Predictors and moderators of outcome of ICBT for loneliness with guidance or automated messages - A secondary analysis of a randomized controlled trial

IF 3.6 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Noëmi Seewer , Andrej Skoko , Anton Käll , Gerhard Andersson , Thomas Berger , Tobias Krieger
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引用次数: 0

Abstract

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 (n = 98), automated messages (n = 97), or a waitlist-control condition (n = 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.

通过指导或自动信息进行孤独感综合治疗结果的预测因素和调节因素--随机对照试验的二次分析
基于互联网的认知行为疗法(ICBT)在缓解成年人的孤独感方面大有可为。要想以更有针对性的方式提供这种干预措施,并改进对那些没有从中受益的人的干预措施,关键是要确定哪些人可以从 ICBT 治疗孤独症中受益。本研究对一项随机对照试验(RCT)进行了二次分析,旨在确定通过指导或自动信息进行孤独感综合治疗(ICBT)的预测因素和调节因素。在这项随机对照试验中,243 名患有孤独症的参与者被随机分配到有指导的 ICBT(98 人)、自动信息(97 人)或候补对照组(48 人)。共有 180 名参与者完成了后评估(即随机分配后 10 周)。结果是在后评估时用 UCLA-9 孤独量表评估治疗效果,以及治疗反应,即 UCLA-9 从前到后的可靠改善。采用多重线性回归和逻辑回归分析了一系列患者特征(分为社会人口学变量、临床变量、孤独感特异变量和治疗相关变量)与疗效之间的关系。与等待名单对照组相比,孤独感负担较轻的患者在有指导的 ICBT 治疗中获得可靠改善的几率更高。与等待表对照组相比,使用自动信息的 ICBT 没有发现治疗结果或反应调节因子。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契合度预测了治疗结果。对于有指导的 ICBT 和自动信息的治疗反应,没有发现预测因素,也没有变量能预测有指导的 ICBT 或自动信息对治疗结果的不同影响。总之,孤独感负担较轻的人从有指导的综合心理疗法中获益更多。孤独感基线分数较低、年龄较小、干预的任务和目标与参与者的需求更加匹配,也预示着有指导的综合心理疗法和自动信息疗法的治疗效果更佳。
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来源期刊
CiteScore
6.50
自引率
9.30%
发文量
94
审稿时长
6 weeks
期刊介绍: Official Journal of the European Society for Research on Internet Interventions (ESRII) and the International Society for Research on Internet Interventions (ISRII). The aim of Internet Interventions is to publish scientific, peer-reviewed, high-impact research on Internet interventions and related areas. Internet Interventions welcomes papers on the following subjects: • Intervention studies targeting the promotion of mental health and featuring the Internet and/or technologies using the Internet as an underlying technology, e.g. computers, smartphone devices, tablets, sensors • Implementation and dissemination of Internet interventions • Integration of Internet interventions into existing systems of care • Descriptions of development and deployment infrastructures • Internet intervention methodology and theory papers • Internet-based epidemiology • Descriptions of new Internet-based technologies and experiments with clinical applications • Economics of internet interventions (cost-effectiveness) • Health care policy and Internet interventions • The role of culture in Internet intervention • Internet psychometrics • Ethical issues pertaining to Internet interventions and measurements • Human-computer interaction and usability research with clinical implications • Systematic reviews and meta-analysis on Internet interventions
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