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Perceived Causal Problem Networks: Reliability, Central Problems and Clinical Utility for Depression

Klintwall, Lars ; Bellander, Martina and Cervin, Matti LU (2021) In Assessment
Abstract
Personalized case conceptualization is often regarded as a prerequisite for treatment success in psychotherapy for patients with comorbidity. This article presents Perceived Causal Networks, a novel method in which patients rate perceived causal relations among behavioral and emotional problems. First, 231 respondents screening positive for depression completed an online Perceived Causal Networks questionnaire. Median completion time (including repeat items to assess immediate test–retest reliability) was 22.7 minutes, and centrality measures showed excellent immediate test–retest reliability. Networks were highly idiosyncratic, but worrying and ruminating were the most central items for a third of respondents. Second, 50 psychotherapists... (More)
Personalized case conceptualization is often regarded as a prerequisite for treatment success in psychotherapy for patients with comorbidity. This article presents Perceived Causal Networks, a novel method in which patients rate perceived causal relations among behavioral and emotional problems. First, 231 respondents screening positive for depression completed an online Perceived Causal Networks questionnaire. Median completion time (including repeat items to assess immediate test–retest reliability) was 22.7 minutes, and centrality measures showed excellent immediate test–retest reliability. Networks were highly idiosyncratic, but worrying and ruminating were the most central items for a third of respondents. Second, 50 psychotherapists rated the clinical utility of Perceived Causal Networks visualizations. Ninety-six percent rated the networks as clinically useful, and the information in the individual visualizations was judged to contain 47% of the information typically collected during a psychotherapy assessment phase. Future studies should individualize networks further and evaluate the validity of perceived causal relations. (Less)
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publishing date
type
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publication status
published
subject
in
Assessment
publisher
SAGE Publications
external identifiers
  • scopus:85114112245
  • pmid:34467772
ISSN
1552-3489
DOI
10.1177/10731911211039281
language
English
LU publication?
yes
id
e9b6bdb9-2436-43b6-8356-834cec898306
date added to LUP
2021-09-15 13:57:53
date last changed
2024-02-20 12:10:40
@article{e9b6bdb9-2436-43b6-8356-834cec898306,
  abstract     = {{Personalized case conceptualization is often regarded as a prerequisite for treatment success in psychotherapy for patients with comorbidity. This article presents Perceived Causal Networks, a novel method in which patients rate perceived causal relations among behavioral and emotional problems. First, 231 respondents screening positive for depression completed an online Perceived Causal Networks questionnaire. Median completion time (including repeat items to assess immediate test–retest reliability) was 22.7 minutes, and centrality measures showed excellent immediate test–retest reliability. Networks were highly idiosyncratic, but worrying and ruminating were the most central items for a third of respondents. Second, 50 psychotherapists rated the clinical utility of Perceived Causal Networks visualizations. Ninety-six percent rated the networks as clinically useful, and the information in the individual visualizations was judged to contain 47% of the information typically collected during a psychotherapy assessment phase. Future studies should individualize networks further and evaluate the validity of perceived causal relations.}},
  author       = {{Klintwall, Lars and Bellander, Martina and Cervin, Matti}},
  issn         = {{1552-3489}},
  language     = {{eng}},
  publisher    = {{SAGE Publications}},
  series       = {{Assessment}},
  title        = {{Perceived Causal Problem Networks: Reliability, Central Problems and Clinical Utility for Depression}},
  url          = {{http://dx.doi.org/10.1177/10731911211039281}},
  doi          = {{10.1177/10731911211039281}},
  year         = {{2021}},
}