Patient preferences for important attributes of bipolar depression treatments: A discrete choice experiment

Abstract

Purpose: The purpose of this study was to assess patient preferences regarding pharmacological treatment attributes for bipolar depression using a discrete choice experiment (DCE). Methods: Adult members of an Internet survey panel with a self-reported diagnosis of bipolar depression were invited via e-mail to participate in a web-based DCE survey. Participants were asked to choose between hypothetical medication alternatives defined by attributes and levels that were varied systematically. The six treatment attributes included in the DCE were time to improvement, risk of becoming manic, weight gain, risk of sedation, increased blood sugar, and increased cholesterol. Attributes were supported by literature review, expert input, and results of focus groups with patients. Sawtooth CBC System for Choice-Based Conjoint Analysis was used to estimate the part-worth utilities for the DCE analyses. Results: The analytical sample included 185 participants (50.8% females) from a total of 200 participants. The DCE analyses found weight gain to be the most important treatment attribute (relative importance =49.6%), followed by risk of sedation (20.2%), risk of mania (13.0%), increased blood sugar (8.3%), increased cholesterol (5.2%), and time to improvement (3.7%). Conclusion: Results from this DCE suggest that adults with bipolar depression considered risks of weight gain and sedation associated with pharmacotherapy as the most important attributes for the treatment of bipolar depression. Incorporating patient preferences in the treatment decision-making process may potentially have an impact on treatment adherence and satisfaction and, ultimately, patient outcomes.