Substance abuse interventions for parents involved in the child welfare system: evidence and implications

Autor: Michael J. Austin, Kathy Lemon Osterling
Rok vydání: 2008
Předmět:
Zdroj: Journal of evidence-based social work. 5(1-2)
ISSN: 1543-3722
Popis: As child welfare systems across the country face the problem of parental substance abuse, there is an increasing need to understand the types of treatment approaches that are most effective for substance-abusing parents in the child welfare system-the majority of whom are mothers. This structured review of the literature focuses on evidence related to two areas: (1) individual-level interventions designed to assist mothers and women in addressing their substance abuse problems, and (2) system-level interventions designed to improve collaboration and coordination between the child welfare system and the alcohol and other drug system. Overall, research suggests the following program components may be effective with substance-abusing women with children: (1) Women-centered treatment that involves children, (2) Specialized health and mental health services, (3) Home visitation services, (4) Concrete assistance, (5) Short-term targeted interventions, and (6) Comprehensive programs that integrate many of these components. Research also suggests that promising collaborative models between the child welfare system (CWS) and the alcohol and other drug (AOD) system typically include the following core elements: (1) Out-stationing AOD workers in child welfare offices, (2) Joint case planning, (3) Using official committees to guide collaborative efforts, (4) Training and cross-training, (5) Using protocols for sharing confidential information, and (6) Using dependency drug courts. Although more rigorous research is needed on both individual-level and system-level substance abuse interventions for parents involved in the child welfare system, the integration of individual-level interventions and system-level approaches is a potentially useful practice approach with this vulnerable population.
Databáze: OpenAIRE