The last mile of the way: understanding caregiving in African American families at the end-of-life

This research is based on in-depth ethnographic interviews and focus groups with 88 African American family caregivers from various regions of the United States during a stressful time in their family development--caregiving at the end-of-life--and the grieving during the aftermath. The study employed a stratified purposeful sampling strategy. Subjects were African Americans from the Northern, Southern, and Midwestern United States. Formal care is complicated by the distrust that many African Americans hold toward the health care system, which has resulted from years of exclusion, racism and discrimination. The findings highlight the importance of hearing from African American families to gain an understanding of what services, including family therapy and other psychotherapy, they will need during this process.     

An attribution model of public discrimination towards persons with mental illness

In this study, we build on previous work by developing and estimating a model of the relationships between causal attributions (e.g., controllability, responsibility), familiarity with mental illness, dangerousness, emotional responses (e.g., pity, anger, fear), and helping and rejecting responses. Using survey data containing responses to hypothetical vignettes, we examine these relationships in a sample of 518 community college students. Consistent with attribution theory, causal attributions affect beliefs about persons' responsibility for causing their condition, beliefs which in turn lead to affective reactions, resulting in rejecting responses such as avoidance, coercion, segregation, and withholding help. However, consistent with a danger appraisal hypothesis, the effects of perceptions of dangerousness on helping and rejecting responses are unmediated by responsibility beliefs. Much of the dangerousness effects operate by increasing fear, a particularly strong predictor of support for coercive treatment. The results from this study also suggest that familiarity with mental illness reduces discriminatory responses.     

Social context and adolescent health behavior: does school-level smoking prevalence affect students' subsequent smoking behavior?

This paper examines the links between individual adolescent smoking behavior and actual and perceived smoking behavior in the individual's school cohort. We hypothesized that students enrolled in schools with higher smoking prevalence among students in their grade are more likely to smoke subsequently. We also expected perceived school-level prevalence of smoking to have a greater impact than actual prevalence because the former is a more direct measure of perceived norms. Adjusting for demographics, actual school-level prevalence at baseline (grade 7) was strongly associated with smoking frequency one year later. However, the association disappeared after adjusting for individual smoking frequency at baseline. School-level prevalence did not moderate the association between individual's baseline and subsequent smoking frequency. Perceived prevalence of smoking among grade 8 students and two measures tapping the behavior of smaller peer groups--cigarette offers and exposure to friends and other peers who smoke--were associated with increased risk of smoking.     

Experience of cumulative trauma disorders on life roles of worker and family member: a case study of a married couple

The prevalence of diagnosed cumulative trauma disorders (CTD) within the workforce comes at a high price for employers burdened with financial losses from missed work and worker's compensation costs. Research has focused primarily on the impact of CTD on the worker role within the workplace, overlooking the impact on roles across multiple environments [24,35,54]. Furthermore, the influence of CTD on life roles of a spouse has not been examined. This single case study illustrated the experience of CTD within a marital relationship through the use of grounded theory. Results indicated that adaptations to CTD symptoms were least altering to the established routines and roles of the couple. With progression of symptoms, the spouse without symptoms was relied on more heavily for adaptations to manage pain. The results of this study indicate that occupational therapists must examine the client's valued roles and incorporate the family into intervention strategies.     

Pivotal partings: Forced termination with a sexually abused boy

The termination phase of therapy is an integral part of the treatment process engendering its own unique set of dynamics. However, the potential eruption of new material dislodged by the trauma of the impending loss may in some cases require a reassessment of discharge goals and consequent alteration of treatment modality. The likelihood of new material surfacing at this critical juncture is perhaps highest among the caseloads of therapist trainees, wherein the termination date is forced by the time-limited nature of the learning contract. In the following article, supervisor and trainee detail the process of therapeutic shift from a dynamic to a crisis-oriented modality in the case of a young boy whose central trauma emerged during termination.     

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Summary.  Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect that missing quality-of-life data are likely to be non-ignorable. Although several recent references have addressed missing covariates in survival analysis, they all required the assumption that missingness is at random or that all covariates are discrete. We present a method for estimating the parameters in the Cox proportional hazards model when missing covariates may be non-ignorable and continuous or discrete. Our method is useful in reducing the bias and improving efficiency in the presence of missing data. The methodology clearly specifies assumptions about the missing data mechanism and, through sensitivity analysis, helps investigators to understand the potential effect of missing data on study results.     

Even the ‘Rich’ are Vulnerable: Multiple Shocks and Downward Mobility in Rural Uganda

Poverty data rarely capture processes of change, limiting our ability to understand poverty trajectories at the individual or household levels. This article uses a household survey, village‐level participatory studies and indepth life‐history interviews to examine people's poverty trajectories and to identify what drives and maintains chronic poverty. Composite shocks can propel previously non‐poor households into severe and long‐term poverty. Poverty is hard to escape, and people born into chronically poor households find few opportunities for accumulation and wealth creation. The analysis highlights the importance of poverty interrupters, including the end of conflict and the re‐integration of internally displaced people, and suggests that state‐led interventions would be needed to provide real opportunities to the chronically poor.     

Statistical modeling for Bayesian extrapolation of adult clinical trial information in pediatric drug evaluation

Children represent a large underserved population of “therapeutic orphans,” as an estimated 80% of children are treated off‐label. However, pediatric drug development often faces substantial challenges, including economic, logistical, technical, and ethical barriers, among others. Among many efforts trying to remove these barriers, increased recent attention has been paid to extrapolation; that is, the leveraging of available data from adults or older age groups to draw conclusions for the pediatric population. The Bayesian statistical paradigm is natural in this setting, as it permits the combining (or “borrowing”) of information across disparate sources, such as the adult and pediatric data. In this paper, authored by the pediatric subteam of the Drug Information Association Bayesian Scientific Working Group and Adaptive Design Working Group, we develop, illustrate, and provide suggestions on Bayesian statistical methods that could be used to design improved pediatric development programs that use all available information in the most efficient manner. A variety of relevant Bayesian approaches are described, several of which are illustrated through 2 case studies: extrapolating adult efficacy data to expand the labeling for Remicade to include pediatric ulcerative colitis and extrapolating adult exposure‐response information for antiepileptic drugs to pediatrics.     

Ideas in Action: Teaching Qualitative Analytic Methods in Social Work Research through the Analysis of Song Lyrics

This article describes the innovative use of a pop culture source-song lyrics to augment the teaching of qualitative methods in social work research. The use of pop culture sources as learning tools in the MSW curriculum has the potential to enhance the learning experience for students. These techniques have not been applied in the content of MSW research classes. This approach could be advantageous over other typical data sources because it is more accessible to students while also being reflective of a collective identity of people in society. Future work should assess student and educator responses to this pedagogical approach.