Unemployment among women: examining the relationship of physical and psychological intimate partner violence and posttraumatic stress disorder

Prior research has demonstrated that intimate partner violence (IPV) is associated with employment instability among poor women. The current study assesses the broader relationship between IPV and women's workforce participation in a population-based sample of 6,698 California women. We examined past-year IPV by analyzing specific effects of physical violence, psychological violence, and posttraumatic stress disorder (PTSD) symptoms as predictors of unemployment. Results indicated substantial rates of unemployment among women who reported IPV, with rates of 20% among women who experienced psychological violence, 18% among women who experienced physical violence, and 19% among women with PTSD symptoms. When the relationship was adjusted for demographic characteristics and educational attainment, PTSD (adjusted odds ratio [AOR] = 1.60; 95% confidence interval [CI] = 1.22, 2.09) and psychological violence (AOR = 1.78; 95% CI = 1.36, 2.32), but not physical violence, were associated with unemployment. Implications for supported employment programs and workplace responses to IPV are discussed.     

Data and Safety Monitoring Boards: Some Enduring Questions

Data Safety and Monitoring Boards (DSMBs) have been referred to as a "growth industry," and this trend continues to be fueled by recent FDA guidance and the NIH's requirement that DSMBs be employed in virtually all phase III clinical trials. The widening role of DSMBs has been sporadically questioned on ethical grounds, but growth has continued, despite the fact that many of the questions endure, unanswered, save for repeated references to safeguarding the scientific integrity of trials. This may be about to change. The recently appointed director of the Office for Human Research Protections (OHRP), Jerry Menikoff, is on record as regarding current practices — where consent forms often promise what the DSMB has been assembled to specifically not provide — as constituting fraudulent behavior. That is, a subject may inherently rely on, to their detriment, information that has been misrepresented in the consent document. In this paper, we assemble some of the enduring questions and top them off with Menikoff's tour de force to present what we hope will be a compelling argument to require that consent forms fairly represent what the DSMB will do — and not do — with trial data as they accumulate. We argue that DSMBs should be used only in rare circumstances, and question the practice of precluding principal investigators from DSMB membership, but our main thrust is to ensure that DSMBs, when used at all, are properly described in trial consent forms.     

Women, anger, and aggression: an interpretative phenomenological analysis

This study reports a qualitative phenomenological investigation of anger and anger-related aggression in the context of the lives of individual women. Semistructured interviews with five women are analyzed using interpretative phenomenological analysis. This inductive approach aims to capture the richness and complexity of the lived experience of emotional life. In particular, it draws attention to the context-dependent and relational dimension of angry feelings and aggressive behavior. Three analytic themes are presented here: the subjective experience of anger, which includes the perceptual confusion and bodily change felt by the women when angry, crying, and the presence of multiple emotions; the forms and contexts of aggression, paying particular attention to the range of aggressive strategies used; and anger as moral judgment, in particular perceptions of injustice and unfairness. The authors conclude by examining the analytic observations in light of phenomenological thinking.     

Child abuse: practical application of autopsy, radiological, and microscopic studies

A 17-month-old male infant died at home. The infant's right arm was immobilized because of a humeral fracture 1 month earlier. The circumstances of death appeared unclear to the police investigators and a medicolegal autopsy was carried out. External examination revealed diffuse ecchymoses of varying color. Postmortem imaging was performed prior to autopsy (X-rays, multislice computed tomography [MSCT], and focused brain magnetic resonance imaging [MRI]). These investigations revealed four rib fractures of varying ages, one of which was posterior. Cerebral and pericerebral traumatic lesions were also diagnosed: bilateral subdural hematomas, intraventricular, meningeal, and interpedoncular hemorrhages. In the abdomen, fresh blood was visible within the anterior abdominal wall and the mesenteric root. Autopsy and microscopic study confirmed these lesions. This case report illustrates the valuable assistance rendered by MSCT and MRI to diagnose abuse when a child has died in unclear circumstances.     

Filing for corruption: Transparency, openness and record-keeping

The rhetoric of the new development agenda is shaped by democratisation,decentralisation and accountability. The intention is to reassert the role ofthe state but only within the context of involving and working for thepeople. Multilateral and bilateral donor statements are replete withreferences to openness, transparency, accountability and combatingcorruption. This article discusses the rhetoric of such language but then askshow they are to be implemented.What is at issue is that such terms are crucial development goals but,without greater attention to concrete outcomes and processes, may remainrhetoric.     

Improving public services by mining citizen feedback: An application of natural language processing

Research on user satisfaction has increased substantially in recent years. To date, most studies have tested the significance of predefined factors thought to influence user satisfaction, with no scalable means of verifying the validity of their assumptions. Digital technology has created new methods of collecting user feedback where service users post comments. As topic models can analyse large volumes of feedback, they have been proposed as a feasible approach to aggregating user opinions. This novel approach has been applied to process reviews of primary care practices in England. Findings from an analysis of more than 200,000 reviews show that the quality of interactions with staff and bureaucratic exigencies are the key drivers of user satisfaction. In addition, patient satisfaction is strongly influenced by factors that are not measured by state-of-the-art patient surveys. These results highlight the potential benefits of text mining and machine learning for public administration.     

District Judges and Possession Proceedings

In this article, we draw on data obtained in interviews with District Judges about the factors which they say influence the exercise of their discretion in possession proceedings. Analysing the data set enabled us to create three ideal types of judicial decision—making which we have labelled 'liberal', 'patrician', and formalist'. We discuss the differences between each ideal type across five different variables: the District Judge role; approach; view of occupiers; the problem; behaviour of occupiers. Our data demonstrate a set of reasons to explain different approaches and outcomes between different District Judges (as well as the perhaps unlikely identification of a 'maverick' or 'idiosyncratic' style of judging). We conclude by suggesting on the basis of our data that, despite calls to structure or remove the discretion from District Judges, any such changes are unlikely to have much effect.