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Dropouts versus completers among chronically depressed outpatients.
Bruce A Arnow1, Christine Blasey, Rachel Manber
1Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305-5722, United States. arnow@stanford.edu
Journal of Affective Disorders
|July 22, 2006
Summary
Patient characteristics like minority status and anxiety predict premature depression treatment dropout. Ethnic minorities and those with anxiety need tailored strategies, especially with pharmacotherapy.
Area of Science:
- Psychiatry
- Clinical Psychology
- Pharmacology
Background:
- Premature termination of depression treatment is frequent with both pharmacotherapy and psychotherapy.
- Factors influencing dropout in depressed patients remain under-investigated.
Purpose of the Study:
- To identify predictors, time to dropout, and reasons for premature termination.
- To compare dropout rates and characteristics across three treatment arms: nefazadone alone (MED), cognitive behavioral analysis system of psychotherapy alone (CBASP), and combined treatment (COMB).
Main Methods:
- Randomized controlled trial involving 681 adult outpatients with chronic major depression.
- Participants were assigned to MED, CBASP, or COMB for 12 weeks.
- Dropout was defined as premature termination from the acute phase treatment.
Main Results:
- Dropout rates were similar across MED, CBASP, and COMB.
- Combined treatment (COMB) showed longer treatment duration for dropouts compared to monotherapies.
- Medication side-effect attributed dropouts were lower in COMB than MED.
- Minority status, younger age, lower income, and comorbid anxiety predicted dropout.
- Lower therapeutic alliance scores predicted dropout in the CBASP group.
Conclusions:
- Baseline patient characteristics, not early treatment response, predicted dropout.
- Ethnic and racial minorities and patients with comorbid anxiety face higher risks of premature termination, particularly with pharmacotherapy.
- Modified treatment strategies may be necessary for high-risk patient groups.