Evidence map›Paper›PMID 32326980›Full record

ArticleTrials2020

Efficacy of digital cognitive behavioural therapy for symptoms of generalised anxiety disorder: a study protocol for a randomised controlled trial.

J Gu, C B Miller, A L Henry, C A Espie, M L Davis, R Stott, R Emsley, J A J Smits, M Craske, K E A Saunders and 2 more

Open access · goldAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
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

12 authors at 5 institutions in 2 countries.

J GuBig Health Inc., San Francisco, CA, USA, London, UK.
C B MillerBig Health Inc., San Francisco, CA, USA, London, UK. chris.miller@bighealth.com.ORCID http://orcid.org/0000-0002-2936-7717
A L HenryBig Health Inc., San Francisco, CA, USA, London, UK.
C A EspieBig Health Inc., San Francisco, CA, USA, London, UK.
M L DavisBig Health Inc., San Francisco, CA, USA, London, UK.
R StottBig Health Inc., San Francisco, CA, USA, London, UK.
R EmsleyKing's College London, Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology, & Neuroscience, London, UK.
J A J SmitsDepartment of Psychology, The University of Texas at Austin, Austin, TX, USA.
M CraskeAnxiety and Depression Research Centre (ADRC), University of California, Los Angeles, CA, USA.
K E A SaundersDepartment of Psychiatry, University of Oxford, Oxford, UK.
G GoodwinDepartment of Psychiatry, University of Oxford, Oxford, UK.
J R CarlBig Health Inc., San Francisco, CA, USA, London, UK.
University of Oxford · GBHinge Health · USKing's College London · GBThe University of Texas at Austin · USUniversity of California, Los Angeles · US

Funding

Big Health Inc. N/A
6 · The paper itself

Abstract

backgroundGeneralised anxiety disorder (GAD) is a chronic and disabling condition with considerable personal and economic impact. Cognitive behavioural therapy (CBT) is a recommended psychological therapy for GAD; however, there are substantial barriers to accessing treatment. Digital CBT, in particular smartphone-delivered CBT, has the potential to improve accessibility and increase dissemination of CBT. Despite the emerging evidence of smartphone-based psychological interventions for reducing anxiety, effect size scores are typically smaller than in-person interventions, and there is a lack of research assessing the efficacy of smartphone-delivered digital interventions specifically for GAD.

methodsIn the DeLTA trial (DigitaL Therapy for Anxiety), we plan to conduct a parallel-group superiority randomised controlled trial examining the efficacy of a novel smartphone-based digital CBT intervention for GAD compared to a waitlist control. We aim to recruit 242 adults (aged 18 years or above) with moderate-to-severe symptoms of GAD. This trial will be conducted entirely online and will involve assessments at baseline (week 0; immediately preceding randomisation), mid-intervention (week 3), post-intervention (week 6; primary end point) and follow-up (week 10). The primary objective is to evaluate the efficacy of the intervention on GAD symptom severity compared to a waitlist control at post-intervention. Secondary objectives are to examine between-group effects on GAD at follow-up, and to examine the following secondary outcomes at both post-intervention and follow-up: 1) worry; 2) depressive symptoms; 3) wellbeing; 4) quality of life; and 5) sleep difficulty. DISCUSSION: This trial will report findings on the initial efficacy of a novel digital CBT intervention for GAD. Results have the potential to contribute towards the evidence base for digital CBT for GAD and increase the dissemination of CBT.

trial registrationISRCTN, ISRCTN12765810. Registered on 11 January 2019.

Indexed as

Internet-Based InterventionMobile ApplicationsAdolescentAdultAgedAged, 80 and overAnxietyAnxiety DisordersCognitive Behavioral TherapyEquivalence Trials as TopicFemaleFollow-Up StudiesHumansMaleMiddle AgedQuality of LifeAnxietyCBTCognitive behavioural therapyDigitalGADGeneralised anxiety disorderRandomised controlled trialRCTSmartphone

Identifiers

PMID32326980
PMCPMC7181570
OpenAlexW3020441957

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.