Abstract
We developed three methods (rating, ranking, and discrete choice) for identifying patients’ preferred depression treatments based on their prioritization of specific treatment attributes (e.g., medication side effects, psychotherapy characteristics) at treatment intake. Community mental health patients with depressive symptoms participated in separate studies of predictive validity (N = 193) and short-term (1-week) stability (N = 40). Patients who received non-preferred initial treatments (based on the choice method) switched treatments significantly more often than those who received preferred initial treatments. Receiving a non-preferred treatment at any point (based on rating and choice methods) was a significant predictor of longer treatment duration. All three methods demonstrated good short-term stability.
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This research was funded by National Institute of Mental Health Grant R34-MH085817. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the University of Pennsylvania.
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This research was reviewed and approved by the University of Pennsylvania IRB and City of Philadelphia IRB. All procedures involving human participants were in accordance with the ethical standards of the IRB, the 1964 Declaration of Helsinki, and its later amendments.
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Crits-Christoph, P., Gallop, R., Diehl, C.K. et al. Methods for Incorporating Patient Preferences for Treatments of Depression in Community Mental Health Settings. Adm Policy Ment Health 44, 735–746 (2017). https://doi.org/10.1007/s10488-016-0746-1
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DOI: https://doi.org/10.1007/s10488-016-0746-1