Health Problems of Institutionalized Elderly

Introduction: human aging is marked by a decrease in the performance of some daily tasks, some even considered banal and imperceptibly when this limitation is followed by chronic diseases, the elderly becomes a source of concern for the family. Objective: identifying the health problems of the elderly living in long-stay institutions from self-reported diseases. This is a descriptive and quantitative study, conducted in northeastern Brazil capital, involving 138 elderly. For data collection we used a questionnaire containing demographic variables, institutional and related to self-reported health problems. Data were evaluated using bivariate analysis and association chi-square. Results: predominance of women was found (61.6%), aged 60-69 years old (39.1%), coming from the state capital (51.4%), and institutional permanence time between 1-5 years (77.5%). The most frequent diseases were related to the cardiovascular system (15.9%) and endocrine, nutritional and metabolic diseases (9.4%). It showed a significant association between self-reported diseases and the age of the elderly (p=0.047). Conclusion: it is expected to raise awareness among health professionals to provide a better assistance to the institutionalized elderly focusing on the real needs of these persons.

Waiting Time Screening in Diagnostic Medical Imaging - A Case-Based View

Due to the high standards expected from diagnostic medical imaging, the analysis of information regarding waiting lists via different information systems is of utmost importance. Such analysis, on the one hand, may improve the diagnostic quality and, on the other hand, may lead to the reduction of waiting times, with the concomitant increase of the quality of services and the reduction of the inherent financial costs. Hence, the purpose of this study is to assess the waiting time in the delivery of diagnostic medical imaging services, like computed tomography and magnetic resonance imaging. Thereby, this work is focused on the development of a decision support system to assess waiting times in diagnostic medical imaging with recourse to operational data of selected attributes extracted from distinct information systems. The computational framework is built on top of a Logic Programming Case-base Reasoning approach to Knowledge Representation and Reasoning that caters for the handling of in-complete, unknown, or even self-contradictory information.