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Using Case Formulation for Prediction of the Therapeutic Alliance in Treatment for Borderline Personality Disorder

机译:使用案例表述预测边缘型人格障碍治疗中的治疗联盟

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Case formulation is a central tool for psychotherapists, which helps them tailor psychotherapy to the individual patient, particularly for treatments for complex and multilayered clinical problems, such as personality disorders (Kramer, 2019). Case formulation methodologies are still underutilized in psychotherapy research in the prediction of therapy processes. The present study included N = 60 patients with borderline personality disorder undergoing a brief treatment using an individualized treatment component (n = 31), as compared with a standard brief treatment (n = 29; Kramer et al., 2014). For each patient (in both groups as post hoc analysis based on videos), we performed a Plan analysis case formulation (Caspar, 2019): the idiographic information from the formulation was translated into quantitative scores (on a Likert-type scale) assessing patient's interactional agreeableness (vs. antagonism; Zufferey et al., 2019). We modeled the session-by-session predictions of the progression of the therapeutic alliance-rated by the patient and the therapist-over the course of treatment, as a function of interactional agreeableness, the individualization of treatment, as well as their interaction with the session number. Patients with high levels of agreeableness have a significant increase in their alliance assessment over time. Treatment based on the case formulation predicted session-by-session increase of the therapeutic alliance as rated by the therapists. This study was the first to explore intra- and interindividual dynamics of the therapeutic alliance in relationship with idiographic information extracted from case formulations. The results may help understand relationship struggles at the beginning of therapy for complex clinical problems, such as borderline personality disorder.
机译:配方是一个重要工具心理治疗师,帮助他们调整个别病人心理治疗,特别是对于治疗复杂多层的临床问题,例如人格障碍(克莱默,2019)。制定方法仍未得到充分利用在心理治疗研究的预测治疗过程。60边缘型人格障碍患者进行一个简短的治疗使用个性化治疗组件(n = 31)与一个标准的短暂治疗(n = 29;克雷默et al ., 2014)。组事后分析基于视频),我们执行一个计划分析公式(卡斯帕,2019):具体信息制定转化为定量分数(规模Likert-type)评估病人的交互性随和(vs。对抗;session-by-session的预言alliance-rated治疗的进展病人的therapist-over课程治疗,交互性的函数随和性的个性化治疗,以及它们的交互会话数量。随和性有显著增加随着时间的推移他们的联盟评估。根据情况制定预测session-by-session增加治疗的联盟额定的治疗师。是第一个探索内部和个人间的动力学治疗联盟与具体的关系从案例中提取配方信息。结果可能有助于理解的关系挣扎在治疗复杂的开始临床问题,如边缘型人格障碍。

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