Estudo das vias de acesso aos cuidados psiquiátricos na equipa de Sintra

Resumo: O estudo das vias de acesso à consulta de Psiquiatria permite identificar os parceiros mais importantes no acesso dos utentes aos serviços psiquiátricos. O modelo de Goldberg-Huxley considera que o acesso às consultas de Psiquiatria se faz principalmente através dos cuidados de saúde primários. Material e Métodos: Para estudar as vias de acesso aos cuidados psiquiátricos utilizamos a Encounter Form, questionário desenvolvido por Gater. Foi também avaliada a classe social dos utentes utilizando a Escala de Graffar. Este inquérito foi passado na Consulta de Psiquiatria de Sintra a utentes de primeira consulta. A amostra estudada foi de 93 utentes. O objectivo do estudo foi conhecer a trajectória do utente desde que teve necessidade de ser consultado até chegar à consulta de Psiquiatria, os sintomas que determinaram a decisão de procurar ajuda e a influência da classe social no tempo de percurso. Resultados: Observa-se que os utentes passam pela Medicina Geral e Familiar em 71 % dos casos, pela Urgência Psiquiátrica em 16,1 % dos casos, pela Medicina Especializada Hospitalar em 10,7 % dos casos e pela Urgência Geral em 1,1 % dos casos. Na escala de Graffar a classe social prevalente é a média (Classe III). O tempo de percurso foi maior que em estudo similar realizado em 1991. A classe Social III foi a que teve tempo de percurso maior. Conclusões: O estudo conclui que o acesso a esta consulta de Psiquiatria se faz principalmente através da Medicina Geral e Familiar. O tempo de percurso é maior que o desejável por falta de recursos humanos.------- ABSTRACT: Introduction: The study of the Pathways to Psychiatric Care identifies the most important partners in accessing psychiatric services. The Goldberg- Huxley model believes that access to Psychiatric consultation is done preferably through the primary health care. Material and Methods: This survey included 93 first-time users of the Psychiatric Consultation of Sintra. The aim was to study the trajectory of the user since he had felt a need to be consulted until the consultation of Psychiatry, the symptoms that led to the decision to seek help and influence of social class in time spent in pathways. This study used the Encounter Form, a questionnaire developed by Gater. Social class of users was also assessed using the Scale of Graffar. Results: We observed that users have contact with General Practitionaires in 71% of cases, the Psychiatric Urgency in 16.1% of cases, the Hospital Medical Specialist in 10.7% of cases and the General Urgency in 1,1% of cases. On the Graffar scale middle class (Class III) was the most prevalent. The travel time spend in pathways was reater than that obtained in a similar study carried out in 1991. Social Class III group had a greater time spent on pathways. Conclusions: The study concludes that access to this Psychiatric consultation is principally through general practice. The time spent in pathways is greater than desirable due to lack of resources.

Estimation of vegetation carbon stock in Portugal using land use/ land cover data

Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies

Comparative analysis of time-frequency methods estimating the time-varying microstructure of sleep EEG spindles

Proceedings of the Information Technology Applications in Biomedicine, Ioannina - Epirus, Greece, October 26-28, 2006

Potential dementia biomarkers based on the time-varying microstructure of sleep EEG spindles

Proceedings of the 29th Annual International Conference of the IEEE EMBS Cité Internationale, Lyon, France August 23-26, 2007

Estimation of infection rate in epidemic models with multiple populations

Dissertação para obtenção do Grau de Mestre em Matemática e Aplicações Especialização em Actuariado, Estatística e Investigação Operacional

Structural time series models and the Kalman filter: A concise review

The continued increase in availability of economic data in recent years and, more importantly, the possibility to construct larger frequency time series, have fostered the use (and development) of statistical and econometric techniques to treat them more accurately. This paper presents an exposition of structural time series models by which a time series can be decomposed as the sum of a trend, seasonal and irregular components. In addition to a detailled analysis of univariate speci fications we also address the SUTSE multivariate case and the issue of cointegration. Finally, the recursive estimation and smoothing by means of the Kalman filter algorithm is described taking into account its different stages, from initialisation to parameter s estimation.

Electrohysterogram signal component cataloging with spectral and time-frequency methods

The Electrohysterogram (EHG) is a new instrument for pregnancy monitoring. It measures the uterine muscle electrical signal, which is closely related with uterine contractions. The EHG is described as a viable alternative and a more precise instrument than the currently most widely used method for the description of uterine contractions: the external tocogram. The EHG has also been indicated as a promising tool in the assessment of preterm delivery risk. This work intends to contribute towards the EHG characterization through the inventory of its components which are: • Contractions; • Labor contractions; • Alvarez waves; • Fetal movements; • Long Duration Low Frequency Waves; The instruments used for cataloging were: Spectral Analysis, parametric and non-parametric, energy estimators, time-frequency methods and the tocogram annotated by expert physicians. The EHG and respective tocograms were obtained from the Icelandic 16-electrode Electrohysterogram Database. 288 components were classified. There is not a component database of this type available for consultation. The spectral analysis module and power estimation was added to Uterine Explorer, an EHG analysis software developed in FCT-UNL. The importance of this component database is related to the need to improve the understanding of the EHG which is a relatively complex signal, as well as contributing towards the detection of preterm birth. Preterm birth accounts for 10% of all births and is one of the most relevant obstetric conditions. Despite the technological and scientific advances in perinatal medicine, in developed countries, prematurity is the major cause of neonatal death. Although various risk factors such as previous preterm births, infection, uterine malformations, multiple gestation and short uterine cervix in second trimester, have been associated with this condition, its etiology remains unknown [1][2][3].

Frequency-domain receiver design for doubly-selective channels

This work is devoted to the broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility. In order to cope with doubly-selective channels, receiver structures based on OFDM and SC-FDE block transmission techniques, are proposed, which allow cost-effective implementations, using FFT-based signal processing. The first subject to be addressed is the impact of the number of multipath components, and the diversity order, on the asymptotic performance of OFDM and SC-FDE, in uncoded and for different channel coding schemes. The obtained results show that the number of relevant separable multipath components is a key element that influences the performance of OFDM and SC-FDE schemes. Then, the improved estimation and detection performance of OFDM-based broadcasting systems, is introduced employing SFN (Single Frequency Network) operation. An initial coarse channel is obtained with resort to low-power training sequences estimation, and an iterative receiver with joint detection and channel estimation is presented. The achieved results have shown very good performance, close to that with perfect channel estimation. The next topic is related to SFN systems, devoting special attention to time-distortion effects inherent to these networks. Typically, the SFN broadcast wireless systems employ OFDM schemes to cope with severely time-dispersive channels. However, frequency errors, due to CFO, compromises the orthogonality between subcarriers. As an alternative approach, the possibility of using SC-FDE schemes (characterized by reduced envelope fluctuations and higher robustness to carrier frequency errors) is evaluated, and a technique, employing joint CFO estimation and compensation over the severe time-distortion effects, is proposed. Finally, broadband mobile wireless systems, in which the relative motion between the transmitter and receiver induces Doppler shift which is different or each propagation path, is considered, depending on the angle of incidence of that path in relation to the direction of travel. This represents a severe impairment in wireless digital communications systems, since that multipath propagation combined with the Doppler effects, lead to drastic and unpredictable fluctuations of the envelope of the received signal, severely affecting the detection performance. The channel variations due this effect are very difficult to estimate and compensate. In this work we propose a set of SC-FDE iterative receivers implementing efficient estimation and tracking techniques. The performance results show that the proposed receivers have very good performance, even in the presence of significant Doppler spread between the different groups of multipath components.