Lifestyle of the Elderly Receiving Home Care in Spain

The aim of this study is to examine the lifestyle characteristics and health status of the elderly in order to identify aspects that might help promote active ageing. Participants were 26 elderly citizens aged 75 or over who were the recipients of home care services in Vilafranca del Penedès (Barcelona, Spain). They were recruited by means of convenience sampling, and a case study approach was adopted. Fieldwork was conducted in April 2007, with a specially designed questionnaire administered in the context of an in-depth interview. Quantitative data were analyzed with SPSS 15, while qualitative data were analysed and grouped by category. The results indicated that 53.8% of the elderly interviewees perceived their health status as being regular, most did not have adequate nutrition and hydration, while 42.3% had chewing problems and 65.3% presented slight dependence. Most of them received visits at home, but did not go on leisure outings. The only exercise they took was walking. These findings highlight the need to promote and strengthen activities for healthy ageing, and to ensure that people over 75 receive adequate care. Programmes should be implemented to improve those aspects that are currently under-addressed.

Development of an instrument to measure the degree of critical patient's satisfaction with nursing care: research protocol

Aim: To investigate and understand patient's satisfaction with nursing care in the intensive care unit to identify the dimensions of the concept of"satisfaction" from the patient's point of view. To design and validate a questionnaire that measures satisfaction levels in critical patients. Background: There are many instruments capable of measuring satisfaction with nursing care; however, they do not address the reality for critical patients nor are they applicable in our context. Design: A dual approach study comprising: a qualitative phase employing Grounded Theory and a quantitative and descriptive phase to prepare and validate the questionnaire. Methods: Data collection in the qualitative phase will consist of: in-depth interview after theoretical sampling, on-site diary and expert discussion group. The sample size will depend on the expected theoretical saturation n = 27-36. Analysis will be based on Grounded Theory. For the quantitative phase, the sampling will be based on convenience (n = 200). A questionnaire will be designed on the basis of qualitative data. Descriptive and inferential statistics will be used. The validation will be developed on the basis of the validity of the content, the criteria of the construct and reliability of the instrument by the Cronbach's alpha and test-retest approach. Approval date for this protocol was November 2010. Discussion: Self-perceptions, beliefs, experiences, demographic, socio-cultural epistemological and political factors are determinants for satisfaction, and these should be taken into account when compiling a questionnaire on satisfaction with nursing care among critical patients.

High-performance payload data handling system for Gaia

Gaia is the most ambitious space astrometry mission currently envisaged and is a technological challenge in all its aspects. We describe a proposal for the payload data handling system of Gaia, as an example of a high-performance, real-time, concurrent, and pipelined data system. This proposal includes the front-end systems for the instrumentation, the data acquisition and management modules, the star data processing modules, and the payload data handling unit. We also review other payload and service module elements and we illustrate a data flux proposal.

High-performance payload data handling system for Gaia

Gaia is the most ambitious space astrometry mission currently envisaged and is a technological challenge in all its aspects. We describe a proposal for the payload data handling system of Gaia, as an example of a high-performance, real-time, concurrent, and pipelined data system. This proposal includes the front-end systems for the instrumentation, the data acquisition and management modules, the star data processing modules, and the payload data handling unit. We also review other payload and service module elements and we illustrate a data flux proposal.