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Predictors of Attrition and Response in Cognitive Processing Therapy for Interpersonal Trauma Survivors with PTSD
Journal of Interpersonal Violence ( IF 2.6 ) Pub Date : 2021-09-09 , DOI: 10.1177/08862605211043584
Sophie E Haven 1 , Wilson J Brown 2 , Jillian B Berfield 1 , Steven E Bruce 1
Affiliation  

With the establishment of empirically validated treatments for posttraumatic stress disorder (PTSD), concerns remain regarding the effectiveness of such treatments in real-world clinical settings. Specifically, premature termination and treatment response limit the effectiveness of these interventions. The current study investigated factors potentially related to premature termination and treatment response in Cognitive Processing Therapy with Account (CPT-A). Participants in this study included 42 women (Mage = 30.70 SDage = 9.40) with PTSD from exposure to interpersonal trauma. Demographic characteristics, pre-treatment symptoms of PTSD and depression, and transdiagnostic factors were examined as predictors of attrition and treatment response. Hierarchical regression and logistic regression models were analyzed to test the variance explained and predictive value of these factors. The present study revealed that age was a significant factor related to dropout from CPT-A whereas baseline PTSD symptom severity was significantly related to treatment response. Results of this study suggest the importance of the interrelationships among pre-treatment predictors as well as the consideration of attrition and treatment response as distinct metrics of treatment outcome. Further, these results inform the application of CPT-A for PTSD in survivors of interpersonal trauma, as consideration of the identified predictors of dropout and non-response at intake may contribute to treatment retention and response.



中文翻译:

PTSD 人际创伤幸存者认知加工疗法中损耗和反应的预测因子

随着经经验验证的创伤后应激障碍 (PTSD) 治疗方法的建立,人们仍然担心此类治疗在现实世界临床环境中的有效性。具体而言,过早终止和治疗反应限制了这些干预措施的有效性。目前的研究调查了可能与账户认知加工疗法 (CPT-A) 中的提前终止和治疗反应相关的因素。本研究的参与者包括 42 名女性(M年龄 = 30.70 SD年龄 = 9.40) 因接触人际创伤而患上 PTSD。人口统计学特征、PTSD 和抑郁症的治疗前症状以及跨诊断因素被检查为损耗和治疗反应的预测因素。分析了分层回归和逻辑回归模型以检验这些因素的方差解释和预测值。本研究表明,年龄是与 CPT-A 退出相关的重要因素,而基线 PTSD 症状严重程度与治疗反应显着相关。这项研究的结果表明治疗前预测因素之间相互关系的重要性,以及将损耗和治疗反应作为治疗结果的不同指标的考虑。此外,这些结果为 CPT-A 在人际创伤幸存者的 PTSD 中的应用提供了信息,

更新日期:2021-09-09
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