Older People in Ireland A Profile of Health Status, Lifestyle and Socio-Economic Factors from SLÃÅN

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Testing for anaplastic lymphoma kinase rearrangement to target crizotinib therapy: oncology, pathology and health economic perspectives.

Crizotinib is a first-in-class oral anaplastic lymphoma kinase (ALK) inhibitor targeting ALK-rearranged non-small-cell lung cancer. The therapy was approved by the US FDA in August 2011 and received conditional marketing approval by the European Commission in October 2012 for advanced non-small-cell lung cancer. A break-apart FISH-based assay was jointly approved with crizotinib by the FDA. This assay and an immunohistochemistry assay that uses a D5F3 rabbit monoclonal primary antibody were also approved for marketing in Europe in October 2012. While ALK rearrangement has relatively low prevalence, a clinical benefit is exhibited in more than 85% of patients with median progression-free survival of 8-10 months. In this article, the authors summarize the therapy and alternative test strategies for identifying patients who are likely to respond to therapy, including key issues for effective and efficient testing. The key economic considerations regarding the joint companion diagnostic and therapy are also presented. Given the observed clinical benefit and relatively high cost of crizotinib therapy, companion diagnostics should be evaluated relative to response to therapy versus correlation alone whenever possible, and both high inter-rater reliability and external quality assessment programs are warranted.

Value for Money and Policy Review of the Economic Cost and Charges Associated with Private and Semi-Private Treatment Services in Public Hospitals - Final Report

This Value for Money and Policy Review (VFM&PR) of the Economic Cost and Charges Associated with Private and Semi-Private Treatment Services in Public Hospitals was initiated by the Department of Health and Children in June 2009 and was conducted under the auspices of the Governmentâ?Ts Value for Money & Policy Review Initiative 2009-2011. The Review was overseen by an independently chaired National Steering Group comprised of senior representatives from the Department of Health and Children, the Department of Finance, and the Health Service Executive (HSE). Download document here Download Explanatory Note  

Value for Money and Policy Review of the Economic Cost and Charges Associated with Private and Semi-Private Treatment Services in Public Hospitals - Interim Report

This report sets out a revised costing methodology and an estimate of the gap which currently exists between private and semi-private bed charges and the average economic cost. While the Steering Group considers the costing methodology proposed as an improvement on the approach taken in previous years and a good overall approximation of the difference on average between economic costs and current charges, it recognises that the current charging regime does not take sufficient account of the variation between different categories of patient. Download document here Note to Readers

Analyse de la prise en charge médicale et de l'impact économique des patients ayant présentés des coûts extrêmes dans un hôpital universitaire [Analysis of the medical management and the economic impact of patients who have represented extreme costs at a university hospital]

Les coûts de traitement de certains patients s'avèrent extrêmement élevés, et peuvent faire soupçonner une prise en charge médicale inadéquate. Comme I'évolution du remboursement des prestations hospitalières passe à des forfaits par pathologie, il est essentiel de vérifier ce point, d'essayer de déterminer si ce type de patients peut être identifié à leur admission, et de s'assurer que leur devenir soit acceptable. Pour les années 1995 et 1997. les coûts de traitement dépassant de 6 déviations standard le coût moyen de la catégorie diagnostique APDRG ont été identifiés, et les dossiers des 50 patients dont les coûts variables étaient les plus élevés ont été analysés. Le nombre total de patients dont I'hospitalisation a entraîné des coûts extrêmes a passé de 391 en 1995 à 328 patients en 1997 (-16%). En ce qui concerne les 50 patients ayant entraîné les prises en charge les plus chères de manière absolue, les longs séjours dans de multiples services sont fréquents, mais 90% des patients sont sortis de l'hôpital en vie, et près de la moitié directement à domicile. Ils présentaient une variabilité importante de diagnostics et d'interventions, mais pas d'évidence de prise en charge inadéquate. En conclusion, les patients qualifiés de cas extrêmes sur un plan économique, ne le sont pas sur un plan strictement médical, et leur devenir est bon. Face à la pression qu'exercera le passage à un mode de financement par pathologie, les hôpitaux doivent mettre au point un système de revue interne de I'adéquation des prestations fournies basées sur des caractéristiques cliniques, s'ils veulent garantir des soins de qualité. et identifier les éventuelles prestations sous-optimales qu'ils pourraient être amenés à délivrer. [Auteurs] Treatment costs for some patients are extremely high and might let think that medical care could have been inadequate. As hospital financing systems move towards reimbursement by diagnostic groups, it is essential to assess whether inadequate care is provided, to try to identify these patients upon admission, and make sure that their outcome is good. For the years 1995 and 1997, treatment costs exceeding by 6 standard deviations the average cost of their APDRG category were identified, and the charts of the 50 patients with the highest variable costs were analyzed. The total number of patients with such extreme costs diminished from 391 in 1995 to 328 in 1997 (-16%). For the 50 most expensive patients, long stays in several services were frequent, but 90% of these patients left the hospital alive, and about half directly to their home. They presented an important variation in diagnoses and operations, but no evidence for inadequate care. Thus, patients qualified as extreme from an economic perspective cannot be qualified as such from a medical perspective, and their outcome is good. To face the pressure linked with the change in financing system, hospitals must develop an internal review system for assessing the adequacy of care, based on clinical characteristics, if they want to guarantee good quality of care and identify potentially inadequate practice.

Social and economic inequalities in diet and physical activity

This briefing paper describes social and economic inequalities associated with two of the key determinants of obesity - diet and physical activity. The paper also explores possible explanations for these inequalities.

The Economic Impact of Gastroenteritis on the island of Ireland

The main objective of this study was to estimate the economic burden of gastroenteritis on the island of Ireland.

Clustering and hot spot detection in socio-economic spatio-temporal data

Distribution of socio-economic features in urban space is an important source of information for land and transportation planning. The metropolization phenomenon has changed the distribution of types of professions in space and has given birth to different spatial patterns that the urban planner must know in order to plan a sustainable city. Such distributions can be discovered by statistical and learning algorithms through different methods. In this paper, an unsupervised classification method and a cluster detection method are discussed and applied to analyze the socio-economic structure of Switzerland. The unsupervised classification method, based on Ward's classification and self-organized maps, is used to classify the municipalities of the country and allows to reduce a highly-dimensional input information to interpret the socio-economic landscape. The cluster detection method, the spatial scan statistics, is used in a more specific manner in order to detect hot spots of certain types of service activities. The method is applied to the distribution services in the agglomeration of Lausanne. Results show the emergence of new centralities and can be analyzed in both transportation and social terms.

An Introduction to Health Economics & Economic Evaluations

- Overview of Economic Evaluation - Stages in Economic Evaluation  

Understanding socio-economic inequalities affecting older people

In 2012, CARDI was asked by The Office of the First Minister and Deputy First Minister in Northern Ireland to carry out a series of research projects on ageing in Ireland, North and South. This research project, 'Understanding socio-economic inequalities affecting older people’ , was carried out by Paul McGill, CARDI. The research sought to answer the following questions: Are there inequalities that affect older people as a group compared with younger people, or inequalities that exist within the older population? How are these inequalities changing over time? Do these socio-economic inequalities have a detrimental impact on older people or on a substantial number of them? How can any harmful socio-economic inequalities be reduced or eliminated and what are the implications for policy-making? Key Findings*: In RoI the poorest older people had a rise of €32 per week between 2004 and 2011 in total incomes while those with the highest incomes had a rise of €255 (CSO 2013). Total incomes of the poorest pensioner couples in NI did not change between 2003-06 and 2008-11 but the best off had a rise of �37 per week (DSD 2013). Employees aged 60+ earn €10,000 less per year than earners in their peak years in RoI and �2,400 less in NI (CSO Database and NISRA 2012). The richest older people in RoI earn 14 times more from employment than the poorest. In NI it is 36 times more for single pensioners and 44 times more for pensioner couples (CSO 2013; NISRA 2013). The gap in weekly earnings between top and bottom earners aged 60+ in NI rose from �294 to �430 between 2005 and 2012 (NISRA 2012). In the two years 2009-2011 the incomes of the poorest older people in ROI declined by €24 per week (11.4%) (CSO, 2013).

Modelling structural zeros in compositional data

This analysis was stimulated by the real data analysis problem of householdexpenditure data. The full dataset contains expenditure data for a sample of 1224 households. The expenditure is broken down at 2 hierarchical levels: 9 major levels (e.g. housing, food, utilities etc.) and 92 minor levels. There are also 5 factors and 5 covariates at the household level. Not surprisingly, there are a small number of zeros at the major level, but many zeros at the minor level. The question is how best to model the zeros. Clearly, models that tryto add a small amount to the zero terms are not appropriate in general as at least some of the zeros are clearly structural, e.g. alcohol/tobacco for households that are teetotal. The key question then is how to build suitable conditional models. For example, is the sub-composition of spendingexcluding alcohol/tobacco similar for teetotal and non-teetotal households?In other words, we are looking for sub-compositional independence. Also, what determines whether a household is teetotal? Can we assume that it is independent of the composition? In general, whether teetotal will clearly depend on the household level variables, so we need to be able to model this dependence. The other tricky question is that with zeros on more than onecomponent, we need to be able to model dependence and independence of zeros on the different components. Lastly, while some zeros are structural, others may not be, for example, for expenditure on durables, it may be chance as to whether a particular household spends money on durableswithin the sample period. This would clearly be distinguishable if we had longitudinal data, but may still be distinguishable by looking at the distribution, on the assumption that random zeros will usually be for situations where any non-zero expenditure is not small.While this analysis is based on around economic data, the ideas carry over tomany other situations, including geological data, where minerals may be missing for structural reasons (similar to alcohol), or missing because they occur only in random regions which may be missed in a sample (similar to the durables)