Collocation: Integrating Child Welfare and Substance Abuse Services

Abstract: A review of empirical literature reveals improvements in service utilization and outcomes for women when substance abuse and child welfare services are integrated. The increased use of substances by women involved in the child welfare system has resulted in a call for integrated, coordinated, evidence-based practices. Since the late 1990s, specific system- and service-level strategies have been developed to coordinate and integrate the provision of substance abuse and child welfare services such that women are remaining in treatment longer and are more likely to reduce substance use and be reunited with their children. The strategies reviewed provide useful guidelines for developing components of effective, evidence-based programs for substance-involved women in the child welfare system.

Abstract: This manuscript presents outcomes from a pilot study of Multisystemic Therapy-Building Stronger Families (MST-BSF), an integrated treatment model for the co-occurring problem of parental substance abuse and child maltreatment among families involved in the child welfare system. Participants were 25 mother-youth dyads who participated in MST-BSF and an additional 18 families with similar demographic and case characteristics who received Comprehensive Community Treatment (CCT). At post-treatment, mothers who received MST-BSF showed significant reductions in alcohol use, drug use, and depressive symptoms; they also significantly reduced their use of psychological aggression with the youth. Youth reported significantly fewer anxiety symptoms following MST-BSF treatment. Relative to families who received CCT, mothers who received MST-BSF were three times less likely to have another substantiated incident of maltreatment over a follow-up period of 24 months post-referral. The overall number of substantiated reabuse incidents in this time frame also was significantly lower among MST-BSF families, and youth who received MST-BSF spent significantly fewer days in out-of-home placements than did their CCT counterparts. These promising preliminary outcomes support the viability of a more rigorous (i.e., randomized) evaluation of the MST-BSF model.

Abstract: This article uses data from a national, longitudinal study of families involved with the U.S. child welfare system to examine how collaboration between local child welfare agencies, schools, and co...

Abstract: Families with child maltreatment and parental substance use disorders are a growing population with complex needs. The Sobriety Treatment and Recovery Teams (START) is an integrated model that pairs child protective service workers with family mentors and partners with treatment providers. This is a prospective naturalistic evaluation comparing rates of adult sobriety and child placement in state custody using provider-collected data merged with state administrative data sets. All families in the served and comparison groups had equal risks to child safety. Mothers achieved sobriety at 1.8 times the rate of typical treatment; children were placed in state custody at half the rate expected. These results support START as an effective integrated program.

Abstract: The aim of this study was to explore factors that facilitate or impede collaboration in a Canadian context. Qualitative in-depth interviews were conducted with a purposive sample of 24 managers and direct service staff from substance use treatment and the child welfare fields in different regions of a Canadian province. Findings underscore the importance of examining cross-system collaboration specific to regional policy contexts, such as British Columbia's harm reduction approach to substance use and addiction. At the same time, many of the barriers and driving forces for collaboration found in this study echo the experiences of other countries.

Abstract: Matthew B. Miles, Qualitative Data Analysis A Methods Sourcebook, Third Edition. The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldana, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition's presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldana's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called "Writing About Qualitative Research." Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers. Johnny Saldana, The Coding Manual for Qualitative Researchers, Second Edition. The Second Edition of Johnny Saldana's international bestseller provides an in-depth guide to the multiple approaches available for coding qualitative data. Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the book: describes how coding initiates qualitative data analysis; demonstrates the writing of analytic memos; discusses available analytic software; suggests how best to use the book for particular studies. In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. For each approach, Saldana discusses the method's origins, a description of the method, practical applications, and a clearly illustrated example with analytic follow-up. A unique and invaluable reference for students, teachers, and practitioners of qualitative inquiry, this book is essential reading across the social sciences. Stephanie D. H. Evergreen, Presenting Data Effectively Communicating Your Findings for Maximum Impact. This is a step-by-step guide to making the research results presented in reports, slideshows, posters, and data visualizations more interesting. Written in an easy, accessible manner, Presenting Data Effectively provides guiding principles for designing data presentations so that they are more likely to be heard, remembered, and used. The guidance in the book stems from the author's extensive study of research reporting, a solid review of the literature in graphic design and related fields, and the input of a panel of graphic design experts. Those concepts are then translated into language relevant to students, researchers, evaluators, and non-profit workers - anyone in a position to have to report on data to an outside audience. The book guides the reader through design choices related to four primary areas: graphics, type, color, and arrangement. As a result, readers can present data more effectively, with the clarity and professionalism that best represents their work.

Abstract: ‘In Utilization-Focused Evaluation (Patton, 1978) I suggested that if one had to choose between implementation information and outcomes information because of limited evaluation resoures, there are many instances in which implementation information would be of greater value. A decision maker can use implementation information to make sure that a policy is being put into operation according to design – or to test the feasibility of the policy. Unless one knows that a program is operating according to design, there may be little reason to expect it to produce the desired outcomes. Furthermore, until the program is implemented and a ‘treatment’ is believed to be in operation, there may be little reason even to bother evaluating outcomes. Where outcomes are evaluated without knowledge of implementation, the resuts seldom provide a direction for action because the decision maker lacks information about what produced the observed outcomes (or lack of outcomes). ... It is important to study and evaluate program implementation in order to understand how and why programs deviate from initial plans and expectations. Such deviations are quite common and natural ...’ (Patton, 1980, p 69; 1990, p. 105; Patton, 2002, p. 161)