ABSTRACT

Internet-based psychodynamic psychotherapy (iPDT) for adolescents has been found to be effective for treating depression, but not much is known about its active ingredients. Objective: To explore the techniques used in chat sessions in an iPDT program for depressed adolescents, and to investigate whether they predicted improvement in depression symptoms. Method: The study uses data collected from a pilot study. The iPDT consisted of 8 modules delivered over 10 weeks that included text, video, exercises, and a weekly text-based chat session with a therapeutic support worker (TSW). The participants were 23 adolescents meeting criteria for depression. The TSWs were 9 psychology master’s students. A depression inventory QIDS-A17-SR was filled weekly by the participants, and a self-rated techniques inventory (MULTI-30) was filled by the TSWs after each chat session. Results: Common factor techniques were the most widely used techniques in the chat sessions. Both common factors and psychodynamic techniques predicted improvement in depression, with psychodynamic techniques predicting improvement at the following week. CBT techniques were also used but did not predict improvement in depression. Conclusion: iPDT seem to work in line with theory, where the mechanisms thought to be important for change in treatment were predictive of outcome.

摘要

已发现针对青少年的基于互联网的心理动力学心理治疗 (iPDT) 可有效治疗抑郁症，但对其有效成分知之甚少。目的：探索 iPDT 计划中用于抑郁青少年的聊天会话的技术，并调查它们是否能预测抑郁症状的改善。方法：该研究使用从试点研究中收集的数据。iPDT 由 10 周内交付的 8 个模块组成，其中包括文本、视频、练习以及与治疗支持人员 (TSW) 的每周基于文本的聊天会话。参与者是 23 名符合抑郁症标准的青少年。TSW是9名心理学硕士生。参与者每周填写一份抑郁症清单 QIDS-A17-SR，每次聊天后 TSW 填写一份自评技术清单 (MULTI-30)。结果：共同因素技术是聊天会话中使用最广泛的技术。共同因素和心理动力学技术都预测抑郁症的改善，心理动力学技术预测下周的改善。还使用了 CBT 技术，但并未预测抑郁症的改善。结论：iPDT 似乎与理论一致，其中被认为对改变治疗很重要的机制可以预测结果。