Relatório de estágio em terapia manual ortopédica

Este estudo visa descrever o caso de um paciente de 63 anos que recorreu aos serviços de Fisioterapia após uma crise de lombalgia com 3 dias de evolução. O doente apresentava dor intensa situada entre a zona lombar e sacro-ilíaca direita (7/10-EVA), irradiando pelas cristas ilíacas, virilha e face anterior da coxa direita. A intervenção dividiu-se em duas fases: aguda e sub-aguda. A primeira exigiu uma abordagem limitada e essencialmente orientada para a mecânica articular, em que foram utilizadas técnicas de terapia manual. A segunda, com um quadro clínico menos doloroso, permitiu avaliar o comprometimento de outras estruturas, nomeadamente miofasciais e neurológicas. Entre as várias etiologias possíveis, foram encontrados sinais e sintomas consistentes com síndroma miofascial do músculo Psoas ilíaco. A intervenção incluiu técnicas de terapia manual, exercício terapêutico e educação do paciente. No final de 9 semanas de tratamento o paciente mantém limitações mínimas relacionadas com a mecânica articular que se traduzem pela sensibilidade em L4-L5 (3/10), e observa-se uma atitude menos sedentária comparativamente ao que se apurou antes desta ocorrência. A abordagem terapêutica foi fundamentada pela anatomia, biomecânica e raciocínio clínico, tendo em conta a evidência científica, experiência clínica e factores psico-sociais.

Efectividade de um programa de fisioterapia na radiculopatia cervical – estudo de caso

Introdução: Não existe um consenso quanto ao melhor tratamento para a radiculopatia cervical pois existe uma grande variedade de manifestações clínicas e opções terapêuticas, mas a sua selecção vai depender do caso particular do utente, sugerindo assim uma correcta avaliação do Fisioterapeuta. Objectivo: Este estudo pretende descrever e avaliar a efectividade de um programa de Fisioterapia num caso de radiculopatia cervical, na dor, funcionalidade e percepção da qualidade de vida. Participantes e Métodos: Estudo observacional descritivo tipo estudo de caso de um utente de 56 anos de idade, com radiculopatia cervical. Para a avaliação foram utilizados testes ortopédicos, a escala visual analógica e os questionários de incapacidade funcional da cervical e do membro superior bem como da percepção da qualidade de vida. Estes questionários foram aplicados em 3 momentos, antes da intervenção, no final e após 6 semanas e os restantes instrumentos foram utilizados em diversos momentos ao longo da intervenção. Esta foi efectuada duas vezes por semana, ao longo de 10 semanas recorrendo a técnicas de terapia manual, exercícios de controlo motor e educação do utente. Resultados: Verificou-se que a dor na cervical passou de 6,5 para 2/10 EVA e no cotovelo direito de 7,3 para 2/10. A resposta ao questionário de incapacidade funcional na cervical variou de 40% no primeiro momento para 11,1% no segundo, o da incapacidade funcional do membro superior variou de 63,6% para 33,5% e o questionário da percepção da qualidade de vida variou de 55,01 para 68,69. Seis semanas após a intervenção, todos estes resultados se mantinham praticamente inalterados. Conclusão: Este caso permitiu demonstrar o processo de raciocínio clínico efectuado ao longo de dez semanas de intervenção em que se utilizou uma abordagem centrada no utente, baseada na evidência científica e na experiência clínica anterior. Os resultados alcançados foram de encontro às expectativas iniciais e parecem evidenciar que, neste caso, o programa de fisioterapia teve efeitos positivos na dor, funcionalidade e percepção da qualidade de vida.

Improving the learning experience and learning environment of adults in Higher Education – Project LIHE: the Portuguese case

Project LIHE: the Portuguese Case. ESREA Fourth Access Network Conference – “Equity, Access and Participation: Research, Policy and Practice”. Edinburgh (Scotland), 11 – 13 December, 2003.

Machine Learning Algorithms at Myocardial Perfusion Imaging - a Preliminary Study

Introduction: A major focus of data mining process - especially machine learning researches - is to automatically learn to recognize complex patterns and help to take the adequate decisions strictly based on the acquired data. Since imaging techniques like MPI – Myocardial Perfusion Imaging on Nuclear Cardiology, can implicate a huge part of the daily workflow and generate gigabytes of data, there could be advantages on Computerized Analysis of data over Human Analysis: shorter time, homogeneity and consistency, automatic recording of analysis results, relatively inexpensive, etc.Objectives: The aim of this study relates with the evaluation of the efficacy of this methodology on the evaluation of MPI Stress studies and the process of decision taking concerning the continuation – or not – of the evaluation of each patient. It has been pursued has an objective to automatically classify a patient test in one of three groups: “Positive”, “Negative” and “Indeterminate”. “Positive” would directly follow to the Rest test part of the exam, the “Negative” would be directly exempted from continuation and only the “Indeterminate” group would deserve the clinician analysis, so allowing economy of clinician’s effort, increasing workflow fluidity at the technologist’s level and probably sparing time to patients. Methods: WEKA v3.6.2 open source software was used to make a comparative analysis of three WEKA algorithms (“OneR”, “J48” and “Naïve Bayes”) - on a retrospective study using the comparison with correspondent clinical results as reference, signed by nuclear cardiologist experts - on “SPECT Heart Dataset”, available on University of California – Irvine, at the Machine Learning Repository. For evaluation purposes, criteria as “Precision”, “Incorrectly Classified Instances” and “Receiver Operating Characteristics (ROC) Areas” were considered. Results: The interpretation of the data suggests that the Naïve Bayes algorithm has the best performance among the three previously selected algorithms. Conclusions: It is believed - and apparently supported by the findings - that machine learning algorithms could significantly assist, at an intermediary level, on the analysis of scintigraphic data obtained on MPI, namely after Stress acquisition, so eventually increasing efficiency of the entire system and potentially easing both roles of Technologists and Nuclear Cardiologists. In the actual continuation of this study, it is planned to use more patient information and significantly increase the population under study, in order to allow improving system accuracy.

Metacognitive and social cognition training (MSCT) in schizophrenia: a preliminary efficacy study

Psychosocial interventions have proven to be effective in treating social cognition in people with psychotic disorders. The current study aimed to determine the effects of a metacognitive and social cognition training (MSCT) program, designed to both remediate deficits and correct biases in social cognition. Thirty-five clinically stable outpatients were recruited and assigned to the MSCT program (n = 19) for 10 weeks (18 sessions) or to the TAU group (n = 16), and they all completed pre- and post-treatment assessments of social cognition, cognitive biases, functioning and symptoms. The MSCT group demonstrated a significant improvement in theory of mind, social perception, emotion recognition and social functioning. Additionally, the tendency to jump to conclusions was significantly reduced among the MSCT group after training. There were no differential benefits regarding clinical symptoms except for one trend group effect for general psychopathology. The results support the efficacy of the MSCT format, but further development of the training program is required to increase the benefits related to attributional style.

Motivations to participate in international trade fairs: the Portuguese experience

Motivations/barriers to participate in ITF

Post-MAPS: An interactive acquisition platform for gastroenterology

Post-MAPS is a web platform that collects gastroenterological exam data from several european hospital centers, to be used in future clinical studies and was developed in partnership with experts from the gastroenterological area and information technology (IT) technicians. However, although functional, this platform has some issues that are crucial for its functioning, and can render user interaction unpleasant and exhaustive. Accordingly, we proposed the development of a new web platform, in which we aimed for an improvement in terms of usability, data uni cation and interoperability. Therefore, it was necessary to identify and study different ways of acquiring clinical data and review some of the existing clinical databases in order to understand how they work and what type of data they store, as well as their impact and contribution to clinical knowledge. Closely linked to the data model is the ability to share data with other systems, so, we also studied the concept of interoperability and analyzed some of the most widely used international standards, such as DICOM, HL7 and openEHR. As one of the primary objectives of this project was to achieve a better level of usability, practices related to Human Computer-Interaction, such as requirement analysis, creation of conceptual models, prototyping, and evaluation were also studied. Before we began the development, we conducted an analysis of the previous platform, from a functional point of view, which allowed us to gather not only a list of architectural and interface issues, but also a list of improvement opportunities. It was also performed a small preliminary study in order to evaluate the platform's usability, where we were able to realize that perceived usability is different between users, and that, in some aspects, varies according to their location, age and years of experience. Based on the information gathered during the platform's analysis and in the conclusions of the preliminary study, a new platform was developed, prepared for all potential users, from the inexperienced to the most comfortable with technology. It presents major improvements in terms of usability, also providing several new features that simplify the users' work, improving their interaction with the system, making their experience more enjoyable.