Department of Psychology, University of Alaska Anchorage, Anchorage, AK 99508, USA.
J Consult Clin Psychol. 2012 Aug;80(4):547-59. doi: 10.1037/a0028226. Epub 2012 Apr 16.
Premature discontinuation from therapy is a widespread problem that impedes the delivery of otherwise effective psychological interventions. The most recent comprehensive review found an average dropout rate of 47% across 125 studies (Wierzbicki & Pekarik, 1993); however, given a number of changes in the field over the past 2 decades, an updated meta-analysis is needed to examine the current phenomenon of therapy dropout.
A series of meta-analyses and meta-regressions were conducted in order to identify the rate at which treatment dropout occurs and predictors of its occurrence. This review included 669 studies representing 83,834 clients.
Averaging across studies using a random effects model, the weighted dropout rate was 19.7%, 95% CI [18.7%, 20.7%]. Further analyses, also using random effects models, indicated that the overall dropout rate was moderated by client diagnosis and age, provider experience level, setting for the intervention, definition of dropout, type of study (efficacy vs. effectiveness), and other design variables. Dropout was not moderated by orientation of therapy, whether treatment was provided in an individual or group format, and a number of client demographic variables.
Although premature discontinuation is occurring at a lower rate than what was estimated 20 years ago (Wierzbicki & Pekarik, 1993), it is still a significant problem, with about 1 in every 5 clients dropping out of therapy. Special efforts should be made to decrease premature discontinuation, particularly with clients who are younger, have a personality or eating disorder diagnosis, and are seen by trainee clinicians.
治疗提前中断是一个普遍存在的问题,它阻碍了原本有效的心理干预措施的实施。最近的一项全面综述发现,在 125 项研究中,平均辍学率为 47%(Wierzbicki & Pekarik,1993);然而,鉴于过去 20 年该领域的许多变化,需要进行更新的荟萃分析来研究当前的治疗辍学现象。
进行了一系列荟萃分析和元回归,以确定治疗中断的发生率及其发生的预测因素。本综述包括 669 项研究,代表 83834 名患者。
采用随机效应模型对所有研究进行平均处理,加权辍学率为 19.7%,95%CI [18.7%,20.7%]。进一步的分析也使用随机效应模型表明,患者的诊断和年龄、治疗师的经验水平、干预措施的设置、辍学的定义、研究类型(疗效与效果)以及其他设计变量都会调节整体辍学率。但治疗的取向、治疗是在个体还是团体形式下进行以及一些患者人口统计学变量并不会调节辍学率。
尽管与 20 年前(Wierzbicki & Pekarik,1993)相比,提前中断的情况发生率有所下降,但它仍然是一个严重的问题,大约每 5 个患者中就有 1 个提前中断治疗。应特别努力减少提前中断的情况,特别是对年龄较小、有个性或饮食障碍诊断的患者,以及由实习临床医生进行治疗的患者。