Predictors of dropout from group therapy among patients with bipolar and substance use disorders.

Fiona S Graff, Margaret L Griffin, Roger D Weiss
Author Information
  1. Fiona S Graff: Department of Psychiatry, Harvard Medical School and McLean Hospital, 115 Mill Street, Belmont, MA 02478, United States.

Abstract

OBJECTIVE: Bipolar and substance use disorders frequently co-occur. Integrated treatment for these disorders has been shown to be effective at reducing substance use, but no study has examined attrition from dual diagnosis group therapy. The current study identified baseline demographic and clinical characteristics that predict treatment dropout among patients with co-occurring bipolar and substance use disorders.
METHOD: Using binary and multivariate analyses, baseline data were analyzed as part of a randomized controlled trial of integrated group therapy for bipolar and substance use disorders.
RESULTS: Cigarette smoking, recent mood episode, and lack of a college education were strong predictors of dropout after controlling for demographic and substance use variables.
CONCLUSIONS: Given the strength of smoking as a predictor of dropout as well as the high rate of smoking among this population, a greater focus on the relationship between smoking and bipolar disorder is warranted.

References

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Grants

  1. K24 DA022288-01A1/NIDA NIH HHS
  2. K24 DA022288/NIDA NIH HHS
  3. DA 15968/NIDA NIH HHS
  4. R01 DA015968-05/NIDA NIH HHS
  5. R01 DA015968/NIDA NIH HHS

MeSH Term

Adult
Bipolar Disorder
Comorbidity
Diagnostic and Statistical Manual of Mental Disorders
Female
Humans
Male
Patient Dropouts
Predictive Value of Tests
Prospective Studies
Psychotherapy, Group
Substance-Related Disorders

Word Cloud

Created with Highcharts 10.0.0substanceusedisordersdropoutbipolarsmokinggrouptherapyamongtreatmentstudybaselinedemographicpatientsOBJECTIVE:Bipolarfrequentlyco-occurIntegratedshowneffectivereducingexaminedattritiondualdiagnosiscurrentidentifiedclinicalcharacteristicspredictco-occurringMETHOD:UsingbinarymultivariateanalysesdataanalyzedpartrandomizedcontrolledtrialintegratedRESULTS:CigaretterecentmoodepisodelackcollegeeducationstrongpredictorscontrollingvariablesCONCLUSIONS:GivenstrengthpredictorwellhighratepopulationgreaterfocusrelationshipdisorderwarrantedPredictors

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