A process-based approach to psychological diagnosis and treatment:The conceptual and treatment utility of an extended evolutionary meta model.
Diagnosis
Evolutionary science
Mediation
Process-based therapy
Psychotherapy
Therapy process
Journal
Clinical psychology review
ISSN: 1873-7811
Titre abrégé: Clin Psychol Rev
Pays: United States
ID NLM: 8111117
Informations de publication
Date de publication:
12 2020
12 2020
Historique:
received:
03
03
2020
revised:
18
08
2020
accepted:
31
08
2020
pubmed:
16
9
2020
medline:
26
10
2021
entrez:
15
9
2020
Statut:
ppublish
Résumé
For half a century, the dominant paradigm in psychotherapy research has been to develop syndrome-specific treatment protocols for hypothesized but unproved latent disease entities, as defined by psychiatric nosological systems. While this approach provided a common language for mental health problems, it failed to achieve its ultimate goal of conceptual and treatment utility. Process-based therapy (PBT) offers an alternative approach to understanding and treating psychological problems, and promoting human prosperity. PBT targets empirically established biopsychosocial processes of change that researchers have shown are functionally important to long terms goals and outcomes. By building on concepts of known clinical utility, and organizing them into coherent theoretical models, an idiographic, functional-analytic approach to diagnosis is within our grasp. We argue that a multi-dimensional, multi-level extended evolutionary meta-model (EEMM) provides consilience and a common language for process-based diagnosis. The EEMM applies the evolutionary concepts of context-appropriate variation, selection, and retention to key biopsychosocial dimensions and levels related to human suffering, problems, and positive functioning. The EEMM is a meta-model of diagnostic and intervention approaches that can accommodate any set of evidence-based change processes, regardless of the specific therapy orientation. In a preliminary way, it offers an idiographic, functional analytic, and clinically useful alternative to contemporary psychiatric nosological systems.
Identifiants
pubmed: 32932093
pii: S0272-7358(20)30096-9
doi: 10.1016/j.cpr.2020.101908
pmc: PMC7680437
mid: NIHMS1628768
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
101908Subventions
Organisme : NCCIH NIH HHS
ID : R01 AT007257
Pays : United States
Organisme : NIMH NIH HHS
ID : U01 MH108168
Pays : United States
Organisme : NCCIH NIH HHS
ID : R44 AT006952
Pays : United States
Organisme : NIMH NIH HHS
ID : R34 MH099311
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH099021
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.
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