801 resultados para exclusion criteria


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Non-monetary indicators of deprivation are now widely used in studying poverty in Europe. While measuring financial resources remains central, having reliable information about material deprivation adds to the ability to capture poverty and social exclusion. Non-monetary indicators can help improve the identification of those experiencing poverty and understand how it comes about. They are most productively used when multidimensionality is explicitly taken into account, both in framing the question and in empirical application. While serious methodological and measurement issues remain to be addressed, material deprivation indicators allow for new insights in making poverty comparisons across countries and analyzing changes over time. (C) 2010 by the Association for Public Policy Analysis and Management.

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The life cycle concept has come to have considerable prominence in Irish social policy debate. However, this has occurred without any systematic effort to link its usage to the broader literature relating to the concept. Nor has there been any detailed consideration of how we should set about operationalising the concept. In this paper we argue the need for "macro" life cycle perspectives that have been influenced by recent challenges to the welfare state to be combined with "micro" perspectives focusing on the dynamic and multidimensional nature of social exclusion. We make use of Irish EU-SILC 2005 data in developing a life cycle schema and considering its relationship to a range of indicators of social exclusion. At the European level renewed interest in the life cycle concept is associated with the increasing emphasis on the distinction between "new" and "old" social risks and the notion that the former are more "individualised". Inequality and poverty rather than being differentially distributed between social classes are thought to vary between phases in the average work life. Our findings suggest the "death of social class" thesis is greatly overblown. A more accurate appreciation of the importance of new and old social risks requires that we systematically investigate the manner in which factors such as social class and the life cycle interact.

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In this paper we address issues relating to vulnerability to economic exclusion and levels of economic exclusion in Europe. We do so by applying latent class models to data from the European Community Household Panel for thirteen countries. This approach allows us to distinguish between vulnerability to economic exclusion and exposure to multiple deprivation at a particular point in time. The results of our analysis confirm that in every country it is possible to distinguish between a vulnerable and a non-vulnerable class. Association between income poverty, life-style deprivation and subjective economic strain is accounted for by allocating individuals to the categories of this latent variable. The size of the vulnerable class varies across countries in line with expectations derived from welfare regime theory. Between class differentiation is weakest in social democratic regimes but otherwise the pattern of differentiation is remarkably similar. The key discriminatory factor is life-style deprivation, followed by income and economic strain. Social class and employment status are powerful predictors of latent class membership in all countries but the strength of these relationships varies across welfare regimes. Individual biography and life events are also related to vulnerability to economic exclusion. However, there is no evidence that they account for any significant part of the socio-economic structuring of vulnerability and no support is found for the hypothesis that social exclusion has come to transcend class boundaries and become a matter of individual biography. However, the extent of socio-economic structuring does vary substantially across welfare regimes. Levels of economic exclusion, in the sense of current exposure to multiple deprivation, also vary systematically by welfare regime and social class. Taking both vulnerability to economic exclusion and levels of exclusion into account suggests that care should be exercised in moving from evidence on the dynamic nature of poverty and economic exclusion to arguments relating to the superiority of selective over universal social policies.

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Ringen has advocated the use of both income and deprivation criteria in identifying those excluded from society due to lack of resources, a widely accepted definition of poverty. We illustrate with Irish data how this might be done, paying particular attention to how appropriate indicators of deprivation are to be selected. The results show that employing both income and deprivation criteria rather than income alone can make a substantial difference to both the extent and composition of measured poverty. This highlights the restrictive nature of poverty conceived in terms of exclusion rather than minimum rights to resources.

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In the context of the significance that the life-cycle has been afforded in social policy discussion in Ireland, current national measures of poverty and social exclusion have been criticised for failing to capture such phenomena accurately in relation to particular stages of the life-course. In this paper we have taken advantage of the inclusion of a special module on childhood deprivation in EU-SILC 2009 to create reliable measures of both household basic deprivation and childhood deprivation. Overall, our analysis leads us to the conclusion that those exposed to childhood deprivation are generally a sub-set of the children captured by population indicators. Adopting a multidimensional and dynamic perspective on household resources and deprivation enables us to capture the large majority of children exposed to childhood deprivation. Restricting our attention to childhood deprivation would lead us to miss out on a significant number of children living in households experiencing basic deprivation but not exposed to childhood deprivation. It would be unwise to assume that such deprivation has no consequences for children. While there is clearly a value in supplementing existing national measures with child specific indicators, it would not appear sensible to rely solely on the latter.

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BACKGROUND: Overuse of unnecessary medications in frail older adults with limited life expectancy remains an understudied challenge. OBJECTIVE: To identify intervention studies that reduced use of unnecessary medications in frail older adults. A secondary goal was to identify and review studies focusing on patients approaching end of life. We examined criteria for identifying unnecessary medications, intervention processes for medication reduction, and intervention effectiveness. METHODS: A systematic review of English articles using MEDLINE, EMBASE, and International Pharmaceutical Abstracts from January 1966 to September 2012. Additional studies were identified by searching bibliographies. Search terms included prescription drugs, drug utilization, hospice or palliative care, and appropriate or inappropriate. A manual review of 971 identified abstracts for the inclusion criteria (study included an intervention to reduce chronic medication use; at least 5 participants; population included patients aged at least 65 years, hospice enrollment, or indication of frailty or risk of functional decline-including assisted living or nursing home residence, inpatient hospitalization) yielded 60 articles for full review by 3 investigators. After exclusion of review articles, interventions targeting acute medications, or studies exclusively in the intensive care unit, 36 articles were retained (including 13 identified by bibliography review). Articles were extracted for study design, study setting, intervention description, criteria for identifying unnecessary medication use, and intervention outcomes. RESULTS: The studies included 15 randomized controlled trials, 4 non-randomized trials, 6 pre-post studies, and 11 case series. Control groups were used in over half of the studies (n = 20). Study populations varied and included residents of nursing homes and assisted living facilities (n = 16), hospitalized patients (n = 14), hospice/palliative care patients (n = 3), home care patients (n = 2), and frail or disabled community-dwelling patients (n = 1). The majority of studies (n = 21) used implicit criteria to identify unnecessary medications (including drugs without indication, unnecessary duplication, and lack of effectiveness); only one study incorporated patient preference into prescribing criteria. Most (25) interventions were led by or involved pharmacists, 4 used academic detailing, 2 used audit and feedback reports targeting prescribers, and 5 involved physician-led medication reviews. Overall intervention effect sizes could not be determined due to heterogeneity of study designs, samples, and measures. CONCLUSIONS: Very little rigorous research has been conducted on reducing unnecessary medications in frail older adults or patients approaching end of life.

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The practice of mixed-methods research has increased considerably over the last 10 years. While these studies have been criticized for violating quantitative and qualitative paradigmatic assumptions, the methodological quality of mixed-method studies has not been addressed. The purpose of this paper is to identify criteria to critically appraise the quality of mixed-method studies in the health literature. Criteria for critically appraising quantitative and qualitative studies were generated from a review of the literature. These criteria were organized according to a cross-paradigm framework. We recommend that these criteria be applied to a sample of mixed-method studies which are judged to be exemplary. With the consultation of critical appraisal experts and experienced qualitative, quantitative, and mixed-method researchers, further efforts are required to revise and prioritize the criteria according to importance.

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The problem of model selection of a univariate long memory time series is investigated once a semi parametric estimator for the long memory parameter has been used. Standard information criteria are not consistent in this case. A Modified Information Criterion (MIC) that overcomes these difficulties is introduced and proofs that show its asymptotic validity are provided. The results are general and cover a wide range of short memory processes. Simulation evidence compares the new and existing methodologies and empirical applications in monthly inflation and daily realized volatility are presented.

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The current classification and diagnostic criteria for diabetes mellitus were introduced by the United States National Data Group in 1979 and endorsed by the World Health Organization in 1980, with modifications in 1985 and 1994. The criteria, chosen to reflect the risk of complications, were the synthesis of considerable thought and expertise and represented a consensus which, it was hoped, would prove helpful to all those involved with diabetes practising clinician, research scientist and epidemiologist alike. The inconvenience, variability and nonphysiological nature of the oral glucose tolerance test (OGTT) are well-recognised. In spite of these limitations the 2-h post-load plasma glucose has remained the standard against which all other tests have been evaluated. This article reviews the original justification for the OGTT, and in the light of more recent epidemiological research seeks to place the current diagnostic criteria for diabetes into a pathophysiological, diagnostic and prognostic perspective.

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We consider two celebrated criteria for defining the nonclassicality of bipartite bosonic quantum systems, the first stemming from information theoretic concepts and the second from physical constraints on the quantum phase space. Consequently, two sets of allegedly classical states are singled out: (i) the set C composed of the so-called classical-classical (CC) states—separable states that are locally distinguishable and do not possess quantum discord; (ii) the set P of states endowed with a positive P representation (P-classical states)—mixtures of Glauber coherent states that, e.g., fail to show negativity of their Wigner function. By showing that C and P are almost disjoint, we prove that the two defining criteria are maximally inequivalent. Thus, the notions of classicality that they put forward are radically different. In particular, generic CC states show quantumness in their P representation, and vice versa, almost all P-classical states have positive quantum discord and, hence, are not CC. This inequivalence is further elucidated considering different applications of P-classical and CC states. Our results suggest that there are other quantum correlations in nature than those revealed by entanglement and quantum discord.

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A leading theory hypothesizes that schizophrenia arises from dysregulation of the dopamine system in certain brain regions. As this dysregulation could arise from abnormal expression of D2 dopamine receptors, the D2 receptor gene (DRD2) on chromosome 11q is a candidate locus for schizophrenia. We tested whether allelic variation at DRD2 and five surrounding loci cosegregated with schizophrenia in 112 small- to moderate-size Irish families containing two or more members affected with schizophrenia or schizoaffective disorder, defined by DSM-III-R. Evidence of linkage was assessed using varying definitions of illness and modes of transmission. Assuming genetic homogeneity, linkage between schizophrenia and large regions of 11q around DRD2 could be strongly excluded. Assuming genetic heterogeneity, variation at the DRD2 locus could be rejected as a major risk factor for schizophrenia in more than 50% of these families for all models tested and in as few as 25% of the families for certain models. The DRD2 linkage in fewer than 25% of these families could not be excluded under any of the models tested. Our results suggest that the major component of genetic susceptibility to schizophrenia is not due to allelic variation at the DRD2 locus or other genes in the surrounding chromosomal region.

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High-quality data from appropriate archives are needed for the continuing improvement of radiocarbon calibration curves. We discuss here the basic assumptions behind 14C dating that necessitate calibration and the relative strengths and weaknesses of archives from which calibration data are obtained. We also highlight the procedures, problems and uncertainties involved in determining atmospheric and surface ocean 14C/12C in these archives, including a discussion of the various methods used to derive an independent absolute timescale and uncertainty. The types of data required for the current IntCal database and calibration curve model are tabulated with examples.