Literature DB >> 17602011

Co-occurring psychiatric and substance use disorders: a multistate feasibility study of the quadrant model.

Mark P McGovern1, Robin E Clark, Mihail Samnaliev.   

Abstract

OBJECTIVE: The quadrant model was developed to organize the heterogeneous group of persons with co-occurring psychiatric and substance use disorders and to anticipate differential use of systems of care. The purpose of the study presented here was to test the feasibility of applying the model to classify persons with co-occurring disorders, examine the reliability of quadrant prevalence and distribution, and test the validity of differential service use by quadrant.
METHODS: Medicaid claims data from 1999 from six states were analyzed, and 22,912 individuals with co-occurring disorders were classified into quadrants, by severity of substance use and psychiatric disorders. Distribution by quadrant and the utilization of emergency and inpatient services were analyzed.
RESULTS: A majority of cases were classified in quadrant IV (52.5%) (high severity of psychiatric and substance use disorders), and fewest were classified in quadrant I (8.2%) (low severity of psychiatric and substance use disorders). There was equivalence in distribution for quadrant III (19.8%) (high severity of substance use disorders and low severity of psychiatric disorders) and quadrant II (19.4%) (high severity of psychiatric disorders and low severity of substance use disorders). Distribution was consistent across states, and service utilization was most associated with quadrant IV. Persons with the more severe psychiatric problems (quadrants II and IV) were more likely to be female, to be older, and to have been hospitalized or to have visited an emergency department. Another important finding is the high rate of persons with substance dependence disorders (quadrants III and IV).
CONCLUSIONS: The feasibility of applying the quadrant model was supported. The quadrant model has been well adopted conceptually by community providers and policy makers. The consistency of the findings across six state Medicaid systems supports the potential utility of the model to articulate patient characteristics and service use patterns. Further application and research with this model is proposed.

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Year:  2007        PMID: 17602011     DOI: 10.1176/ps.2007.58.7.949

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  7 in total

1.  Behavioral health services influence medical treatment utilization among primary care patients with comorbid substance use and depression.

Authors:  Benjamin I Felleman; Dylan R Athenour; Minhdan T Ta; David G Stewart
Journal:  J Clin Psychol Med Settings       Date:  2013-12

2.  Differential service utilization associated with trauma-informed integrated treatment for women with co-occurring disorders.

Authors:  Allison R Gilbert; Marisa E Domino; Joseph P Morrissey; Bradley N Gaynes
Journal:  Adm Policy Ment Health       Date:  2012-11

3.  Serious Mental Illness in Heavy Drinkers Is Associated with Poor Treatment Outcomes in Outpatients with Co-occurring Disorders.

Authors:  Oladunni Oluwoye; Emily Leickly; Jordan Skalisky; Sterling McPherson; Katherine Hirchak; Debra Srebnik; John M Roll; Richard K Ries; Michael G McDonell
Journal:  Int J Ment Health Addict       Date:  2017-10-31       Impact factor: 3.836

4.  Predictors of alcohol and drug dependence.

Authors:  Marie-Josée Fleury; Guy Grenier; Jean-Marie Bamvita; Michel Perreault; Jean Caron
Journal:  Can J Psychiatry       Date:  2014-04       Impact factor: 4.356

5.  Treatment for illegal drug use disorders: the role of comorbid mood and anxiety disorders.

Authors:  Maria Melchior; Elena Prokofyeva; Nadia Younès; Pamela J Surkan; Silvia S Martins
Journal:  BMC Psychiatry       Date:  2014-03-26       Impact factor: 3.630

6.  Principles of Care for Young Adults With Co-Occurring Psychiatric and Substance Use Disorders.

Authors:  Andrea E Spencer; Sarah E Valentine; Jennifer Sikov; Amy M Yule; Heather Hsu; Eliza Hallett; Ziming Xuan; Michael Silverstein; Lisa Fortuna
Journal:  Pediatrics       Date:  2021-01       Impact factor: 7.124

Review 7.  Assessment of clinical co-morbidities.

Authors:  Debasish Basu; Aniruddha Basu; Abhishek Ghosh
Journal:  Indian J Psychiatry       Date:  2018-02       Impact factor: 1.759

  7 in total

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