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Patient treatment preference as a predictor of response and attrition in treatment for chronic depression
Dana Steidtmann1, Rachel Manber, Bruce A Arnow
1Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Stanford, California 94305–5722, USA. dsteidt@stanford.edu
Background:
Findings regarding the relationship between patient treatment preference and treatment outcome are mixed. This is a secondary data analysis investigating the relationship between treatment preference, and symptom outcome and attrition in a large two-phase depression treatment trial.
Methods:
Patients met DSM-IV criteria for chronic forms of depression. Phase I was a 12-week, nonrandomized, open-label trial in which all participants (n = 785) received antidepressant medication(s) (ADM). Phase I nonremitters were randomized to Phase II, in which they received 12 weeks of either cognitive-behavioral system of psychotherapy (CBASP) + ADM (n = 193), brief supportive psychotherapy (BSP) + ADM (n = 187), or ADM only (n = 93). Participants indicated their treatment preference (medication only, combined treatment or no preference) at study entry. Symptoms were measured at 2-week intervals with the 24-item Hamilton Rating Scale for Depression (HAM-D).
Results:
A large majority of patients reported a preference for combined treatment. Patients who preferred medication only were more likely to endorse a chemical imbalance explanation for depression, whereas those desiring combined treatment were more likely to attribute their depression to stressful experiences. In Phase I, patients who expressed no treatment preference showed greater rates of HAM-D symptom reduction than those with any preference, and patients with a preference for medication showed higher attrition than those preferring combined treatment. In Phase II, baseline treatment preference was not associated with symptom reduction or attrition.
Conclusions:
Treatment preferences may moderate treatment response and attrition in unexpected ways. Research identifying factors associated with differing preferences may enable improved treatment retention and response.
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