An examination of neurocognition and theory of mind as predictors of engagement with a tailored digital therapeutic in persons with serious mental illness.
An examination of neurocognition and theory of mind as predictors of engagement with a tailored digital therapeutic in persons with serious mental illness.
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DOI：
10.1016/j.scog.2022.100236
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发表时间：
2022-06
期刊：
影响因子：
--
通讯作者：
Vilardaga R
中科院分区：
文献类型：
--
作者：
Halverson TF;Browne J;Thomas SM;Palenski P;Vilardaga R
人们对严重精神疾病（SMI）患者的数字治疗（app）的开发和实施越来越感兴趣。然而，人们对神经认知和社会认知在应用程序参与中的作用的理解有限。本研究是对一项试点随机对照试验（N = 62）的二次分析，该试验比较了针对重度精神分裂症患者治疗烟草使用障碍的定制数字干预与针对普通人群的标准护理数字干预。本研究的目的是检查神经认知的影响,社会认知,和临床特征指数的应用程序在用户定制的应用程序相比,用户的标准护理应用。相关分析表明,低水平的患者经常神经认知和社会认知和长时间的定制应用程序相比,标准的护理应用。在一系列多层次zero-inflated负二项模型,在调整了关键的人口统计学和临床特征以及两项认知指标后，分配到定制应用程序仍然是应用程序交互（风险比[RR] = 1.72; p < 0.01）、应用程序使用时间（RR = 6.47; p < 0.01）和平均交互时间（RR = 2.70; p < 0.01）的最可靠预测因子。这是第一个证明数字疗法可以被设计来减轻神经认知和社会认知对重度精神障碍人群使用设备的影响的研究之一。提出了一些建议，以促进使用新的分析模型来揭示与数字治疗的接触模式。
There is an increasing interest in the development and implementation of digital therapeutics (apps) in individuals with serious mental illness (SMI). However, there is limited understanding of the role of neurocognition and social cognition on engagement with apps. The present study is a secondary analysis of a pilot randomized controlled trial (N = 62) comparing a tailored digital intervention to treat tobacco use disorder in individuals with SMI to a standard of care digital intervention for the general population. The purpose of this study was to examine the impact of neurocognition, social cognition, and clinical characteristics on indices of app engagement in users of the tailored app compared to users of the standard of care app. Correlational analyses demonstrated that individuals with low levels of neurocognition and social cognition engaged more often and for longer duration with the tailored app compared to the standard of care app. In a series of multilevel zero-inflated negative binomial models, assignment to the tailored app remained the most robust predictor of app interactions (Risk Ratio [RR] = 1.72; p < .01), duration of app use (RR = 6.47; p < .01), and average length of interaction (RR = 2.70; p < .01), after adjusting for key demographic and clinical characteristics, and two measures of cognition. This is one of the first studies to demonstrate that digital therapeutics can be designed to mitigate the impact of neurocognition and social cognition on device engagement in SMI populations. Recommendations are made to advance the use of new analytic models to uncover patterns of engagement with digital therapeutics.
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