An empirical hierarchical Bayesian unification of occupational exposure assessment methods.

In occupational exposure assessment of airborne contaminants, exposure levels can either be estimated through repeated measurements of the pollutant concentration in air, expert judgment or through exposure models that use information on the conditions of exposure as input. In this report, we propose an empirical hierarchical Bayesian model to unify these approaches. Prior to any measurement, the hygienist conducts an assessment to generate prior distributions of exposure determinants. Monte-Carlo samples from these distributions feed two level-2 models: a physical, two-compartment model, and a non-parametric, neural network model trained with existing exposure data. The outputs of these two models are weighted according to the expert's assessment of their relevance to yield predictive distributions of the long-term geometric mean and geometric standard deviation of the worker's exposure profile (level-1 model). Bayesian inferences are then drawn iteratively from subsequent measurements of worker exposure. Any traditional decision strategy based on a comparison with occupational exposure limits (e.g. mean exposure, exceedance strategies) can then be applied. Data on 82 workers exposed to 18 contaminants in 14 companies were used to validate the model with cross-validation techniques. A user-friendly program running the model is available upon request.

A Step in the Right Direction: An Evaluation of the Fáiltiú Information and Advise Service

The Fáiltiú service provides information and advice on rights, entitlements and options to homeless people, or those at risk of homelessness. The objectives of this evaluation were to assess the information needs of users of the service, how effectively they were being met, and how they could be improved. Two focus groups of staff members and service users gave their views on the design and implementation of the research at the outset of the project. A screening questionnaire identified 78 people who used the Fáiltiú service in a specified time period, of whom 40 participated in the evaluation by giving their views on the service. The study reviewed the literature on homelessness, attempted to define the term, and examined the characteristics of homeless people and relevant Irish social policy. The conclusions reached were: users of the Fáiltiú service are marginalized in a number of ways and share characteristics related to poverty and social exclusion, such as poor educational qualifications, high levels of unemployment and experience of prison; their needs are multi-dimensional and include accommodation, financial, social and medical support, and access to employment and training services: the service needs to respond to these needs in a holistic way.This resource was contributed by The National Documentation Centre on Drug Use.

2004 National report to the EMCDDA by the Reitox National Focal Point: Norway: New developments, trends and in-depth information on selected issues.

This is the fourth annual report to the EMCDDA from the Norwegian Institute for Alcohol and Drug Research (SIRUS) on the drugs situation in Norway. The report has been drawn up in accordance with the new reporting guidelines introduced by the EMCDDA this year. We have endeavoured to follow these as consistently as possible, with the main focus on “new developments” and substantial changes in epidemiology, legislation and organisation. To allow readers to obtain more background information the report contains a number of references to the national report for 2003, and occasional references to the report for 2002.This resource was contributed by The National Documentation Centre on Drug Use.

2006 National report (2005 data) to the EMCDDA by the Reitox National Focal Point: Norway: New developments, trends and in-depth information on selected issues.

This is a 2006 national report to the EMCDDA, using 2005 data. It is compiled by the Reitox national focal point and covers epidemiology, policing, strategy, drugs markets, drug-related infectious diseases, drug-related death and problem drug use in Norway.This resource was contributed by The National Documentation Centre on Drug Use.

Impact of a computerized physician order entry system on compliance with prescription accuracy requirements.

OBJECTIVE: To assess the change in non-compliant items in prescription orders following the implementation of a computerized physician order entry (CPOE) system named PreDiMed. SETTING: The department of internal medicine (39 and 38 beds) in two regional hospitals in Canton Vaud, Switzerland. METHOD: The prescription lines in 100 pre- and 100 post-implementation patients' files were classified according to three modes of administration (medicines for oral or other non-parenteral uses; medicines administered parenterally or via nasogastric tube; pro re nata (PRN), as needed) and analyzed for a number of relevant variables constitutive of medical prescriptions. MAIN OUTCOME MEASURE: The monitored variables depended on the pharmaceutical category and included mainly name of medicine, pharmaceutical form, posology and route of administration, diluting solution, flow rate and identification of prescriber. RESULTS: In 2,099 prescription lines, the total number of non-compliant items was 2,265 before CPOE implementation, or 1.079 non-compliant items per line. Two-thirds of these were due to missing information, and the remaining third to incomplete information. In 2,074 prescription lines post-CPOE implementation, the number of non-compliant items had decreased to 221, or 0.107 non-compliant item per line, a dramatic 10-fold decrease (chi(2) = 4615; P < 10(-6)). Limitations of the computerized system were the risk for erroneous items in some non-prefilled fields and ambiguity due to a field with doses shown on commercial products. CONCLUSION: The deployment of PreDiMed in two departments of internal medicine has led to a major improvement in formal aspects of physicians' prescriptions. Some limitations of the first version of PreDiMed were unveiled and are being corrected.

Funding: North Dublin City & County Regional Drugs Task Force

The North Dublin City and County Regional Drugs Task Force invites applications for this once-off funding which will be provided through four pillars by way of a grant up to €3,000 for innovative initiatives: • Prevention, Education & Awareness – to develop programmes and supports in the community which offer information and education in order to generate awareness. • Treatment & Rehabilitation – to develop additional short-term supports for those undertaking treatment for drug misuse or innovative rehabilitative supports. • Research – to undertake local research into drug misuse in North Dublin within the RDTF area. • Supply Reduction – to reduce access to all drugs, in particular those that cause most harm, among young people in neighbourhoods where misuse is most prevalent. Terms and conditions apply. To request an application pack or for more information contact 01 813 1786 orThis resource was contributed by The National Documentation Centre on Drug Use.

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.

Caring for Seniors With Alzheimer's Disease: Canadian Institute for Health Information

Caring for Seniors In 2007-2008, one in five seniors (20%) in Canada receiving long-term home care had a diagnosis of Alzheimer's disease or other dementia. Nearly one in six (17%) of these clients with dementia were suffering from moderate to severe impairment in cognition and daily functioning yet still managed to remain at home.This study from the Canadian Institute for Health Information also found that one in six (17%) seniors with dementia living in residential care facilities (such as nursing or long-term care homes) in 2008-2009 had relatively low levels of impairment or could still perform basic functions quite well on their own. The odds of a senior with low impairment being placed in residential care were seven times more likely if the senior had a tendency to wander. Marital status was also a factor in determining whether a senior with low impairment was newly admitted to a care facility rather than at home with home care. 

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.

Information sources on ethnicity and health and healthcare

This report provides a summary of work to date on a joint regional mapping project of ethnicity and health inequalities. It also covers equity of access to health care and initiatives (national and local) to address health inequalities between ethnic groups.

Information and Intelligence forum presentation 2007: Jon Cox

Presentation from Jon Cox (Norfolk PCT) at the May 2007 Public Health Information and Intelligence forum

Informing healthier choices: Information and intelligence for healthy populations

One of the commitments given in the Choosing Health white paper was to develop and implement a comprehensive public health information and intelligence strategy. This work was led by a specially constituted Task Force and informed by extensive public and professional consultation conducted in 2006. The resulting strategy sets out an approach that will strengthen health information and intelligence resources across England.This document reports on the results of consultation on the strategy.

Finding Public Health Knowledge and Information - A Guide for the South East

The leaflet contains a list of 'key' public health knowledge and information resources and contacts. Last updated August 2007.

Information Update 100 - Feb 2010

An information briefing produced by the Department of Health - South East, based at the Government Office for the South East. The briefing acts as a signpost to public health and social care resources, evidence, policy, news and events.