Data and Analysis Underlying Study of Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone Delivered Cognitive Behavioral Therapy for Insomnia.

A mobile app could be a powerful medium for providing individual support for cognitive behavioral therapy (CBT), as well as facilitating therapy adherence. Little is known about factors that may explain the acceptance and uptake of such applications. This study, therefore, examines factors from an extended version of the Unified Theory of Acceptance and Use of Technology (UTAUT2) model to explain variation between people’s behavioral intention to use a CBT for insomnia (CBT-I) app and their use-behavior. The model includes eight aspects of behavioral intention: performance expectancy, effort expectancy, social influence, self-efficacy, trust, hedonic motivation, anxiety, and facilitating conditions, and investigates further the influence of the behavioral intention and facilitating conditions on app-usage behavior. Data were gathered from a field trial involving people (<i>n</i> = 89) with relatively mild insomnia using a CBT-I app. The analysis applied the Partial Least Squares-Structural Equation Modeling method. The results found that performance expectancy, effort expectancy, social influence, self-efficacy, trust, and facilitating conditions all explained part of the variation in behavioral intention, but not beyond the explanation provided by hedonic motivation, which accounted for <i>R</i>²= .61. Both behavioral intention and facilitating conditions could explain the use-behavior (<i>R</i>²= .32). We anticipate that the findings will help researchers and developers to focus on: (1) users’ positive feelings about the app as this was an indicator of their acceptance of the mobile app and usage; and (2) the availability of resources and support as this also correlated with the technology use.<br>

移动应用可为个体提供认知行为疗法（Cognitive Behavioral Therapy, CBT）支持，同时提升治疗依从性，是极具潜力的干预载体。目前学界对这类应用的接受度与普及度的影响因素仍知之甚少。本研究基于扩展版技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology, UTAUT2），探究影响失眠认知行为疗法（CBT for insomnia, CBT-I）移动应用使用行为意向与实际使用行为差异的因素。该模型涵盖影响使用意向的八个维度：绩效期望、努力期望、社会影响、自我效能感、信任、享乐动机、焦虑与促进条件，并进一步探究使用意向与促进条件对应用实际使用行为的影响。本研究通过实地试验收集数据，共纳入89名轻度失眠患者，受试者均使用过CBT-I移动应用。分析过程采用偏最小二乘结构方程模型（Partial Least Squares-Structural Equation Modeling, PLS-SEM）方法。研究结果显示，绩效期望、努力期望、社会影响、自我效能感、信任与促进条件均可部分解释使用意向的变异，但上述因素的解释力均不及享乐动机——享乐动机对使用意向的决定系数R²为0.61。使用意向与促进条件均可解释实际使用行为的变异，其决定系数R²为0.32。本研究预期，上述发现可为研究者与开发者提供两点参考方向：其一，关注用户对应用的正向感知，此类感知可有效反映用户对移动应用的接受度与使用意愿；其二，重视资源与支持的可及性，该因素同样与技术使用行为显著相关。