Barriers and Enablers to Safeguarding Children and Adults within a Disability Services Context: Insights from an Australian Delphi Study

Research conducted in the 1990s revealed the tragic irony that exposure to the disability support system, and particularly to its institutional forms, was a major risk factor related to the neglect and abuse of children and adults with a disability. Subsequently, a range of policies have been introduced to minimize risk. However, recurring events of abuse and neglect in the disability services sector in high and middle income countries demonstrate that processes geared to safeguard children and adults with a disability from abuse and neglect remain insufficient. To establish the wider fabric of organizational factors that contribute to effective safeguarding practices within the Australian disability support sector, a modified online Delphi study was conducted, capturing the views of disability services staff and managers (n = 249) regarding barriers and enablers to effective safeguarding. This study identified issues concerning organizational culture, management practice, workforce development, client capacity building and contextual factors. During Round Two of the Delphi, participants were asked to rate the categorized enabler statements according to importance on a 10‐point Likert scale, to ascertain the degree of consensus. A total of 262 of the statements were regarded as important or very important. The Delphi result highlighted the considerable gap between the wider systemic and cultural processes that, in the eyes of disability services staff and management, contribute to good safeguarding practice and the safeguarding measures currently in place. The article calls for a holistic approach to safeguarding that addresses procedural issues and to the transformation of the wider systemic and cultural fabric of an organization.     

On the volume-ranking of opportunity sets in economic environments

We provide a characterization of the volume-ranking of opportunity sets as defined on the set of all polyconvex sets, i.e. finite unions of convex, compact, Euclidean sets. In fact, such a domain is large enough to encompass most of the opportunity sets typically encountered in economic environments, including non-linear or even non-convex budget sets, and opportunity sets arising from production sets. Our result relies on a valuation-based volume-characterization theorem due to Klain and Rota (Introduction to Geometric Probability, Cambridge University Press, Cambridge, 1997) and helps to highlight some quite unusual conditions under which the volume-ranking can be justified as a freedom-ranking of opportunity sets. Therefore, it may also help to understand why the latter has been so conspicuously ignored in welfare analysis. Thanks are due to Larry Kranich, Massimo Marinacci, Uri Rothblum, Ernesto Screpanti, John Weymark, Yongsheng Xu, Claudio Zoli and two anonymous referees for helpful comments and suggestions.     

An Integrated Approach to Managing Change

Complex systems often involve a huge number of variables whose interdependence must be taken into account. This makes the adoption of an integrated approach essential for the proper management of a wide range of aspects related to human life, from social matters to the environment. In particular, this paper takes into consideration three different experiences in which the use of an integrated approach represented the most effective response for managing the evolving realities we took into consideration. We focused on the issue of land management, with particular attention to the problem of monoculture in Brazil. Then we analyzed the attempted cooperation between the States of the Aral Sea area for efficient water management of the basin and, finally, we dealt with the matter of energy efficiency and how the production of home integrated systems could lead to a better rationalization of energy consumption in the near future.      

Another look into the effect of premarital cohabitation on duration of marriage: an approach based on matching

Summary.  The paper proposes an alternative approach to studying the effect of premarital cohabitation on subsequent duration of marriage on the basis of a strong ignorability assumption . The approach is called propensity score matching and consists of computing survival functions conditional on a function of observed variables (the propensity score), thus eliminating any selection that is derived from these variables. In this way, it is possible to identify a time varying effect of cohabitation without making any assumption either regarding its shape or the functional form of covariate effects. The output of the matching method is the difference between the survival functions of treated and untreated individuals at each time point. Results show that the cohabitation effect on duration of marriage is indeed time varying, being close to zero for the first 2–3 years and rising considerably in the following years.     

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.     

Immigration,religious diversity and recognition of differences: the Italian way to multiculturalism

Migration entails, among other consequences, the presence of different cultures and religions. Italy, being a latecomer among immigration countries, has had specific difficulties in acknowledging the new cultural and religious pluralism brought by migrations, due to lack of knowledge and reflection in this sphere. In the more recent context of social and cultural change in Europe, Italian society is also going through a phase characterised by reactive identities and cultural conflicts. They are producing a diffused anti-multiculturalist opinion, even though multiculturalist policies have not been openly implemented. Thus, on the one hand, this situation has so far prevented a real recognition of cultural and religious differences, particularly concerning Islam. But on the other hand, positive actions in favour of migrants can also be observed, especially at the local level.     

Lot sizing with storage losses under demand uncertainty

We address a variant of the single item lot sizing problem affected by proportional storage (or inventory) losses and uncertainty in the product demand. The problem has applications in, among others, the energy sector, where storage losses (or storage deteriorations) are often unavoidable and, due to the need for planning ahead, the demands can be largely uncertain. We first propose a two-stage robust optimization approach with second-stage storage variables, showing how the arising robust problem can be solved as an instance of the deterministic one. We then consider a two-stage approach where not only the storage but also the production variables are determined in the second stage. After showing that, in the general case, solutions to this problem can suffer from acausality (or anticipativity), we introduce a flexible affine rule approach which, albeit restricting the solution set, allows for causal production plans. A hybrid robust-stochastic approach where the objective function is optimized in expectation, as opposed to in the worst-case, while retaining robust optimization guarantees of feasibility in the worst-case, is also discussed. We conclude with an application to heat production, in the context of which we compare the different approaches via computational experiments on real-world data.     

Examining the impact of social media on mood and body dissatisfaction using ecological momentary assessment

Abstract

Objective: To assess the effects of social media consumption on body dissatisfaction and negative affect using ecological momentary assessment, a method of assessment over time in the participants’ naturalistic environment. Participants: Woman college students (N?=?30) from a large public university participated in the study in Fall 2015. Methods: Participants were contacted via their smartphones five times per day for five days and asked to complete a battery of measures which assessed social media use, body dissatisfaction, and negative affect. Results: Results demonstrated that the number of social media sites visited was a significant predictor of body dissatisfaction while time spent using social media was not. The number of sites visited and time spent on social media were both significant predictors of general negative affect, sadness, and guilt. Conclusions: Results demonstrate the negative impact that social media use can have on body dissatisfaction and negative affect.     

Measuring Change Over Time in Socio-economic Deprivation and Health in an Urban Context: The Case Study of Genoa

Poverty and disability are interrelated, but data that can disentangle to what extent one causes the other and vice versa is not available. However, data from Vietnam allows us to examine this interrelationship in a way not done previously. Using small area estimation techniques, we uncover three findings not yet found in the literature. First, disability prevalence rates vary significantly within a country even at the district level. Second, the poverty gap between people with and without disabilities also varies at the district level. And most importantly, the size of that gap lessens based on district characteristics that can be affected by policy. Districts with better health care and infrastructure, such as road and health services, show less of a link between disability and poverty, supporting the hypothesis that improvements in infrastructure and rehabilitation service can lessen the impact of disability on families with disabled members.     

Recoverable robust timetabling for single delay: Complexity and polynomial algorithms for special cases

In this paper, we study the problem of planning a timetable for passenger trains considering that possible delays might occur due to unpredictable circumstances. If a delay occurs, a timetable could not be able to manage it unless some extra time has been scheduled in advance. Delays might be managed in several ways and the usual objective function considered for such purpose is the minimization of the overall waiting time caused to passengers. We analyze the timetable planning problem in terms of the recoverable robustness model, where a timetable is said to be recoverable robust if it is able to absorb small delays by possibly applying given limited recovery capabilities. The quality of a robust timetable is measured by the price of robustness that is the ratio between the cost of the recoverable robust timetable and that of a non-robust optimal one.