@article{pmid40768120,

title = {Assessing Functional Limitations in Workers with a Common Mental Disorder or a Musculoskeletal Disorder: A Scoping Review of Questionnaires},

author = {Anaïs Lépine Lopez and Geneviève Sauvé and Marc Corbière},

doi = {10.1007/s10926-025-10310-6},

issn = {1573-3688},

year  = {2026},

date = {2026-09-01},

journal = {J Occup Rehabil},

volume = {36},

number = {3},

pages = {767--782},

abstract = {PURPOSE: Approximately, 80% of sick leave involve workers dealing with a common mental disorder (CMD) or a musculoskeletal disorder (MSD). Upon returning to work (RTW), these workers may encounter challenges, including functional limitations at work. However, assessing these limitations is complex. This study aims to map existing questionnaires that evaluate functional limitations in individuals with CMD or MSD.nnMETHODS: A scoping review was conducted following the methods of the Joanna Briggs Institute's (JBI) Scoping Reviews Methodology Group, utilizing five databases: ProQuest, EBSCO, Scopus, Cochrane, and PsycNET. Articles were included if they presented a questionnaire evaluating functional limitations or related concepts in individuals with CMD or MSD.nnRESULTS: A total of 541 articles were identified, with 6 articles selected after the screening process. The most frequently assessed dimensions in the selected questionnaires were physical (in 5 tools) and cognitive (in 3 tools). A thematic analysis was performed to develop a unified classification of dimensions and identify various types of functional limitations, addressing the inconsistent terminology across the questionnaires.nnCONCLUSION: Physical limitations seem to be more objective and easier to assess than psychological limitations. Future research should focus on psychological limitations to enhance understanding among healthcare professionals and individuals with CMD or MSD.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid42094292,

title = {Digital tools for assessing bipolar disorder: A scoping review of the current landscape},

author = {Samantha Jacobson and Hannah Carling and Lisa Sarraf and Ethan Draper and Sarah Jacobson and Mélodie St-James and Chris Misiasz and Sianna Williamson and Elisabeth Thibaudeau and Geneviève Sauvé and Katie M Lavigne and Delphine Raucher-Chéné},

doi = {10.1016/j.nsa.2026.107004},

issn = {2772-4085},

year  = {2026},

date = {2026-01-01},

journal = {Neurosci Appl},

volume = {5},

pages = {107004},

abstract = {This scoping review synthesizes current evidence on the use of digital tools to assess bipolar disorder across clinical, behavioral, physiological, and psychosocial domains. An electronic search of Ovid, CINAHL, ClinicalTrials.gov, and OpenGrey, completed in March 2026, yielded 374 articles for full-text evaluation. Of which 214 studies met the inclusion criteria and were included in the final review. Most studies were conducted in the Global North, particularly the United States, Denmark, the United Kingdom, and Germany. Participant samples varied widely, although cohorts were typically comprised of young adults and predominantly female, with implications for the contexts in which digital markers have been evaluated across illness stages and demographic groups, and for the extent to which these findings can be generalized. Across studies, mood, sleep, and activity were the most frequently assessed domains, whereas physiological signals, cognitive performance, and communication-based features were less frequently examined, highlighting several underdeveloped but clinically relevant areas. Common measurement approaches included self-report questionnaires and ecological momentary assessment, whilst passive sensing approaches, such as accelerometry, geolocation, device-use metrics, speech features, and actigraphy, captured continuous indicators of sleep-wake cycles, mobility, and activity rhythms. The present synthesis reveals a clear temporal shift: since 2015, the field has transitioned from primarily active, self-report study designs toward multimodal, sensor-based methodologies, driven by advances in smartphones, wearable technologies, and sophisticated data-processing pipelines. Overall, this review highlights substantial progress in digital monitoring for bipolar disorder, with emerging tools offering ecologically valid, continuous assessment of core symptom dimensions. These developments lay essential groundwork for multimodal digital biomarkers with potential applications in early detection, tailored intervention, improved patient outcomes, and longitudinal care.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39120714,

title = {An intersectional perspective on the sociodemographic and clinical factors influencing the status of not in Education, Employment, or training (NEET) in patients with first-episode psychosis (FEP)},

author = {Jiaxuan Deng and Lisa Sarraf and Adèle Hotte-Meunier and Stéphanie El Asmar and Jai Shah and Ridha Joober and Ashok Malla and Srividya Iyer and Martin Lepage and Geneviève Sauvé},

doi = {10.1007/s00127-024-02732-z},

issn = {1433-9285},

year  = {2025},

date = {2025-06-01},

journal = {Soc Psychiatry Psychiatr Epidemiol},

volume = {60},

number = {6},

pages = {1367--1377},

abstract = {PURPOSE: High rates of Not in Education, Employment or Training (NEET) are seen in people with first episode of psychosis (FEP). Sociodemographic and clinical factors were reported to be associated with NEET status in FEP patients. This study follows Intersectionality to examine the independent and additive effects, and most importantly the intersections of sociodemographic and clinical variables concerning NEET status in FEP patients. It was hypothesized that NEET status in FEP patients would be described by the intersection between at least two predictor variables.nnMETHODS: Secondary analyses with chi-square tests, multiple logistic regression and Chi-squared Automatic Interaction Detection (CHAID) analyses were performed on 440 participants with FEP.nnRESULTS: Chi-square tests indicated that patient socioeconomic status and negative symptom severity were significantly and independently associated with their NEET status. Multiple logistic regression suggested additive effects of age (odds ratio = 1.61), patient socioeconomic status (odds ratio = 1.55) and negative symptom severity (odds ratio = 1.75) in predicting patients' NEET status. CHAID detected an intersection between patients' negative symptom severity and socioeconomic status in shaping their NEET status.nnCONCLUSION: This study explored how the NEET status of patients with FEP was explained not only by the separate effects of negative symptom severity and socioeconomic status but also by the unique intersections of their clinical and social identities. Findings indicated that functional outcomes of patients appear co-constructed by the intersections of multiple identities. Crucial clinical implications of complementing care for negative symptom severity with vocational resources to improve functional outcomes of patients are discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid40576457,

title = {How do negative symptoms and social cognitive impairments overlap? Clustering analyses on patients living with schizophrenia-spectrum disorder},

author = {Hannah Carling and Elisabeth Thibaudeau and Geneviève Sauvé and Danielle Penney and Katie M Lavigne and Martin Lepage and Delphine Raucher-Chéné},

doi = {10.1093/scan/nsaf061},

issn = {1749-5024},

year  = {2025},

date = {2025-06-01},

journal = {Soc Cogn Affect Neurosci},

abstract = {Negative symptoms and social cognition (SC) are intertwined in schizophrenia spectrum disorders (SSD) but the structure of this interaction is not yet fully understood. We employed cluster analyses to advance our understanding of the relationship between negative symptom severity and SC. We sought to identify discrete groups of patients as a function of two factors of negative symptoms-Motivation and Pleasure (MAP) and Expressivity (EXP) - and two domains of SC: emotion recognition (ER) and theory of mind (ToM). We conducted two cluster analyses to determine data-driven subgroups using two independent samples of SSD participants. The first conducted with an open dataset (n = 296) and the second with a local sample (n = 138), to assess replicability. The first cluster analysis revealed a 3-cluster solution. Both analyses highlighted distinct profiles: a 'Relatively Preserved' Profile; a 'Combined Impairment' profile, with high negative symptoms and impaired ER and ToM; and a 'MAP' profile, with high MAP symptoms, some EXP symptoms, and slightly to moderately impaired ER and ToM. Reducing the heterogeneity in clinical presentations of SSD patients on these dimensions of negative symptoms and social cognition provides relevant information that could contribute to a more effective selection of interventions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid40602661,

title = {Efficacy of an occupational intervention for quality of work life in ADHD: A randomized controlled trial protocol},

author = {Chloé Voyer and Marc Corbière and Patrizia Villotti and Alina N Stamate and Geneviève Sauvé},

doi = {10.1016/j.cct.2025.107997},

issn = {1559-2030},

year  = {2025},

date = {2025-06-01},

journal = {Contemp Clin Trials},

volume = {155},

pages = {107997},

abstract = {BACKGROUND: While psychosocial interventions for ADHD in children are well-established, there is a gap in addressing ADHD symptoms that persist into adulthood, particularly those impacting occupational functioning. Adults living with ADHD often face challenges in the workplace related to time management, regulating attention, task prioritization, and meeting deadlines.nnMETHODS: This study will evaluate the efficacy of a workplace intervention designed to improve the quality of work life in adults living with possible ADHD. A single-blind randomized controlled trial will compare an 8-week virtual psychosocial intervention to an active control group, with quality of work life as the primary outcome. Secondary outcomes will include self-reported measures related to work such as job satisfaction, psychological needs and well-being, self-esteem, self-efficacy, cognitive functioning, self-compassion, and quality of work relationships. Outcomes will be assessed at baseline, post-intervention, and at 3, 6, 9, and 12-month follow-up. In parallel, an optional awareness raising video will engage workplace stakeholders to improve ADHD literacy, reduce stigma, and offer neuroinclusive management strategies. Intention-to-treat analyses will use linear mixed-effects models.nnDISCUSSION: A participatory research approach was used to co-design the intervention material with workplace managers, community representatives, service providers and adults with lived experience. The research team will disseminate findings in scientific journals, conferences, and by sharing bilingual intervention materials with service providers and adults living with ADHD. This study fills a gap in addressing ADHD in the workplace, with findings that will inform intervention practices and improve workplace inclusion.nnTRIAL REGISTRATION: This study was registered at ClinicalTrials.gov (NCT06774378) on January 17, 2025.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid40116708,

title = {Mapping Insight Dimensions and Symptom Dynamics in Schizophrenia: A Data-Driven Network Approach: Cartographie des dimensions d'insight et de la dynamique symptomatique dans la schizophrénie: une approche par réseau fondée sur les données},

author = {Jesse Rae and Katie M Lavigne and Geneviève Sauvé and Martin Lepage and Delphine Raucher-Chéné},

doi = {10.1177/07067437251329074},

issn = {1497-0015},

year  = {2025},

date = {2025-04-01},

journal = {Can J Psychiatry},

volume = {70},

number = {4},

pages = {301--311},

abstract = {ObjectivesPatients with  (SSD) present with cognitive, behavioral, and emotional difficulties. Affected individuals often exhibit poor insight into aspects of their illness, such as awareness of the illness itself or the need for treatment, which can hinder treatment adherence and complicate clinical outcomes. This study aimed to investigate the relationships between clinical symptoms and dimensions of insight in SSD using a network approach, which captures direct and indirect relationships among variables. We hypothesized that illness awareness would correlate negatively with positive symptoms and positively with depressive symptoms, and that positive symptoms would have the strongest influence on the network.MethodsData were collected from 142 individuals diagnosed with SSD. Insight was measured using the Birchwood Insight Scale (IS) across three dimensions: illness awareness, symptom re-labelling, and awareness of the need for treatment. Symptoms were evaluated using the Scale for the Assessment of Positive Symptoms, the Scale for the Assessment of Negative Symptoms, the Calgary Depression Scale and the Hamilton Anxiety Scale. Network analysis was employed to explore interconnections (edges) between variables (nodes) and identify influential variables through centrality measures (strength, betweenness, closeness).ResultsA significant positive connection was found between illness awareness and depressive symptoms. Anxiety and depressive symptoms were identified as the most central and influential variables within the network. Treatment awareness showed greater centrality than illness awareness, indicating this dimension's potential importance in influencing symptom dynamics in a clinical profile.ConclusionsAnalyzing a more extensive network that includes treatment adherence and cognitive domains affected in SSD could enhance and validate the understanding of the cascading effects of symptoms and insight dimensions, allowing for more tailored treatments.Plain Language Summary TitleInterconnections between levels of awareness and clinical symptoms in schizophrenia and related disorders.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid40233365,

title = {iCogCA to Promote Cognitive Health Through Digital Group Interventions for Individuals Living With a Schizophrenia Spectrum Disorder: Protocol for a Nonrandomized Concurrent Controlled Trial},

author = {Christy Au-Yeung and Helen Thai and Michael Best and Christopher R Bowie and Synthia Guimond and Katie M Lavigne and Mahesh Menon and Steffen Moritz and Myra Piat and Geneviève Sauvé and Ana Elisa Sousa and Elisabeth Thibaudeau and Todd S Woodward and Martin Lepage and Delphine Raucher-Chéné},

doi = {10.2196/63269},

issn = {1929-0748},

year  = {2025},

date = {2025-04-01},

journal = {JMIR Res Protoc},

volume = {14},

pages = {e63269},

abstract = {BACKGROUND: Cognitive 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.nnOBJECTIVE: The 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.nnMETHODS: The 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.nnRESULTS: A 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).nnCONCLUSIONS: At 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.nnTRIAL REGISTRATION: ClinicalTrials.gov NCT05661448; https://clinicaltrials.gov/study/NCT05661448.nnINTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/63269.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid40263269,

title = {Metacognitive training for psychosis (MCT): a systematic meta-review of its effectiveness},

author = {Antonia Meinhart and Geneviève Sauvé and Annika Schmueser and Danielle Penney and Fabrice Berna and Łukasz Gawęda and Maria Lamarca and Steffen Moritz and Susana Ochoa and Caroline König and Vanessa Acuña and Rabea Fischer},

doi = {10.1038/s41398-025-03344-0},

issn = {2158-3188},

year  = {2025},

date = {2025-04-01},

journal = {Transl Psychiatry},

volume = {15},

number = {1},

pages = {156},

abstract = {OBJECTIVE: Metacognitive training for psychosis (MCT) targets cognitive biases implicated in the pathogenesis of psychosis, e.g., jumping to conclusions, overconfidence in errors, and inflexibility. This systematic meta-review investigated the current meta-analytic evidence for the effectiveness of MCT with respect to core symptom features in schizophrenia (i.e., positive symptoms, delusions and hallucinations, negative symptoms, and overall psychotic symptoms).nnDATA SOURCES: This meta-review was registered with PROSPERO (CRD42023447442) on July 28, 2023. Articles were searched across five electronic databases from January 1, 2007 to September 1, 2023.nnSTUDY SELECTION: Meta-analyses addressing metacognitive interventions targeting psychotic symptoms were eligible for meta-review.nnDATA EXTRACTION AND SYNTHESIS: PRISMA guidelines were followed when applicable. Data extraction was done independently by two authors (AM, AS). A random-effects model was used to pool data within meta-analyses.nnMAIN OUTCOMES AND MEASURES: Main outcomes were levels/severity of positive symptoms, delusions and hallucinations, negative symptoms, and overall psychotic symptoms after intervention.nnRESULTS: Eight meta-analyses and two re-analyses were included for meta-review. A total of eight analyses provided sufficient data for analysis. Significant evidence was found in favor of MCT for positive symptoms (85.71%; N = 35, g = 0.473 [0.295, 0.651], I = 74.64), delusions (60%; N = 24, g = 0.639 [0.389, 0.889], I = 80.01), hallucinations (100%; N = 9, g = 0.265 [0.098, 0.432], I = 6.1), negative symptoms (100%; N = 17, g = 0.233 [0.1, 0.366], I = 34.78), and overall symptoms (50%; N = 37, g = 0.392 [0.245, 0.538], I = 65.73). None of the meta-analyses included a large enough sample size to meet the criteria for 'suggestive', 'convincing', or 'highly convincing' evidence according to metaumbrella.org guidelines (required sample size > 1000 cases). None of the meta-analyses scored 'moderate' or 'high' on methodological quality. Meta-analyses with significant results were more recent and/or considered more primary studies.nnCONCLUSIONS AND RELEVANCE: There is consistent evidence that MCT ameliorates positive symptoms and delusions in schizophrenia.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid39675227,

title = {Does metacognitive training for psychosis (MCT) improve neurocognitive performance? A systematic review and meta-analysis},

author = {Clayton Jeffrey and Danielle Penney and Geneviève Sauvé and Daniel Mendelson and Élisabeth Thibaudeau and Steffen Moritz and Adèle Hotte-Meunier and Martin Lepage},

doi = {10.1016/j.schres.2024.12.004},

issn = {1573-2509},

year  = {2025},

date = {2025-01-01},

journal = {Schizophr Res},

volume = {275},

pages = {79--86},

abstract = {BACKGROUND: Metacognitive training for psychosis (MCT) offers benefits for addressing hallmark deficits/symptoms in schizophrenia spectrum disorders including reductions in cognitive biases and positive/negative symptoms as well as improvements in social cognition and functioning. However, differing results exist regarding the relationship between MCT and neurocognition. A comprehensive understanding of the nature of this relationship would significantly contribute to the existing literature and our understanding of the potential added value of MCT as a cognitive intervention for psychosis.nnMETHODS: Across eleven electronic databases, 1312 sources were identified, and 14 studies examining MCT and neurocognition in psychosis were included in this review. Measures of estimated effect sizes were calculated with Hedge's g, moderator analyses used Cochrane's Q statistic and significance tests to measure group differences according to control conditions.nnRESULTS: Twelve studies, 11 randomized controlled trials (RCTs) and 1 non-RCT, were included in the main meta-analyses, consisting of 673 participants (n = 345, n = 328). When comparing MCT against control interventions, non-significant differences in estimated effect sizes were observed across all neurocognitive domains when evaluating pre-post changes (g ≤ 0.1, p > .05). Two additional studies corroborated these results in a narrative review.nnCONCLUSION: These findings suggest that when compared against control conditions, MCT does not pose a statistically meaningful benefit to neurocognitive performance. General practice/learning effects are likely the main contributor that explains improvement in neurocognitive performance, and not a difference of intervention allocation when considering MCT against the included control comparators. These findings help establish the specificity of the effects of MCT.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid41292590,

title = {Virtual reality offerings for wellbeing for and by marginalized populations: A scoping review on equity and intersectionality},

author = {Quinta Seon and Adèle Hotte-Meunier and Lisa Sarraf and Caroline Dakoure and Clayton Jeffrey and Ethan C Draper and Geneviève Sauvé and Myrna Lashley and Martin Lepage},

doi = {10.1017/gmh.2025.10084},

issn = {2054-4251},

year  = {2025},

date = {2025-01-01},

journal = {Glob Ment Health (Camb)},

volume = {12},

pages = {e131},

abstract = {Although virtual reality (VR) programs are being developed by marginalized groups', a systemic power imbalance still exists. Marginalized groups have a place in digital wellbeing and can lead initiatives to access resources that they desire. To better support these efforts and mobilize knowledge among marginalized stakeholders, we conducted a scoping review of the use of VR for wellbeing. Adopting an equity lens that considers the experiences of intersectional marginalization, our aim was to identify VR programs, their targets, outcomes and equity-related facilitators and barriers. In May 2023, we conducted a comprehensive literature search of MEDLINE, PsycINFO, Embase and Web of Science databases and grey literature for  and  Eligible research articles since the inception of the databases were those that met our predefined criteria of VR, marginalized populations and wellbeing. We included 38 studies and charted preregistered variables using narrative synthesis, descriptive statistics, and a logic model. The populations were often intersectionally marginalized--primarily individuals with disabilities, underrepresented sexualities and genders, and marginalized older individuals in high-income countries on Turtle Island (North America). The most common race categories were Black or African American (26%) and European or White (53%), but other sociodemographic characteristics were underreported. VR offered diverse support, including social, mental, physical and cultural. We report program outcomes for several subgroups; though heterogeneous, most studies reported improved wellbeing outcomes. VR's flexibility created informal, flexible spaces, with peer support that contributed to mental and social wellbeing. Several factors could hinder marginalized groups' ability to access and participate, such as the lack of free programs, data and program ownership, and intersectional data analyses. This topic reflects a growing literature, with half of the publications being in 2022 or 2023. Many of these studies have limitations like small sample sizes and a lack of mixed-methods or practical significance analyses. Moving forward, researchers should apply more open-access and inclusive practices in their designs and recruitment processes to widen equitable access to marginalized stakeholders. Nevertheless, many marginalized populations created VR programs and benefited from them, contributing to a rebalancing of power over wellbeing.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid41116811,

title = {E-Cog: An online training platform for cognitive health interventions based on the ADDIE model},

author = {Ana Elisa Sousa and Caroline Dakoure and Christy Au-Yeung and Katie M Lavigne and Delphine Raucher-Chéné and Christopher R Bowie and Steffen Moritz and Martin Lepage and Geneviève Sauvé},

doi = {10.1177/20552076251381249},

issn = {2055-2076},

year  = {2025},

date = {2025-01-01},

journal = {Digit Health},

volume = {11},

pages = {20552076251381249},

abstract = {BACKGROUND: Online learning is an accessible and cost-effective solution to deliver training in healthcare. In-person training has long supported mental health practitioners in delivering cognitive health interventions, however for many underserved populations, significant barriers to accessing standardized, evidence-based training for such treatments remain. The E-Cog platform aims to bridge this implementation gap, delivering accessible and engaging remote training that maintains the quality of in-person training.nnOBJECTIVES: Describe the design, development, and implementation of E-Cog, an innovative online training platform for two cognitive health interventions, within the context of a Canadian multisite implementation trial for individuals diagnosed with psychosis. Additionally, examine the feasibility and acceptability of the ADDIE educational framework for e-learning development.nnMETHODS: Following the ADDIE model's five phases (analysis, design, development, implementation, and evaluation), we developed our training platform and its curriculum of two cognitive health online certifications: Action-Based Cognitive Remediation and Metacognitive Training. This protocol describes the first four phases of our work and reports on the feasibility and acceptability of the ADDIE model.nnCONCLUSIONS: E-Cog has been implemented to deliver remote, asynchronous training that maintains in-person quality standards and shows potential for cost-effectiveness. Successful uptake of mental health practitioners ( = 28) was observed during the first two years of implementation. ADDIE was perceived as feasible and acceptable as a framework for e-learning content, depending on flexibility to adapt its structure to research challenges and constraints. Next steps include a qualitative assessment of E-Cog's usability and impact on intervention delivery.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid37772399,

title = {Effects of metacognitive training (MCT) on social cognition for schizophrenia spectrum and related psychotic disorders: a systematic review and meta-analysis},

author = {Adèle Hotte-Meunier and Danielle Penney and Daniel Mendelson and Élisabeth Thibaudeau and Steffen Moritz and Martin Lepage and Geneviève Sauvé},

doi = {10.1017/S0033291723002611},

issn = {1469-8978},

year  = {2024},

date = {2024-04-01},

journal = {Psychol Med},

volume = {54},

number = {5},

pages = {914--920},

abstract = {BACKGROUND: Individuals with schizophrenia spectrum and related psychotic disorders (SSD) experience significant impairments in social cognition that impede functioning. Social cognition is a multidimensional construct consisting of four domains: 1. theory of mind, 2. emotion processing, 3. attributional style and 4. social perception. Metacognitive training (MCT) is an intervention designed to target cognitive biases in psychosis containing two modules addressing social cognition.nnMETHODS: A systematic review and meta-analysis was conducted to investigate the effects of MCT on social cognition and two of its domains: theory of mind and emotion processing. Ten electronic databases were scoured from 2007 to 1 February 2022 for MCT studies reporting social cognition outcomes for people with SSD (1050 identified, 282 assessed). Effect sizes were calculated using Cohen's d in R.nnRESULTS: Nine studies were included in the meta-analysis ( = 212,  = 194). MCT had a small but positive effect on global social cognition ( = 0.28 [95% CI 0.07-0.49]) and theory of mind ( = 0.27 [95% CI 0.01-0.52]). MCT showed no evidence of an effect on emotion processing ( = 0.03 [95% CI -0.26 to 0.32]).nnCONCLUSION: MCT has a small but significant effect on social cognition for people with SSD. Our results add to other recent meta-analyses showing significant effects of MCT on clinically relevant outcomes such as positive symptoms, cognitive biases and cognitive insight. We recommend that future studies on MCT report outcomes on all four domains of social cognition.nnTRIAL REGISTRATION: PROSPERO (in the process of registration) available at https://www.crd.york.ac.uk/prospero/#recordDetails.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid37956787,

title = {Transdiagnostic cognitive biases in psychiatric disorders: A systematic review and network meta-analysis},

author = {Katie M Lavigne and Jiaxuan Deng and Delphine Raucher-Chéné and Adèle Hotte-Meunier and Chloe Voyer and Lisa Sarraf and Martin Lepage and Geneviève Sauvé},

doi = {10.1016/j.pnpbp.2023.110894},

issn = {1878-4216},

year  = {2024},

date = {2024-02-01},

journal = {Prog Neuropsychopharmacol Biol Psychiatry},

volume = {129},

pages = {110894},

abstract = {Psychiatric disorders are characterized by cognitive deficits, which have been proposed as a transdiagnostic feature of psychopathology ("C" factor). Similarly, cognitive biases (e.g., in attention, memory, and interpretation) represent common tendencies in information processing that are often associated with psychiatric symptoms. However, the question remains whether cognitive biases are also transdiagnostic or are specific to certain psychiatric disorders/symptoms. The current systematic review sought to address whether the proposed "C" factor of transdiagnostic cognitive dysfunction in psychopathology can be extended to cognitive biases. Overall, 31 studies comprising 4401 participants (2536 patients, 1865 non-clinical controls) met inclusion criteria, assessing 19 cognitive biases across 20 diagnostic categories, with most studies focusing on interpretation (k = 22) and attention (k = 11) biases and only 2 assessing memory biases. Traditional meta-analyses found a moderate effect size (g = 0.32) for more severe cognitive biases in all patients relative to non-clinical controls, as well as small but significant associations between interpretation biases and transdiagnostic symptom categories (general psychopathology: r = 0.20, emotion dysfunction: r = 0.17, psychotic symptoms: r = 0.25). Network meta-analyses revealed significant patient versus non-clinical control differences on attention and interpretation biases across diagnoses, as well as significant differences between diagnoses, with highest severity in panic disorder for attention biases and obsessive-compulsive disorder for interpretation biases. The current findings extend the big "C" interpretation of transdiagnostic cognitive dysfunction in psychiatric disorders to cognitive biases and transdiagnostic symptom dimensions. Results also suggest that while the presence of cognitive biases is transdiagnostic, bias severity differs across diagnoses, as in traditional neurocognitive deficits.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35963056,

title = {The clinical and psychosocial correlates of self-stigma among people with schizophrenia spectrum disorders across cultures: A systematic review and meta-analysis},

author = {Lisa Sarraf and Martin Lepage and Geneviève Sauvé},

doi = {10.1016/j.schres.2022.08.001},

issn = {1573-2509},

year  = {2022},

date = {2022-10-01},

journal = {Schizophr Res},

volume = {248},

pages = {64--78},

abstract = {BACKGROUND: Individuals with schizophrenia spectrum disorders (SSD) are at heightened risk of experiencing self-stigma, and some cultures are more stigmatizing towards SSD than others. The first purpose of this review is to provide an estimate of the relationship between self-stigma and clinical and psychosocial outcomes. The second purpose is to examine how these relationships vary across cultures.nnMETHOD: Studies reporting correlations between self-stigma and outcome variable(s) were identified through electronic database searches from June 1, 2021, to January 2, 2022. Mean effect sizes were calculated using Fisher's r-to-Z-transformation.nnRESULTS: Sixty-three articles (N = 8925, 22 countries) were included in the systematic review and fifty-three articles (N = 7756) were included in the meta-analysis. For the most studied clinical correlates, self-stigma had a moderate, positive correlation with depressive symptoms (r = 0.49, p < .001), a moderate, negative correlation with functioning (r = -0.39, p < .001), and a positive, small correlation with severity of psychotic symptoms (r = 0.29, p < .001), negative symptoms (r = 0.18, p < .001) and positive symptoms (r = 0.13, p = .01). For the most studied psychosocial correlates, self-stigma had a strong, negative correlation with quality of life (r = -0.52, p < .001) and self-esteem (r = -0.55, p < .001). The correlates of self-stigma were similar across cultures.nnDISCUSSION: Self-stigma shows strong to small correlations with clinical and psychosocial variables similarly across cultures. More research is needed to examine underlying mechanisms to develop effective interventions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid34331191,

title = {Minds@Work: A New Manualized Intervention to Improve Job Tenure in Psychosis Based on Scoping Review and Logic Model},

author = {Geneviève Sauvé and Gabriella Buck and Martin Lepage and Marc Corbière},

doi = {10.1007/s10926-021-09995-2},

issn = {1573-3688},

year  = {2022},

date = {2022-09-01},

journal = {J Occup Rehabil},

volume = {32},

number = {3},

pages = {515--528},

abstract = {Introduction A significant proportion of people experiencing psychosis are unemployed, despite a strong desire to work. Current supported employment programs appear effective in helping them obtain employment, yet job tenure remains an arduous challenge. The objective of this study was to review the literature and model the results to inform the development of a new manualized group psychosocial intervention-'Minds@Work'-aimed specifically at improving job tenure in psychosis. Methods The study was registered on the Open Science Framework platform ( https://osf.io/he68z ). The literature was searched in Medline, Embase, PsycInfo and Cochrane Library databases for studies examining predictors of job tenure in psychosis and existing occupational psychosocial interventions. Data were extracted using a pre-established form and synthesized using logic models. Results A total of 94 studies were included and their findings were modeled using different categories: intervention typologies, mechanisms of action, predictors of job tenure, outcomes and contextual factors. The 'Minds@Work' program was built based on these modeled findings and aimed to target specific predictors of job tenure while addressing some of the limitations of existing interventions. The program uses evidence-based techniques and is divided into 9 modules covering 4 themes: positive psychology (motivation, character strengths, self-compassion), neurocognitive remediation (attention, memory, problem-solving), cognitive biases training (jumping to conclusions, defeatists beliefs, theory of mind, attributional styles) and socioemotional coping skills (emotion regulation, communication). Conclusions Once validated, this new program is meant to be used either as a stand-alone intervention or integrated in supported employment initiatives, by employment specialists or healthcare workers.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35242604,

title = {Remote group therapies for cognitive health in schizophrenia-spectrum disorders: Feasible, acceptable, engaging},

author = {Daniel Mendelson and Élisabeth Thibaudeau and Geneviève Sauvé and Katie M Lavigne and Christopher R Bowie and Mahesh Menon and Todd S Woodward and Martin Lepage and Delphine Raucher-Chéné},

doi = {10.1016/j.scog.2021.100230},

issn = {2215-0013},

year  = {2022},

date = {2022-06-01},

journal = {Schizophr Res Cogn},

volume = {28},

pages = {100230},

abstract = {Severe cognitive impairments and cognitive distortions are core to schizophrenia-spectrum disorders (SSDs) and are associated with deteriorated social functioning. Despite well-established efficacy of group psychosocial therapies targeting cognitive health in SSDs, dissemination of these programs remains limited. Remote delivery offers a promising strategy for increasing the programs' accessibility. Yet, little research has evaluated group therapies for cognitive health delivered in this way. Thus, we aimed to assess, from participants' and therapists' perspectives, the , , as well as levels and process of  in a videoconference delivery of group psychosocial therapies for SSD patients' cognitive health. Participants, outpatients, attended  or  both adapted for videoconference. Then, participants and therapists completed post-therapy questionnaires. Of the 28 participants attending at least one session, 75% completed more than half of sessions and seven dropped out. Technology did not appear to significantly hinder participation in the programs. All completing participants reported a positive experience with therapy, 67% were not bothered by the distance from the therapist, and 77% trusted that the information shared was kept confidential. Therapist-rated levels of attention M = 7.5/9 (SD = 1.04), participation M = 6.91/9 (SD = 1.32), and social interactions M = 5.31/9 (SD = 1.96) were satisfactory. Nonetheless, participants indicated that they would have appreciated more social interactions with group members. These positive results validate the earliest stage in the implementation process for remote group therapies targeting cognitive health in SSDs. Remote delivery promises to improve access to therapies targeting cognitive health and, ultimately, facilitate functional recovery for SSD patients.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid35320347,

title = {Immediate and Sustained Outcomes and Moderators Associated With Metacognitive Training for Psychosis: A Systematic Review and Meta-analysis},

author = {Danielle Penney and Geneviève Sauvé and Daniel Mendelson and Élisabeth Thibaudeau and Steffen Moritz and Martin Lepage},

doi = {10.1001/jamapsychiatry.2022.0277},

issn = {2168-6238},

year  = {2022},

date = {2022-05-01},

journal = {JAMA Psychiatry},

volume = {79},

number = {5},

pages = {417--429},

abstract = {IMPORTANCE: A substantial increase in the number of trials examining metacognitive training (MCT) for psychosis necessitates an updated examination of the outcomes associated with MCT.nnOBJECTIVES: To review the immediate and sustained associations of MCT with proximal (directly targeted) and distal (indirectly influenced) outcomes and assess treatment- and participant-related moderators to identify the potential factors associated with the expected heterogeneity of effect sizes.nnDATA SOURCES: Eleven electronic databases were searched from 2007 to June 3, 2021 (alert until September 10, 2021). Reference lists of earlier meta-analyses and included reports were screened.nnSTUDY SELECTION: Reports examined MCT and included participants with schizophrenia spectrum and related psychotic disorders (1045 reports identified; 281 assessed). There were no age, sex, gender, race and ethnicity, language, or study design restrictions. Two reviewers performed the selection of studies to be analyzed.nnDATA EXTRACTION AND SYNTHESIS: The Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guideline was followed. Data were extracted by 3 reviewers and pooled using random effects models. Hedges g effect sizes were computed. The Mixed-Methods Appraisal tool was used to assess study quality.nnMAIN OUTCOMES AND MEASURES: Proximal outcomes were global positive symptoms, delusions, hallucinations, and cognitive biases. Distal outcomes were self-esteem, negative symptoms, quality of life, well-being, and functioning. Immediate and sustained outcomes were examined. Meta-regressions, subgroup, and sensitivity analyses assessed moderators.nnRESULTS: This systematic review and meta-analysis included 43 studies (46 reports). Forty reports were synthesized in meta-analysis (N=1816 participants) and 6 reports were included in narrative review. In the studies examined, MCT was associated with positive symptoms (g = 0.50; 95% CI, 0.34-0.67), delusions (g = 0.69; 95% CI, 0.45-0.93), hallucinations (g = 0.26; 95% CI, 0.11-0.40), cognitive biases (g = 0.16; 95% CI, 0.03-0.29), self-esteem (g = 0.17; 95% CI, 0.03-0.31), negative symptoms (g = 0.23; 95% CI, 0.10-0.37), and functioning (g = 0.41; 95% CI, 0.12-0.69). These associations were maintained up to 1 year. The quality of life effect size was nonsignificant (g = 0.20; 95% CI, -0.07 to 0.47); only 1 study assessed well-being. Publication year was associated with moderated hallucinations (β = 0.04; 95% CI, 0.00-0.07). Overall, narrative review results corroborated meta-analytic findings.nnCONCLUSIONS AND RELEVANCE: In this meta-analysis, MCT for psychosis was associated with benefits up to 1 year postintervention in several treatment contexts. These findings suggest that MCT may merit integration in treatment guidelines for schizophrenia.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid34656875,

title = {Understanding others as a mediator between verbal memory and negative symptoms in schizophrenia-spectrum disorder},

author = {Delphine Raucher-Chéné and Elisabeth Thibaudeau and Geneviève Sauvé and Katie M Lavigne and Martin Lepage},

doi = {10.1016/j.jpsychires.2021.10.007},

issn = {1879-1379},

year  = {2021},

date = {2021-11-01},

journal = {J Psychiatr Res},

volume = {143},

pages = {429--435},

abstract = {From the onset of schizophrenia, verbal memory (VM) deficits and negative symptoms are strongly associated, and both additively predict functional outcomes. Emotion recognition (ER) and theory of mind (ToM; the ability to infer others' mental states), two components of social cognition, are also particularly affected in schizophrenia. Explanatory models of negative symptoms have integrated these cognitive impairments as potential precursors and previous studies revealed relationships between ER and/or ToM and VM, as well as with negative symptoms, but the organization of these associations remains unclear. We aimed to determine whether impairments in VM and social cognition sequentially pave the way for negative symptoms in schizophrenia. To this end, we used mediation analyses. One hundred and forty participants with a diagnosis of schizophrenia or schizoaffective disorder were recruited. First, correlational analyses were conducted between our variables of interest. The mediating effect of social cognition between VM and negative symptoms was then examined using the PROCESS macro. Variables of interest were significantly correlated (r = |0.166| to |0.391|), except for ER and negative symptoms. Only the serial multiple mediation model with 2 mediators (ER followed by ToM) revealed a significant indirect effect of VM on negative symptoms (β = - 0.160, 95% CI = -.370 to -.004). This relationship was selective for expressive negative symptoms (e.g., blunted affect and alogia). This study illustrates the richness of the relationship between cognitive deficits and negative symptoms and provides additional information for the involvement of social cognition in negative symptoms' etiology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid32361339,

title = {Efficacy of psychological interventions targeting cognitive biases in schizophrenia: A systematic review and meta-analysis},

author = {Geneviève Sauvé and Katie M Lavigne and Gabrielle Pochiet and Mathieu B Brodeur and Martin Lepage},

doi = {10.1016/j.cpr.2020.101854},

issn = {1873-7811},

year  = {2020},

date = {2020-06-01},

journal = {Clin Psychol Rev},

volume = {78},

pages = {101854},

abstract = {Cognitive biases, which are tendencies to systematically process, select and remember certain information (e.g., jumping to conclusions), are exacerbated in schizophrenia and associated with delusions. Here we review and quantitatively assess psychological interventions targeting cognitive biases (e.g., metacognitive training, reasoning training, Maudsley review training programme) to evaluate their efficacy in improving cognitive biases, positive symptoms, and insight. Overall, thirty-two studies, including 15 distinct interventions and 2738 participants, were identified through a comprehensive keyword database search. Meta-analytic effect sizes were calculated and heterogeneity, publication bias, and subgroup analyses (study bias, active/passive intervention) were conducted. We observed significant small to moderate beneficial effects of cognitive interventions on cognitive biases (Hedges' g = 0.27; 95% CI = [0.13-0.41]; z = 3.77; p < .001), positive symptoms (Hedges' g = 0.30; 95% CI = [0.13-0.48]; z = 3.44, p < .005), and insight (Hedges' g = 0.35; 95% CI = [0.15-0.56]; z = 3.37,p < .005). Interestingly, studies with high risk of bias or passive control condition did not differ significantly from those with low risk or active control condition, respectively. Thus, cognitive biases are malleable via psychological interventions, which also exert, either directly or indirectly through reduced cognitive biases, beneficial effects on positive symptoms and insight.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pmid30514643,

title = {Cognitive capacity similarly predicts insight into symptoms in first- and multiple-episode psychosis},

author = {Geneviève Sauvé and Rex B Kline and Jai L Shah and Ridha Joober and Ashok Malla and Mathieu B Brodeur and Martin Lepage},

doi = {10.1016/j.schres.2018.11.013},

issn = {1573-2509},

year  = {2019},

date = {2019-04-01},

journal = {Schizophr Res},

volume = {206},

pages = {236--243},

abstract = {BACKGROUND: Lack of insight is a frequent characteristic of psychotic disorders, both in patients who recently experienced a first episode of psychosis (FEP) and those who experience recurrent multiple episodes (MEP). Insight is a multifaceted construct: its clinical form notably includes the unawareness of being ill, of symptoms, and of the need for treatment. Cognitive capacity is among the key determinants of insight into symptoms, but less is known about whether stage of illness (FEP vs. MEP) moderates this association.nnMETHODS: Our aim is to evaluate the association between cognitive capacity and symptom unawareness using structural equation modeling and moderated multiple regression. A total of 193 FEP and MEP patients were assessed using the CogState battery and the Scale to Assess Unawareness of Mental Disorder.nnRESULTS: Analyses suggest that cognitive capacity accounts for a relatively small proportion of the total variation in symptom unawareness (6.4%). There was no evidence to suggest a moderating effect of stage of illness on this association.nnCONCLUSIONS: The effect of general cognitive capacity on symptom unawareness is relatively small, and this basic relation was unrelated to stage of illness. It is possible that stage of illness could moderate this association only for certain facets of insight not assessed in this study (e.g., unawareness of the need for treatment).},

keywords = {},

pubstate = {published},

tppubtype = {article}

}