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Engagement with a digital therapeutic for smoking cessation designed for persons with psychiatric illness fully mediates smoking outcomes in a pilot randomized controlled trial

机译:在一项随机对照试验中,参与专为精神疾病患者设计的戒烟数字疗法可充分介导吸烟结果

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Abstract Understanding the mechanisms of change of digital therapeutics is a critical step to improve digital health outcomes and optimize their development. Access to and engagement with digital content is arguably a core mechanism of change of these interventions. However, the mediational role of app engagement has been largely unexamined. This study evaluated the mediational effect of engaging with a digital therapeutic for smoking cessation designed for adults with psychiatric disorders. The study was a secondary analysis of a pilot clinical trial of 62 adults with serious mental illness who were randomized to receive either a tailored digital therapeutic (Learn to Quit) or a digital therapeutic for the general public (NCI QuitGuide). Engagement was captured using background analytics of app utilization, including (a) number of interactions with app content, (b) minutes/day of app use, and (c) number of days used. The main outcome was reductions in cigarettes per day from baseline to the four-month endpoint. Mediational analysis followed the Preacher and Hayes bootstrap method. Number of application interactions fully mediated reductions in cigarettes per day in the Learn to Quit application but not in QuitGuide (Average Causal Mediation Effect = .31, p = .02). Minutes/day of app use played an uncertain role, and number of days used was not a significant mediator. Results suggest that one of the mechanisms of action of the Learn to Quit device, engagement with theory-based content, functioned as intended. Future research of digital therapeutics should emphasize granular approaches to evaluating apps' mechanisms of action.
机译:摘要 了解数字疗法的变化机制是改善数字健康结果和优化其发展的关键步骤。数字内容的获取和参与可以说是这些干预措施变革的核心机制。然而,应用参与度的中介作用在很大程度上尚未得到检验。本研究评估了使用专为患有精神疾病的成年人设计的戒烟数字疗法的中介效应。该研究是对 62 名患有严重精神疾病的成年人的试点临床试验的二次分析,这些成年人被随机分配接受量身定制的数字疗法(学会戒烟)或面向公众的数字疗法(NCI QuitGuide)。使用应用利用率的后台分析来获取参与度,包括 (a) 与应用内容的互动次数、(b) 应用使用分钟/天,以及 (c) 使用天数。主要结局是从基线到四个月终点每天的香烟减少。中介分析遵循 Preacher 和 Hayes 引导方法。在“学会戒烟”应用程序中,应用程序交互的数量完全介导了每天香烟的减少,但在戒烟指南中没有(平均因果中介效应 = .31,p = .02)。应用使用分钟数/天起着不确定的作用,使用的天数并不是一个重要的中介因素。结果表明,“学会戒烟”设备的作用机制之一,即参与基于理论的内容,按预期运行。未来的数字疗法研究应强调评估应用程序作用机制的细粒度方法。

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