![]() ![]() However, they are by no stretch sufficient if our ambition is to make CBT as ubiquitous as pharmacotherapy. These methods reflect attempts at “scaling” CBT to meet the population need. It also has been demonstrated that CBT can be provided successfully as a group therapy, in large workshops, as a self-help bibliotherapy, or by telephone. What Is “Digital CBT” for Insomnia?ĬBT has traditionally been a face-to-face talking therapy, delivered in a direct one-to-one relationship between patient and therapist. Similar to the dissemination of conventional CBT, the dissemination of dCBT remains limited. However, CBT for insomnia, in whichever form, still faces a lot of challenges such as costs and scalability. Undoubtedly, therefore, the evidence base has substantially increased. Correspondingly, perhaps the 5-year period ending in December 2016 saw a substantial increase in published papers, with approximately one paper featuring digital CBT (dCBT) for insomnia published per month, whereas less than a handful of articles were published prior to 2012. These are of particular interest to the insomnia field because CBT has emerged as the recommended first-line therapy for insomnia. Over the past decade, digital solutions, for example via web and mobile devices, have been developed to support the dissemination of Cognitive Behavioral Therapy (CBT). The ubiquitous nature of web and smartphone technology has changed our lives in every way imaginable, including offering new approaches to the evaluation and treatment of many disorders. ![]() However, further science and digital innovation is required to realize the full potential of dCBT and address important clinical questions. The evidence base for dCBT is rapidly developing and already suggests that dCBT for insomnia is effective. Important gaps in the literature are identified around moderators and mediators of dCBT, cost-effectiveness, and the implementation of dCBT. Consistent evidence has been published on the effectiveness of dCBT to address insomnia disorder, in a variety of populations, with effects extending into well-being. We propose three categories of dCBT, which differ in the amount of clinician time needed, level of automatization, costs, and scalability: dCBT as support, guided dCBT, and fully automated dCBT. In this paper, we review the evidence for and implications of digital CBT (dCBT) for insomnia. Over the past decade, digital solutions have been developed to support the dissemination of Cognitive Behavioral Therapy (CBT). ![]()
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