Palermo Emma H, Young Amanda V, Deswert Sky, Brown Alyssa, Goldberg Miranda, Sultanik Evan, Tan Jessica, Mazefsky Carla A, Brookman-Frazee Lauren, McPartland James C, Goodwin Matthew S, Pennington Jeffrey, Marcus Steven C, Beidas Rinad S, Mandell David S, Nuske Heather J
Penn Center for Mental Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Alevio LLC, Philadelphia, PA, United States.
JMIR Res Protoc. 2023 Jun 26;12:e45852. doi: 10.2196/45852.
As much as 80% of children on the autism spectrum exhibit challenging behaviors (ie, behaviors dangerous to the self or others, behaviors that interfere with learning and development, and behaviors that interfere with socialization) that can have a devastating impact on personal and family well-being, contribute to teacher burnout, and even require hospitalization. Evidence-based practices to reduce these behaviors emphasize identifying triggers (events or antecedents that lead to challenging behaviors); however, parents and teachers often report that challenging behaviors surface with little warning. Exciting recent advances in biometric sensing and mobile computing technology allow the measurement of momentary emotion dysregulation using physiological indexes.
We present the framework and protocol for a pilot trial that will test a mobile digital mental health app, the KeepCalm app. School-based approaches to managing challenging behaviors in children on the autism spectrum are limited by 3 key factors: children on the autism spectrum often have difficulties in communicating their emotions; it is challenging to implement evidence-based, personalized strategies for individual children in group settings; and it is difficult for teachers to track which strategies are successful for each child. KeepCalm aims to address those barriers by communicating children's stress to their teachers using physiological signaling (emotion dysregulation detection), supporting the implementation of emotion regulation strategies via smartphone pop-up notifications of top strategies for each child according to their behavior (emotion regulation strategy implementation), and easing the task of tracking outcomes by providing the child's educational team with a tool to track the most effective emotion regulation strategies for that child based on physiological stress reduction data (emotion regulation strategy evaluation).
We will test KeepCalm with 20 educational teams of students on the autism spectrum with challenging behaviors (no exclusion based on IQ or speaking ability) in a pilot randomized waitlist-controlled field trial over a 3-month period. We will examine the usability, acceptability, feasibility, and appropriateness of KeepCalm as primary outcomes. Secondary preliminary efficacy outcomes include clinical decision support success, false positives or false negatives of stress alerts, and the reduction of challenging behaviors and emotion dysregulation. We will also examine technical outcomes, including the number of artifacts and the proportion of time children are engaged in high physical movement based on accelerometry data; test the feasibility of our recruitment strategies; and test the response rate and sensitivity to change of our measures, in preparation for a future fully powered large-scale randomized controlled trial.
The pilot trial will begin by September 2023.
Results will provide key data about important aspects of implementing KeepCalm in preschools and elementary schools and will provide preliminary data about its efficacy to reduce challenging behaviors and support emotion regulation in children on the autism spectrum.
ClinicalTrials.gov NCT05277194; https://www.clinicaltrials.gov/ct2/show/NCT05277194.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/45852.
多达80%的自闭症谱系儿童表现出具有挑战性的行为(即对自身或他人有危险的行为、干扰学习和发展的行为以及干扰社交的行为),这些行为会对个人和家庭幸福产生毁灭性影响,导致教师职业倦怠,甚至需要住院治疗。减少这些行为的循证实践强调识别触发因素(导致具有挑战性的行为的事件或前因);然而,家长和教师经常报告说,具有挑战性的行为几乎没有预警就会出现。生物传感和移动计算技术最近取得的令人兴奋的进展使得能够使用生理指标来测量瞬间情绪失调。
我们介绍一项试点试验的框架和方案,该试验将测试一款移动数字心理健康应用程序KeepCalm应用程序。基于学校的管理自闭症谱系儿童具有挑战性的行为的方法受到三个关键因素的限制:自闭症谱系儿童在表达自己的情绪方面往往有困难;在集体环境中为个别儿童实施循证的、个性化的策略具有挑战性;教师很难跟踪哪些策略对每个孩子是成功的。KeepCalm旨在通过使用生理信号(情绪失调检测)向教师传达孩子的压力、通过智能手机根据每个孩子的行为弹出顶级策略通知来支持情绪调节策略的实施(情绪调节策略实施)以及通过为孩子的教育团队提供一个工具来跟踪基于生理压力减轻数据的该孩子最有效的情绪调节策略(情绪调节策略评估)来解决这些障碍。
我们将在一项为期3个月的试点随机等待列表对照现场试验中,对20个教育团队中具有挑战性的行为的自闭症谱系学生(不基于智商或语言能力进行排除)测试KeepCalm。我们将检查KeepCalm的可用性、可接受性、可行性和适用性作为主要结果。次要的初步疗效结果包括临床决策支持的成功、压力警报的假阳性或假阴性以及具有挑战性的行为和情绪失调的减少。我们还将检查技术结果,包括伪影数量以及根据加速度计数据孩子进行高体力活动的时间比例;测试我们招募策略的可行性;并测试我们测量方法的响应率和对变化的敏感性,为未来全面开展的大规模随机对照试验做准备。
试点试验将于2023年9月开始。
结果将提供关于在幼儿园和小学实施KeepCalm的重要方面的关键数据,并将提供关于其减少自闭症谱系儿童具有挑战性的行为和支持情绪调节的疗效的初步数据。
ClinicalTrials.gov NCT05277194;https://www.clinicaltrials.gov/ct2/show/NCT05277194。
国际注册报告识别码(IRRID):PRR1-10.2196/45852。