Nationwide Newspaper Coverage of Posttraumatic Stress: A Community Structure Approach

This study utilized the community structure approach to analyze newspaper coverage of posttraumatic stress (PTS) in veterans in 26 U.S. cities. The study examined whether media placed responsibility for PTS treatment on government or society through a review of 353 articles from March 20, 2003, to March 20, 2013. Researchers coded articles for “prominence” and “direction” to produce a “Media Vector” for each paper, ranging from 0.8403 to ?0.3592. Results showed that 25 of 26 Media Vectors (96%) supported government responsibility. Pearson correlations yielded nine significant findings. Results disconfirmed buffer hypotheses linking privilege with support for government responsibility (privilege defined by percentage of college educated, percentage of family income $100,000 or more, and percentage of professional/technical occupational status; r = ?.486, ?.524, ?.553, respectively, significant at the .006 level). Stakeholder hypotheses were also disconfirmed; greater percentages of age 65 and older correlated with more emphasis on government responsibility (r = .340, p = .048), whereas greater percentages of age 25 to 44 correlated with less emphasis (r = ?.342, p = .047). The only confirmed hypothesis linked percentage of age 45 to 64 with less emphasis on government responsibility (r = ?.559, p = .002). A regional finding was noteworthy: Media in the Midwest supported government responsibility more than other regions. Regression analysis revealed three variables influencing coverage most significantly: Family Income $100K+ (26% of variance), Percentage of Hispanic (8%), and Professional/Technical Occupational status (5%). It must be noted that nearly all newspapers yielded positive Media Vectors. This indicates that coverage in major cities generally favors government responsibility for veterans' PTS treatment, and Pearson correlation results may represent differences in the degree of support and demographic characteristics influencing this support.     

Evaluation of a Training to Reduce Provider Bias Toward Pregnant Patients With Substance Abuse

The objective of this article is not to present a scientific or systematic study, but to provide an initial framework for designing a training workshop to enhance health practitioners’ (nurses, social workers, physicians, etc.) knowledge regarding substance abuse treatment and to decrease their bias toward substance-abusing women, particularly pregnant women in rural communities. We incorporated the 4 Transdisciplinary Foundations from the Substance Abuse and Mental Health Services Administration Competencies Model, with specific competencies targeted that related to provider bias. After the conference, 52 of the 70 participants completed a questionnaire to self-assess knowledge level and confidence in skill related to substance abuse management. Participant mean scores were statistically significantly higher following the conference than 1 week prior (p < .001) in the area of “gender difference with substance abuse,” moving from an average of 2.6 to 4.5 on a 5-point Likert scale. Our conference was successful in increasing attendees’ knowledge about gender difference and substance abuse among pregnant patients.     

Whither the virtuous cycle? Past and future trends in black-white inequality in educational attainment

The inequality in the relative years of education between blacks and whites has diminished dramatically over the 20th century. One possible explanation for this convergence is a virtuous cycle of parents passing on educational advantage, from one generation to the next, leading to an overall educational upgrading. In this paper we test the virtuous cycle hypothesis by estimating the three way interaction of cohort, race, and family background. We find that the convergence in educational attainment between blacks and whites over the past century was driven by processes unrelated to family background.     

Specialisation and training for fire-fighters driving heavy rescue vehicles: consequences for the development of operators?

This work was undertaken in France at the request of a local fire and rescue school in order to conduct an analysis of driving two types of heavy rescue vehicle with a view to improving training. This study took place in a context of specialisation: the drivers of these vehicles will henceforth only perform this type of task. Consequently, specific training has been designed in advance. Our study concerns the improvement of this training, taking account of the particularities of driving these vehicles in emergency situations typical to the profession of fire-fighters. The results stress first that driving of rescue vehicles in emergency situations is a multidimensional collective activity. Driving strategies identified share certain common objectives: "optimising trajectories", warn other road users, anticipate their behaviour and leave room for manoeuvre to counter and react to any unexpected behaviour. They include risks management for the potential victims of the incident and the risk of accidents during the journey. These initial results help identify certain recommendations for the training courses dealing with driving vehicles in emergency situations. They also provide a warning concerning the possible consequences of driver specialisation.     

Key Determinants to using Telehealth Technology to Serve Medically Ill and Depressed Homebound Older Adults

Despite the increasing evidence for the effectiveness of telehealth technology in screening and treating chronic diseases, and comorbid depression among older adults, they have been slowly adopted by home health care (HHC) agencies. Therefore, this study aimed to identify factors that determine telehealth technology adoption. Twenty directors from the National Association for Homecare & Hospice member agencies completed a 45-min telephone interview. Questions were asked regarding their perceptions of telehealth, the key determinants of telehealth adoption and use, and recommendations they would give on telehealth adoption. The majority of the participants perceived telehealth as effective for managing symptoms and reducing cost. Meanwhile, some participants had a mixed feeling toward telehealth for depression care as they did not recognize their agency as equipped with the necessary resources and trained staff. Moreover, significant determinants of telehealth adoption included the agency-related characteristics, the patient-home environment, reimbursement and cost-related factors, and staff telehealth perception. Findings imply that there is a need for financial support both at the state and the federal levels to encourage telehealth adoption among HHC agencies. Future studies should consider exploring strategies used by successful programs to overcome barriers.     

Working together in a deficit logic: home–school partnerships with Somali diaspora parents

Drawing on discursive psychology this article examines the understandings teachers and principals in Danish Public Schools have regarding Somali diaspora parenting practices. Furthermore, the article investigates what these understandings mean in interaction with children in the classrooms and with parents in home–school communication. It is argued that in a society with increased focus on parental responsibility the teachers and principals draw on a deficit logic when dealing with Somali diaspora parents and children which consequently leads to teachers either transmitting their expertise by educating parents or compensating for perceived deficiencies in parental practices. Both these strategies result in significant marginalizing consequences where ‘difference’ is understood as ‘wrong’ or ‘inadequate’.     

The Use of Simulation to Reduce the Domain of “Black Swans” with Application to Hurricane Impacts to Power Systems

Recently, the concept of black swans has gained increased attention in the fields of risk assessment and risk management. Different types of black swans have been suggested, distinguishing between unknown unknowns (nothing in the past can convincingly point to its occurrence), unknown knowns (known to some, but not to relevant analysts), or known knowns where the probability of occurrence is judged as negligible. Traditional risk assessments have been questioned, as their standard probabilistic methods may not be capable of predicting or even identifying these rare and extreme events, thus creating a source of possible black swans. In this article, we show how a simulation model can be used to identify previously unknown potentially extreme events that if not identified and treated could occur as black swans. We show that by manipulating a verified and validated model used to predict the impacts of hazards on a system of interest, we can identify hazard conditions not previously experienced that could lead to impacts much larger than any previous level of impact. This makes these potential black swan events known and allows risk managers to more fully consider them. We demonstrate this method using a model developed to evaluate the effect of hurricanes on energy systems in the United States; we identify hurricanes with potentially extreme impacts, storms well beyond what the historic record suggests is possible in terms of impacts.