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Heterogeneity in response to MCT and psychoeducation: a feasibility study using latent class mixed models in first-episode psychosis

Authors :
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
Ferrer-Quintero, Marta
Fernández Martínez, Daniel
López Carrilero, Raquel
Verdaguer Rodriguez, Marina
Garcia Mieres, Helena
Huerta Ramos, Elena
Gómez Benito, Juana
Peláez, Trini
Birulés Muntané, Irene
Barajas Velez, Ana Belen
Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
Universitat Politècnica de Catalunya. GRBIO - Grup de Recerca en Bioestadística i Bioinformàtica
Ferrer-Quintero, Marta
Fernández Martínez, Daniel
López Carrilero, Raquel
Verdaguer Rodriguez, Marina
Garcia Mieres, Helena
Huerta Ramos, Elena
Gómez Benito, Juana
Peláez, Trini
Birulés Muntané, Irene
Barajas Velez, Ana Belen
Publication Year :
2022

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.<br />Daniel Fernández has been supported by grant 2017 SGR 622 (GRBIO) administrated by the Departament d’Economia i Coneixement de la Generalitat de Catalunya (Spain) and by the Ministerio de Ciencia e Innovación (Spain) [PID2019-104830RB-I00/ DOI (AEI): 10.13039/501100011033]; and CIBER, Consorcio Centro de Investigación Biomédica en Red, Instituto de Salud Carlos III, Ministerio de Ciencia e Innovación<br />Postprint (published version)

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1355846255
Document Type :
Electronic Resource