Avaliação económica da vacinação contra o vírus do papiloma humano 16 e 18 (CERVARIX®) : análise de custo-utilidade e custo-efetividade em mulheres dos 26 aos 55 anos em Portugal

RESUMO - O cancro do colo útero representa um importante problema de saúde pública em Portugal: é o terceiro cancro mais frequente nas mulheres entre os 15 e os 44 anos, originando a morte de 346 mulheres anualmente. Contudo, esta patologia é altamente evitável, nomeadamente, através da imunização contra a infeção HPV, que é a causa necessária para o desenvolvimento do cancro. A elevada prevalência da infeção em mulheres mais velhas sugere que a vacinação poderá ser uma estratégia custo-efetiva mesmo numa faixa etária superior. Para que seja racionalmente ponderada a comparticipação da vacina nestas mulheres é necessária a realização de um estudo fármaco-económico que comprove o custo-efetividade desta intervenção, já que o seu financiamento atual prevê apenas as mulheres não abrangidas pelo Programa Nacional de Vacinação, dos 18 aos 25 anos. Os objetivos do trabalho são realizar uma revisão da literatura sobre estudos de avaliação económica relativos à prevenção do CCU e avaliar a relação de custo-efetividade de vacinar mulheres contra o HPV entre os 26 e os 55 anos em comparação com a prática clínica corrente, em Portugal. É utilizado o Modelo Global Cervarix® e realiza-se uma análise de custo-utilidade e de custo-efetividade. Os resultados demonstraram que a vacinação em mulheres dos 26 aos 45 anos poderá ser uma opção custo-efetiva, permitindo um aumento de anos de vida, uma diminuição dos casos e mortes por CCU e um incremento de QALYs. O RCEI variou entre 7.914€/QALY e 29.049€/QALY com a vacinação aos 26 e aos 45 anos, respetivamente, para a alternativa de vacinação mais rastreio versus a situação atual de rastreio organizado e oportunístico, em Portugal.

How to increase value for customers of style in a box: The first Portuguese online platform for renting luxury dresses

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Design of a balanced scorecard-type management system for a back-office department in a bank

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Finance from the NOVA – School of Business and Economics

Promoting Portuguese exports to Germany: A hand-on approach for the machinery and equipment sector

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

Evaluation of the immune response to CRA and FRA recombinant antigens of Trypanosoma cruzi in C57BL/6 mice

Humoral and cellular immune responses were evaluated in 44 C57BL/6 mice immunized with the Trypanosoma cruzi recombinant antigens CRA and FRA. Both antigens induced cutaneous immediate-type hypersensitivity response. The levels of IgG1, IgG2a, IgG2b and IgG3 were high in CRA immunized mice. IgG3 was the predominant isotype. Although no difference in antibody levels was observed in FRA-immunized mice when compared to control mice, both antigens were able to induce lymphoproliferation in immunized mice. Significant differences were observed between incorporation of [³H]- thymidine by spleen cell stimulated in vitro with CRA or FRA and the control group. These results suggest that CRA and FRA could be involved in mechanisms of resistance to Trypanosoma cruzi infection.

Heterogeneous computing with an algorithmic skeleton framework

The Graphics Processing Unit (GPU) is present in almost every modern day personal computer. Despite its specific purpose design, they have been increasingly used for general computations with very good results. Hence, there is a growing effort from the community to seamlessly integrate this kind of devices in everyday computing. However, to fully exploit the potential of a system comprising GPUs and CPUs, these devices should be presented to the programmer as a single platform. The efficient combination of the power of CPU and GPU devices is highly dependent on each device’s characteristics, resulting in platform specific applications that cannot be ported to different systems. Also, the most efficient work balance among devices is highly dependable on the computations to be performed and respective data sizes. In this work, we propose a solution for heterogeneous environments based on the abstraction level provided by algorithmic skeletons. Our goal is to take full advantage of the power of all CPU and GPU devices present in a system, without the need for different kernel implementations nor explicit work-distribution.To that end, we extended Marrow, an algorithmic skeleton framework for multi-GPUs, to support CPU computations and efficiently balance the work-load between devices. Our approach is based on an offline training execution that identifies the ideal work balance and platform configurations for a given application and input data size. The evaluation of this work shows that the combination of CPU and GPU devices can significantly boost the performance of our benchmarks in the tested environments, when compared to GPU-only executions.

Janelas inteligentes com efeito de memória

Neste trabalho foi desenvolvido um controlador electrónico de potência capaz de actuar sobre a janela inteligente por forma a permitir a transição do estado opaco para o estado transparente. O controlador foi desenhado com o propósito de ser o único elemento necessário para o funcionamento das janelas inteligentes, evitando assim a utilização de uma parafernália de equipamentos isolados, ligados entre si, para executarem o mesmo propósito. A topologia utilizada para criar este controlador baseou-se num módulo rectificador AC/DC, seguido por um módulo Buck e terminado por um inversor do tipo Boost. Esta topologia permitiu que se alcançasse uma grande amplitude de tensões á saída, as quais variam entre os 0V e os 600V, necessárias para o desenvolvimento das janelas inteligentes. Esta solução foi pensada por forma a permitir, no futuro, o desenvolvimento de um controlador capaz de fazer a transição do estado transparente para opaco e a ligação ao software laboratorial LabView para recolha de dados e interpretação dos mesmos.

E-Health individual adoption - empirical model based on UTAUT 2.

The future of health care delivery is becoming more citizen-centred, as today’s user is more active, better informed and more demanding. The European Commission is promoting online health services and, therefore, member states will need to boost deployment and use of online services. This makes e-health adoption an important field to be studied and understood. This study applied the extended unified theory of acceptance and usage technology (UTAUT2) to explain patients’ individual adoption of e-health. An online questionnaire was administrated Portugal using mostly the same instrument used in UTAUT2 adapted to e-health context. We collected 386 valid answers. Performance expectancy, effort expectancy, social influence, and habit had the most significant explanatory power over behavioural intention and habit and behavioural intention over technology use. The model explained 52% of the variance in behavioural intention and 32% of the variance in technology use. Our research helps to understand the desired technology characteristics of ehealth. By testing an information technology acceptance model, we are able to determine what is more valued by patients when it comes to deciding whether to adopt e-health systems or not.

Comparação entre sistemas de saúde oral de 8 países da união europeia e intervenções por estes desenvolvidas no seguimento das linhas de atuação definidas pela Organização Mundial de Saúde para o ano 2020

RESUMO - Hoje, facilmente se poderá constatar que as doenças orais possuem uma expressiva influência perante a saúde geral, não apenas pela presença da condição por si só, mas também a nível pessoal, social e económico. O seu reflexo traduz-se em parte, no absentismo escolar e laboral, diminuição considerável de produtividade e eficiência, falta de atenção e objetividade. Pelo que é então considerado, um grave problema de saúde pública, afetando de forma mais expressiva, grupos socioeconomicamente desfavorecidos. O acompanhamento e análise do desenvolvimento de iniciativas internacionais, no que ao seguimento das recomendações da Organização Mundial de Saúde diz respeito, poderá ser um ótimo beneficio e impulso para a identificação e aplicação de novos planos de ação. O presente projeto, pretendeu contribuir para a identificação de duas propostas de intervenção em saúde oral ajustadas ao alcance das recomendações da OMS que simultaneamente possam sejam proveitosas para a resolução dos problemas de saúde oral nacionais. Foi realizado um estudo observacional, descritivo e retrospetivo onde foram recolhidos dados acerca de 8 Sistemas de Saúde Oral europeus, previamente selecionados segundo critérios específicos, e iniciativas de saúde oral por eles desenvolvidas. Por fim, foram eleitas duas iniciativas de interesse, possíveis de aplicação futura. Os resultados do estudo apontam para a existência de diferentes iniciativas, enquadradas com as recomendações da OMS. De entre as mesmas, destaca-se uma implementada em 2009, na Suécia, que estando essencialmente assente num acessível subsidio anual fixo pago por cada indivíduo adulto, procura fundamentalmente preservar os esforços de prevenção aplicados nas últimas décadas.

Predictors of adherence to influenza vaccination for healthcare workers from a teaching hospital: a study in the prepandemic era

INTRODUCTION: Even before the 2009 pandemics, influenza in healthcare workers (HCW) was a known threat to patient safety, while Influenza vaccine coverage in the same group was generally low. Identification of predictors for HCW adherence to Influenza vaccination has challenged infection control committees. METHODS: Our group conducted a cross-sectional survey in December 2007, interviewing 125 HCWs from a teaching hospital to identify adherence predictors for Influenza vaccination. The outcomes of interest were: A - adherence to the 2007 vaccination campaign; B - adherence to at least three yearly campaigns in the past five years. Demographic and professional data were assessed through univariate and multivariate analysis. RESULTS: Of the HCWs interviewed, 43.2% were vaccinated against Influenza in 2007. However, only 34.3% of HCWs working in healthcare for more than five years had adhered to at least three of the last five vaccination campaigns. Multivariate analysis showed that working in a pediatric unit (OR = 7.35, 95%CI = 1.90-28.44, p = 0.004) and number of years in the job (OR = 1.32, 95%CI = 1.00-1.74, p = 0.049) were significant predictors of adherence to the 2007 campaign. Physicians returned the worst outcome performances in A (OR = 0.40, 95%CI = 0.16-0.97, p = 0.04) and B (OR = 0.17, 95%CI = 0.05-0.60, p = 0.006). CONCLUSIONS: Strategies to improve adherence to Influenza vaccination should focus on physicians and newly-recruited HCWs. New studies are required to assess the impact of the recent Influenza A pandemics on HCW-directed immunization policies.

Framework for the semantic alignment of enterprise’s domain knowledge

Nowadays, the consumption of goods and services on the Internet are increasing in a constant motion. Small and Medium Enterprises (SMEs) mostly from the traditional industry sectors are usually make business in weak and fragile market sectors, where customized products and services prevail. To survive and compete in the actual markets they have to readjust their business strategies by creating new manufacturing processes and establishing new business networks through new technological approaches. In order to compete with big enterprises, these partnerships aim the sharing of resources, knowledge and strategies to boost the sector’s business consolidation through the creation of dynamic manufacturing networks. To facilitate such demand, it is proposed the development of a centralized information system, which allows enterprises to select and create dynamic manufacturing networks that would have the capability to monitor all the manufacturing process, including the assembly, packaging and distribution phases. Even the networking partners that come from the same area have multi and heterogeneous representations of the same knowledge, denoting their own view of the domain. Thus, different conceptual, semantic, and consequently, diverse lexically knowledge representations may occur in the network, causing non-transparent sharing of information and interoperability inconsistencies. The creation of a framework supported by a tool that in a flexible way would enable the identification, classification and resolution of such semantic heterogeneities is required. This tool will support the network in the semantic mapping establishments, to facilitate the various enterprises information systems integration.

Support in decision-making under uncertainty: a project risk assessment tool development and supplementary advances

A foremost dispute that persists on the contemporary world’s agenda is change. The on-going social/technological/economic changes create a competitive and challenging environment for companies to endure. To benefit from these changes, world economies partially depend on emerging Small and Medium Enterprises (SMEs) and their adaptability skills, and subsequently the development of an integrated capability to innovate has become the prime strategy for most of SMEs to subsist and grow. However, innovation and change are always somewhat bonded to an inherent risk development, which subsequently brings on the necessity of a revision of risk management approaches in innovative processes, whose importance SMEs tend to disregard. Additionally, little efforts have been made to improve and create empirical models, metrics and tools to assist SMEs managing latent risks in their innovative projects. This work seeks to present and discuss a solution to support SMEs in engaging on systematic risk management practices, which consists on an integrated risk assessment and response support web-based tool - Spotrisk® - designed for SMEs. On the other hand, an inherent subjectivity is linked with risk management and identification processes, due to uncertainty trait of its nature, for each individual perceives situations according to his own idiosyncrasy, which brings complications in normalizing risk profiles and procedures. This essay aims to bring insights concerning the support in decision-making processes under uncertainty, by addressing issues related with the risk behavior character among individuals. To address such issues, subjects of neuroscience or psychology are explored and models to identify such character are proposed, as well as models to improve presented tool. This work attempts to go beyond the restrictive aim of endeavoring on technical improvement dissertation, and in embraces an exploratory conceptualization concerning micro, small and medium businesses’ traits regarding risk characters and project risk assessment tools.

PV systems linked to the grid: parameter identification with a heuristic procedure

This paper focuses on a PV system linked to the electric grid by power electronic converters, identification of the five parameters modeling for photovoltaic systems and the assessment of the shading effect. Normally, the technical information for photovoltaic panels is too restricted to identify the five parameters. An undemanding heuristic method is used to find the five parameters for photovoltaic systems, requiring only the open circuit, maximum power, and short circuit data. The I–V and the P–V curves for a monocrystalline, polycrystalline and amorphous photovoltaic systems are computed from the parameters identification and validated by comparison with experimental ones. Also, the I–V and the P–V curves under the effect of partial shading are obtained from those parameters. The modeling for the converters emulates the association of a DC–DC boost with a two-level power inverter in order to follow the performance of a testing commercial inverter employed on an experimental system.