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Heterogeneity in Response to MCT and Psychoeducation: A Feasibility Study Using Latent Class Mixed Models in
Marta Ferrer-Quintero1,2,3, Daniel Fernández3,4,5, Raquel López-Carrilero1,3,6
1Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, 08830 Barcelona, Spain.
Metacognitive training (MCT) improves cognitive insight in psychosis patients, though effects diminish over time. Latent class mixed models (LCMMs) reveal differing treatment responses to MCT versus psychoeducation.
Area of Science:
- Psychiatry and Psychology
- Clinical Neuroscience
- Mental Health Treatment
Background:
- Metacognitive training (MCT) is an established treatment for psychosis.
- Understanding longitudinal treatment response is crucial for optimizing early interventions.
- Individual differences in response to psychological therapies require further investigation.
Purpose of the Study:
- To explore the utility of latent class mixed models (LCMMs) in analyzing treatment response.
- To compare the longitudinal effects of metacognitive training (MCT) versus psychoeducation on cognitive insight in psychosis.
- To identify distinct patient trajectories following these interventions.
Main Methods:
- Latent class mixed models (LCMMs) were applied to patient data.
- Analysis included 28 patients receiving MCT and 34 patients receiving psychoeducation.
- Cognitive insight and self-certainty were key outcome measures.
Main Results:
- Metacognitive training (MCT) demonstrated initial efficacy in enhancing cognitive insight across all patients.
- The positive effects of MCT on cognitive insight were observed to wane during follow-up.
- Psychoeducation did not improve cognitive insight and was associated with increased self-certainty in a subgroup of patients.
Conclusions:
- Latent class mixed models (LCMMs) are valuable for dissecting heterogeneous treatment responses.
- Findings suggest differential long-term outcomes between MCT and psychoeducation.
- LCMMs can potentially inform personalized treatment prescription and predict patient response.
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