Publication: Heterogeneity in Response to MCT and Psychoeducation: A Feasibility Study Using Latent Class Mixed Models in First-Episode Psychosis.
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Identifiers
Date
2022-10-28
Authors
Ferrer-Quintero, Marta
Fernandez, Daniel
Lopez-Carrilero, Raquel
Diaz-Cutraro, Luciana
Verdaguer-Rodriguez, Marina
Garcia-Mieres, Helena
Huerta-Ramos, Elena
Gomez-Benito, Juana
Pelaez, Trini
Birules, Irene
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Metacognitive training (MCT) is an effective treatment for psychosis. Longitudinal trajectories of treatment response are unknown but could point to strategies to maximize treatment efficacy during the first episodes. This work aims to explore the possible benefit of using latent class mixed models (LCMMs) to understand how treatment response differs between metacognitive training and psychoeducation. We conducted LCMMs in 28 patients that received MCT and 34 patients that received psychoeducation. We found that MCT is effective in improving cognitive insight in all patients but that these effects wane at follow-up. In contrast, psychoeducation does not improve cognitive insight, and may increase self-certainty in a group of patients. These results suggest that LCMMs are valuable tools that can aid in treatment prescription and in predicting response to specific treatments.
Description
MeSH Terms
Follow-Up Studies
Psychotic Disorders
Treatment Outcome
Metacognition
Psychotic Disorders
Treatment Outcome
Metacognition
DeCS Terms
Estudios de seguimiento
Resultado del tratamiento
Trastornos psicóticos
Metacognición
Resultado del tratamiento
Trastornos psicóticos
Metacognición
CIE Terms
Keywords
First-episode psychosis, Latent class mixed models, Metacognition, Metacognitive training, Psychoeducation, Social cognition
Citation
Ferrer-Quintero M, Fernández D, López-Carrilero R, Díaz-Cutraro L, Verdaguer-Rodríguez M, García-Mieres H, et al. Heterogeneity in Response to MCT and Psychoeducation: A Feasibility Study Using Latent Class Mixed Models in First-Episode Psychosis. Healthcare (Basel). 2022 Oct 28;10(11):2155