Afrocentric Intervention Paradigm: An Overview of Successful Application by a Grassroots Organization

A grassroots social service organization's successful use of Afrocentric ideas, theories, and frameworks in its programs and services illustrates that many African Americans respond more readily to human and social services interventions that value and understand their historical experiences and include their cultural influences as “protective factors” in social service interventions. This article describes how the Community Empowerment Association's programs and services are designed to be culturally proficient by holding African customs, ethos, history, mores, society, and traditions in high esteem.     

Translating Research into Practice: The Role of Web-Based Education

SUMMARY

Clinical Practice Guidelines (CPGs) constitute a major focus of recent efforts to narrow the gap between research and practice. However, CBGs cannot effectively change clinical practice unless they are effectively disseminated. The present article describes a web-based course designed to teach nurses about a CPG for the management of alcohol withdrawal. In it, we outline the details of our web-based course, including its technical characteristics, organization, structure, and clinical content. Next, we outline several adjunctive strategies that may improve the effectiveness of such web-based educational interventions. Finally, we discuss other ways that web-based education may prove useful in disseminating evidence-based practices in human service delivery settings.     

Early Intervention into Addictive and Mental Health Disorders

No abstract available for this article.     

社会工作的自决原则与俗世化社会发展脉络

社会工作的自决原则与俗世化社会发展脉络密切相关,自决原则之所以被广泛接受,是与其背后的社会发展脉络以及与之相关的意识形态紧密相连.这种追根溯源式的探讨,有助于我们明白为什么实证论的影响是如此深远,而强烈价值介入论却是那么难于令人接受的一个主要原因.承接有关社会发展脉络的讨论,简单勾画在强烈价值介入论意义下案主自决的问题.     

Predicting the Probability that a Chemical Causes Steatosis Using Adverse Outcome Pathway Bayesian Networks (AOPBNs)

Adverse outcome pathway Bayesian networks (AOPBNs) are a promising avenue for developing predictive toxicology and risk assessment tools based on adverse outcome pathways (AOPs). Here, we describe a process for developing AOPBNs. AOPBNs use causal networks and Bayesian statistics to integrate evidence across key events. In this article, we use our AOPBN to predict the occurrence of steatosis under different chemical exposures. Since it is an expert-driven model, we use external data (i.e., data not used for modeling) from the literature to validate predictions of the AOPBN model. The AOPBN accurately predicts steatosis for the chemicals from our external data. In addition, we demonstrate how end users can utilize the model to simulate the confidence (based on posterior probability) associated with predicting steatosis. We demonstrate how the network topology impacts predictions across the AOPBN, and how the AOPBN helps us identify the most informative key events that should be monitored for predicting steatosis. We close with a discussion of how the model can be used to predict potential effects of mixtures and how to model susceptible populations (e.g., where a mutation or stressor may change the conditional probability tables in the AOPBN). Using this approach for developing expert AOPBNs will facilitate the prediction of chemical toxicity, facilitate the identification of assay batteries, and greatly improve chemical hazard screening strategies.     

A decision support tool to determine cost-to-benefit of a family-centered in-home program for at-risk adolescents

Family-centered program research has demonstrated its effectiveness in improving adolescent outcomes. However, given current fiscal constraints faced by governmental agencies, a recent report from the Institute of Medicine and National Research Council highlighted the need for cost-benefit analyses to inform decision making by policymakers. Furthermore, performance management tools such as balanced scorecards and dashboards do not generally include cost-benefit analyses. In this paper, we describe the development of an Excel-based decision support tool that can be used to evaluate a selected family-based program for at-risk children and adolescents relative to a comparison program or the status quo. This tool incorporates the use of an efficient, user-friendly interface with results provided in concise tabular and graphical formats that may be interpreted without need for substantial training in economic evaluation. To illustrate, we present an application of this tool to evaluate use of Boys Town’s In-Home Family Services (IHFS) relative to detention and out-of-home placement in New York City. Use of the decision support tool can help mitigate the need for programs to contract experts in economic evaluation, especially when there are financial or time constraints.     

Social Service Research and Religion

Abstract

Development of accountability standards to demonstrate cause and effect relationships are gaining rapid advancement in the field of social sciences. Many governmental agencies, foundations, and other funders have developed approaches that require organizations to utilize science-based programs and incorporate evaluative methods to show improved outcomes and cost benefits to society. This article will examine the need for increased accountability in developing effective interventions by faith-based organizations in the delivery of social service interventions. Recently, there has been a strong movement toward governmental funding for faith-based institutions to provide social services, although there has been inadequate scientific data to demonstrate that approaches implemented are effective in meeting needs or yielding favorable outcomes. Similarly, many faith-based organizations provide innovative and effective programs that could serve as model programs if there was appropriate empirical evidence. This article will discuss how rigorous evaluative approaches such as randomized clinical control trials can produce scientific data on program effectiveness. We will use a case example in the field of drug and alcohol treatment to illustrate these points.     

The relationship between binge drinking and prosocial bystander behavior among college men

Abstract

Objectives: This study prospectively examined binge drinking’s effect on prosocial bystander behavior and indicators of bystander behavior: intentions to intervene, self-efficacy to intervene, and positive outcome expectancies for intervening. Participants: College men were recruited from February to April 2010. Methods: Pre- and posttest surveys were administered as part of a randomized controlled trial (n?=?743). Potential confounders were identified using Pearson product-moment correlations. Controlling for covariates, multiple linear regression was used to examine whether binge drinking was predictive of prosocial bystander behavior and indicators of bystander behavior. Results: Binge drinking was related to lower bystander behavior (p<.05), lower intentions to intervene (p<.001), and less positive outcome expectancies for intervening (p<.05). Conclusions: Binge drinking may reduce the ability to notice a risk situation and intervene as a prosocial bystander. Results highlight the need for bystander programs to address alcohol use within the context of bystander behavior.     

Applying the Haddon Matrix to evaluate sexual assault interventions on college campuses

Abstract

Objective: A Haddon Matrix analysis was used to systematically review literature evaluating college campus sexual assault prevention programs to identify research gaps and intervention opportunities. Methods: Articles included were published from January 1, 2001 to December 31, 2017; indexed in PubMed, PsycInfo, or Scopus; involving English-speaking undergraduate students in the US; with experimental or quasi-experimental design. Results: All 31 eligible studies evaluated educational programing; all relied on self-report measures; and three-quarters had follow-up periods ≤ 6?months. Significant positive effects were reported by 6 of 10 studies that measured bystander behavior, 6 of 10 that educated potential victims and assessed victimization, and one of four that educated potential perpetrators and measured perpetration. Conclusion: The Haddon Matrix analysis identified the need for interventions that address perpetrators and the post-assault period, as well as studies of the impact of enforcing existing policies and new environmental and situational approaches to sexual assault prevention.