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Beyond the limitations of best practices: how logic analysis helped reinterpret dual diagnosis guidelines.
- Source :
-
Evaluation and program planning [Eval Program Plann] 2007 Feb; Vol. 30 (1), pp. 94-104. Date of Electronic Publication: 2006 Dec 26. - Publication Year :
- 2007
-
Abstract
- The co-occurrence of mental health and substance use disorders is becoming increasingly recognized as a single problem, and professionals recognize that both should be addressed at the same time. Medical best practices recommend integrated treatment. However, criticisms have arisen, particularly concerning the difficulty of implementing integrated teams in specific health-care contexts and the appropriateness of the proposed model for certain populations. Using logic analysis, we identify the key clinical and organizational factors that contribute to successful implementation. Building on both the professional and organizational literatures on integrated services, we propose a conceptual model that makes it possible to analyze integration processes and places integrated treatment within an interpretative framework. Using this model, it becomes possible to identify key factors necessary to support service integration, and suggest new models of practice adapted to particular contexts.
- Subjects :
- Benchmarking
Diagnosis, Dual (Psychiatry)
Female
Humans
Logic
Male
Mental Disorders diagnosis
Mental Disorders epidemiology
Models, Organizational
Multi-Institutional Systems organization & administration
Outcome and Process Assessment, Health Care
Substance-Related Disorders diagnosis
Substance-Related Disorders epidemiology
Delivery of Health Care, Integrated organization & administration
Mental Disorders therapy
Mental Health Services organization & administration
Patient Care Team organization & administration
Substance-Related Disorders therapy
Subjects
Details
- Language :
- English
- ISSN :
- 1873-7870
- Volume :
- 30
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Evaluation and program planning
- Publication Type :
- Academic Journal
- Accession number :
- 17689316
- Full Text :
- https://doi.org/10.1016/j.evalprogplan.2006.10.005