Association of Problem Gambling with Type of Gambling Among Italian General Population

The origin of gambling disorders is uncertain; however, research has shown a tendency to focus on specific types of games as a potential important risk factor. The principal aim of this study is to examine the relationships between types of gambling practices and gambling disorder. The data were extracted from IPSAD-Italia^® 2010–2011 (Italian Population Survey on Alcohol and other Drugs), a survey among the Italian general population which collects socio-cultural information, information about the use of drugs, legal substances and gambling habits. In order to identify the “problem gambler” we used the Problem Gambling Severity Index. Three groups are considered in this analysis: no-risk gamblers, low-risk gamblers, moderate-risk/problem gamblers. Type of gambling practice was considered among two types of gambler: one-game players and multi-games players. 1.9 % of multi-game players were considered problem gamblers, only 0.6 % of one-game players were problem gamblers (p < 0.001). The percentage of players who were low and moderate-risk gamblers was approximately double among multi-game players, with 14.4 % low-risk and 5.8 % moderate-risk; compared with 7.7 % low-risk and 2.5 % moderate risk among one-game players. Results of ordinal logistic regression analysis confirmed that higher level of gambling severity was associated with multi-game players (OR = 2.23, p < 0.0001). Video-poker/slot-machines show the highest association with gambling severity among both one-game players and multi-game players, with scores of OR equal to 4.3 and 4.5 respectively. These findings suggest a popular perception of risk associated with this type of gambling for the development of gambling problems.     

The Impact of Joint Responses of Devices in an Airport Security System

In this article, we consider a model for an airport security system in which the declaration of a threat is based on the joint responses of inspection devices. This is in contrast to the typical system in which each check station independently declares a passenger as having a threat or not having a threat. In our framework the declaration of threat/no-threat is based upon the passenger scores at the check stations he/she goes through. To do this we use concepts from classification theory in the field of multivariate statistics analysis and focus on the main objective of minimizing the expected cost of misclassification. The corresponding correct classification and misclassification probabilities can be obtained by using a simulation-based method. After computing the overall false alarm and false clear probabilities, we compare our joint response system with two other independently operated systems. A model that groups passengers in a manner that minimizes the false alarm probability while maintaining the false clear probability within specifications set by a security authority is considered. We also analyze the staffing needs at each check station for such an inspection scheme. An illustrative example is provided along with sensitivity analysis on key model parameters. A discussion is provided on some implementation issues, on the various assumptions made in the analysis, and on potential drawbacks of the approach.     

Impact evaluation of job training programmes: selection bias in multilevel models

This paper focuses on the evaluation of a job training programme composed of several different courses. The aim is to evaluate the impact of the programme for the participants with respect to non-participants, paying attention to possible differences in the effectiveness between the courses. The analysis is based on discrete data with a hierarchical structure. Multilevel modelling is the natural choice in this setting, but the results may be severely affected by selection bias. We propose a two-step procedure, which suits both the hierarchical structure and the observational nature of data. The method selects the appropriate control group, using standard results of the propensity score methodology. A suitable multilevel model is formulated, and the dependence of the results on the amount of non-random sample selection is analysed within a likelihood-based framework. As a result, rankings for comparative performances are obtained, adjusted for the amount of plausible selection bias. The procedure is illustrated with reference to a data set about a job training programme organized in Italy in the late 1990s.     

An Assessment of the Psychometric Properties of Italian Version of CPGI

The aim of this study was to adapt to the Italian context a very commonly used international instrument to detect problem gambling, the canadian problem gambling index (CPGI), and assess its psychometric properties. Cross-cultural adaptation of CPGI was performed in several steps and the questionnaire was administered as a survey among Italian general population (n = 5,292). Cronbach’s alpha reliability coefficient was 0.87 and can be considered to be highly reliable. Construct validity was assessed first by means of a principal component analysis and then by means of confirmatory factor analysis, showing that only one factor, problem gambling, was extracted from the CPGI questionnaire (an eigenvalues of 4,684 with percentage of variance 52 %). As far as convergent validity is concerned, CPGI was compared with Lie/Bet questionnaire, a two-item screening tool for detecting problem gamblers, and with both depression and stress scales. A short form DSM-IV CIDI questionnaire was used for depression and VRS scale, a rating scale, was used for rapid stress evaluation. A strong convergent validity with these instruments was found and these findings are consistent with past research on problem gambling, where another way to confirm the validity is to determine the extent to which it correlates with other qualities or measures known to be directly related to problem gambling. In sum, despite the lack of a direct comparison with a classic gold-standard such as DSM-IV, the Italian version of CPGI exhibits good psychometric properties and can be used among the Italian general population to identify at-risk problem gamblers.     

Complex Factors and Behaviors in the Gambling Population of Italy

Gambling has seen significant growth globally, and particularly in Italy: it has rapidly evolved from a simple recreational activity to represent 4% of Italian GDP in 2010.A sample of 4.494 gamblers was drawn from IPSAD-Italia^®2007-2008 (Italian Population Survey on Alcohol and Drugs) in order to examine different gambling patterns (assessed using the Canadian Problem Gambling Index Short form scale).Separate analysis was performed on young adults, age 15–24 (n = 1,241; male 56.2%), and adults, age 25–64 (n = 3,253; male 53.8%): compared with adults, Italian youth, although they gambled less (35.7% vs. 45.3%), appeared to have higher prevalence of low risk gambling (6.9% vs. 5.8%) and moderate risk or problem gambling (2.3% vs. 2.2%). Males are more likely to be moderate-risk or problem gamblers. Those with only a primary education are more likely to be moderate-risk or problem gamblers (young adults: RRR = 5.22; adults: RRR = 3.23) than those with a university education, just like those youth who use depressants, but only among younger (RRR = 3.38).A fundamental issue, “do not disapprove of gambling”, seems to relate to problematic gambling: a specific Italian legislation, the Abruzzi Decree Law, could have influenced the perception that gambling may contribute positively to provide additional funds to the government for social good as well as to add needed jobs. Regardless of such potential social benefits, gambling is a social epidemic and if this association should be confirmed by more focused studies, policy makers should evaluate ways to affect this perception as soon as possible.     

Feuerwehr und Supervision

Supervision in the fire services is not too common. This article will first describe the multifunctional field of work of the emergency services as well as their job requirements. Then the article will show possible starting points for supervision, and the difficulties in its acquisition and execution. Concludingly there will be a special example of supervision with psychotraumatherapeutic approaches.     

Solidarity in Italy's policies towards the frail elderly: a value at stake

The Italian public policies towards the frail elderly are underdeveloped by both quantitative and qualitative standards. The bulk of care responsibilities lies on the family and the private provision of paid care is flourishing. The last decade was characterised by significant signs of improvement – an increase in the public resources committed to long-term care and the rising interest of politicians and scholars towards this issue – but the situation is still highly critical. In such a context several questions on solidarity arise regarding the degree to which this value is actually embedded in the public policies, what are the most relevant issues and how the main actors involved are concerned. The article aims to answer some of these questions, taking into consideration the points of view of the main actors: elderly people, carers and professionals.
In doing so, the article discusses the targets of the public services, differences in their provision across the country, the rise of the care allowance and the private provision of paid care. The article shows the problems regarding solidarity in the Italian policies towards the frail elderly and sets an agenda of issues to deal with in the next decade. How policy-makers will be able to manage these issues will determine whether and how the value of solidarity will shape Italy's long-term care policies in the future.     

A Note on ‘An Approximate Solution to Deterministic Systems’

In a recent paper, Moeeni and Chang (1990) presented an efficient heuristic solution method to solve a specific case of a deterministic kanban system. In this paper, we first provide a simple numerical example to show that the kanban system formulation proposed by Moeeni and Chang can result in infeasible solutions. We then present a modified formulation and show its feasibility. We discuss the implications of the corrected formulation and finally present conclusions and future research directions.     

Cash‐for‐care payments in Europe: Changes in resource allocation

Resource allocation has been a main policy issue in cash‐for‐care schemes (CfCs) for older people in Europe since their inception. It regards how publicly funded care benefits and services are distributed among older people. The raising pressures of an ageing population and the tensions on the financial sustainability of welfare regimes in place have further exacerbated the relevance of this topic over the recent years. Nevertheless, comparative research so far has overlooked changes in resource allocation in CfCs over time. This article contributes to fill this gap, exploring changes in resource allocation of CfCs for older people in a sample of European countries—Austria, England, France, Germany, Italy, and The Netherlands—since the early '90s (or since the introduction of the scheme). It examines three analytical dimensions: (a) The mix of public services and benefits provided to older people (CfCs, community services in kind, residential care); (b) the level of CfCs coverage; and (c) its generosity. A combined view of these dimensions leads to the discussion of two dilemmas: How to allocate the resources devoted to CfCs in the light of the trade‐off between its coverage and intensity? And, within the whole long‐term care system, how to allocate resources between CfCs and services in kind?