Evidence map›Paper›PMID 42890096›Full record

ArticleInternet interventions2026

Smartphone-delivered cognitive behavioral therapy for insomnia: A preliminary randomized controlled trial.

Sofie Møgelberg Knutzen, Dinne Skjærlund Christensen, Henrike Neumann, Malene F Damholdt, Ali Amidi, Robert Zachariae

Abstract read
In one paragraph

Article in Internet interventions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sofie Møgelberg KnutzenDepartment of Psychology and Behavioural Science, Aarhus University.
Dinne Skjærlund ChristensenDepartment of Psychology and Behavioural Science, Aarhus University.
Henrike NeumannUnit for Psychooncology & Health Psychology, Department of Oncology, Aarhus University Hospital, Aarhus, Denmark.
Malene F DamholdtDepartment of Psychology and Behavioural Science, Aarhus University.
Ali AmidiDepartment of Psychology and Behavioural Science, Aarhus University.
Robert ZachariaeDepartment of Psychology and Behavioural Science, Aarhus University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Study objectives: Cognitive behavioral therapy for insomnia (CBT-I) is the first-line treatment for insomnia, but many individuals lack access. This study evaluated the preliminary efficacy of Hvil®, a 9-week, fully automated, smartphone delivered eCBT-I program, in reducing insomnia severity. Methods: Adults with insomnia (Insomnia Severity Index ≥10) were randomly assigned to an eCBT-I intervention via Hvil® or to a waitlist control group. The primary outcome of insomnia severity was assessed at baseline, weekly during the intervention, and post-intervention. Secondary outcomes included fatigue at baseline and post-intervention and sleep diary-based outcomes assessed daily during the study period. Mixed linear models (MLMs) based on the intent-to-treat sample were used to assess group differences over time. Moderating effects of demographic characteristics and adherence were explored. Results: A total of 165 participants were randomized to the intervention ( Conclusions: Hvil®, an automated eCBT-I intervention, demonstrated significant efficacy in reducing insomnia severity among adults in the general population. While attrition was substantial, the results suggest its potential as a scalable, accessible intervention.

Indexed as

Cognitive behavioral therapyDigitaleHealthFully automatedInsomniamHealth

Identifiers

PMID42890096
PMCPMC13670942

What OpenQuestion holds

Textmetadata
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.