988 resultados para action plans
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RESUMO: O instrumento de avaliação de sistemas de saúde mental da organização mundial de saúde (WHO-AIMS)foi usado para a recolha de informações sobre o Programa Nacional de Saúde Mental de Moçambique. O presente estudo tem como objectivo melhorar o Programa Nacional de Saúde Mental e fornecer um ponto de partida para a monitorização das mudanças. Os resultados do estudo permitirão a Moçambique fortalecer a sua capacidade para desenvolver planos de saúde mental baseados em informações com pontos de partida e metas bem definidos. O relatório será também útil para a monitorização do progresso da implementação de reformas nas políticas de saúde mental, na disponibilização de serviços de base comunitária, e no envolvimento dos utentes, seus familiares e outros actores na promoção, prevenção,cuidados e reabilitação em saúde mental. Tendo em conta os antecedentes históricos da saúde mental em Moçambique, a realidade actual clama por reformas profundas voltadas para uma intervenção mais humanizada e com enfoque nos cuidados primários. É nesse contexto que o estudo realizado apresenta resultados relacionados com as políticas, legislação, estratégias e planos de acção e financiamento para a saúde mental; serviços de saúde mental;cuidados primários; recursos humanos e ligação com outros sectores chave. A saúde mental foi avaliada desde o sistema de gestão até ao nível comunitário. Relativamente aos órgãos de gestão, a principal constatação é que existem instrumentos legais para sustentar as iniciativas desta área e influenciar os meios políticos em prol da saúde mental. Todavia, o caminho a percorrer ainda é longo uma vez que não está ainda aprovada nenhuma lei de saúde mental e os financiamentos para a área não permitem a implementação das reformas necessárias. Os serviços ao nível clínico debatem-se com a problemática dos recursos humanos (constituídos principalmente por técnicos de psiquiatria) e disponibilidade de psicofármacos. O modelo biopsicossocial ainda não é implementado integralmente uma vez que são poucos os serviços que oferecem apoio psicossocial (que inclui a reabilitação e reintegração) para além da intervenção farmacológica. Esta pode ser considerada uma das principais causas de recaídas identificadas em todas as províncias. Há uma necessidade urgente de se realizarem pesquisas e levantamentos epidemiológicos que possam servir de suporte para a advocacia em saúde mental com vista a melhoria dos cuidados a prestar aos pacientes e comunidade. Os instrumentos de recolha de informação de rotina não são adequados limitando a fidelidade dos dados recolhidos e a possibilidade de uma gestão dos serviços de saúde mental que responda as reais necessidades da população. Em suma, os resultados aqui apresentados mostram que Moçambique tem uma base que pode ser considerada uma mais valia para a reforma do sistema de saúde mental. Existem, ainda que escassos, recursos como humanos, infra-estruturas e legislação para a prestação dos serviços clínicos. É preciso investir na saúde mental para que os recursos existentes sejam melhorados e expandidos, apostando na criação de equipas multidisciplinares e qualificação das equipas de gestão e equipas clínicas. --------ABSTRACT: The World Health Organization Assessment Instrument for Mental Health Services (WHO-AIMS) was used to collect information about the National Mental Health Program of Mozambique. The present study aims to improve the National Mental Health Program and provide a starting point for monitoring change. The study results will allow Mozambique to strengthen its capacity to develop mental health plans based on information with starting points and well-defined goals. The report will also be useful for monitoring the progress of implementation of reforms in mental health policies, the provision of community-based services, and involvement of users, their families and other stakeholders in the promotion, prevention, care and rehabilitation in mental health. Given the historical background of mental health in Mozambique, the current situation calls for reforms aimed at a more humane intervention focused on primary care. In this context, the study presents results related to policies, legislation, strategies and action plans and funding for mental health; mental health services; primary care; human resources and liaison with other key sectors. Mental health was assessed from the management system to the community level. With regard to the management, the main observation is that there are legal instruments to support the initiatives in this area and to influence the political means on behalf of mental health. However, the pathway is still long as it is not yet approved any Mental Health Law and the funding for the area do not allow the implementation of necessary reforms. Services at the clinical level are struggling with the issue of human resources (consisting primarily of psychiatrist technicians) and availability of psychotropic drugs. The biopsychosocial model is not yet fully implemented since there are few services providing psychosocial support (including rehabilitation and reintegration) in addition to pharmacological intervention. This can be considered a major cause of relapse identified in all provinces. There is an urgent need to conduct research and epidemiological surveys which could provide support for advocacy in mental health in order to improve the mental health car for the patients and community. The routine data collection instruments are not appropriate limiting the fidelity of the data collected and the possibility of a management of mental health services that meets the real needs of the population. In summary, the results presented here show that Mozambique has a groundwork that can be considered an asset for the reform of mental health system. There are, though scarce, human resources, infrastructure and legislation for the provision of clinical services. It’s necessary to invest in mental health so that existing resources are improved and expanded, and to invest on the creation of multidisciplinary teams and qualification of management teams and clinical teams.
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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
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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.
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Dissertação de mestrado integrado em Psicologia
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This article describes the evaluation of a psychological intervention—the Career Self-Management Seminar, Version A, for undergraduate students, and Version B for postgraduate students—developed to support Portuguese college students in career exploration, goal setting, design and implementation of action plans, and decision-making. A total of 120 participants from CSMS-A (experimental group, n = 58; control group, n = 62) and 98 from CSMS-B (experimental group, n = 62; control group, n = 36) were assessed by the Career Exploration Survey according to a pretest and posttest plan. Results demonstrate a significant increase in most of the cognitive, behavioral, and affective career exploration dimensions among the CSMS-A and CSMS-B experimental groups.
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Nota: Os anexos referidos no índice do trabalho não foram fornecidos.
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SUMMARYSpecies distribution models (SDMs) represent nowadays an essential tool in the research fields of ecology and conservation biology. By combining observations of species occurrence or abundance with information on the environmental characteristic of the observation sites, they can provide information on the ecology of species, predict their distributions across the landscape or extrapolate them to other spatial or time frames. The advent of SDMs, supported by geographic information systems (GIS), new developments in statistical models and constantly increasing computational capacities, has revolutionized the way ecologists can comprehend species distributions in their environment. SDMs have brought the tool that allows describing species realized niches across a multivariate environmental space and predict their spatial distribution. Predictions, in the form of probabilistic maps showing the potential distribution of the species, are an irreplaceable mean to inform every single unit of a territory about its biodiversity potential. SDMs and the corresponding spatial predictions can be used to plan conservation actions for particular species, to design field surveys, to assess the risks related to the spread of invasive species, to select reserve locations and design reserve networks, and ultimately, to forecast distributional changes according to scenarios of climate and/or land use change.By assessing the effect of several factors on model performance and on the accuracy of spatial predictions, this thesis aims at improving techniques and data available for distribution modelling and at providing the best possible information to conservation managers to support their decisions and action plans for the conservation of biodiversity in Switzerland and beyond. Several monitoring programs have been put in place from the national to the global scale, and different sources of data now exist and start to be available to researchers who want to model species distribution. However, because of the lack of means, data are often not gathered at an appropriate resolution, are sampled only over limited areas, are not spatially explicit or do not provide a sound biological information. A typical example of this is data on 'habitat' (sensu biota). Even though this is essential information for an effective conservation planning, it often has to be approximated from land use, the closest available information. Moreover, data are often not sampled according to an established sampling design, which can lead to biased samples and consequently to spurious modelling results. Understanding the sources of variability linked to the different phases of the modelling process and their importance is crucial in order to evaluate the final distribution maps that are to be used for conservation purposes.The research presented in this thesis was essentially conducted within the framework of the Landspot Project, a project supported by the Swiss National Science Foundation. The main goal of the project was to assess the possible contribution of pre-modelled 'habitat' units to model the distribution of animal species, in particular butterfly species, across Switzerland. While pursuing this goal, different aspects of data quality, sampling design and modelling process were addressed and improved, and implications for conservation discussed. The main 'habitat' units considered in this thesis are grassland and forest communities of natural and anthropogenic origin as defined in the typology of habitats for Switzerland. These communities are mainly defined at the phytosociological level of the alliance. For the time being, no comprehensive map of such communities is available at the national scale and at fine resolution. As a first step, it was therefore necessary to create distribution models and maps for these communities across Switzerland and thus to gather and collect the necessary data. In order to reach this first objective, several new developments were necessary such as the definition of expert models, the classification of the Swiss territory in environmental domains, the design of an environmentally stratified sampling of the target vegetation units across Switzerland, the development of a database integrating a decision-support system assisting in the classification of the relevés, and the downscaling of the land use/cover data from 100 m to 25 m resolution.The main contributions of this thesis to the discipline of species distribution modelling (SDM) are assembled in four main scientific papers. In the first, published in Journal of Riogeography different issues related to the modelling process itself are investigated. First is assessed the effect of five different stepwise selection methods on model performance, stability and parsimony, using data of the forest inventory of State of Vaud. In the same paper are also assessed: the effect of weighting absences to ensure a prevalence of 0.5 prior to model calibration; the effect of limiting absences beyond the environmental envelope defined by presences; four different methods for incorporating spatial autocorrelation; and finally, the effect of integrating predictor interactions. Results allowed to specifically enhance the GRASP tool (Generalized Regression Analysis and Spatial Predictions) that now incorporates new selection methods and the possibility of dealing with interactions among predictors as well as spatial autocorrelation. The contribution of different sources of remotely sensed information to species distribution models was also assessed. The second paper (to be submitted) explores the combined effects of sample size and data post-stratification on the accuracy of models using data on grassland distribution across Switzerland collected within the framework of the Landspot project and supplemented with other important vegetation databases. For the stratification of the data, different spatial frameworks were compared. In particular, environmental stratification by Swiss Environmental Domains was compared to geographical stratification either by biogeographic regions or political states (cantons). The third paper (to be submitted) assesses the contribution of pre- modelled vegetation communities to the modelling of fauna. It is a two-steps approach that combines the disciplines of community ecology and spatial ecology and integrates their corresponding concepts of habitat. First are modelled vegetation communities per se and then these 'habitat' units are used in order to model animal species habitat. A case study is presented with grassland communities and butterfly species. Different ways of integrating vegetation information in the models of butterfly distribution were also evaluated. Finally, a glimpse to climate change is given in the fourth paper, recently published in Ecological Modelling. This paper proposes a conceptual framework for analysing range shifts, namely a catalogue of the possible patterns of change in the distribution of a species along elevational or other environmental gradients and an improved quantitative methodology to identify and objectively describe these patterns. The methodology was developed using data from the Swiss national common breeding bird survey and the article presents results concerning the observed shifts in the elevational distribution of breeding birds in Switzerland.The overall objective of this thesis is to improve species distribution models as potential inputs for different conservation tools (e.g. red lists, ecological networks, risk assessment of the spread of invasive species, vulnerability assessment in the context of climate change). While no conservation issues or tools are directly tested in this thesis, the importance of the proposed improvements made in species distribution modelling is discussed in the context of the selection of reserve networks.RESUMELes modèles de distribution d'espèces (SDMs) représentent aujourd'hui un outil essentiel dans les domaines de recherche de l'écologie et de la biologie de la conservation. En combinant les observations de la présence des espèces ou de leur abondance avec des informations sur les caractéristiques environnementales des sites d'observation, ces modèles peuvent fournir des informations sur l'écologie des espèces, prédire leur distribution à travers le paysage ou l'extrapoler dans l'espace et le temps. Le déploiement des SDMs, soutenu par les systèmes d'information géographique (SIG), les nouveaux développements dans les modèles statistiques, ainsi que la constante augmentation des capacités de calcul, a révolutionné la façon dont les écologistes peuvent comprendre la distribution des espèces dans leur environnement. Les SDMs ont apporté l'outil qui permet de décrire la niche réalisée des espèces dans un espace environnemental multivarié et prédire leur distribution spatiale. Les prédictions, sous forme de carte probabilistes montrant la distribution potentielle de l'espèce, sont un moyen irremplaçable d'informer chaque unité du territoire de sa biodiversité potentielle. Les SDMs et les prédictions spatiales correspondantes peuvent être utilisés pour planifier des mesures de conservation pour des espèces particulières, pour concevoir des plans d'échantillonnage, pour évaluer les risques liés à la propagation d'espèces envahissantes, pour choisir l'emplacement de réserves et les mettre en réseau, et finalement, pour prévoir les changements de répartition en fonction de scénarios de changement climatique et/ou d'utilisation du sol. En évaluant l'effet de plusieurs facteurs sur la performance des modèles et sur la précision des prédictions spatiales, cette thèse vise à améliorer les techniques et les données disponibles pour la modélisation de la distribution des espèces et à fournir la meilleure information possible aux gestionnaires pour appuyer leurs décisions et leurs plans d'action pour la conservation de la biodiversité en Suisse et au-delà. Plusieurs programmes de surveillance ont été mis en place de l'échelle nationale à l'échelle globale, et différentes sources de données sont désormais disponibles pour les chercheurs qui veulent modéliser la distribution des espèces. Toutefois, en raison du manque de moyens, les données sont souvent collectées à une résolution inappropriée, sont échantillonnées sur des zones limitées, ne sont pas spatialement explicites ou ne fournissent pas une information écologique suffisante. Un exemple typique est fourni par les données sur 'l'habitat' (sensu biota). Même s'il s'agit d'une information essentielle pour des mesures de conservation efficaces, elle est souvent approximée par l'utilisation du sol, l'information qui s'en approche le plus. En outre, les données ne sont souvent pas échantillonnées selon un plan d'échantillonnage établi, ce qui biaise les échantillons et par conséquent les résultats de la modélisation. Comprendre les sources de variabilité liées aux différentes phases du processus de modélisation s'avère crucial afin d'évaluer l'utilisation des cartes de distribution prédites à des fins de conservation.La recherche présentée dans cette thèse a été essentiellement menée dans le cadre du projet Landspot, un projet soutenu par le Fond National Suisse pour la Recherche. L'objectif principal de ce projet était d'évaluer la contribution d'unités 'd'habitat' pré-modélisées pour modéliser la répartition des espèces animales, notamment de papillons, à travers la Suisse. Tout en poursuivant cet objectif, différents aspects touchant à la qualité des données, au plan d'échantillonnage et au processus de modélisation sont abordés et améliorés, et leurs implications pour la conservation des espèces discutées. Les principaux 'habitats' considérés dans cette thèse sont des communautés de prairie et de forêt d'origine naturelle et anthropique telles que définies dans la typologie des habitats de Suisse. Ces communautés sont principalement définies au niveau phytosociologique de l'alliance. Pour l'instant aucune carte de la distribution de ces communautés n'est disponible à l'échelle nationale et à résolution fine. Dans un premier temps, il a donc été nécessaire de créer des modèles de distribution de ces communautés à travers la Suisse et par conséquent de recueillir les données nécessaires. Afin d'atteindre ce premier objectif, plusieurs nouveaux développements ont été nécessaires, tels que la définition de modèles experts, la classification du territoire suisse en domaines environnementaux, la conception d'un échantillonnage environnementalement stratifié des unités de végétation cibles dans toute la Suisse, la création d'une base de données intégrant un système d'aide à la décision pour la classification des relevés, et le « downscaling » des données de couverture du sol de 100 m à 25 m de résolution. Les principales contributions de cette thèse à la discipline de la modélisation de la distribution d'espèces (SDM) sont rassemblées dans quatre articles scientifiques. Dans le premier article, publié dans le Journal of Biogeography, différentes questions liées au processus de modélisation sont étudiées en utilisant les données de l'inventaire forestier de l'Etat de Vaud. Tout d'abord sont évalués les effets de cinq méthodes de sélection pas-à-pas sur la performance, la stabilité et la parcimonie des modèles. Dans le même article sont également évalués: l'effet de la pondération des absences afin d'assurer une prévalence de 0.5 lors de la calibration du modèle; l'effet de limiter les absences au-delà de l'enveloppe définie par les présences; quatre méthodes différentes pour l'intégration de l'autocorrélation spatiale; et enfin, l'effet de l'intégration d'interactions entre facteurs. Les résultats présentés dans cet article ont permis d'améliorer l'outil GRASP qui intègre désonnais de nouvelles méthodes de sélection et la possibilité de traiter les interactions entre variables explicatives, ainsi que l'autocorrélation spatiale. La contribution de différentes sources de données issues de la télédétection a également été évaluée. Le deuxième article (en voie de soumission) explore les effets combinés de la taille de l'échantillon et de la post-stratification sur le la précision des modèles. Les données utilisées ici sont celles concernant la répartition des prairies de Suisse recueillies dans le cadre du projet Landspot et complétées par d'autres sources. Pour la stratification des données, différents cadres spatiaux ont été comparés. En particulier, la stratification environnementale par les domaines environnementaux de Suisse a été comparée à la stratification géographique par les régions biogéographiques ou par les cantons. Le troisième article (en voie de soumission) évalue la contribution de communautés végétales pré-modélisées à la modélisation de la faune. C'est une approche en deux étapes qui combine les disciplines de l'écologie des communautés et de l'écologie spatiale en intégrant leurs concepts de 'habitat' respectifs. Les communautés végétales sont modélisées d'abord, puis ces unités de 'habitat' sont utilisées pour modéliser les espèces animales. Une étude de cas est présentée avec des communautés prairiales et des espèces de papillons. Différentes façons d'intégrer l'information sur la végétation dans les modèles de répartition des papillons sont évaluées. Enfin, un clin d'oeil aux changements climatiques dans le dernier article, publié dans Ecological Modelling. Cet article propose un cadre conceptuel pour l'analyse des changements dans la distribution des espèces qui comprend notamment un catalogue des différentes formes possibles de changement le long d'un gradient d'élévation ou autre gradient environnemental, et une méthode quantitative améliorée pour identifier et décrire ces déplacements. Cette méthodologie a été développée en utilisant des données issues du monitoring des oiseaux nicheurs répandus et l'article présente les résultats concernant les déplacements observés dans la distribution altitudinale des oiseaux nicheurs en Suisse.L'objectif général de cette thèse est d'améliorer les modèles de distribution des espèces en tant que source d'information possible pour les différents outils de conservation (par exemple, listes rouges, réseaux écologiques, évaluation des risques de propagation d'espèces envahissantes, évaluation de la vulnérabilité des espèces dans le contexte de changement climatique). Bien que ces questions de conservation ne soient pas directement testées dans cette thèse, l'importance des améliorations proposées pour la modélisation de la distribution des espèces est discutée à la fin de ce travail dans le contexte de la sélection de réseaux de réserves.
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Les onades de calor eren un fenomen desconegut per la població fins fa pocs anys, i tot i que avui dia ja son més populars, les seves conseqüències passen molt més desapercebudes que la d’altres catàstrofes naturals. En aquest estudi, a partir de l’episodi que va patir la península durant l’agost de 2003, es pretén aprofundir en els factors que van fer propiciar que la mortalitat entre les persones majors de 65 anys augmentés de manera notable en comparació amb anys anteriors. Els resultats de l’estudi mostren que un dels grups més vulnerables son les persones grans que viuen soles i per tant caldria tenir en compte aquest factor a l’hora de fer plans d’acció, així com també que els pics de màxima mortalitat es corresponen amb dies posteriors als de la pujada de temperatura, ja que aquesta agreuja patologies prèvies de les persones i moren temps després. També seria interessant un consens internacional a l’hora d’establir uns criteris estàndards per tal de tenir així uns registres més fiables que permetin extreure noves mesures per lluitar contra les onades de calor.
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The main purpose of the Clmate Change Bill is to provide for the adoption of a national policy for reducing greenhouse gas (GHG) emissions; to support this through the making of mitigation and adaptation action plans; and to make provision for emission reduction targets to support the objective of transition to a low carbon, climate resilient and environmentally sustainable economy.The remit of the Institute of Public Health in Ireland (IPH) is to promote cooperation for public health between Northern Ireland and the Republic of Ireland in the areas of research and information, capacity building and policy advice. Our approach is to support Departments of Health and their agencies in both jurisdictions, and maximise the benefits of all-island cooperation to achieve practical benefits for people in Northern Ireland and the Republic of Ireland.IPH has a keen interest in the effects of climate change on health. In September 2010 the IPH published a paper – Climate Change and Health: A platform for action - to inform policy-makers and the public about the health benefits in reducing greenhouse gas emissions. This paper followed a seminar with international speakers, opened by Minister Gormley, on the same topic in February 2010.
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The Urban Regeneration and Community Development Policy Framework for Northern Ireland sets out for DSD and its partners, clear priorities for urban regeneration and community development programmes, both before and after the operational responsibility for these is transferred to councils under the reform of local government. Four policy objectives have been developed, which will focus on the underlying structural problems in urban areas and also help strengthen community development throughout Northern Ireland. The policy objectives are as follows: Policy Objective 1 – To tackle area-based deprivation: Policy Objective 2 – To strengthen the competitiveness of our towns and cities: Policy Objective 3 – To improve linkages between areas of need and areas of opportunity: and Policy Objective 4 –To develop more cohesive and engaged communities. Key points from IPH response Urban regeneration and community development provide a basis for addressing the social determinants of health and reducing inequalities in health. This policy framework presents an opportunity for coherence and complementarity with ‘Fit and Well - Changing Lives’ as part of government’s overall approach to tackling health inequalities. It is now well established that a focus on early years’ interventions and family support services yields significant returns, so prioritising action in these areas is essential. Defined action plans on child poverty are essential if this policy framework is to make a real and lasting difference in deprived urban areas. Development of the environmental infrastructure to improve health in deprived areas should be supported by well-planned monitoring and evaluation. Linking the policy framework to economic development and local community plans will enhance effectiveness in the areas of education, job creation, commercial investment and access to services, which in turn are critical for the economic growth and stability of urban communities. Community profile data and health intelligence (as available through IPH Health Well) could usefully inform central and local government in terms of resource allocation and targeted service delivery.
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This second annual report provides an update of progress against the outcomes and indicators set out in NSD Phase 2.
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UK Strategy for Rare Diseases
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Report analysing responses to the consultation on Who Cares? The Future of Adult Care and Support in NI
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Improving the Commisioning and Provision of Eyecare Services in Northern Ireland.
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Tackling Violence at Home Action Plans