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Digital Cognitive Behavioral Therapy (dCBT) for insomnia: a State-of-the-Science review

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, costeffectiveness, 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.

Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s40675-017-0065-4

Authors

More by this author
Institution:
University of Oxford
Oxford college:
Christ Church
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author


Publisher:
Springer
Journal:
Current Sleep Medicine Reports More from this journal
Volume:
3
Issue:
2
Pages:
48-56
Publication date:
2017-05-01
DOI:
ISSN:
2198-6401


Keywords:
Pubs id:
pubs:697089
UUID:
uuid:e8a28846-cd0b-45d1-834e-fb6f1e61ae14
Local pid:
pubs:697089
Source identifiers:
697089
Deposit date:
2017-05-25
ARK identifier:

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