Hunger: The Silent Epidemic Among Asylum Seekers and Resettled Refugees

Refugees and asylum seekers face challenges after arriving in a host country. They carry the trauma that they may have experienced in their countries of origin, during fight, and in countries of asylum. Other stressors impact on their adjustment after arriving in the United States including basic needs such as food, clothing, and shelter. This is a retrospective review of data collected as part of a needs assessment by a program, which serves survivors of torture and refugee trauma. Asylum seekers (n=65) and refugees were compared (n=30). Asylum seekers were more apt to be from Africa (p<.001), need family reunification (p=.027), speak more languages (p<.001), suffer from political persecution (p<.001), move from place to place due to not having a permanent place to live (p=.031), and be unable to contribute to the rent (p<.001). Unadjusted, asylum seekers were also more likely than refugees to have gone to bed hungry in the previous two weeks (p<.001) or since arriving in the United States (p<.001). Refugees were more likely to be eating more food now than before feeing, and asylum seekers the opposite (p<.001). Being an asylum seeker made one 3.7 times more likely to suffer from food insecurity than being a refugee, and 5.3 times more likely to not have work authorization. Among asylum seekers, adjusting for gender, age, education, lack of permanent housing, English fluency, and self-reported health status, not having work authorization made one 5.6 times more likely to suffer from hunger. Independently, being a torture survivor made one 10.4 times more likely to suffer from hunger. Asylum seekers must wait 150 days before applying for asylum in the United States. For humanitarian reasons, mandatory-waiting periods for work authorization for asylum seekers should be eliminated.     

The analytic construction of D-optimal designs for the two-variable binary logistic regression model without interaction

Candidate locally D-optimal designs for the binary two-variable logistic model with no interaction, which comprise 3 and 4 support points lying in the first quadrant of the two-dimensional Euclidean space, were introduced by Haines et al. (D-optimal designs for logistic regression in two variables. In: Lopez-Fidalgo J, Rodrigez-Diaz JM, Torsney B, editors. MODA8 – advances in model-oriented designs and analysis. Heidelberg: Physica-Verlag; 2007. p. 91–98). The authors proved algebraically the global D-optimality of the 3-point design for the special case in which the intercept parameter is equal to?1.5434. However for other selected values of the intercept parameter, the global D-optimality of the proposed 3- and 4-point designs was only demonstrated numerically. In this paper, we provide analytical proofs of the D-optimality of these 3- and 4-point designs for all negative and zero intercept parameters of the binary two-variable logistic model with no interaction. The results are extended to the construction of D-optimal designs on a rectangular design space and illustrated by means of two examples of which one is a real example taken from the literature.     

To adjust or not to adjust for baseline when analyzing repeated binary responses? The case of complete data when treatment comparison at study end is of interest

The benefits of adjusting for baseline covariates are not as straightforward with repeated binary responses as with continuous response variables. Therefore, in this study, we compared different methods for analyzing repeated binary data through simulations when the outcome at the study endpoint is of interest. Methods compared included chi‐square, Fisher's exact test, covariate adjusted/unadjusted logistic regression (Adj.logit/Unadj.logit), covariate adjusted/unadjusted generalized estimating equations (Adj.GEE/Unadj.GEE), covariate adjusted/unadjusted generalized linear mixed model (Adj.GLMM/Unadj.GLMM). All these methods preserved the type I error close to the nominal level. Covariate adjusted methods improved power compared with the unadjusted methods because of the increased treatment effect estimates, especially when the correlation between the baseline and outcome was strong, even though there was an apparent increase in standard errors. Results of the Chi‐squared test were identical to those for the unadjusted logistic regression. Fisher's exact test was the most conservative test regarding the type I error rate and also with the lowest power. Without missing data, there was no gain in using a repeated measures approach over a simple logistic regression at the final time point. Analysis of results from five phase III diabetes trials of the same compound was consistent with the simulation findings. Therefore, covariate adjusted analysis is recommended for repeated binary data when the study endpoint is of interest. Copyright © 2015 John Wiley & Sons, Ltd.     

District Segregation,Race Legislation,and Black Enrollment in Charter Schools*

Objective. This article examines how segregation at the school level within districts and charter school legislation predict black enrollment levels at local charter schools. Methods. This study uses the Schools and Staffing Survey Charter School Data 1999–2000, Common Core of Data, and a unique data set of district test scores to estimate OLS regression models of black enrollment in charter schools on district racial segregation and race provisions in charter school legislation. Results. Findings suggest that segregated school districts, those districts where whites and blacks are more unevenly distributed among schools, have a larger percentage of blacks enrolled in local charter schools than districts where schools are integrated. In addition, charter schools in states that do not have a racial clause have a smaller percent of blacks in their charter schools. Conclusion. Findings suggest that black enrollment in charter schools is a function of district segregation and state policy.     

University-community partnerships in gerontological social work: building consensus around student learning

This article will demonstrate how schools of social work can collaborate with community agencies to provide a comprehensive and enriching educational experience for both student interns and participating agencies. An innovative partnership of a state school of social work with community agencies leading to a cutting-edge geriatric field education program is described. Case examples are used to illustrate the benefits of these partnerships, as well as challenges partners overcame in forging and sustaining partnerships. Necessary components of partnership development are detailed.     

Promoting leadership skills in field education:a university-community partnership to bring macro and micro together in gerontological field placements

Social workers are being called upon to utilize a wide range of skills in practice including not only skills of working directly with clients, but also skills related to practice in organizations such as program management, inter-organizational cooperation, research and evaluation. This article describes an innovative geriatric field education program that prepares social workers with leadership skills in both direct service and management, and engages community agencies as both sites for student learning and as beneficiaries of their professional development projects. Case examples are provided and benefits and challenges to the model are discussed.     

Domestic Violence and Substance Use: Tackling Complexity

Domestic violence and substance use are issues which pervadesocial work practice, yet are often on the margins of the knowledgebase for practitioners and their managers. This article providesan overview of the literature on substance use and domesticviolence, highlighting the problems with the separation of bothpractice and policy in these areas. Research on substance useand the needs of women survivors of domestic violence are explored,alongside the more substantial literature on perpetrators ofdomestic violence and patterns of substance use. The problemsof a simplistic analysis which suggest that there is a causallink between substance use and domestic violence are highlighted.Using data from an on-going research project, the sources ofthe continuing and dysfunctional separation of work in theseareas are explored.     

Stemming retail leakage with a sense of community: Leveraging the links between communal ties and shopping decisions

Retail business development is a broad goal for both private business interests as well as local policymakers, yet the goal of retail opportunities for local residents themselves is often seen as secondary. This paper considers the argument that retail opportunities and sense of community are in fact linked in important ways, links that reinforce the social fabric of a community and/or neighborhood. The paper first briefly reviews the inherent linkages between retail shopping and local development patterns, and then considers the sense of community in the context of Garfield County in western Colorado. Based on the key questions derived from this background, we formally test the inter-relationship between local retail spending and sense of community from detailed survey data, then more broadly consider the factors that critically shape a locality's “sense of community.” These findings shape several important policy implications.