Predictors of outcome for telephone and face-to-face administered cognitive behavioral therapy for depression

Author:

Stiles-Shields C.,Corden M. E.,Kwasny M. J.,Schueller S. M.,Mohr D. C.

Abstract

BackgroundCognitive behavioral therapy (CBT) can be delivered efficaciously through various modalities, including telephone (T-CBT) and face-to-face (FtF-CBT). The purpose of this study was to explore predictors of outcome in T-CBT and FtF-CBT for depression.MethodA total of 325 depressed participants were randomized to receive eighteen 45-min sessions of T-CBT or FtF-CBT. Depression severity was measured using the Hamilton Depression Rating Scale (HAMD) and the Patient Health Questionnaire-9 (PHQ-9). Classification and regression tree (CART) analyses were conducted with baseline participant demographics and psychological characteristics predicting depression outcomes, HAMD and PHQ-9, at end of treatment (week 18).ResultsThe demographic and psychological characteristics accurately identified 85.3% and 85.0% of treatment responders and 85.7% and 85.0% of treatment non-responders on the HAMD and PHQ-9, respectively. The Coping self-efficacy (CSE) scale predicted outcome on both the HAMD and PHQ-9; those with moderate to high CSE were likely to respond with no other variable influencing that prediction. Among those with low CSE, depression severity influenced response. Social support, physical functioning, and employment emerged as predictors only for the HAMD, and sex predicted response on the PHQ-9. Treatment delivery method (i.e. telephone or face-to-face) did not impact the prediction of outcome.ConclusionsFindings suggest that the predictors of improved depression are similar across treatment modalities. Most importantly, a moderate to high level of CSE significantly increases the chance of responding in both T-CBT and FtF-CBT. Among patients with low CSE, those with lower depressive symptom severity are more likely to do well in treatment.

Publisher

Cambridge University Press (CUP)

Subject

Psychiatry and Mental health,Applied Psychology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3