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Contemp Clin Trials ; 78: 46-52, 2019 03.
Article in English | MEDLINE | ID: mdl-30572162

ABSTRACT

Computer-assisted cognitive-behavior therapy (CCBT) for depression in primary care will be evaluated in a trial with 240 patients randomly assigned to CCBT or treatment as usual (TAU). The study will disseminate a therapy method found to be effective in psychiatric settings into primary care - a setting in which there have been significant problems in the delivery of adequate, evidence-based treatment for depression. The study will include a high percentage of disadvantaged (low-income) patients - a population that has been largely ignored in previous research in CCBT. There have been no previous studies of CCBT for depression in primary care that have enrolled large numbers of disadvantaged patients. The form of CCBT used in this study is designed to increase access to effective therapy, provide a cost-effective method, and be a sustainable model for wide-spread use in primary care. In order to deliver therapy in a practical manner that can be replicated in other primary care practices, patients with significant symptoms of depression will receive treatment with an empirically supported computer program that builds cognitive-behavior therapy skills. Support for CCBT will be provided by telephone and/or e-mail contact with a care coordinator (CC) instead of face-to-face treatment with a cognitive-behavior therapist. Outcome will be assessed by measuring CCBT completion rate, comprehension of CBT concepts, and satisfaction with treatment, in addition to ratings of depressive symptoms, negative thoughts, and quality of life. The cost-effectiveness analysis and exploration of possible predictors of outcome should help clinicians, health care organizations, and others plan further dissemination of CCBT in primary care.


Subject(s)
Cognitive Behavioral Therapy/methods , Depression/therapy , Therapy, Computer-Assisted/methods , Adolescent , Adult , Aged , Cost-Benefit Analysis , Humans , Mental Health , Middle Aged , Motivational Interviewing , Patient Compliance , Patient Satisfaction , Poverty , Primary Health Care , Quality of Life , Research Design , Residence Characteristics , Severity of Illness Index , Therapy, Computer-Assisted/economics , Young Adult
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