Hammerfald Karin, Jahren Henrik Haaland, Solbakken Ole André
Department of Psychology, University of Oslo, Oslo, Norway.
Braive AS, Oslo, Norway.
Front Psychol. 2025 Jun 9;16:1494729. doi: 10.3389/fpsyg.2025.1494729. eCollection 2025.
The present evaluation aimed to explore patterns in routinely collected clinical data to better understand how user engagement may be associated with symptom change during guided iCBT treatment for depression and anxiety in a routine care setting. As part of ongoing quality assurance efforts, we examined whether specific engagement indicators were related to treatment outcomes. These analyses were motivated by previous findings in the literature suggesting that higher engagement may be linked to greater symptom improvement.
Anonymous data of 514 patients who signed up for an internet-delivered, guided treatment program for depression or anxiety, were obtained for estimating patterns of change and the impact of predictors of change using Multilevel Modeling. Initial assessment after sign-up included various questionnaires and demographic information. Log data from user interactions with the guided iCBT programs was used to assess patient and clinician engagement. Clinical outcomes included symptoms of depression (Patient Health Questionnaire, PHQ-9) and anxiety (Generalized Anxiety Disorder-7, GAD-7).
Patients started a mean of 7.14 modules, completed 64.7% of assigned modules and 62.8% of assigned activities. Patients with clinical depression or anxiety levels experienced significant changes between initial assessment and first outcome assessment as well as significant symptom reduction during treatment. Initial symptom levels and engagement persistence predicted treatment outcomes.
The present study replicates previous findings suggesting that safeguarding exposure to and engagement with content is significantly associated with outcome.
本评估旨在探索常规收集的临床数据中的模式,以更好地理解在常规护理环境中,针对抑郁和焦虑的指导性互联网认知行为疗法(iCBT)治疗期间,用户参与度与症状变化之间可能存在的关联。作为正在进行的质量保证工作的一部分,我们研究了特定的参与指标是否与治疗结果相关。这些分析的动机来自于文献中先前的研究结果,表明更高的参与度可能与更大的症状改善相关。
获取了514名报名参加针对抑郁或焦虑的互联网交付指导性治疗项目的患者的匿名数据,使用多水平模型来估计变化模式和变化预测因素的影响。报名后的初始评估包括各种问卷和人口统计学信息。来自用户与指导性iCBT项目互动的日志数据用于评估患者和临床医生的参与度。临床结果包括抑郁症状(患者健康问卷,PHQ-9)和焦虑症状(广泛性焦虑障碍量表,GAD-7)。
患者平均开始了7.14个模块,完成了分配模块的64.7%和分配活动的62.8%。患有临床抑郁或焦虑的患者在初始评估和首次结果评估之间经历了显著变化,并且在治疗期间症状显著减轻。初始症状水平和参与持续性预测了治疗结果。
本研究重复了先前的研究结果,表明确保对内容的接触和参与与治疗结果显著相关。