Department of Health and Children Consolidated Salary Scales effective from June 2007

Department of Health and Children Consolidated Salary Scales effective from June 2007 For the 1st worksheet, the pay-scales for grades read across. The current rate (1/06/07), 2% (2.5% if earning less than â,¬20,859 per annum) Towards 2016 and one historical rate are shown for the 1st worksheet. The grades within each section are displayed in the same order as in previous Pay Scales. Click here to download PDF 173kb

Department of Health and Children Consolidated Salary Scales effective from March 2008

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Department of Health and Children Consolidated Salary Scales effective from 1st September 2008

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Revised Salary Scales for Medical Consultants with effect from 1 January 2009

Revised Salary Scales for Medical Consultants with effect from 1 January 2009 Click here to download PDF 56kb

Department of Health and Children Consolidated Salary Scales effective from 1st Jan 2010

Department of Health and Children Consolidated Salary Scales effective from 1st Jan 2010 Click here to download PDF 224KB

Revised Consolidated Salary Scales for New Entrants effective from 1 January 2011

Revised Consolidated Salary Scales for New Entrants effective from 1 January 2011 Click here to download PDF 5.65MB

Department of Health and Children Consolidated Salary Scales effective from 1st July 2013

Consolidated Salary Scales effective from 1st July 2013 Click here to download PDF 4.47MB

Department of Health and Children Consolidated Salary Scales - Clause 2.31 of the Haddington Road Agreement

CONSOLIDATED SALARY SCALES IN ACCORDANCE WITH CLAUSE 2.31 OF THE HADDINGTON ROAD AGREEMENT These scales must be read in conjunction with Department of Health Circular 3/2014 With reference to Clause 2.31 of the Haddington Road Agreement (HRA) which addresses the remuneration of new entrant grades who entered the Public Service on or after 1 January 2011 and were subject to Department of Health Circular 2/2011 dated 24 March 2011.   New entrants to health sector recruitment grades, who were subject to the 2011 reduced pay rates will be assimilated to the revised/merged incremental payscale as and from 1 November 2013. Download the document here

Critical evaluation of outcome scales assessment of lateral ankle ligament reconstruction

Introduction: Les résultats d'une chirurgie du pied et de la cheville peuvent être évalués par des scores spécifiques à la région anatomique ainsi que par des scores spécifiques à la pathologie. Beaucoup de scores existent rendant la comparaison entre les études difficile. La présente étude se focalise sur une pathologie fréquente du pied et de la cheville et compare les résultats obtenu par deux scores spécifiques à la région et deux scores spécifiques à la pathologie. Méthode: Nous avons revu 41 patients ayant bénéficié d'une plastie ligamentaire externe de la cheville. Quatre scores ont été administrés simultanément: the Cumberland Ankle Instability Tool (CAIT) et the Chronic Ankle Instability Scale (CAIS), spécifiques à la pathologie, the American Orthopedic Foot & Ankle Society (AOFAS) hindfoot scale et the Foot and Ankle Ability Measure comprenant deux parties (FAAM1 et FAAM2), spécifiques à la région anatomique. Le degré de corrélation entre les scores a été évalué par le coefficient de corrélation de Pearson. L'analyse graphique des variances a été utilisée pour le choix de tests paramétriques versus non paramétriques. Des tests non paramétriques, le Kruskal-Wallis pour éliminer l'hypothèse nulle et le Mann-Whitney pour la comparaison entre les scores deux à deux, ont été utilisés. Résultats: Une différence significative (p<.005) a été démontrée entre le CAIS et l'AOFAS (p=.0002), entre le CAIS et le FAAM1 (p=.0001) et entre le CAIT et l'AOFAS (p=.0003) Conclusions: Cette étude compare les performances de quatre scores dont deux spécifiques à la région anatomique et deux spécifiques à la pathologie. Nous avons démontré une bonne corrélation entre les scores ainsi que des différences significatives entre les résultats obtenus par chacun d'eux. Les résultats obtenus par les scores spécifiques à la pathologie semblent être plus précis que ceux obtenus par les scores spécifiques à la région anatomique. De plus, nous avons mis en évidence une forte corrélation entre l'AOFAS et les autres scores. Le FAAM semble être un bon compromis car il offre la possibilité, du fait de ses deux parties, d'évaluer le résultat en fonction de la demande fonctionnelle du patient. Perspectives: Un algorithme est proposé qui permet d'évaluer la littérature spécifique de manière plus critique et peut s'adapter également à la recherche et à la clinique relative à d'autres pathologies du pied et de la cheville

Mixing compositions and other scales

Theory of compositional data analysis is often focused on the composition only. However in practical applications we often treat a composition together with covariableswith some other scale. This contribution systematically gathers and develop statistical tools for this situation. For instance, for the graphical display of the dependenceof a composition with a categorical variable, a colored set of ternary diagrams mightbe a good idea for a first look at the data, but it will fast hide important aspects ifthe composition has many parts, or it takes extreme values. On the other hand colored scatterplots of ilr components could not be very instructive for the analyst, if theconventional, black-box ilr is used.Thinking on terms of the Euclidean structure of the simplex, we suggest to set upappropriate projections, which on one side show the compositional geometry and on theother side are still comprehensible by a non-expert analyst, readable for all locations andscales of the data. This is e.g. done by defining special balance displays with carefully-selected axes. Following this idea, we need to systematically ask how to display, explore,describe, and test the relation to complementary or explanatory data of categorical, real,ratio or again compositional scales.This contribution shows that it is sufficient to use some basic concepts and very fewadvanced tools from multivariate statistics (principal covariances, multivariate linearmodels, trellis or parallel plots, etc.) to build appropriate procedures for all these combinations of scales. This has some fundamental implications in their software implementation, and how might they be taught to analysts not already experts in multivariateanalysis

Validation of order rank scales based on compositional data analysis: a proposal

Usually, psychometricians apply classical factorial analysis to evaluate construct validity of order rankscales. Nevertheless, these scales have particular characteristics that must be taken into account: totalscores and rank are highly relevant

Lutzomyia longipalpis abundance in the city of Posadas, northeastern Argentina: variations at different spatial scales

The distribution of Lutzomyia longipalpis is heterogeneous with a pattern of high abundance areas (HAAs) embedded in a matrix of low abundance areas (LAAs). The objective of this study was to describe the variability in the abundance of Lu. longipalpis at two different spatial levels and to analyse the relationship between the abundance and multiple environmental variables. Of the environmental variables analysed in each household, the condition that best explained the differences in vector abundance between HAA-LAA was the variable "land_grass", with greater average values in the peridomestic environments within the LAA, and the variables "#sp tree", "#pots" and "dist_water" that were higher in the HAA. Of the environmental variables analysed in the patches, the variable "unpaved_streets" was higher in the LAAs and the variable "prop_inf_dogs" was higher in the HAAs. An understanding of the main environmental variables that influence the vector distribution could contribute to the development of strategies for the prevention and control of visceral leishmaniasis (VL). This is the first work in which environmental variables are analysed at the micro-scale in urban areas at the southern edge of the current range of Lu. longipalpis. Our results represent a significant contribution to the understanding of the abundance of the vector in the peridomestic habitats of the region.

Estimating Gross Value Added (GVA) across multiple scales: theoretical approach and empirical validation

This paper presents an application of the Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MuSIASEM) approach to the estimation of quantities of Gross Value Added (GVA) referring to economic entities defined at different scales of study. The method first estimates benchmark values of the pace of GVA generation per hour of labour across economic sectors. These values are estimated as intensive variables –e.g. €/hour– by dividing the various sectorial GVA of the country (expressed in € per year) by the hours of paid work in that same sector per year. This assessment is obtained using data referring to national statistics (top down information referring to the national level). Then, the approach uses bottom-up information (the number of hours of paid work in the various economic sectors of an economic entity –e.g. a city or a province– operating within the country) to estimate the amount of GVA produced by that entity. This estimate is obtained by multiplying the number of hours of work in each sector in the economic entity by the benchmark value of GVA generation per hour of work of that particular sector (national average). This method is applied and tested on two different socio-economic systems: (i) Catalonia (considered level n) and Barcelona (considered level n-1); and (ii) the region of Lima (considered level n) and Lima Metropolitan Area (considered level n-1). In both cases, the GVA per year of the local economic entity –Barcelona and Lima Metropolitan Area – is estimated and the resulting value is compared with GVA data provided by statistical offices. The empirical analysis seems to validate the approach, even though the case of Lima Metropolitan Area indicates a need for additional care when dealing with the estimate of GVA in primary sectors (agriculture and mining).

Training effects with the observer-rated cognitive errors and the coping action patterns scales

The use of observer-rated scales requires that raters be trained until they have become reliable in using the scales. However, few studies properly report how training in using a given rating scale is conducted or indeed how it should be conducted. This study examined progress in interrater reliability over 6 months of training with two observer-rated scales, the Cognitive Errors Rating Scale and the Coping Action Patterns Rating Scale. The evolution of the intraclass correlation coefficients was modeled using hierarchical linear modeling. Results showed an overall training effect as well as effects of the basic training phase and of the rater calibration phase, the latter being smaller than the former. The results are discussed in terms of implications for rater training in psychotherapy research.