Assessing the efficacy of the Mental Health Gap Action Programme (mhGAP) training for non-specialized health workers in Ethiopia

RESUMO: A OMS lançou em 2008, o Programa de Acção do Gap em Saúde Mental (mhGAP) para suprir a falta de cuidados, especialmente em países de rendimento baixo e médio, para as pessoas que sofrem de perturbações mentais, neurológicas e de uso de substâncias (MNS). Um componente crucial do mhGAP é representado pelo esforço no sentido da integração da saúde mental nos cuidados de saúde primários. Na Etiópia, o mhGAP foi monitorizado durante 3 anos, graças a um projeto de demonstração implementado em clínicas selecionadas em quatro regiões do país. A fase de demonstração de mhGAP na Etiópia traduziu-se principalmente na formação de profissionais de saúde não especializados, fornecendo-lhes orientação e supervisão apoiada para a utilização de medicamentos psicotrópicos essenciais e na coordenação com o Ministério Etíope Federal da Saúde, Hospital Amanuel de Saúde Mental e as Secretarias Regionais de Saúde ( RHBs ). O presente trabalho investigou a eficácia do pacote de formação mhGAP através de uma análise das pontuações dos participantes no pré- e pós-testes. A análise estatística mostrou - com uma exceção - que a melhoria dos formandos é estatisticamente significativa, o que sugere que os conhecimentos dos participantes é melhorada na fase de pós-teste. A eficácia do pacote de formação mhGAP para profissionais de saúde não especializados é uma evidência promissora de que os mesmos podem ser treinados com sucesso para realizar um pacote básico de intervenções para a prestação de cuidados e tratamento para pessoas com perturbações mentais, neurológicas e de uso de substâncias. Este trabalho destaca, também, várias limitações não apenas inerentes ao próprio projecto de investigação tais como o número limitado de respostas que foram analisadas e a falta de dados de uma das quatro regiões onde mhGAP foi testado na Etiópia. As principais limitações decorrem de facto da abordagem global limitar as intervenções de saúde mental ao programa de formação e supervisão dos trabalhadores de cuidados de saúde primários . Este processo só será bem sucedido se, juntamente com outras intervenções - que vão desde o desenvolvimento de currículos para o desenvolvimento de uma legislação de saúde mental -, fôr incluído numa estratégia mais abrangente para a reforma da saúde mental e desafiar o status quo.-----------ABSTRACT:In 2008, WHO launched the Mental Health Gap Action Programme (mhGAP) to address the lack of care, especially in low- and middle- income countries, for people living with mental, neurological and substance use (MNS) disorders. A crucial component of mhGAP is represented by the endeavor towards integration of mental health into primary health care. In Ethiopia, mhGAP has been piloted for 3 years thanks to a demonstration project implemented in selected clinics in 4 regions of the country. The demonstration phase of mhGAP in Ethiopia has mainly translated into training of non-specialized health workers, providing them with mentorship and supportive supervision, availing essential psychotropic medications and coordinating with the Ethiopian Federal Ministry of Health, Amanuel Mental Health Hospital and the Regional Health Bureaus (RHBs). The present paper investigated the efficacy of the mhGAP training package through an analysis of the participants’ scores at pre-test and post-test. The statistical analysis showed - with one exception - that the improvement of trainees is statistically significant, therefore suggesting that the knowledge of participants is improved in the post-test phase. The efficacy of the mhGAP training package on non-specialized health workers is promising evidence that non-specialized health-care providers can be successfully trained to deliver a basic package of interventions for providing care and treatment for people with mental, neurological and substance use disorders. However, this paper also highlights several limitations, which are not only inherent to the research itself, such as the limited number of scores that was analyzed, or the lack of data from one of the four regions where mhGAP has been piloted in Ethiopia; major limitations occur in fact in the overall approach of confining mental health interventions to training and supervising primary health care workers. This process will only be successful if coupled with other interventions – ranging from curricula development to development of a mental health legislation - and if it is included in a more comprehensive strategy to reform mental health and challenge the status quo.

A coherent approach to non-integer order derivatives

Signal Processing, vol. 86, nº 10

The impact of pharmaceutical policy measures: a structural-break approach

Pharmaceutical spending in many other countries has had a steep increase in the last decade. The Portuguese Government has adopted several measures to reduce pharmaceutical expenditure growth, ranging from increased co-payments to price decreases determined administratively. Promotion of generic consumption has also ranked high in political priorities. We assess the overall impact of the several policy measures on total pharmaceutical spending, using monthly data over the period January 1995 – August 2008. Endogenous structural breaks (time-series) methods were employed. Our findings suggest that policy measures aimed at controlling pharmaceutical expenditure have been, in general, unsuccessful. Two breaks were identified. Both coincide with administratively determined price decreases. Measures aimed at increasing competition in the market had no visible effect on the dynamics of Government spending in pharmaceutical products. In particular, the introduction of reference pricing had only a transitory effect of less than one year, with historical growth resuming quickly. The consequence of it is a transfer of financial burden from the Government to the patients, with no apparent effect on the dynamics of pharmaceutical spending. This strongly suggests that pharmaceutical companies have been able to adjust to policy measures, in order to sustain their sales. It remains a challenge for the future to identify firms’ strategies that supported continued growth of sales, despite the several policy measures adop

A learning approach to swarm-based path detection and tracking

Dissertação para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores

Portuguese investor profile in Poland, a managerial approach

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

Comparative effects of sediments contaminated by carcinogenic and non-carcinogenic PAHs in Dicentrarchus labrax: a semi-quantitative histopathological approach

Dissertação para obtenção do Grau de Mestre em Engenharia do Ambiente

From a project to an organisation: a Strategic Communication’s approach

Relatório de Estágio apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências da Comunicação, área de especialização em Comunicação Estratégica

Development of an integrative approach for the characterization of ecological risk on marine transition ecosystems: the Sado Estuary as a case study

Estuaries and other transitional waters are complex ecosystems critically important as nursery and shelter areas for organisms. Also, humans depend on estuaries for multiple socio-economical activities such as urbanism, tourism, heavy industry, (taking advantage of shipping), fisheries and aquaculture, the development of which led to strong historical pressures, with emphasis on pollution. The degradation of estuarine environmental quality implies ecologic, economic and social prejudice, hence the importance of evaluating environmental quality through the identification of stressors and impacts. The Sado Estuary (SW Portugal) holds the characteristics of industrialized estuaries, which results in multiple adverse impacts. Still, it has recently been considered moderately contaminated. In fact, many studies were conducted in the past few years, albeit scattered due to the absence of true biomonitoring programmes. As such, there is a need to integrate the information, in order to obtain a holistic perspective of the area able to assist management and decision-making. As such, a geographical information system (GIS) was created based on sediment contamination and biomarker data collected from a decade-long time-series of publications. Four impacted and a reference areas were identified, characterized by distinct sediment contamination patterns related to different hot spots and diffuse sources of toxicants. The potential risk of sediment-bound toxicants was determined by contrasting the levels of pollutants with available sediment quality guidelines, followed by their integration through the Sediment Quality guideline Quotient (SQG-Q). The SQG-Q estimates per toxicant or class was then subjected to georreferencing and statistical analyses between the five distinct areas and seasons. Biomarker responses were integrated through the Biomarkers Consistency Indice and georreferenced as well through GIS. Overall, in spite of the multiple biological traits surveyed, the biomarker data (from several organisms) are accordant with sediment contamination. The most impacted areas were the shipyard area and adjacent industrial belt, followed by urban and agricultural grounds. It is evident that the estuary, although globally moderately impacted, is very heterogeneous and affected by a cocktail of contaminants, especially metals and polycyclic aromatic hydrocarbon. Although elements (like copper, zinc and even arsenic) may originate from the geology of the hydrographic basin of the Sado River, the majority of the remaining contaminants results from human activities. The present work revealed that the estuary should be divided into distinct biogeographic units, in order to implement effective measures to safeguard environmental quality.

Real convergence in per capita output and growth in Eurozone: A time-series approach

The real convergence hypothesis has spurred a myriad of empirical tests and approaches in the economic literature. This Work Project intends to test for real output and growth convergence in all N(N-1)/2 possible pairs of output and output growth gaps of 14 Eurozone countries. This paper follows a time-series approach, as it tests for the presence of unit roots and persistence changes in the above mentioned pairs of output gaps, as well as for the existence of growth convergence with autoregressive models. Overall, significantly greater evidence has been found to support growth convergence rather than output convergence in our sample.

A practical approach to execute and test a lean startup

This paper practically applies the “Lean Startup Approach” by identifying, analyzing and executing a newly developed web-based business idea. Hypotheses were designed and tested with the construction of a minimum viable product – i.e. a landing page. In-depth interviews allowed deciding either to pivot or persevere the initial launch strategy. Overall, the aim was to collect as much valuable response as possible from customers and ultimately decide for a superior strategy while devoting the smallest amount of time and money.

Constraint solving over multi-valued logics - application to digital circuits

Due to usage conditions, hazardous environments or intentional causes, physical and virtual systems are subject to faults in their components, which may affect their overall behaviour. In a ‘black-box’ agent modelled by a set of propositional logic rules, in which just a subset of components is externally visible, such faults may only be recognised by examining some output function of the agent. A (fault-free) model of the agent’s system provides the expected output given some input. If the real output differs from that predicted output, then the system is faulty. However, some faults may only become apparent in the system output when appropriate inputs are given. A number of problems regarding both testing and diagnosis thus arise, such as testing a fault, testing the whole system, finding possible faults and differentiating them to locate the correct one. The corresponding optimisation problems of finding solutions that require minimum resources are also very relevant in industry, as is minimal diagnosis. In this dissertation we use a well established set of benchmark circuits to address such diagnostic related problems and propose and develop models with different logics that we formalise and generalise as much as possible. We also prove that all techniques generalise to agents and to multiple faults. The developed multi-valued logics extend the usual Boolean logic (suitable for faultfree models) by encoding values with some dependency (usually on faults). Such logics thus allow modelling an arbitrary number of diagnostic theories. Each problem is subsequently solved with CLP solvers that we implement and discuss, together with a new efficient search technique that we present. We compare our results with other approaches such as SAT (that require substantial duplication of circuits), showing the effectiveness of constraints over multi-valued logics, and also the adequacy of a general set constraint solver (with special inferences over set functions such as cardinality) on other problems. In addition, for an optimisation problem, we integrate local search with a constructive approach (branch-and-bound) using a variety of logics to improve an existing efficient tool based on SAT and ILP.

Constraint reasoning for differential models

The basic motivation of this work was the integration of biophysical models within the interval constraints framework for decision support. Comparing the major features of biophysical models with the expressive power of the existing interval constraints framework, it was clear that the most important inadequacy was related with the representation of differential equations. System dynamics is often modelled through differential equations but there was no way of expressing a differential equation as a constraint and integrate it within the constraints framework. Consequently, the goal of this work is focussed on the integration of ordinary differential equations within the interval constraints framework, which for this purpose is extended with the new formalism of Constraint Satisfaction Differential Problems. Such framework allows the specification of ordinary differential equations, together with related information, by means of constraints, and provides efficient propagation techniques for pruning the domains of their variables. This enabled the integration of all such information in a single constraint whose variables may subsequently be used in other constraints of the model. The specific method used for pruning its variable domains can then be combined with the pruning methods associated with the other constraints in an overall propagation algorithm for reducing the bounds of all model variables. The application of the constraint propagation algorithm for pruning the variable domains, that is, the enforcement of local-consistency, turned out to be insufficient to support decision in practical problems that include differential equations. The domain pruning achieved is not, in general, sufficient to allow safe decisions and the main reason derives from the non-linearity of the differential equations. Consequently, a complementary goal of this work proposes a new strong consistency criterion, Global Hull-consistency, particularly suited to decision support with differential models, by presenting an adequate trade-of between domain pruning and computational effort. Several alternative algorithms are proposed for enforcing Global Hull-consistency and, due to their complexity, an effort was made to provide implementations able to supply any-time pruning results. Since the consistency criterion is dependent on the existence of canonical solutions, it is proposed a local search approach that can be integrated with constraint propagation in continuous domains and, in particular, with the enforcing algorithms for anticipating the finding of canonical solutions. The last goal of this work is the validation of the approach as an important contribution for the integration of biophysical models within decision support. Consequently, a prototype application that integrated all the proposed extensions to the interval constraints framework is developed and used for solving problems in different biophysical domains.

An integrated approach for TQM implementation in SMEs

This paper tackles the broad issue of TQM implementation in SMEs. It includes a review of two models aimed at improving organisational performance, the EFQM Excellence Model and the Balanced Scorecard, which have been widely used in large organisations. Both models are examined as to their suitability and applicability to small and medium sized enterprises. The findings indicate that SMEs can benefit from the adoption of an integrated approach that combines both models if some critical factors are considered in the implementation process. A theoretical framework is proposed, which considers such integration and leads to a gradual implementation of TQM principles and methods in SMEs.

An approach to health and safety in E.U. forestry operations – Hazards and preventive measures

Forestry in general and logging in particular continue to be among the three most hazardous sectors in European countries. The aim of this article is to characterize health and safety problems and solutions in E.U. forestry operations, and particularly in Portuguese operations. Forest types, production, employment and ownership are used to characterize the forest sector. Forestry accidents and health problems data are mentioned. Typical hazards associated to the nature of logging operations are systematized. Preventive measures, focused on a wide spectrum of measures, making safety considerations an integral feature of all operational activities from planning to organization to execution and supervision of work are emphasized in this article.

Component-based software engineering: a quantitative approach

Dissertação apresentada para a obtenção do Grau de Doutor em Informática pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia