutic group activities in an acute inpatient unit. A qualitative descriptive study was undertaken with eight service users in one acute psychiatric inpatient unit in Ireland. Data were collected using in-depth semi-structured interviews and analysed using Burnard's method of thematic content analysis. Several themes emerged from the findings which are presented in this paper.

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This report details the findings of research undertaken with family carers in Cork during 2007 – 2008. The research was undertaken to elicit the views and experiences of family carers, and in so doing, to gain insight into their perspectives on family caring and on associated support mechanisms. It is hoped that, thereafter, policy can draw on these observations. Three key themes emerged from the research itself. These are (i) the role and position of the family carer in society, (ii) the process of family caring itself and (iii) access to and knowledge of key support services. This report, then, draws attention to the extent and dynamics of family caring, as seen through the opinions and experiences of carers located in and nearby Cork city. It has the following format. In the first instance we turn our attention to a discussion of family caring in Ireland, and associated supports more generally. This includes a discussion on key issues arising in the general discourse around family caring in Ireland and internationally, in order to provide a context from which to locate the experiences of carers involved in this research study. Thereafter, we detail the methodology employed in this research study, which followed a method of research enquiry that values the input of participants from the early stages of research focus and design, and which incorporates qualitative and quantitative methods of enquiry. The research was conceptualised and developed in conjunction with The Carers Association, Cork in keeping with an approach to social research that attempts to link academic and activist/advocacy interests. Its aims were to identify issues that family carers in the locality considered important, with a view to contributing to local knowledge, providing a forum for ongoing research, and to informing policy developments on carers. The focus of the report then turns to profiling carers who participated in the research, examining the care they provide, and discussing support they receive from family, friends and neighbours – from informal sources. We then look to the access carers have to formal and public, community-based support services. We examine their experiences of, and concerns with regard to some of these key services, and look at ways that such issues might be addressed. The next section concentrates on financial supports, a range of which are available to carers, for instance, to supplement income and to assist with home renovations. We look at their uptake and issues arising, again with a view to understanding and addressing them from the perspectives of the service users. Finally, the report turns its attention to aspirations that carers have for themselves; in terms of their own personal, training, and employment options. The report concludes by drawing attention to key issues discussed throughout and makes a number of key recommendations, aimed at addressing the voiced opinions and experiences of carers that have emerged through the research.

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Predicting user behaviour enables user assistant services provide personalized services to the users. This requires a comprehensive user model that can be created by monitoring user interactions and activities. BaranC is a framework that performs user interface (UI) monitoring (and collects all associated context data), builds a user model, and supports services that make use of the user model. A prediction service, Next-App, is built to demonstrate the use of the framework and to evaluate the usefulness of such a prediction service. Next-App analyses a user's data, learns patterns, makes a model for a user, and finally predicts, based on the user model and current context, what application(s) the user is likely to want to use. The prediction is pro-active and dynamic, reflecting the current context, and is also dynamic in that it responds to changes in the user model, as might occur over time as a user's habits change. Initial evaluation of Next-App indicates a high-level of satisfaction with the service.