A multicomponent psychodynamic treatment for comorbid disorders
: a baseline and post-treatment network comparison

J 2023

A multicomponent psychodynamic treatment for comorbid disorders : a baseline and post-treatment network comparison

KLOCEK, Adam and Tomáš ŘIHÁČEK

Basic information

Original name

A multicomponent psychodynamic treatment for comorbid disorders : a baseline and post-treatment network comparison

Authors

KLOCEK, Adam and Tomáš ŘIHÁČEK

Edition

Counselling Psychology Quarterly, Abingdon, Routledge Journals, Taylor & Francis, 2023, 0951-5070

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50100 5.1 Psychology and cognitive sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

Impact factor

Impact factor: 3.000 in 2022

Organization unit

Faculty of Social Studies

DOI

http://dx.doi.org/10.1080/09515070.2023.2292212

UT WoS

001118793300001

Keywords in English

Network model; psychotherapy; wellbeing; depression-anxiety; comorbidity

Abstract

V originále

This study aims to assess pre-post change of 439 patients undergoing a multicomponent treatment (psychodynamic psychotherapy complemented with other treatment components) using a novel network methodology targeting symptoms comorbidity. Patients were recruited from seven clinical sites in the Czech Republic. First, the effectiveness of the treatment was assessed traditionally as a pre-post change in wellbeing, depression, and anxiety using a Bayesian mixed model. The Bayesian factors of time effect (pre-post comparison) on the three outcomes indicate evidence in favor of hypotheses suggesting psychotherapy effectiveness. Second, a network analysis of individual items measuring all three outcomes (Gaussian Graphical Model) was conducted to compare baseline and post-treatment patients’ networks in global edge strength, the topography of the network, the centrality of nodes, and the clique percolation. The network density represented by global edge strength was not affected by the treatment. Nevertheless, the network structure changed in a more qualitative manner into a clearer and separated set of node communities, potentially showing a reduction in comorbidity. The central position of the depression node community in the patients’ self-reported outcome assessment network was replaced by anxiety and wellbeing node communities after treatment.

Links

EF19_073/0016943, research and development project

Name: Interní grantová agentura Masarykovy univerzity

GA18-08512S, research and development project

Name: Účinnost psychoterapie u pacientů s medicínsky nevysvětlenými tělesnými symptomy: Multicentrická naturalistická studie

Investor: Czech Science Foundation

Citovat

KLOCEK, Adam and Tomáš ŘIHÁČEK. A multicomponent psychodynamic treatment for comorbid disorders : a baseline and post-treatment network comparison. Counselling Psychology Quarterly. Abingdon: Routledge Journals, Taylor & Francis, 2023, neuveden, neuveden, p. 1-26. ISSN 0951-5070. Available from: https://dx.doi.org/10.1080/09515070.2023.2292212.

@article{2348457,
   author = {Klocek, Adam and Řiháček, Tomáš},
   article_location = {Abingdon},
   article_number = {neuveden},
   doi = {http://dx.doi.org/10.1080/09515070.2023.2292212},
   keywords = {Network model; psychotherapy; wellbeing; depression-anxiety; comorbidity},
   language = {eng},
   issn = {0951-5070},
   journal = {Counselling Psychology Quarterly},
   title = {A multicomponent psychodynamic treatment for comorbid disorders : a baseline and post-treatment network comparison},
   url = {https://www.tandfonline.com/doi/full/10.1080/09515070.2023.2292212},
   volume = {neuveden},
   year = {2023}
}

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PY  - 2023
TI  - A multicomponent psychodynamic treatment for comorbid disorders : a baseline and post-treatment network comparison
JF  - Counselling Psychology Quarterly
VL  - neuveden
IS  - neuveden
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PB  - Routledge Journals, Taylor & Francis
SN  - 09515070
KW  - Network model
KW  - psychotherapy
KW  - wellbeing
KW  - depression-anxiety
KW  - comorbidity
UR  - https://www.tandfonline.com/doi/full/10.1080/09515070.2023.2292212
N2  - This study aims to assess pre-post change of 439 patients undergoing a multicomponent treatment (psychodynamic psychotherapy complemented with other treatment components) using a novel network methodology targeting symptoms comorbidity. Patients were recruited from seven clinical sites in the Czech Republic. First, the effectiveness of the treatment was assessed traditionally as a pre-post change in wellbeing, depression, and anxiety using a Bayesian mixed model. The Bayesian factors of time effect (pre-post comparison) on the three outcomes indicate evidence in favor of hypotheses suggesting psychotherapy effectiveness. Second, a network analysis of individual items measuring all three outcomes (Gaussian Graphical Model) was conducted to compare baseline and post-treatment patients’ networks in global edge strength, the topography of the network, the centrality of nodes, and the clique percolation. The network density represented by global edge strength was not affected by the treatment. Nevertheless, the network structure changed in a more qualitative manner into a clearer and separated set of node communities, potentially showing a reduction in comorbidity. The central position of the depression node community in the patients’ self-reported outcome assessment network was replaced by anxiety and wellbeing node communities after treatment.
ER  -

KLOCEK, Adam and Tomáš ŘIHÁČEK. A multicomponent psychodynamic treatment for comorbid disorders : a baseline and post-treatment network comparison. \textit{Counselling Psychology Quarterly}. Abingdon: Routledge Journals, Taylor \&{} Francis, 2023, neuveden, neuveden, p.~1-26. ISSN~0951-5070. Available from: https://dx.doi.org/10.1080/09515070.2023.2292212.

Detailed Information on Publication Record