Andreasson M, Schenström J, Bjureberg J, Klintwall L
Department of Psychology. Uppsala University, Sweden.
Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet & Stockholm Health Care Services, Region Stockholm, Sweden.
J Pers Oriented Res. 2023 Jun 17;9(1):29-41. doi: 10.17505/jpor.2023.25260. eCollection 2023.
Conceptualizing psychiatric disorders as idiosyncratic networks of mutually reinforcing behaviors and emotions has a long history in the form of psychotherapy case conceptualizations created collaboratively by therapist and patient. However, such methods are typically unsystematic and biased by therapist assumptions. An alternative is Perceived Causal Networks (PECAN), a structured online questionnaire in which patients quantify causal relations between problematic behaviors and emotions, and responses are visualized in the form of a network. In the present study, PECAN was evaluated for clinical utility at the start of therapy for five patients screening positive for depression. As expected, the five networks were found to be highly idiosyncratic, with two revealing the expected maintaining feedback loops. Both therapists and patients evaluated the method as useful in the initial phase of a therapy treatment. Although PECAN shows promise as a clinical tool, findings suggest that the method could be improved by including contextual factors maintaining depression.
将精神疾病概念化为相互强化的行为和情感的独特网络，这种方式由来已久，其形式为治疗师与患者共同创建的心理治疗案例概念化。然而，此类方法通常缺乏系统性，且受治疗师假设的影响存在偏差。一种替代方法是感知因果网络（PECAN），这是一种结构化的在线问卷，患者可对问题行为与情感之间的因果关系进行量化，其回答以网络形式呈现。在本研究中，对五名抑郁症筛查呈阳性的患者在治疗开始时评估了PECAN的临床效用。正如预期的那样，发现这五个网络高度独特，其中两个显示出预期的维持反馈回路。治疗师和患者都认为该方法在治疗的初始阶段很有用。尽管PECAN作为一种临床工具显示出前景，但研究结果表明，通过纳入维持抑郁症的背景因素，该方法可能会得到改进。
