Seewer Noëmi, Skoko Andrej, Käll Anton, Andersson Gerhard, Berger Thomas, Krieger Tobias
Department of Clinical Psychology and Psychotherapy, University of Bern, Bern, Switzerland.
Department of Behavioral Sciences and Learning, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Internet Interv. 2023 Dec 18;35:100701. doi: 10.1016/j.invent.2023.100701. eCollection 2024 Mar.
Internet-based cognitive behavioral therapy (ICBT) is promising in alleviating loneliness in adults. Identifying individuals who benefit from ICBT for loneliness is pivotal to offering this intervention in a more targeted way and improving the intervention for those who do not benefit. This secondary analysis of a randomized controlled trial (RCT) aimed to identify predictors and moderators of outcome of an ICBT with guidance or automated messages for loneliness. In the RCT, 243 participants suffering from loneliness were randomly assigned to an ICBT with guidance ( = 98), automated messages ( = 97), or a waitlist-control condition ( = 48). In total, 180 participants completed the post-assessment (i.e., 10 weeks post-randomization). Outcomes were treatment outcome assessed with the UCLA-9 Loneliness Scale at post-assessment and treatment response, i.e., reliable improvement on the UCLA-9 from pre- to post. The relationship between a wide range of patient characteristics (grouped into socio-demographic, clinical, loneliness-specific, and treatment-related variables) and outcome was analyzed using multiple linear and logistic regressions. Feeling less burdened by loneliness resulted in higher odds of reliable improvement in guided ICBT compared to the waitlist-control condition. No treatment outcome or response moderators were identified for ICBT with automated messages compared to the waitlist-control group. Across active intervention groups, loneliness at baseline, age and fit between the tasks and goals of the intervention and participants' need predicted treatment outcome. Predictors of treatment response for ICBT with guidance and automated messages were not identified, and no variables differentially predicted the effects of ICBT with guidance or automated messages on the outcomes. In conclusion, individuals less burdened by their feelings of loneliness benefited more from guided ICBT. Lower baseline loneliness scores, younger age, and a better match between tasks and goals of the intervention and participants' needs also predicted a more favorable treatment outcome for both ICBT with guidance and automated messages.
基于互联网的认知行为疗法(ICBT)在缓解成年人孤独感方面颇具前景。识别出能从ICBT治疗孤独感中获益的个体,对于更有针对性地提供这种干预措施以及改善对未获益者的干预效果至关重要。这项对随机对照试验(RCT)的二次分析旨在确定针对孤独感采用有指导或自动消息的ICBT治疗结果的预测因素和调节因素。在该RCT中,243名患有孤独感的参与者被随机分配到有指导的ICBT组(n = 98)、自动消息组(n = 97)或等待名单对照组(n = 48)。总共有180名参与者完成了后测(即随机分组后10周)。结果指标包括后测时用加州大学洛杉矶分校孤独量表(UCLA - 9)评估的治疗结果以及治疗反应,即从UCLA - 9前测到后测的可靠改善情况。使用多元线性回归和逻辑回归分析了广泛的患者特征(分为社会人口统计学、临床、孤独感特异性和治疗相关变量)与结果之间的关系。与等待名单对照组相比,感觉孤独负担减轻导致在有指导的ICBT中可靠改善的几率更高。与等待名单对照组相比,未识别出自动消息ICBT的治疗结果或反应调节因素。在所有积极干预组中,基线时的孤独感、年龄以及干预任务和目标与参与者需求之间的匹配度可预测治疗结果。未识别出有指导和自动消息ICBT治疗反应的预测因素,也没有变量能差异预测有指导或自动消息ICBT对结果的影响。总之,孤独感负担较轻的个体从有指导的ICBT中获益更多。较低的基线孤独感得分、较年轻的年龄以及干预任务和目标与参与者需求之间更好的匹配度,也预示着有指导和自动消息的ICBT都有更有利的治疗结果。