Lam Sin U, Kirvin-Quamme Andrew, Goldberg Simon B
Department of Counseling Psychology, University of Wisconsin-Madison, Madison, WI, USA.
Center for Healthy Minds, University of Wisconsin-Madison, Madison, WI, USA.
Mindfulness (N Y). 2022 Nov;13(11):2676-2690. doi: 10.1007/s12671-022-01970-z. Epub 2022 Sep 9.
Attrition is very common in longitudinal research, including randomized controlled trials (RCTs) testing psychological interventions. Establishing rates and predictors of attrition in mindfulness-based interventions (MBIs) can assist clinical trialists and intervention developers. Differential attrition in RCTs that compared MBIs with structure and intensity matched active control conditions also provides an objective metric of relative treatment acceptability.
We aimed to evaluate rates and predictors of overall and differential attrition in RCTs of MBIs compared with matched active control conditions. Attrition was operationalized as loss to follow-up at post-test. Six online databases were searched.
Across 114 studies ( = 11,288), weighted mean attrition rate was 19.1% (95% CI [.16, .22]) in MBIs and 18.6% ([.16, .21]) in control conditions. In the primary model, no significant difference was found in attrition between MBIs and controls (i.e., differential attrition; odds ratio [OR] = 1.05, [0.92, 1.19]). However, in sensitivity analyses with trim-and-fill adjustment, without outliers, and when using different estimation methods (Peto and Mantel-Haenszel), MBIs yielded slightly higher attrition (ORs = 1.10 to 1.25, s < .050). Despite testing numerous moderators of overall and differential attrition, very few significant predictors emerged.
Results support efforts to increase the acceptability of MBIs, active controls, and/or RCTs, and highlight the possibility that for some individuals, MBIs may be less acceptable than alternative interventions. Further research including individual patient data meta-analysis is warranted to identify predictors of attrition and to characterize instances where MBIs may or may not be recommended. Meta-Analysis Review Registration: Open Science Framework (https://osf.io/c3u7a/).
在纵向研究中,失访现象非常普遍,包括测试心理干预措施的随机对照试验(RCT)。确定基于正念的干预措施(MBI)的失访率及预测因素有助于临床试验人员和干预措施开发者。将MBI与结构和强度匹配的积极对照条件进行比较的RCT中的差异失访,也提供了相对治疗可接受性的客观指标。
我们旨在评估与匹配的积极对照条件相比,MBI的RCT中总体失访和差异失访的发生率及预测因素。失访定义为在测试后随访失败。检索了六个在线数据库。
在114项研究(n = 11288)中,MBI的加权平均失访率为19.1%(95%CI[0.16, 0.22]),对照条件下为18.6%([0.16, 0.21])。在主要模型中,MBI与对照组之间的失访无显著差异(即差异失访;优势比[OR]=1.05,[0.92, 1.19])。然而,在采用修剪填充调整、无异常值以及使用不同估计方法(Peto法和Mantel-Haenszel法)的敏感性分析中,MBI的失访率略高(OR = 1.10至1.25,P <.050)。尽管测试了总体失访和差异失访的众多调节因素,但几乎没有出现显著的预测因素。
结果支持提高MBI、积极对照和/或RCT可接受性的努力,并突出了对于某些个体而言,MBI可能不如替代干预措施可接受的可能性。有必要进行进一步研究,包括个体患者数据的荟萃分析,以确定失访的预测因素,并描述推荐或不推荐MBI的情况。荟萃分析综述注册:开放科学框架(https://osf.io/c3u7a/)。