Predicting Treatment Dropout Among Veterans Receiving Prolonged Exposure Therapy
Predicting Treatment Dropout Among Veterans Receiving Prolonged Exposure Therapy
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DOI：
10.1037/tra0000484
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发表时间：
2020-05-01
影响因子：
6.3
通讯作者：
Rosen, Craig S.
中科院分区：
文献类型：
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作者：
Eftekhari, Afsoon;Crowley, Jill J.;Rosen, Craig S.
目的：检查是否可以根据临床医生通常可获得的人口统计学和结局数据预测长期暴露（PE）治疗的脱落。方法：在美国退伍军人健康管理局体育培训项目中，对2,606例由临床医生治疗的患者进行了脱落检查。PE通常包括8-15个疗程，8个疗程被认为是大多数患者的最低治疗剂量。使用逻辑回归评估人口统计学、抑郁、创伤史和PE靶创伤对脱落风险的影响。生长混合模型用于研究创伤后应激障碍症状模式在前5次治疗中如何预测辍学。结果：共有782例患者（30.0%）完成了少于8次的PE。年轻的退伍军人更有可能退出PE;每年的比值比（OR）= 0.97，p
Objective: To examine whether dropout from prolonged exposure (PE) therapy can be predicted from demographic and outcomes data that would typically be available to clinicians. Methods: Dropout was examined in 2,606 patients treated by clinicians in the U.S. Veterans Health Administration PE Training Program. PE typically consists of 8-15 sessions, with 8 sessions being considered a minimum therapeutic dose for most patients. Logistic regression was used to assess the impact of demographics, depression, trauma history, and PE target trauma on risk for dropout. Growth mixture modeling was used to study how posttraumatic stress disorder symptom patterns during the first 5 treatment encounters predicted dropout. Results: In total, 782 patients (30.0%) completed fewer than 8 sessions of PE. Younger veterans were more likely to drop out of PE; odds ratio (OR) per year of age = 0.97, p