@article{ref1,
title="Effectiveness of peer-supported computer-based CBT for depression among veterans in primary care",
journal="Psychiatric services",
year="2020",
author="Pfeiffer, Paul N. and Pope, Brooke and Houck, Marc and Benn-Burton, Wendy and Zivin, Kara and Ganoczy, Dara and Kim, H. Myra and Walters, Heather and Emerson, Lauren and Nelson, C. Beau and Abraham, Kristen M. and Valenstein, Marcia",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="OBJECTIVE: This study tested whether computerized cognitive-behavioral therapy for depression supported by a peer specialist with lived experience of depression (PS-cCBT) improves mental health-related outcomes for primary care patients. <br><br>METHODS: In the U.S. Department of Veterans Affairs, primary care patients with a new diagnosis of depression (N=330) were randomly assigned to 3 months of PS-cCBT or a usual-care control condition. Linear mixed-effects models were used to assess differences in depression symptoms, general mental health status, quality of life, and mental health recovery measured at baseline and 3 and 6 months. <br><br>RESULTS: In adjusted analyses, participants who received PS-cCBT experienced 1.4 points' (95% confidence interval [CI]=0.3-2.5, p=0.01) greater improvement in depression symptoms on the Quick Inventory of Depression Symptomatology-Self Report at 3 months, compared with the control group, but no significant difference was noted at 6 months. PS-cCBT recipients also had 2.6 points' (95% CI=0.5-4.8, p=0.02) greater improvement in quality of life at 3 months on the Quality of Life Enjoyment and Satisfaction Questionnaire Short Form and greater improvement in recovery on the Recovery Assessment Scale at 3 months (3.6 points; 95% CI=0.9-6.2, p=0.01) and 6 months (4.5 points; 95% CI=1.2-7.7, p=0.01). <br><br>CONCLUSIONS: PS-cCBT is an effective option for improving short-term depression symptoms and longer-term recovery among primary care patients newly diagnosed as having depression.<p /> <p>Language: en</p>",
language="en",
issn="1075-2730",
doi="10.1176/appi.ps.201900283",
url="http://dx.doi.org/10.1176/appi.ps.201900283"
}