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An integrative model of psychotherapeutic interventions based on a predictive processing framework

Abstract:
There are numerous approaches to psychotherapy with distinct underlying theories. Yet, it is unlikely that any of these is conclusive because they broadly yield similar therapeutic effects. A different approach attempts to derive the common factors from the specific treatments and proposes that these common factors primarily promote therapeutic effects. But although generally promising, these common factors have not been integrated into a more fundamental explanatory framework that also considers the effectiveness of specific factors. Therefore, an integrative model of psychotherapeutic interventions is still missing. The aim of this paper is to help fill that gap by applying the theory of predictive processing to interventions from various psychotherapeutic approaches, including cognitive behavioural therapy, client-centred therapy, and psychoanalysis. The analysis results in the predictive processing model of psychotherapeutic interventions (3PI model for short). The new model reveals that psychotherapy comprises two main functions: to provide a safe and positive environment to which the patient can adapt, and to facilitate the process of updating a dysfunctional generative model. Further, it shows that common factors primarily promote the first function, while specific factors mainly support the second function, offering a new perspective to the debate on common and the specific factors.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s10879-024-09637-7

Authors

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Institution:
University of Oxford
Division:
HUMS
Department:
Philosophy Faculty
Role:
Author
ORCID:
0000-0003-0851-624X


Publisher:
Springer Nature
Journal:
Journal of Contemporary Psychotherapy More from this journal
Publication date:
2024-06-15
Acceptance date:
2024-06-02
DOI:
EISSN:
1573-3564
ISSN:
0022-0116


Language:
English
Keywords:
Pubs id:
2007498
Local pid:
pubs:2007498
Deposit date:
2024-06-10
ARK identifier:

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