Zandberg Laurie J, Rosenfield David, Alpert Elizabeth, McLean Carmen P, Foa Edna B
Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA.
Department of Psychology, Southern Methodist University, Dallas, TX, USA.
Behav Res Ther. 2016 May;80:1-9. doi: 10.1016/j.brat.2016.02.005. Epub 2016 Mar 3.
The present study examined predictors and moderators of dropout among 165 adults meeting DSM-IV criteria for posttraumatic stress disorder (PTSD) and alcohol dependence (AD). Participants were randomized to 24 weeks of naltrexone (NAL), NAL and prolonged exposure (PE), pill placebo, or pill placebo and PE. All participants received supportive AD counseling (the BRENDA manualized model).
Logistic regression using the Fournier approach was conducted to investigate baseline predictors of dropout across the entire study sample. Rates of PTSD and AD symptom improvement were included to evaluate the impact of symptom change on dropout.
Trauma type and rates of PTSD and AD improvement significantly predicted dropout, accounting for 76% of the variance in dropout. Accidents and "other" trauma were associated with the highest dropout, and physical assault was associated with the lowest dropout. For participants with low baseline PTSD severity, faster PTSD improvement predicted higher dropout. For those with high baseline severity, both very fast and very slow rates of PTSD improvement were associated with higher dropout. Faster rates of drinking improvement predicted higher dropout among participants who received PE.
The current study highlights the influence of symptom trajectory on dropout risk. Clinicians may improve retention in PTSD-AD treatments by monitoring symptom change at regular intervals, and eliciting patient feedback on these changes.
本研究考察了165名符合《精神疾病诊断与统计手册》第四版(DSM-IV)创伤后应激障碍(PTSD)和酒精依赖(AD)标准的成年人中退出治疗的预测因素和调节因素。参与者被随机分为四组,分别接受为期24周的纳曲酮(NAL)治疗、纳曲酮与延长暴露疗法(PE)、丸剂安慰剂,或丸剂安慰剂与延长暴露疗法。所有参与者均接受支持性酒精依赖咨询(BRENDA手册化模型)。
采用傅立叶方法进行逻辑回归,以调查整个研究样本中退出治疗的基线预测因素。纳入PTSD和AD症状改善率,以评估症状变化对退出治疗的影响。
创伤类型以及PTSD和AD的改善率显著预测了退出治疗情况,解释了退出治疗差异的76%。事故和“其他”创伤与最高的退出率相关,身体攻击与最低的退出率相关。对于基线PTSD严重程度较低的参与者,PTSD改善较快预示着退出率较高。对于基线严重程度较高的参与者,PTSD改善非常快和非常慢都与较高的退出率相关。饮酒改善较快预示着接受延长暴露疗法的参与者退出率较高。
本研究强调了症状轨迹对退出治疗风险的影响。临床医生可以通过定期监测症状变化并征求患者对这些变化的反馈,来提高PTSD-AD治疗中的留存率。