Design and ergonomics of package inserts of drugs in Brazil: a reality in construction

This research deals with the design of leaflets of medicines, evidencing the problems resulting from the lack of Brazilian normalization to promote the use of the graphical representation of instructional texts warnings. It approaches studies related to the effectiveness and efficiency of information systems, highlighting the semiotics and the cultural and informational ergonomics. The analysis of the context uses as method, an analytical study on selected warnings of thirty leaflets of medicines, followed by interviews lead with the public managers involved with the regulation of the pharmaceutical companies, and two experiments with users performed in city of Recife, in State of Pernambuco: one aiming at to identify how they interact with the leaflets of medicines, and the second one testing their understanding concerning standardized illustrations in the United States and the South Africa. The results show the need for improvements in presentation and graphic representation of leaflets of medicines, powering them to the role of communication, to ensure the consumption of medicine safely by its users. The conclusion congregates parameters and recommendations for the graphic representation of warnings in leaflets of medicines in Brazil.     

Dynamic survival models with spatial frailty

In many survival studies, covariates effects are time-varying and there is presence of spatial effects. Dynamic models can be used to cope with the variations of the effects and spatial components are introduced to handle spatial variation. This paper proposes a methodology to simultaneously introduce these components into the model. A number of specifications for the spatial components are considered. Estimation is performed via a Bayesian approach through Markov chain Monte Carlo methods. Models are compared to assess relevance of their components. Analysis of a real data set is performed, showing the relevance of both time-varying covariate effects and spatial components. Extensions to the methodology are proposed along with concluding remarks.     

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.     

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...     

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.     

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...     

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.     

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.     

Predicting probabilities for the 2010 FIFA World Cup games using a Poisson-Gamma model

In this paper, we provide probabilistic predictions for soccer games of the 2010 FIFA World Cup modelling the number of goals scored in a game by each team. We use a Poisson distribution for the number of goals for each team in a game, where the scoring rate is considered unknown. We use a Gamma distribution for the scoring rate and the Gamma parameters are chosen using historical data and difference among teams defined by a strength factor for each team. The strength factor is a measure of discrimination among the national teams obtained from their memberships to fuzzy clusters. The clusters are obtained with the use of the Fuzzy C-means algorithm applied to a vector of variables, most of them available on the official FIFA website. Static and dynamic models were used to predict the World Cup outcomes and the performance of our predictions was evaluated using two comparison methods.