Avaluació del programa de tractament d’agressors domèstics

La violència de gènere constitueix en els nostres dies una problemàtica amb un fort impacte social. Els mitjans de comunicació han augmentat la conscienciació ciutadana fent palès les greus conseqüències que pot tenir aquest tipus de violència. Davant aquesta realitat, la societat ha manifestat la seva preocupació i demanda de solucions. Dintre de les possibles mesures considerades, la investigació internacional a posat de manifest la rellevància d’intervenir no només amb les víctimes sinó també amb els agressors, ja que un alt nombre d’aquestes reprenen la convivència amb el seu agressor. En aquest sentit, les mesures penals han de tenir un component rehabilitador i de reinserció social. En el context penitenciari, el manament constitucional impregna de sentit els programes de tractament psicològics amb agressors domèstics. Per aquest motiu, l’objectiu d’aquest estudi és avaluar l’eficàcia del programa de tractament d’agressors domèstics que s’ha dut a terme al Centre Penitenciari Quatre Camins (Barcelona) durant el període 2006-2007. Per a la consecució d’aquest objectiu s’han avaluat diverses variables psicològiques (distorsions cognitives, impulsivitat, empatia, ira, motivació terapèutica, etc.), les quals són objecte de modificació per part de la intervenció. El disseny de la investigació consisteix en una comparació entre un grup de subjectes que ha rebut tractament (Grup Tractament) i un grup de subjectes que, per raons alienes al rebuig, no han estat tractats (Grup Control). Aquest estudi constitueix una investigació pilot i pionera a Catalunya en l’àmbit del tractament dels agressors domèstics. La principal conclusió d’aquest estudi és que el programa de tractament amb agressors domèstics rep un suport parcial de les dades empíriques obtingudes.

Species distribution models for conservation-oriented studies in Switzerland : filling data and tools gaps

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.

Tackling Sexual Violence at Home

Tackling Violence at Home Action Plans

Tackling Violence at Home

Tackling Violence at Home

Fills adolescents de famílies amb dinàmiques violentes: Afectació i repercussions. Una perspectiva des del SATAF

S’estableix una comparativa entre adolescents provinents de famílies amb dinàmiques de violència i adolescents immersos en dinàmiques no-violentes, emprant el MACI i una graella construïda segons criteri tècnic. Malgrat el petit tamany mostral s’obtenen dades d’interès clínic referides als adolescents VIDO.

Tackling Violence At Home

Summary of Responses to the Consultation - March 2004

Housing Strategy for People with a Disability 2011-2016 National Implementation Framework

Housing Strategy for People with a Disability 2011-2016 National Implementation Framework The Government's National Housing Strategy for People with a Disability was published in October 2011 by the Department of the Environment, Community & Local Government and the Department of Health. The strategy covers the period to 2016 and outlines the broad proposals and strategic objectives involved in effectively addressing the housing and related support needs of people with disabilities. The Implementation Framework develops the key actions from the Strategy and assigns responsibilities to stakeholders, within relevant timelines, and provides key performance indicators, as appropriate.   Click here to download PDF 3.8mb

Review of Measures to Reduce Costs in the Private Health Insurance Market 2013

This report was prepared independently by Mr McLoughlin with the insurers support, for consideration by the Minister for Health and the insurers.  All parties were very conscious of the importance of respecting competition law when dealing with issues such as prices and costs. The Phase 1 report contains 32 recommendations under 9 headings as follows: Most of the recommendations in the Phase 1 report could be implemented on an administrative basis, while a small number, if adopted, would require legislation. Some of the key recommendations to drive down costs are can be summarised as follows: Controlling costs in private health insurance Care settings and use of resources Age structure of the market Clinical audit and utilisation management Industry approach to private psychiatry Fraud, waste and abuse Chronic disease management Claims processing Admission and discharge procedures and processes. Most of the recommendations in the Phase 1 report could be implemented on an administrative basis, while a small number, if adopted, would require legislation.

Espais femenins en l'obra de Paul Gauguin

La societat actual figura arrelada a un discurs sobre el femení, que desenvolupat durant el segle XVIII s'ha anat obrint camí insistentment a través de les imatges. A través de l'obra del pintor Paul Gauguin aquest treball presten mostrar que el confinament de la dona a l'espai domèstic i la pretesa relació d'aquesta amb altres elements és fruit de la mateixa ideologia que confina a la dona a l'espai privat i a l'home a l'espai públic.

Review of Measures to Reduce Costs in the Private Health Insurance Market 2014

5.11.2014 This report was prepared independently by Mr McLoughlin with the support of the health insurers, and the Health Insurance Authority, for consideration by the Minister for Health and the insurers.  All parties were very conscious of the importance of respecting competition law when dealing with issues such as prices and costs. The work of the Group has been conducted in two phases, with the first phase report published on 26 December 2013. The Phase 1 report sets out the context, establishment, membership and terms of reference for both phases of the Groups work.  The report also outlines the legislative provisions for private health insurance in Ireland, the objectives of both phases of the review and the approach and methodology followed. Phase 2 of the process focused on the compilation and analysis by the Health Insurance Authority (HIA) of claims data to assess the cost drivers for health insurance, the effects of medical technology and innovations on costs, and claims processing issues.The report and submissions from relevant stakeholders which were examined and considered under the Phase 2 Review can be downloaded below. Download the Review of Measures to Reduce Costs in the Private Health Insurance Market 2014 -  Independent Report to the Minister for Health and Health Insurance Council here. Submissions received HSE Submission to Pat McLoughlin, Chair of Review Group IHAI submission 11 April 2014 IHCA submission to Chair 1 May 2014 Insurance Ireland submission Society of Actuaries in Ireland submission St. Patricks Mental Health Services submission April 2014 St John of Gods Submission        

Neurological conditions: involvement to improve service delivery

A major, ongoing Public Health Agency led consultation exercise has identified 12 recommendations to improve the lives of the 48,000 people, and their carers, who experience neurological conditions across Northern Ireland. These recommendations will form the basis of an action plan to improve service delivery and support for those experiencing a range of conditions, such as epilepsy, Huntington's Disease, Parkinson's Disease, progressive supranuclear palsy (PSP) and multiple sclerosis (MS).The recommendations cover four areas:accurate information and diagnosis;control and choice, particularly self-management and person-centred services;day-to-day living and independence, including finance, employment, social life and ability to get out and about;emotional and psychological impact on individuals and families, eg the support available to deal with stress, fear, frustration, isolation, loss and vulnerability associated with living with a neurological condition.The report was launched at a regional workshop, held in Cookstown (today) and co-ordinated through the Neurological Conditions Network, which was established to develop this work.Speaking before the workshop, Health Minister Edwin Poots said: "Neurological conditions give rise to complex needs, which require support from a wide range of professionals. They also change lives, both for those directly affected and for their families and carers, and it is so important not to lose sight of this if we are to successfully address the challenges in tackling neurological conditions."Last week, I visited the home of Beth McCune, who suffers from motor neurone disease. I was invited to see for myself the daily challenges faced by Beth and her husband and carer, Arthur, and to hear of their experiences. While I was struck by their courage and patience, this visit underlined again for me the severe life-changing impact of the disease."At present, there are some 48,000 people in Northern Ireland living with neurological conditions. It was in recognition of the needs of men and women like Beth that my department requested the establishment of the Neurological Conditions Network and provided the necessary funding to support it."Michelle Tennyson, PHA Assistant Director and Chair of the Neurological Conditions Network, said: "This detailed engagement exercise was undertaken to get the views and quality of life experiences of those affected by these conditions. We tried to ensure everyone who wanted to contribute could, by providing support through helplines, the internet and face-to-face events. I am honoured that so many people have trusted us with their experiences to help us make a difference and was privileged to be invited into the home of Beth and Arthur McCune for the same reason."The recommendations cover a range of conditions and their implementation will need cooperation and action from professionals, service users, voluntary organizations and others, across many sectors and agencies. The network is looking forward to delivering on these challenging new ways of working to improve the lives of all those affected by neurological conditions."The workshop attracted service users and carers along with delegates from across Northern Ireland's community, voluntary and statutory sectors.If you have a neurological condition, or care for someone who does, and want to share your experiences, please go to: www.publichealth.hscni.net/ncnsurveyYou can also contact Julie Mawhinney, Tel: 028 9032 1313.

Cook it! Fun, fast food for less: community nutrition education programme

This training manual was produced to support the Cook it! programme, which was specially developed for use in Northern Ireland. The Cook it! programme is delivered in the community by trained facilitators and can be used with a wide range of groups, including young/single parents, young people leaving residential care, offenders during rehabilitation programmes, older people in sheltered accomodation etc.The manual contains all the information needed to deliver Cook it! programmes in the community, including background information on healthy eating, information about dealing with special dietary requirements, sessions outlines, photocopiable resources and 75 recipes for snacks and meals.This updated version replaces the March 2007 edition.For information on training as a Cook it! facilitator, contact the health promotion service in your local Health and Social Care Trust.

Watching your Weight in Pregnancy

Pregnant women in the Southern Health and Social Care Trust area are learning how to manage their weight as a result of a project being funded by the Public Health Agency.The 'Watching your Weight in Pregnancy' project, being delivered by the Southern Health and Social Care Trust, got underway in December 2011 to address the rising levels of obesity across the southern area. It also aims to reduce the impact that obesity can have on the health of women and their unborn children during pregnancy and birth.Two pilot programmes are currently underway in the Kilkeel area teaching both antenatal and post natal women that feeling good about yourself and your baby is important during pregnancy.The programmes provide information about managing weight during and after pregnancy and include advice on good nutrition along with opportunities to take part in appropriate physical activities. As part of the project, there have also been training sessions for midwives in the Southern HSC Trust on healthier eating and physical activity during pregnancy.Patricia McStay, Southern Trust Head of Midwifery, explained why there was a need for this project: "Every woman wants a healthy baby and we are supporting the women to improve their own health and wellbeing. We have been seeing increasing numbers of women who are overweight or obese at their first contact with the midwife. We want to support these women to manage their weight gain in pregnancy to reduce the risk of experiencing health complications such as high blood pressure, and diabetes in pregnancy."Angela McComb, Health and Social Wellbeing Improvement Manager, for the PHA, said: "The southern office of the PHA recognised the many risks associated with obesity in pregnancy, both to the mother and her baby, and allocated funding for this pilot project to test out ways in which these health risks can be reduced. "We look forward to seeing the results of the evaluation which will inform the further development of effective approaches to support pregnant women to manage their weight both locally and across Northern Ireland."

Modular analysis of gene expression data with R.

SUMMARY: Large sets of data, such as expression profiles from many samples, require analytic tools to reduce their complexity. The Iterative Signature Algorithm (ISA) is a biclustering algorithm. It was designed to decompose a large set of data into so-called 'modules'. In the context of gene expression data, these modules consist of subsets of genes that exhibit a coherent expression profile only over a subset of microarray experiments. Genes and arrays may be attributed to multiple modules and the level of required coherence can be varied resulting in different 'resolutions' of the modular mapping. In this short note, we introduce two BioConductor software packages written in GNU R: The isa2 package includes an optimized implementation of the ISA and the eisa package provides a convenient interface to run the ISA, visualize its output and put the biclusters into biological context. Potential users of these packages are all R and BioConductor users dealing with tabular (e.g. gene expression) data. AVAILABILITY: http://www.unil.ch/cbg/ISA CONTACT: sven.bergmann@unil.ch