Iraqi refugees and the humanitarian costs of the Iraq war: What role for social work?

Harding S, Libal K. Iraqi refugees and the humanitarian costs of the Iraq war: what role for social work? The US‐led invasion and war in Iraq has created one of the most significant refugee crises in recent decades. International nongovernmental organizations have partnered with local organizations in Jordan and Syria to provide humanitarian aid to some two million displaced Iraqis. Field research indicates that, as with other humanitarian crises, few trained social workers have contributed to policy and practice with displaced Iraqis. The case of Iraq provides an opportunity to consider how the social work profession can shape comprehensive global refugee policies and programs. This role is appropriate, given mandates for the profession to promote social justice and human rights. Using the case of Iraqi displacement, we illustrate the complexities of humanitarian services provision and the need for trained social workers to participate in humanitarian relief and development programs. We argue that a variety of social work institutions and actors should become more robust advocates for shaping just refugee policy and practice.     

Design and analysis considerations for comparing dynamic treatment regimens with binary outcomes from sequential multiple assignment randomized trials

In behavioral, educational and medical practice, interventions are often personalized over time using strategies that are based on individual behaviors and characteristics and changes in symptoms, severity, or adherence that are a result of one's treatment. Such strategies that more closely mimic real practice, are known as dynamic treatment regimens (DTRs). A sequential multiple assignment randomized trial (SMART) is a multi-stage trial design that can be used to construct effective DTRs. This article reviews a simple to use ‘weighted and replicated’ estimation technique for comparing DTRs embedded in a SMART design using logistic regression for a binary, end-of-study outcome variable. Based on a Wald test that compares two embedded DTRs of interest from the ‘weighted and replicated’ regression model, a sample size calculation is presented with a corresponding user-friendly applet to aid in the process of designing a SMART. The analytic models and sample size calculations are presented for three of the more commonly used two-stage SMART designs. Simulations for the sample size calculation show the empirical power reaches expected levels. A data analysis example with corresponding code is presented in the appendix using data from a SMART developing an effective DTR in autism.     

The Planets Aligned: Is Child Protection Policy Reform Good Luck or Good Management?

Abstract

Governments across Australia are struggling to address escalating child protection notifications, a marked increase in the number of children in State care, a decrease in the number of foster carers and chronic workforce shortages in child welfare services. This paper explores the reform process that culminated in the proclamation of the Victorian Children, Youth and Families Act, 2005 and represents an aspect of the response in Victoria to these wider issues. It explores the history of the reform from the perspective of key actors from government, non-government sectors and academics who participated in the process. The paper explores the “ingredients of social policy reform” and how the change process was managed in Victoria. It does not seek to evaluate the reform but rather to understand the complex processes through which a propitious moment for reform was both seized and constructed.     

Extrapolative simulation of neighborhood networks based on population spatial distribution: Do they predict crime?

Objectives

Previous criminological scholarship has posited that network ties among neighborhood residents may impact crime rates, but has done little to consider the specific ways in which network structure may enhance or inhibit criminal activity. A lack of data on social ties has arguably led to this state of affairs. We propose to avoid this limitation by demonstrating a novel approach of extrapolatively simulating network ties and constructing structural network measures to assess their effect on neighborhood crime rates.

Methods

We first spatially locate the households of a city into their constituent blocks. Then, we employ spatial interaction functions based on prior empirical work and simulate a network of social ties among these residents. From this simulated network, we compute network statistics that more appropriately capture the notions of cohesion and information diffusion that underlie theories of networks and crime.

Results

We show that these network statistics are robust predictors of the levels of crime in five separate cities (above standard controls) at the very micro geographic level of blocks and block groups.

Conclusions

We conclude by considering extensions of the approach that account for homophily in the formation of network ties.     

Referent Group Proximity,Social Norms,and Context: Alcohol Use in a Low-Use Environment

Abstract

Objective: The purpose of this study was to investigate the relationship between perceived normative use of alcohol and reported consumption in an environment where relatively little alcohol use occurs. Participants: A total of 585 undergraduate students completed an online survey on alcohol use in March 2006. Methods: Participants reported personal alcohol use and perceptions of use by “friends,” “the average student,” and “the average student who drinks.” Results: Due to the large number of students reporting zero alcohol use, zero-inflated negative binomial regression was used to analyze the data. Results showed that perceptions of use and beliefs about the acceptability of use by proximal groups were strongly and positively correlated with personal alcohol use. Perceptions of distal groups were either not correlated or were correlated negatively with personal use. Conclusion: These findings suggest that the use of distal referent groups for a social norms campaign in a low-use environment may have paradoxical effects.     

Real-life closeness of social media contacts and depressive symptoms among university students

ABSTRACT

Objective: To examine the association between degree of real-life closeness of social media (SM) contacts and depressive symptoms. Participants: Students ages 18–30 (N = 1124) were recruited in August 2016. Methods: Participants completed an online survey assessing SM use and depression. We used multivariable logistic regression to assess associations between real-life closeness of SM contacts and depressive symptoms. Results: After controlling for covariates, each 10% increase in the proportion of SM friends with whom participants had no face-to-face relationship was associated with a 9% increase in odds of depressive symptoms (AOR = 1.09; 95% CI = 1.05–1.13). However, each 10% increase in the proportion of SM friends with whom participants had a close face-to-face relationship was associated with a 7% decrease in depressive symptoms (AOR = 0.93; 95% CI = 0.89–0.97). Conclusions: Having no in-person relationship with SM contacts is associated with increased depressive symptoms; however, having close in-person relationships with SM contacts is associated with decreased depressive symptoms.     

College Student Smokers' Cognitive Appraisal of High-Risk Activities

Abstract

Objective: Students who smoke are more likely to engage in risky behaviors such as binge drinking and unprotected sex (Schnieder and Morris, Environ Behav. 1999; 23:575–591). The goals of the present study were to determine whether smokers assess these behaviors as lower risk than nonsmokers, and if smoking rate influences risk perceptions. Methods: Participants were 303 college students. Cognitive Appraisal of Risky Activities (Fromme et al., Cognit Ther Res. 1997; 21:421–442) and smoking were assessed August–November, 2006. Results: Smokers reported significantly less risk, more benefit, and more involvement in risky behaviors than nonsmokers (p < .01). In hierarchical linear regression, risk perceptions moderated the association between smoking and (a) expected benefit from risky sexual behaviors (β = ?1.121, p < .05); and (b) expected involvement with illicit drugs (β = ?.313, p < .01). Conclusions: College smokers’ assessment of high-risk behaviors influenced their intended involvement. Risk perception change may therefore alter their involvement in high-risk behaviors.     

Man Up Monday: An integrated public health approach to increase sexually transmitted infection awareness and testing among male students at a midwest university

ABSTRACT

Objective: This campaign sought to (a) increase awareness of sexual health and chlamydia testing; (b) motivate students, particularly sexually active men who do not pursue regular sexually transmitted infection (STI) testing, to get tested; and (c) improve the capacity of the student health center to provide free chlamydia testing and treatment for all students. Participants: Students enrolled at a 4-year public research university (N = 333). Methods: Collaborative partnerships formed the foundation of a campus marketing and testing campaign, with treatment for students testing positive for chlamydia. Results: A total of 333 students were tested over 5 consecutive Mondays, showing a chlamydia incidence of 9.6%. The incidence for females and males were 8.6% and 10.8%, respectively. Conclusions: The campaign was effective in reaching men, an at-risk population not traditionally emphasized in STI testing.     

A Further Opinion on Reimagining Nursing Homes

A commentary of the article discussing the possible reimagining of long-term care (LTC) is provided. The reimagining article examines how to diminish the role of nursing homes in the LTC system. The text is provocative. It is also thought-provoking. In this commentary I provide a further opinion that we could do better within the current system using the current resources.     

Staffing-Related Deficiency Citations in Nursing Homes

There is evidence that staffing characteristics influence quality of care in nursing homes. Federal and state surveyors conduct inspections of homes to assess their compliance with regulatory standards, including requirements related to staffing. Deficiency citations are issued when these standards are not met. This article examines the relationship between operational, facility, and market characteristics and organizational performance measured as staffing-related deficiency citations. Online Survey Certification of Automated Records (OSCAR) data from 2000 through 2007 were used with multinomial logistic regression analyses to identify factors associated with deficiency citations for staffing. Chain members and facilities with poor quality of care were more likely to receive deficiency citations for staffing. Greater bed count and competition between nursing homes were associated with a decreased likelihood of deficiency citations for staffing. Staffing-related deficiencies within nursing homes vary according to various operational, facility, and market characteristics.