Evidence map›Paper›PMID 40233365›Full record

ArticleJMIR research protocols2025

iCogCA to Promote Cognitive Health Through Digital Group Interventions for Individuals Living With a Schizophrenia Spectrum Disorder: Protocol for a Nonrandomized Concurrent Controlled Trial.

Christy Au-Yeung, Helen Thai, Michael Best, Christopher R Bowie, Synthia Guimond, Katie M Lavigne, Mahesh Menon, Steffen Moritz, Myra Piat, Geneviève Sauvé and 5 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05661448 (Promoting Cognitive Health in Schizophrenia), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT05661448 nacompletednot on this map

Promoting Cognitive Health in Schizophrenia: A National Collaborative Effort to Implement Online Psychological Interventions

TypeinterventionalSponsorDouglas Mental Health University InstituteRan2023 to 2026Enrolled192ConditionsSchizophrenia, CognitionArmsCognitive remediation, MetaCognitive Training
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Beyond RCTs-Better Research Designs and Methods for Psychosocial Efficacy Studies in Mental Health.Canadian journal of psychiatry. Revue canadienne de psychiatrie · 2026
    Review
  2. 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

15 authors.

Christy Au-Yeung *Department of Psychology, McGill University, Montreal, QC, Canada.ORCID 0000-0002-0839-410X
Helen Thai *Department of Psychology, McGill University, Montreal, QC, Canada.ORCID 0000-0002-9873-6790
Michael BestDepartment of Psychological Clinical Science, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-4632-5893
Christopher R BowieDepartment of Psychology, Queen's University, Kingston, ON, Canada.ORCID 0000-0002-1983-8861
Synthia GuimondDepartment of Psychiatry, The Royal Institute of Mental Health Research, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-1582-725X
Katie M LavigneDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0002-3918-691X
Mahesh MenonDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-4007-0922
Steffen MoritzDepartment of Psychiatry and Psychotherapy, University Medical Centre Hamburg, Hamburg, Germany.ORCID 0000-0001-8601-0143
Myra PiatDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0002-5933-0974
Geneviève SauvéDouglas Mental Health University Institute, Verdun, QC, Canada.ORCID 0000-0001-8140-2578
Ana Elisa SousaDouglas Mental Health University Institute, Montreal, QC, Canada.ORCID 0000-0002-8189-950X
Elisabeth ThibaudeauDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0001-5603-0856
Todd S WoodwardDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0001-8083-0079
Martin LepageDepartment of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0003-4345-6502
Delphine Raucher-Chéné *Department of Psychiatry, McGill University, Montreal, QC, Canada.ORCID 0000-0002-5663-4454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive impairments are a key aspect of schizophrenia spectrum disorders (SSDs), significantly affecting clinical and functional outcomes. The COVID-19 pandemic has heightened concerns about mental health services and cognitive stimulation opportunities. Despite evidence-based interventions like action-based cognitive remediation (ABCR) and metacognitive training (MCT), a research-to-practice gap exists in their application across mental health settings.

objectiveThe iCogCA study aims to address this gap by implementing digital ABCR and MCT through a national Canadian collaborative effort using digital psychological interventions to enhance cognitive health in SSDs.

methodsThe study involves 5 Canadian sites, with mental health care practitioners trained digitally through the E-Cog platform, which was developed by our research group. Over 2.5 years, participants with SSDs will undergo pre- and postintervention assessments for clinical symptoms, cognition, and functioning. Each site will run groups annually for both ABCR and MCT, totaling ~390 participants. A nonrandomized concurrent controlled design will assess effectiveness design, in which one intervention (eg, ABCR) acts as the active control for the other (eg, MCT) and vice versa, comparing cognitive and clinical outcomes between the interventions using generalized linear mixed effect modeling. Implementation strategy evaluation will consider the digital platform's efficacy for mental health care practitioners' training, contextual factors influencing implementation, and sustainability, using descriptive statistics for quantitative data and thematic analysis for qualitative data.

resultsA pilot pragmatic trial has been conducted previously at the Montreal site, evaluating 3 early implementation outcomes: acceptability, feasibility, and engagement. Patient and therapist acceptability was deemed as high and feasible (21/28, 75% of recruited service users completed therapy, rated feasible by therapists). Technology did not appear to significantly impede program participation. Therapist-rated levels of engagement were also satisfactory. In the ongoing study, recruitment is underway (114 participants recruited as of winter 2024), and intervention groups have been conducted at all sites, with therapists receiving training via the E-Cog learning platform (32 enrolled as of winter 2024).

conclusionsAt least 3 significant innovations will stem from this project. First, this national effort represents a catalyst for the use of digital technologies to increase the adoption of evidence-based interventions and will provide important results on the effectiveness of digitally delivered ABCR and MCT. Second, the results of the implementation component of this study will generate the expertise needed to inform the implementation of similar initiatives. Third, the proposed study will introduce and validate our platform to train and supervise mental health care practitioners to deliver these interventions, which will then be made accessible to the broader mental health community.

trial registrationClinicalTrials.gov NCT05661448; https://clinicaltrials.gov/study/NCT05661448. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63269.

Indexed as

Cognitive DysfunctionCognitive RemediationPsychotherapy, GroupSchizophreniaCanadaControlled Clinical Trials as TopicCOVID-19HumansMulticenter Studies as TopicSARS-CoV-2Telemedicinecognitive healthcognitive remediationdigital group interventionsdigital technologymetacognitive trainingschizophreniaschizophrenia spectrum disorders

Identifiers

PMID40233365
PMCPMC12041826

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.