IPH response to the HIQA consultation on the National Demographic Dataset and Guidance for use in health and social care settings in Ireland

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 have previously responded to consultations to the Department of Health’s Discussion Paper on the Proposed Health Information Bill (June 2008), the Health Information and Quality Authority on their Corporate Plan (Oct 2007), and the Road Safety Authority of Ireland Road Safety Strategy (Jul 2012). IPH supports the development of a national standard demographic dataset for use within the health and social care services. Provided necessary safeguards are put in place (such as ethics and data protection) and the purpose of collecting the information is fully explained to subjects, mandatory provision of a minimum demographic dataset is usually the best way to achieve the necessary coverage and data quality. Demographic information is needed in several forms to support the public health function: Detailed aggregated information for comparison to population counts in order to assess equity of access to healthcare as well as examining population patterns and trends in morbidity and mortality Accurate demographic information for the surveillance of infectious disease outbreaks, monitoring vaccination programmes, setting priorities for public health interventions Linked to other data outside of health and social care such as population data, survey data, and longitudinal studies for research and analysis purposes.   Identify and address public health issues to tackle health inequalities, and to monitor the success of such efforts to tackle them.

Information Mobility: Information Dissemination in Mobile Networks

En el nostre projecte, considerem un escenari urbà o interurbà on persones amb dispositius mòbils (smartphones) o vehicles equipats amb interfícies de comunicació, estan interessats en compartir fitxers entre ells o descarregar-los al creuar Punts d’Accés (APs) propers a la carretera. Estudiem la possibilitat d’utilizar la cooperació en les trobades casuals entre nodes per augmentar la velocitat de descàrrega global. Amb aquest objectiu, plantejem algoritmes per a la selecció de quins paquets, per a quins destins i quins transportistes s’escullen en cada moment. Mitjançant extenses simulacions, mostrem com les cooperacions carry&forward dels nodes augmenten significativament la velocitat de descàrrega dels usuaris, i com aquest resultat es manté per a diversos patrons de mobilitat, col•locacions d'AP i càrregues de la xarxa. Per altra banda, aparells com els smartphones, on la targeta de WiFi està encesa contínuament, consumeixen l'energia de la bateria en poques hores. En molts escenaris, una targeta WiFi sempre activa és poc útil, perque sovint no hi ha necessitat de transmissió o recepció. Aquest fet es veu agreujat en les Delay Tolerant Networks (DTN), on els nodes intercanvien dades quan es creuen i en tenen l’oportunitat. Les tècniques de gestió de l’estalvi d’energia permeten extendre la duració de les bateries. El nostre projecte analitza els avantatges i inconvenients que apareixen quan els nodes apaguen períodicament la seva targeta wireless per a estalviar energia en escenaris DTN. Els nostres resultats mostren les condicions en que un node pot desconnectar la bateria sense afectar la probabilitat de contacte amb altres nodes, i les condicions en que aquesta disminueix. Per exemple, es demostra que la vida del node pot ser duplicada mantenint la probabilitat de contacte a 1. I que aquesta disminueix ràpidament en intentar augmentar més la vida útil.

Information systems for water resources management improvement in developing countries

Water resources management, as also water service provision projects in developing countries have difficulties to take adequate decisions due to scarce reliable information, and a lack of proper information managing. Some appropriate tools need to be developed in order to improve decision making to improve water management and access of the poorest, through the design of Decision Support Systems (DSS). On the one side, a DSS for developing co-operation projects on water access improvement has been developed. Such a tool has specific context constrains (structure of the system, software requirements) and needs (Logical Framework Approach monitoring, organizational-learning, accountability and evaluation) that shall be considered for its design. Key aspects for its successful implementation have appeared to be a participatory design of the system and support of the managerial positions at the inception phase. A case study in Tanzania was conducted, together with the Spanish NGO ONGAWA – Ingeniería para el Desarrollo. On the other side, DSS are required also to improve decision making on water management resources in order to achieve a sustainable development that not only improves the living conditions of the population in developing countries, but that also does not hinder opportunities of the poorest on those context. A DSS made to fulfil these requirements shall be using information from water resources modelling, as also on the environment and the social context. Through the research, a case study has been conducted in the Central Rift Valley of Ethiopia, an endhorreic basin 160 km south of Addis Ababa. There, water has been modelled using ArcSWAT, a physically based model which can assess the impact of land management practices on large complex watersheds with varying soils, land use and management conditions over long periods of time. Moreover, governance on water and environment as also the socioeconomic context have been studied.

La recherche au sein des hautes écoles spécialisées 2012: descriptions, analyses, conclusions

Résumé Contexte et objectifs Les activités de recherche appliquée et développement (Ra&D) font partie du mandat de prestations des hautes écoles spécialisées (HES) prescrit par la loi. Néanmoins la tradition, le type et l'importance de la recherche varient fortement en fonction des domaines d'études. Il en va de même pour les liens avec les autres domaines de prestations que sont l'enseignement, la formation continue et les prestations de services. Les activités de Ra&D dans chaque HES s'inscrivent dans la tension entre l'orientation pratique (qui signifie le plus souvent une orientation vers le marché économique) et l'orientation vers la science (signe de leur rattachement au système scientifique). Il en découle des conflits d'intérêts entre les critères de qualité du « succès sur le marché » et de la « réputation scientifique ». En 2005, sur mandat de la Commission pour la technologie et l'innovation (CTI), B. Lepori et L. Attar (2006) ont mené une étude visant à examiner plus particulièrement les stratégies de recherche et l'organisation de la recherche au sein des hautes écoles spécialisées. Aujourd'hui, six ans plus tard, la phase de mise sur pied est en grande partie terminée. En lançant une nouvelle étude, l'Office fédéral de la formation professionnelle et de la technologie (OFFT) et la Commission fédérale des hautes écoles spécialisées (CFHES) souhaitaient faire le point sur les activités de recherche des HES, c'està- dire examiner les résultats des stratégies et de l'organisation de cette phase. Cette étude s'articule principalement autour de l'état actuel de la recherche, de ses problèmes et de ses perspectives. Structure de l'étude La recherche dans les HES se caractérise par différents facteurs d'influence (cultures disciplinaires, traditions, ancrage dans les régions linguistiques, structures organisationnelles, gouvernance, stratégies de positionnement, personnel, etc.). Dans la présente étude, ces facteurs sont systématiquement examinés selon deux dimensions: le « domaine d'études » et la « haute école spécialisée». L'analyse repose notamment sur l'exploitation de documents et de données. Mais cette étude se fonde principalement sur les entretiens menés avec les représentants des HES à différents niveaux de responsabilités. Les hautes écoles spécialisées (HES) Les entretiens avec les directions des HES ainsi que l'exploitation des données et des documents mettent en évidence la grande diversité des sept HES suisses de droit public dans leur structure, leurs combinaisons de domaines d'études et leurs orientations. Les modes de financement de la recherche varient fortement entre les HES. Concrètement, les sources de financement ne sont pas les mêmes d'une HES à l'autre (contributions des organes responsables, fonds de tiers, etc.). Les degrés et formes du pilotage concernant les contenus de la recherche diffèrent également dans une large mesure (définition de pôles de recherche, soutien cumulatif à l'acquisition de fonds de tiers), de même que les stratégies en matière de recrutement et d'encouragement du personnel. La politique de chaque HES implique des tensions et des problèmes spécifiques. Les domaines d'études Sur les dix domaines d'études, quatre ont été choisis à titre d'exemples pour des études approfondies : Technique et technologies de l'information (TI), Economie et services, Travail social, Musique, arts de la scène et autres arts. Chaque domaine d'études a été examiné à chaque fois dans deux HES. Cette méthode permet de relever les différences et les similitudes. Les résultats confirment qu'il existe des différences importantes à bien des égards entre les domaines d'études évalués. Ces différences concernent la position dans le système des hautes écoles, le volume des activités de recherche, l'importance de la recherche au sein des HES, la tradition, l'identité et l'orientation. Elles se retrouvent par ailleurs dans les buts et la place de la Ra&D dans les domaines d'études concernés. Il ressort toutefois qu'il n'y a pas lieu de parler d'une dichotomie entre les « anciens » et les « nouveaux » domaines d'études : Technique, économie et design (TED) d'une part et Santé, social et arts (SSA) d'autre part. Il semble plus pertinent de désigner le domaine d'études 4/144 Technique et TI comme le domaine dominant auquel se référent le pilotage et le financement des HES, que ce soit implicitement ou explicitement. Cadre homogène et espaces hétérogènes Le pilotage et le financement de la Ra&D au sein des hautes écoles spécialisées s'inscrivent dans un modèle-cadre fixé à l'échelle fédérale et principalement axé sur le domaine d'études Technique. Ce modèle-cadre se caractérise par un apport élevé de fonds de tiers (notamment les subventions de la CTI et les fonds privés) et des incitations en faveur de ce mode de financement, par une orientation vers le marché et par un haut degré d'autonomie des établissements partenaires/départements et instituts. Par comparaison avec les hautes écoles universitaires, les HES affichent notamment un faible niveau de financement de base dans le secteur Ra&D. Cet état de fait est certes compatible avec la forme actuelle du financement par la CTI, mais pas avec les règles de financement du Fonds national suisse (FNS). Un financement principalement basé sur les fonds de tiers signifie par ailleurs que l'orientation du contenu de la recherche et la définition de critères de qualité sont confiées à des instances externes, notamment aux mandants et aux institutions d'encouragement de la recherche. Il apparaît en dernier lieu qu'un tel modèle-cadre ne favorise pas les politiques visant à la constitution de pôles de recherche, l'obtention d'une taille critique, et la mise en place d'une coordination. Ces résultats concernent tous les domaines d'études sans avoir pour autant les mêmes conséquences : les domaines d'études se prêtant dans une faible mesure à l'acquisition de fonds de tiers sur des marchés économiques (dans cette étude, il s'agit essentiellement de la Musique, arts de la scène et autres arts, mais également du Travail social dans certains cas) ont plus de difficultés à répondre aux attentes énoncées en termes de succès et de profit. Les HES modifient plus ou moins le modèle-cadre en élaborant elles-mêmes des modèles d'organisation qui prennent en compte leur combinaison de domaines d'études et soutiennent leurs propres orientations et positionnements stratégiques. La combinaison de domaines d'études hétérogènes et de politiques différentes au sein des HES se traduit par une complexité du système des HES, beaucoup plus importante que ce que généralement supposée. De plus, au regard des connaissances lacunaires sur les structures « réelles » de gouvernance des HES, il n'est quasiment pas possible de comparer directement les hautes écoles spécialisées entre elles. Conclusions et recommandations Le principal constat qui ressort d'un ensemble de conclusions et de recommandations des auteurs est que le secteur Ra&D dans les HES doit être plus explicitement évalué en fonction des spécificités des domaines d'études, à savoir du rôle de la recherche pour l'économie et la société, des différences entre les marchés (économiques) correspondants et de l'importance de la Ra&D pour les objectifs visés. L'étude montre clairement qu'il n'y a pas à proprement parler une seule et unique recherche au sein des hautes écoles spécialisées et que la notion de « recherche appliquée » ne suffit ni comme description ni, par conséquence, comme critère d'identité commun. Partant de ce constat, nous recommandons de revoir le mode de financement de la recherche dans les HES et d'approfondir le débat sur les structures de gouvernance sur l'orientation de la Ra&D (et notamment sur les critères de qualité appliqués), de même que sur l'autonomie et la coordination. Les recommandations constituent des points de discussion et n'engagent aucunement l'OFFT ou la CFHES.

Mental health and growing up factsheet. Cannabis and mental health: information for young people.

About this leaflet This is one in a series of leaflets for parents, teachers and young people entitled Mental Health and Growing Up. These leaflets aim to provide practical, up-to-date information about mental health problems (emotional, behavioural and psychiatric disorders) that can affect children and young people. This leaflet gives you some basic facts about cannabis and also how it might affect your mental health. Introduction Lots of young people want to know about drugs. Often, people around you are taking them, and you may wonder how it will make you feel. You may even feel under pressure to use drugs in order to fit in, or be â?~coolâ?T. You may have heard that cannabis is no worse than cigarettes, or that it is harmless. What is cannabis? The cannabis plant is a member of the nettle family that has grown wild throughout the world for centuries. People have used it for lots of reasons, other than the popular relaxing effect. It comes in two main forms: ï,§ resin, which is a brown black lump also known as bhang, ganja or hashish ï,§ herbal cannabis, which is made up of the dried leaves and flowering tops, and is known as grass, marijuana, spliff, weed, etc. Skunk cannabis is made from a cannabis plant that has more active chemicals in it (THC), and the effect on your brain is stronger. Because â?~streetâ?T cannabis varies so much in strength, you will not be able to tell exactly how it will make you feel at any particular time. What does it do to you? When you smoke cannabis, the active compounds reach your brain quickly through your bloodstream. It then binds/sticks to a special receptor in your brain. This causes your nerve cells to release different chemicals, and causes the effects that you feel. These effects can be enjoyable or unpleasant. Often the bad effects take longer to appear than the pleasant ones. ï,§ Good/pleasant effects: You may feel relaxed and talkative, and colours or music may seem more intense. ï,§ Unpleasant effects: Feeling sick/panicky, feeling paranoid or hearing voices, feeling depressed and unmotivated. Unfortunately, some people can find cannabis addictive and so have trouble stopping use even when they are not enjoying it. The effects on your mental health Using cannabis triggers mental health problems in people who seemed to be well before, or it can worsen any mental health problems you already have. Research has shown that people who are already at risk of developing mental health problems are more likely to start showing symptoms of mental illness if they use cannabis regularly. For example if someone in your family has depression or schizophrenia, you are at higher risk of getting these illness when you use cannabis. The younger you are when you start using it, the more you may be at risk. This is because your brain is still developing and can be more easily damaged by the active chemicals in cannabis. If you stop using cannabis once you have started to show symptoms of mental illness, such as depression, paranoia or hearing voices, these symptoms may go away. However, not everyone will get better just by stopping smoking. If you go on using cannabis, the symptoms can get worse. It can also make any treatment that your doctor might prescribe for you, work less well. Your illness may come back more quickly, and more often if you continue to use cannabis once you get well again. Some people with mental health problems find that using cannabis makes them feel a bit better for a while. Unfortunately this does not last, and it does nothing to treat the illness. In fact, it may delay you from getting help you need and the illness may get worse in the longer term. [For the full factsheet, click on the link above]This resource was contributed by The National Documentation Centre on Drug Use.

Health at a glance: Europe 2012.

This second edition of Health at a Glance: Europe presents a set of key indicators of health and health systems in 35 European countries, including the 27 European Union member states, 5 candidate countries and 3 EFTA countries. The selection of indicators is based largely on the European Community Health Indicators (ECHI) shortlist, a list of indicators that has been developed by the European Commission to guide the development and reporting of health statistics. It is complemented by additional indicators on health expenditure and quality of care, building on the OECD expertise in these areas. Contents: Introduction 12 Chapter 1. Health status 15 1.1. Life expectancy and healthy life expectancy at birth 1.2. Life expectancy and healthy life expectancy at age 65 1.3. Mortality from all causes 1.4. Mortality from heart disease and stroke 1.5. Mortality from cancer 1.6. Mortality from transport accidents 1.7. Suicide 1.8. Infant mortality 1.9. Infant health: Low birth weight 1.10. Self-reported health and disability 1.11. Incidence of selected communicable diseases 1.12. HIV/AIDS 1.13. Cancer incidence 1.14. Diabetes prevalence and incidence 1.15. Dementia prevalence 1.16. Asthma and COPD prevalence Chapter 2. Determinants of health 49 2.1. Smoking and alcohol consumption among children 2.2. Overweight and obesity among children 2.3. Fruit and vegetable consumption among children 2.4. Physical activity among children 2.5. Smoking among adults 2.6. Alcohol consumption among adults 2.7. Overweight and obesity among adults 2.8. Fruit and vegetable consumption among adults Chapter 3. Health care resources and activities 67 3.1. Medical doctors 3.2. Consultations with doctors 3.3. Nurses 3.4. Medical technologies: CT scanners and MRI units 3.5. Hospital beds 3.6. Hospital discharges 3.7. Average length of stay in hospitals 3.8. Cardiac procedures (coronary angioplasty) 3.9. Cataract surgeries 3.10. Hip and knee replacement 3.11. Pharmaceutical consumption 3.12. Unmet health care needs Chapter 4. Quality of care 93 Care for chronic conditions 4.1. Avoidable admissions: Respiratory diseases 4.2. Avoidable admissions: Uncontrolled diabetes Acute care 4.3. In-hospital mortality following acute myocardial infarction 4.4. In-hospital mortality following stroke Patient safety 4.5. Procedural or postoperative complications 4.6. Obstetric trauma Cancer care 4.7. Screening, survival and mortality for cervical cancer 4.8. Screening, survival and mortality for breast cancer 4.9. Screening, survival and mortality for colorectal cancer Care for communicable diseases 4.10. Childhood vaccination programmes 4.11. Influenza vaccination for older people Chapter 5. Health expenditure and financing 117 5.1. Coverage for health care 5.2. Health expenditure per capita 5.3. Health expenditure in relation to GDP 5.4. Health expenditure by function. 5.5. Pharmaceutical expenditure 5.6. Financing of health care 5.7. Trade in health services Bibliography 133 Annex A. Additional information on demographic and economic context 143 Most European countries have reduced tobacco consumption via public awareness campaigns, advertising bans and increased taxation. The percentage of adults who smoke daily is below 15% in Sweden and Iceland, from over 30% in 1980. At the other end of the scale, over 30% of adults in Greece smoke daily. Smoking rates continue to be high in Bulgaria, Ireland and Latvia (Figure 2.5.1). Alcohol consumption has also fallen in many European countries. Curbs on advertising, sales restrictions and taxation have all proven to be effective measures. Traditional wine-producing countries, such as France, Italy and Spain, have seen consumption per capita fall substantially since 1980. Alcohol consumption per adult rose significantly in a number of countries, including Cyprus, Finland and Ireland (Figure 2.6.1).This resource was contributed by The National Documentation Centre on Drug Use.

CRNINI workshop: Ethics in Research with children

Guidance for ethical research projects   •Good practice in children’s research •Building on knowledge gained in GUI •Initiated by DCYA   •Produced by Working Group with research, legal, policy and child protection expertise   Patricia's presentation is an analysis of at data from the Growing Up in Ireland study:  The relationship between family tranisitions and children's well being.

Ethics masterclass programme

The Department of Children and Youth Affairs (DCYA) recently launched ‘Guidance for developing ethical research projects involving children’. The Guidance considers ethical principles and concepts in research with children and presents a checklist for the design and conduct of research.  In this the third master class of the Children's Research Network for Ireland and Northern Ireland, participants will have an opportunity to respond to the Guidance and to discuss ethical issues in their work. The workshop will also provide participants with the opportunity to discuss the challenges facing the community and voluntary sector in applying and monitoring ethical standards in their work in the absence of formal/institutional ethics committees

Ethics workshop presentations

Guidance for developing ethical research projects involving children.

The Marmot Review: Updated data and information 2 years on

To mark the two year anniversary since The Marmot Review ('Fair Society, Healthy Lives') was published, on the 15th of February the UCL Institute of Health Equity published new data on key health inequalities indicators at local authority level in England.Main Findings:Life Expectancy – this has historically been one of the main indicators of health inequalities.The Marmot Indicators from this year’s charts show the average life expectancy for eachlocal authority and the level of inequality within each authority area (7):-While overall life expectancy at birth in England increased by 0.3 years for both menand women between 2007-9 and 2008-10, inequalities in life expectancy betweenneighbourhoods increased by 0.1 years for men and showed no change for women-Among the 150 upper tier local authorities in England, life expectancy improved inthe majority of cases (133 areas saw improvements for men and 125 sawimprovements for women). However inequalities also increased in the majority ofareas (104 for men and 92 for women).-The largest increase in inequality in life expectancy was in West Berkshire for men(2.0 years) and inMiddlesbrough for women (2 years). The largest decreases ininequality were in Kensington and Chelsea for both men and women (1.9 and 1.1years respectively. To find out more, please read: - The press release, including key figures and main findings. - A blog by Michael Marmot about the data and it's implications. - Press coverage of the data in national and local newspapers and websites. - A powerpoint presentation on the key findings.

Framework for the Junior Cycle - Information on the Framework

The Framework for Junior Cycle (The Framework) was published in October 2012. It is based on the National Council for Curriculum and Assessment’s advice to the Department as set out in Towards a Framework for Junior Cycle (November 2011) and on research into education for our young people aged 12 to 15 / 16 years. The Framework document can be downloaded from www.education.ie and www.ncca.

Listeria information sheet

Information and advice on Listeria.