Abstract
Background: Identifying subgroups of patients that may show distinct trajectories of change during psychotherapy in realistic settings is relevant for the development of personalized therapeutic processes. Aims: The present study sought to (a) identify trajectories of change in Chilean patients; (b) explore variables that may predict the likelihood of belonging to certain trajectories; and (c) examine whether these different trajectories result in differences in treatment outcomes. Method: Growth mixture modeling (GMM) and multinomial logistic regression analysis were carried out on the data of 400 patients receiving psychotherapy at a private outpatient clinic in Chile. Results: Three trajectories of change were identified: (a) moderate initial dysfunction with slight deterioration, (b) mild initial dysfunction with favorable change, and (c) high initial dysfunction with rapid favorable change. Patient's age was found to be a significant predictor of trajectory assigned, suggesting a poorer prognosis for older patients. Moreover, the trajectories were significant predictors of treatment outcome. Conclusions: These results can be used to develop patient-specific therapeutic interventions based on the trajectories they exhibit.
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