Department of Psychiatry, The University of Texas Southwestern Medical Center, 5323 Harry Hines Boulevard, Dallas, TX, 75390-9149, United States.
Behav Res Ther. 2013 May;51(4-5):221-30. doi: 10.1016/j.brat.2013.01.006.
The aims were to predict cognitive therapy (CT) noncompletion and to determine, relative to other putative predictors, the extent to which the patient skills in CT for recurrent major depressive disorder predicted response in a large, two-site trial.
Among 523 outpatients aged 18e70, exposed to 12e14 weeks of CT, 21.6% dropped out. Of the 410 completers, 26.1% did not respond. To predict these outcomes, we conducted logistic regression analyses of demographics, pre-treatment illness characteristics and psychosocial measures, and midtreatment therapeutic alliance.
The 17-item Hamilton Rating Scale for Depression (HRSD17) scores at entry predicted dropout and nonresponse. Patients working for pay, of non-Hispanic white race, who were older, or had more education were significantly more likely to complete. Controlling for HRSD17, significant predictors of nonresponse included: lower scores on the Skills of Cognitive Therapy-Observer Version (SoCT-O), not working for pay, history of only two depressive episodes, greater pre-treatment social impairment. Midphase symptom reduction was a strong predictor of final outcome.
These prognostic indicators forecast which patients tend to be optimal candidates for standard CT, as well as which patients may benefit from changes in therapy, its focus, or from alternate modalities of treatment. Pending replication, the findings underscore the importance of promoting patients’ understanding and use of CT skills, as well as reducing depressive symptoms early. Future research may determine the extent to which these findings generalize to other therapies, providers who vary in competency, and patients with other depressive subtypes or disorders.
旨在预测认知疗法(CT)的完成情况,并确定相对于其他推测的预测因素,复发性重度抑郁症患者在 CT 中的技能相对于其他推测的预测因素在大型双站点试验中的反应程度。
在 523 名年龄在 18 至 70 岁之间、接受 12 至 14 周 CT 治疗的门诊患者中,有 21.6%的患者退出。在 410 名完成者中,有 26.1%的患者没有反应。为了预测这些结果,我们对人口统计学、治疗前疾病特征和心理社会测量以及中期治疗联盟进行了逻辑回归分析。
入组时的 17 项汉密尔顿抑郁量表(HRSD17)评分预测了脱落和无反应。有薪工作、非西班牙裔白人种族、年龄较大或受教育程度较高的患者更有可能完成治疗。控制 HRSD17 后,非反应的显著预测因素包括:认知治疗技能观察量表(SoCT-O)评分较低、无薪工作、仅两次抑郁发作史、治疗前社会功能障碍较大。中期症状减轻是最终结局的有力预测指标。
这些预后指标预测了哪些患者倾向于成为标准 CT 的最佳候选者,以及哪些患者可能从治疗、治疗重点或替代治疗方式的改变中受益。在等待复制的结果时,这些发现强调了促进患者对 CT 技能的理解和使用的重要性,以及尽早减轻抑郁症状。未来的研究可能会确定这些发现在多大程度上适用于其他疗法、在能力上各不相同的提供者以及其他抑郁亚型或障碍的患者。