Evidence map›Paper›PMID 28553574›Full record

ReviewCurrent sleep medicine reports2017

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

Annemarie I Luik, Simon D Kyle, Colin A Espie

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current sleep medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

74 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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14 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Annemarie I LuikSleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, OMPI G, South Parks Road, Oxford, OX1 3RE UK.
Simon D KyleSleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, OMPI G, South Parks Road, Oxford, OX1 3RE UK.
Colin A EspieSleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, OMPI G, South Parks Road, Oxford, OX1 3RE UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewOver 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

findingsWe 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.

Indexed as

Cognitive Behavioral TherapyDigital CBTInsomnia

Identifiers

PMID28553574
PMCPMC5427093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.