Evidence map›Paper›PMID 33809308›Full record

ReviewInternational journal of environmental research and public health2021

A Review of Digital Cognitive Behavioral Therapy for Insomnia (CBT-I Apps): Are They Designed for Engagement?

Begum Erten Uyumaz, Loe Feijs, Jun Hu

Registry-linked trialAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06926348 (Usability, Acceptability, and Preliminary Effectiveness of a Digital Health Technology for Patient Monitoring of Chronic Insomnia Symptoms and the Promotion of Functional Sleep Behaviors), which is not on this map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 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.

NCT06926348 narecruitingnot on this mapstarted 2025, after this paper: background citation

Usability, Acceptability, and Preliminary Effectiveness of a Digital Health Technology for Patient Monitoring of Chronic Insomnia Symptoms and the Promotion of Functional Sleep Behaviors: A Randomized Clinical Trial

TypeinterventionalSponsorUniversita di VeronaRan2025 to 2026Enrolled50ConditionsInsomnia Chronic, InsomniaArmsDigital Health Technology for Chronic Insomnia, Treatment as Usual (TAU)
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. Global trend of nondrug and nonsedativehypnotic treatment forinsomnia: a bibliometric study.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024
    Review
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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.

Begum Erten UyumazFaculty of Industrial Design, Eindhoven University of Technology, 5612AE Eindhoven, The Netherlands.
Loe FeijsFaculty of Industrial Design, Eindhoven University of Technology, 5612AE Eindhoven, The Netherlands.
Jun HuFaculty of Industrial Design, Eindhoven University of Technology, 5612AE Eindhoven, The Netherlands.ORCID 0000-0003-2714-6264

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are different ways to deliver Cognitive Behavioral Therapy for Insomnia (CBT-I), of which in-person (face to face) is the traditional delivery method. However, the scalability of in-person therapy is low. Digital Cognitive Behavioral Therapy for Insomnia (dCBT-I) is an alternative and there are tools on the market that are validated in clinical studies. In this paper, we provide a review of the existing evidence-based CBT-I apps and a summary of the published usability-oriented studies of these apps. The goal is to explore the range of interaction methods commonly applied in dCBT-I platforms, the potential impact for the users, and the design elements applied to achieve engagement. Six commercially available CBT-I apps tested by scientifically valid methods were accessed and reviewed. Commonalities were identified and categorized into interactive elements, CBT-I-related components, managerial features, and supportive motivational features. The dCBT-I apps were effectively assisting the users, and the type of interactions promoted engagement. The apps' features were based on design principles from interactive product design, experience design, online social media, and serious gaming. This study contributes to the field by providing a critical summary of the existing dCBT-I apps that could guide future developers in the field to achieve a high engagement.

Indexed as

Cognitive Behavioral TherapySleep Initiation and Maintenance DisordersDiagnostic Tests, RoutineHumansSoftwareTreatment Outcomecognitive behavioral therapydesign elementsengagementinsomniaonline

Identifiers

PMID33809308
PMCPMC7999422

What OpenQuestion holds

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Registered trials

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.