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An integrative complexity analysis of cognitive behaviour therapy sessions for borderline personality disorder.

机译:边缘性人格障碍的认知行为治疗会议的综合复杂性分析。

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OBJECTIVES: Integrative complexity (IC), a measure of cognitive style, was used to analyse discourse in Cognitive Behaviour Therapy (CBT) sessions from patients with borderline personality disorder treated in the BOSCOT trial. It was predicted that patients' level of integrative complexity would be positively associated with the outcome of therapy. That is, an increase in patients' level of integrative complexity would be associated with good outcome. We also predicted that therapists would also show an increase in the level of complexity associated with their patient's increase in integrative complexity and good outcome. DESIGN: Ten patients who received CBT were categorized according to the outcome, good (N=5) and poor (N=5), using an algorithm that incorporated the number of suicide attempts and magnitude of change in severity of depression during therapy. METHOD: For each patient and their therapist, an early and a late therapy session were transcribed and coded for integrative complexity (IC) (N=20 sessions transcribed). IC scores for patients and therapists were compared across early and late therapy sessions and for good and poor outcomes of therapy. RESULTS: The majority of discourse was at the lower levels of IC. Higher levels of IC at baseline were related to depression and anxiety. Good outcome was not associated with a change in the level of IC between earlier and later CBT sessions. Therapists, however, showed an increase in IC when patient's outcome was poor. In addition, an increase in patient's IC was associated with improvement in social functioning. CONCLUSIONS: Therapists may overcompensate for patient's poor outcome by giving more complex explanations to patients. Higher complexity does not necessarily lead to better outcomes.
机译:目的:综合复杂性(IC)是一种衡量认知风格的方法,用于分析在BOSCOT试验中治疗的边缘性人格障碍患者的认知行为疗法(CBT)会话中的论述。据预测,患者的综合复杂性水平将与治疗结果呈正相关。也就是说,患者综合复杂性水平的提高将与良好的预后相关。我们还预测,治疗师还将显示出与患者综合复杂性和良好结局增加相关的复杂性水平。设计:使用纳入治疗过程中自杀未遂次数和抑郁严重程度变化幅度的算法,根据结果分为好(N = 5)和差(N = 5)的十名接受CBT的患者。方法:对于每位患者及其治疗师,转录其早期和晚期治疗方案并编码为综合复杂性(IC)(N = 20个方案)。比较了患者和治疗师在早期和晚期治疗以及治疗的好坏方面的IC得分。结果:大部分的讨论是在较低的IC级别。基线时较高的IC水平与抑郁和焦虑有关。良好的结果与早晚CBT会议之间IC水平的变化无关。然而,当患者的预后较差时,治疗师的IC会增加。另外,患者IC的增加与社交功能的改善有关。结论:治疗师可能会通过对患者进行更复杂的解释来弥补患者的不良预后。较高的复杂性并不一定会导致更好的结果。

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