Evolving an idionomic approach to processes of change: Towards a unified personalized science of human improvement.


Journal

Behaviour research and therapy
ISSN: 1873-622X
Titre abrégé: Behav Res Ther
Pays: England
ID NLM: 0372477

Informations de publication

Date de publication:
09 2022
Historique:
received: 15 03 2022
revised: 08 06 2022
accepted: 28 06 2022
pubmed: 22 7 2022
medline: 10 8 2022
entrez: 21 7 2022
Statut: ppublish

Résumé

The wide variety of "third wave" cognitive behavioral therapy (CBT) methods (e.g., Acceptance and Commitment Therapy or "ACT", Compassion Focused Therapy, Meta-Cognitive therapy, Functional Analytic Therapy, Dialectic Behavior Therapy, Mindfulness-Based Cognitive Therapy) have left a mark on the field that appears to be growing. As ACT enters its 40th year, the present paper examines key features of its development strategy as a ground from which to consider the future of CBT and evidence-based therapy. We discuss four key features of ACT development: universalism, multi-level and multi-dimensional processes linked to basic principles, idiographic concepts and methods, and an evolutionary approach. We argue that these features have facilitated the development of Process-Based Therapy (PBT) and its Extended Evolutionary Meta-Model (EEMM) of processes of change, but that idiographic methods need special contemporary emphasis, because traditional methodological and statistical approaches to processes of change are based on mathematical assumptions that cannot be met and thus limit progress in this area. We argue we need to target multi-level, multi-dimensional biopsychosocial processes of change evaluated via a functional, idionomic approach that begins with frequent idiographic assessment, and then scales to nomothetic (group level) findings when it improves idiographic fit. To identify candidate processes of change, we review the world's literature on mediational findings of randomized trials of psychological interventions for mental health outcomes. After examining nearly 55,000 studies, we identify 72 measures that have successfully mediated intervention outcomes and have been replicated. The EEMM can readily summarize and understand that set of findings, and idionomic statistical methods are available to turn these processes into a new empirical form of functional analysis applicable to the individual's goals and needs. PBT frees intervention science from the unhelpful latent disease model and creates an approach that promises more rapid progress toward a unified, personalized science of human improvement.

Identifiants

pubmed: 35863243
pii: S0005-7967(22)00126-7
doi: 10.1016/j.brat.2022.104155
pii:
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

104155

Subventions

Organisme : NCCIH NIH HHS
ID : R01 AT007257
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH099021
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH108168
Pays : United States

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Steven C Hayes (SC)

University of Nevada, Reno, United States. Electronic address: stevenchayes@gmail.com.

Joseph Ciarrochi (J)

Australian Catholic University, Australia.

Stefan G Hofmann (SG)

Philipps-University, Marburg, Germany and Boston University, Boston, United States.

Fredrick Chin (F)

University of Nevada, Reno, United States.

Baljinder Sahdra (B)

Australian Catholic University, Australia.

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Classifications MeSH