Digital Cognitive Behavioral Therapy (dCBT) for Insomnia: a State-of-the-Science Review

Annemarie I. Luik, Simon D. Kyle, Colin A. Espie

Research output: Contribution to journalReview articleAcademicpeer-review

66 Citations (Scopus)
3 Downloads (Pure)

Abstract

Purpose of Review: Over the past decade, digital solutions have been developed to support the dissemination of Cognitive Behavioral Therapy (CBT). In this paper, we review the evidence for and implications of digital CBT (dCBT) for insomnia. Recent Findings: 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. 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. Important gaps in the literature are identified around moderators and mediators of dCBT, cost-effectiveness, and the implementation of dCBT. Summary: The evidence base for dCBT is rapidly developing and already suggests that dCBT for insomnia is effective. However, further science and digital innovation is required to realize the full potential of dCBT and address important clinical questions.

Original languageEnglish
Pages (from-to)48-56
Number of pages9
JournalCurrent Sleep Medicine Reports
Volume3
Issue number2
Early online date8 May 2017
DOIs
Publication statusPublished - 1 Jun 2017

Bibliographical note

Funding Information:
Annemarie I Luik reports holding a position at Oxford University funded by Big Health Ltd and serving as their Research Lead.

Publisher Copyright:
© 2017, The Author(s).

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