ArticleAdministration and policy in mental health2017
Methods for Incorporating Patient Preferences for Treatments of Depression in Community Mental Health Settings.
Article in Administration and policy in mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using discrete choice experiments to develop and deliver patient-centered psychological interventions: a systematic review.Health psychology review · 2021Pooled it
- A multifaceted outpatient treatment model for mood and anxiety disorders designed to optimize both treatment outcomes and access to care.Psychotherapy (Chicago, Ill.) · 2025Article
- Health preference research: An overview for medical radiation sciences.Journal of medical radiation sciences · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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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