Evidence map›Paper›PMID 38266404›Full record

Trial reportBehaviour research and therapy2024

Online cognitive bias modification for interpretation to reduce anxious thinking during the COVID-19 pandemic.

Maria A Larrazabal, Jeremy W Eberle, Angel Vela de la Garza Evia, Mehdi Boukhechba, Daniel H Funk, Laura E Barnes, Steven M Boker, Bethany A Teachman

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Behaviour research and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Maria A LarrazabalDepartment of Psychology, University of Virginia, USA. Electronic address: ml4qf@virginia.edu.
Jeremy W EberleDepartment of Psychology, University of Virginia, USA.
Angel Vela de la Garza EviaDepartment of Engineering Systems and Environment, University of Virginia, USA.
Mehdi BoukhechbaDepartment of Engineering Systems and Environment, University of Virginia, USA.
Daniel H FunkSartography, Staunton, VA, USA.
Laura E BarnesDepartment of Engineering Systems and Environment, University of Virginia, USA; School of Data Science, University of Virginia, USA.
Steven M BokerDepartment of Psychology, University of Virginia, USA.
Bethany A TeachmanDepartment of Psychology, University of Virginia, USA.
University of Virginia · USEngineering Systems (United States) · USStaunton Creative Community Fund · US

Funding

Effectiveness of interpretation training to reduce anxiety: Evaluating technology-based delivery models and methods to reduce attritionR01MH113752 · NIMH · UNIVERSITY OF VIRGINIA · PI TEACHMAN, BETHANY A · 2017 to 2020
$2.5M
NIMH NIH HHS R01 MH113752
6 · The paper itself

Abstract

Anxiety disorders are highly prevalent, and rates increased during the COVID-19 pandemic. However, most individuals with elevated anxiety do not access treatment due to barriers such as stigma, cost, and availability. Digital mental health programs, such as cognitive bias modification for interpretation (CBM-I), hold promise in increasing access to care. Before widely disseminating CBM-I, we must rigorously test its effectiveness and determine whom it is best positioned to benefit. The present study (which is a substudy of a parent trial) compared CBM-I against psychoeducation offered through the public website MindTrails, and also tested whether baseline anxiety tied to COVID-19 influenced the rate of change in anxiety and interpretation bias during and after each intervention. Adults with moderate-to-severe anxiety symptoms were randomly assigned to complete five sessions of either CBM-I or psychoeducation as part of a larger trial, and 608 enrolled in this substudy after Session 1. As predicted (https://osf.io/2dyzr), CBM-I was superior to psychoeducation at reducing anxiety symptoms (on the OASIS but not the DASS-21-AS: d = -0.31), reducing negative interpretation bias (d range = -0.34 to -0.43), and increasing positive interpretation bias (d = 0.79) by the end of treatment. Results also indicated that individuals higher (vs. lower) in baseline COVID-19 anxiety had stronger decreases in anxiety symptoms while receiving CBM-I but weaker decreases in anxiety symptoms (on the DASS-21-AS) while receiving psychoeducation. These findings suggest that CBM-I may be a useful anxiety-reduction tool for individuals experiencing higher anxiety tied to uncertain events such as the COVID-19 pandemic.

Indexed as

Cognitive Behavioral TherapyCOVID-19AdultAnxietyCognitionHumansPandemicsTreatment OutcomeAnxietyCognitive bias modificationCOVID-19Interpretation biasPsychoeducation

Identifiers

PMID38266404
PMCPMC10961154
OpenAlexW4390201625

What OpenQuestion holds

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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.