Senyard Emma-Leigh, Rowe Arlen, Krishnamoorthy Govind, Spence Susan H, Donovan Caroline, March Sonja
School of Psychology and Wellbeing, University of Southern Queensland, Ipswich, Australia.
Centre for Health Research, University of Southern Queensland, 37 Sinnathamby Boulevard, Springfield Central, 4300, Australia, 61 73812 6155.
JMIR Pediatr Parent. 2025 Jun 2;8:e60523. doi: 10.2196/60523.
Digital mental health (dMH) interventions offer the ability to reach many more adolescents with anxiety than face-to-face therapy. While efficacious dMH interventions are available for adolescents, premature dropout and low engagement are common, especially if delivered on a self-help basis without any form of therapist guidance. This is concerning, given that higher engagement, in terms of the number of sessions completed, has been repeatedly associated with improved clinical outcomes. The reasons for poor adolescent engagement in dMH programs are unclear. A clear understanding of when and why disengagement occurs is important in order to seek to improve engagement rates. Contemporary models consider engagement as multifaceted, comprising both "use" (eg, amount of content completed, frequency of use, duration spent logged into the dMH program, and depth of use, such as word or character count) and "user experience" (eg, interest and satisfaction in the program and affect and attention whilst engaging in the program).
This study investigated the role of demographic and early engagement (EE) factors, specifically program use, in predicting overall program engagement and continued engagement, respectively, in a self-directed, internet-based cognitive behavioral therapy program for adolescent anxiety, namely, BRAVE Self-Help. It examined multiple measures of program use, including task completion, homework completion, and depth of response (character count of responses typed into program tasks). It also examined the moderating role of baseline anxiety severity.
Data collected between July 2014 and May 2020 from 2850 adolescents aged 12 to 18 years who participated in BRAVE Self-Help were analyzed via a series of moderated regressions.
Results showed that EE (in terms of program use) was associated with continued engagement, demonstrated by early tasks (tasks completed in the first two sessions; R2=0.035; P<.001) and early depth (characters written in the first two sessions; R2=0.08; P<.001) predicting continued depth of program response (total character count of responses typed into all program tasks from sessions 3 to 10). Demographic factors and anxiety severity did not directly impact adolescents' engagement in BRAVE Self-Help.
These findings highlight the need to investigate ways to (1) enhance EE and (2) better understand how to measure and capture all aspects of program engagement.
与面对面治疗相比,数字心理健康(dMH)干预措施能够惠及更多患有焦虑症的青少年。虽然有针对青少年的有效dMH干预措施,但过早退出和参与度低的情况很常见,尤其是在自助模式下且没有任何形式的治疗师指导时。考虑到就完成的疗程数量而言,更高的参与度一再与更好的临床结果相关,这令人担忧。青少年参与dMH项目不佳的原因尚不清楚。清楚了解脱离参与发生的时间和原因对于提高参与率很重要。当代模型认为参与是多方面的,包括“使用”(例如,完成的内容量、使用频率、登录dMH项目所花费的时长以及使用深度,如单词或字符数)和“用户体验”(例如,对项目的兴趣和满意度以及参与项目时的情感和注意力)。
本研究调查了人口统计学和早期参与(EE)因素,特别是项目使用情况,分别在预测一个针对青少年焦虑的自主式基于互联网的认知行为治疗项目(即BRAVE自助项目)中的总体项目参与度和持续参与度方面所起的作用。研究考察了项目使用的多项指标,包括任务完成情况、作业完成情况以及反应深度(输入到项目任务中的反应的字符数)。研究还考察了基线焦虑严重程度的调节作用。
对2014年7月至2020年5月期间从2850名12至18岁参与BRAVE自助项目的青少年收集的数据进行了一系列调节回归分析。
结果显示,EE(就项目使用而言)与持续参与相关,早期任务(在前两节课中完成的任务;R2 = 0.035;P <.001)和早期深度(在前两节课中书写的字符数;R2 = 0.08;P <.001)可预测项目反应的持续深度(从第3节到第10节输入到所有项目任务中的反应的总字符数)。人口统计学因素和焦虑严重程度并未直接影响青少年对BRAVE自助项目的参与度。
这些发现凸显了有必要研究以下方法:(1)提高EE;(2)更好地理解如何衡量和捕捉项目参与的各个方面。