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Effective technology transfer in alcoholism treatment
1Mount Sinai School of Medicine, New York City, New York 10029, USA.
Substance Use & Misuse
|January 4, 2001
Summary
Current alcoholism treatment often lacks evidence-based care due to differing scientific and practitioner models. Research suggests the popular Minnesota model has weak supporting evidence, highlighting the need for collaboration to improve treatment effectiveness.
Area of Science:
- Addiction Medicine
- Health Services Research
- Psychology
Background:
- Alcoholism treatment in the U.S. frequently lacks evidence-based practices.
- A significant barrier to effective care is the divergence between scientific research and clinical practice, often rooted in allegiance to contrasting treatment models.
- The Minnesota model, a prevalent approach, is examined for its underlying assumptions.
Purpose of the Study:
- To identify and review research related to four core assumptions of the Minnesota model.
- To assess the empirical support for these assumptions within the context of alcoholism treatment.
- To explore strategies for improving research-practice knowledge transfer in addiction services.
Main Methods:
- Literature review of studies examining the assumptions of the Minnesota model.
- Analysis of existing research on the efficacy of various alcoholism treatment approaches.
- Description of two case studies illustrating research-practitioner collaboration.
Main Results:
- Empirical evidence provides limited support for the key assumptions underlying the Minnesota model.
- The superiority of alternative, science-based treatments over current practices remains variably supported.
- Collaboration between researchers and practitioners is crucial for effective technology transfer.
Conclusions:
- The Minnesota model's foundational assumptions are not well-supported by current research.
- There is a need to promote collaboration between scientists and practitioners to bridge the research-practice gap in alcoholism treatment.
- Developing research paradigms that are both scientifically rigorous and practically relevant is essential for advancing evidence-based addiction care.