Violence towards psychiatric staff: a comparison of gender,job and environmental characteristics in England and Sweden

Workplace violence is receiving increasing attention world-wide, and studies suggest that, for example, nurses and women may be more abused at work than psychiatrists and men. However, there is a lack of cross-cultural data on the topic. Further, relatively few studies have addressed the influence of environmental factors in the occurrence of violence and within a cross-cultural context. The present study compares among other things the nature of violence encountered by female/male staff (nurses and psychiatrists) in Sweden and England. Psychiatric personnel from England (301 nurses; 74 psychiatrists) and Sweden (745 nurses; 306 psychiatrists) were assessed cross-sectionally by means of a questionnaire covering various areas (e.g. nature of violence). The univariate analyses showed an association between being abused and male gender, young age, being British and a nurse, physical and psychological strain. The multivariate logistic regression confirmed that British nurses and male nurses were the main risk group for exposure to violence. Further, the multivariate analysis indicated that the odds of being abused increased with increasing age, physical strain and dissatisfaction with quality of care. Interventions thus need to be sensitive to gender differences, societal context, professional roles and interactions between them. Further, clinical supervision and team functioning, organizational and environmentally friendly settings may help to reduce violence in mental health care.     

The use of geotechnologies for the identification of the urban flora in the city of Teresina,Brazil

Urban Ecosystems - Urban greenness is an element of vital importance for the population quality of life, and forest inventory is considered the most appropriate method for its assessment. Remote...     

Some Restricted randomization rules in sequential designs

This paper presents a new class of designs (Big Stick Designs) for sequentially assigning experimental units to treatments, when only the time covariate is considered. By prescribing the degree of imbalance which the experimenters can tolerate, complete randomization is used as long as the imbalance of the treatment allocation does not exceed the prescribed value. Once it reaches the value, a deterministic assignment is made to lower the imbalance. Such designs can be easily implemented with no programming and little personnel support. They compare favorably with the Biased Coin Designs, the Permuted Black Designs, and the Urn Designs, as far as the accidental bias and selection bias are concerned. Generalizations of these designs are considered to achieve various purposes, e.g., avoidance of deterministic assignments, early balance, etc.     

Resident-to-resident elder mistreatment (R-REM): a study in residential structures for elderly people (ERI) in Portugal

This study explores patterns of resident-to-resident elder mistreatment (R-REM) in Portuguese Residential Structures for Elderly People (ERI: Estruturas Residenciais para Idosos). Results display a serious situation of R-REM, which occurs in different patterns.     

Maternal and Paternal Mental‐state Talk and Executive Function in Preschool Children

The present study examined the relationship between parents’ mental‐state talk and preschoolers’ executive function. Seventy‐two children participated in the present study, as well as their mothers and fathers. When children were enrolled in the second preschool year, mothers’ and fathers’ use of mental‐state references were assessed during a shared picture‐book reading task with the child. Later, four months before admission to the first grade, preschoolers’ executive function was measured. Hierarchical regression analysis revealed that maternal, but not paternal, mental‐state talk was a significant predictor of children's executive function composite, even after accounting for child gender, age, verbal ability, and parental education. When looking at each of the EF components, maternal mental‐state talk proved to be a predictor of set‐shifting whereas no significant relations emerged with inhibitory control or working memory. These findings add to prior research on parenting quality and executive function in preschoolers.     

COVID Health Structure Index: The Vulnerability of Brazilian Microregions

Social Indicators Research - Many developing countries have highly unequal health systems across their regions. The pandemic of COVID-19 brought an additional challenge, as hospital structures...     

Violence towards psychiatric staff: a comparison of gender, job and environmental characteristics in England and Sweden

Workplace violence is receiving increasing attention world-wide, and studies suggest that, for example, nurses and women may be more abused at work than psychiatrists and men. However, there is a lack of cross-cultural data on the topic. Further, relatively few studies have addressed the influence of environmental factors in the occurrence of violence and within a cross-cultural context. The present study compares among other things the nature of violence encountered by female/male staff (nurses and psychiatrists) in Sweden and England. Psychiatric personnel from England (301 nurses; 74 psychiatrists) and Sweden (745 nurses; 306 psychiatrists) were assessed cross-sectionally by means of a questionnaire covering various areas (e.g. nature of violence). The univariate analyses showed an association between being abused and male gender, young age, being British and a nurse, physical and psychological strain. The multivariate logistic regression confirmed that British nurses and male nurses were the main risk group for exposure to violence. Further, the multivariate analysis indicated that the odds of being abused increased with increasing age, physical strain and dissatisfaction with quality of care. Interventions thus need to be sensitive to gender differences, societal context, professional roles and interactions between them. Further, clinical supervision and team functioning, organizational and environmentally friendly settings may help to reduce violence in mental health care.     

Vote splitting,reelection and electoral control: Towards a unified model

This article presents a dynamic game theoretic model of voting in the presence of asymmetric information about a relevant parameter of the economy, the state of the world. Voters may use both vote splitting and reelection as mechanisms of electoral control. In a perfect Bayesian equilibrium, voters will reelect an Executive incumbent if a minimum level of social outcome, n ^*, is attained. The main findings are that voters tend to be more demanding, requiring a higher value for n ^*, if they expect the true state of the world to be favorable, and less demanding if they believe the state of the world is unfavorable. Moreover, vote splitting will be chosen if a favorable state is expected, whereas if an unfavorable state is more likely, voters reduce pressure over the incumbent by choosing a unified government. Received: 9 October 2000/Accepted: 11 February 2002 The author is grateful to Mirta Bugarin, Brian Gaines, Wilfredo Maldonado, Otto Reich, Brian Sala, Marilda Sotomayor, Steven Williams, the participants of the Third Lacea Meeting, the Summer Seminars of the Political Science Department, University of Illinois, the Seminar Program of the Department of Economics of the University of Brasilia and the First World Congress of the Game Theory Society for valuable discussions on previous versions of this article. None of the above is responsible for errors or opinions expressed. The financial support from CNPq/Brazil is gratefully acknowledged.     

Inference for Parameters Defined by Moment Inequalities Using Generalized Moment Selection

The topic of this paper is inference in models in which parameters are defined by moment inequalities and/or equalities. The parameters may or may not be identified. This paper introduces a new class of confidence sets and tests based on generalized moment selection (GMS). GMS procedures are shown to have correct asymptotic size in a uniform sense and are shown not to be asymptotically conservative. The power of GMS tests is compared to that of subsampling, m out of n bootstrap, and “plug‐in asymptotic” (PA) tests. The latter three procedures are the only general procedures in the literature that have been shown to have correct asymptotic size (in a uniform sense) for the moment inequality/equality model. GMS tests are shown to have asymptotic power that dominates that of subsampling, m out of n bootstrap, and PA tests. Subsampling and m out of n bootstrap tests are shown to have asymptotic power that dominates that of PA tests.     

Bayesian item response model: a generalized approach for the abilities' distribution using mixtures

Traditional Item Response Theory models assume the distribution of the abilities of the population in study to be Gaussian. However, this may not always be a reasonable assumption, which motivates the development of more general models. This paper presents a generalized approach for the distribution of the abilities in dichotomous 3-parameter Item Response models. A mixture of normal distributions is considered, allowing for features like skewness, multimodality and heavy tails. A solution is proposed to deal with model identifiability issues without compromising the flexibility and practical interpretation of the model. Inference is carried out under the Bayesian Paradigm through a novel MCMC algorithm. The algorithm is designed in a way to favour good mixing and convergence properties and is also suitable for inference in traditional IRT models. The efficiency and applicability of our methodology is illustrated in simulated and real examples.