Rethinking Research on Prediction and Prevention of Psychotherapy Dropout: A Mechanism-Oriented Approach.

Rethinking Research on Prediction and Prevention of Psychotherapy Dropout: A Mechanism-Oriented Approach. Behav Modif. 2018 Aug 05;:145445518792251 Authors: Cooper AA, Kline AC, Baier AL, Feeny NC Abstract Dropout is a ubiquitous psychotherapy outcome in clinical practice and treatment research alike, yet it remains a poorly understood problem. Contemporary dropout research is dominated by models of prediction that lack a strong theoretical foundation, often drawing on data from clinical trials that report on dropout in an inconsistent and incomplete fashion. In this article, we assert that dropout is a critical treatment outcome that is worthy of investigation as a mechanistic process. After briefly describing the scope of the dropout problem, we discuss the many factors that limit the field's present understanding of dropout. We then articulate and illustrate a transdiagnostic conceptual framework for examining psychotherapy dropout in contemporary research, concluding with recommendations for future research. With a more comprehensive understanding of the factors affecting retention, research efforts can shift toward investigating key processes underlying treatment dropout, thus, boosting prediction and informing strategies to mitigate dropout in clinical practice. PMID: 30079755 [PubMed - as supplied by publisher]
Source: Behavior Modification - Category: Psychiatry & Psychology Authors: Tags: Behav Modif Source Type: research