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Negative affectivity as a transdiagnostic factor in patients with common mental disorders

Identifieur interne : 000108 ( PascalFrancis/Corpus ); précédent : 000107; suivant : 000109

Negative affectivity as a transdiagnostic factor in patients with common mental disorders

Auteurs : Jan R. Bohnke ; Wolfgang Lutz ; Jaime Delgadillo

Source :

RBID : Francis:14-0198093

Descripteurs français

English descriptors

Abstract

Background: Screening and monitoring systems are increasingly used in psychotherapy, but it has been questioned whether outcome measurement using multiple questionnaires is warranted. Arguably, type and number of assessment instruments should be determined by empirical research. This study investigated the latent factor structure of a multi-dimensional outcome measurement strategy used in English services aligned to the Improving Access to Psychological Therapies (IAPT) programme. Methods: Factor analyses and structural equation models were performed on 11,939 intake assessments of outpatients accessing an IAPT service between 2008 and 2010. We examined whether three routinely employed instruments (PHQ-9 for depression, GAD-7 for anxiety, WSAS for functional impairment) assess empirically different dimensions. Results: The instruments were found to assess mainly one general dimension and only some items of the GAD-7 and WSAS assess unique variance beyond this general dimension. In a structural equation model the disorder-specific factor scores were predicted by patients' diagnostic categories. Limitations: Since a large naturalistic data base was used, missing data for diagnoses and scale items were encountered. Diagnoses were obtained with brief case-finding measures rather than structured diagnostic interviews. Conclusion: Although the items seem to address mostly one dimension, some variance is due to differences between individuals in anxiety and impairment. While this generally supports multi-dimensional assessment in a primary care population, the clinical upshot of the study is to concentrate attention on transdiagnostic factors as a target for treatment.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

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A03   1    @0 J. affect. disord.
A05       @2 166
A08 01  1  ENG  @1 Negative affectivity as a transdiagnostic factor in patients with common mental disorders
A11 01  1    @1 BOHNKE (Jan R.)
A11 02  1    @1 LUTZ (Wolfgang)
A11 03  1    @1 DELGADILLO (Jaime)
A14 01      @1 Mental Health and Addictions Research Group, Hull York Medical School & Department of Health Sciences, University of York @3 GBR @Z 1 aut.
A14 02      @1 Clinical Psychology & Psychotherapy, Trier University @3 DEU @Z 2 aut.
A14 03      @1 Leeds Community Healthcare NHS Trust @3 GBR @Z 3 aut.
A20       @1 270-278
A21       @1 2014
A23 01      @0 ENG
A43 01      @1 INIST @2 18006 @5 354000150321300390
A44       @0 0000 @1 © 2014 INIST-CNRS. All rights reserved.
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A60       @1 P @3 C
A61       @0 A
A64 01  1    @0 Journal of affective disorders
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C01 01    ENG  @0 Background: Screening and monitoring systems are increasingly used in psychotherapy, but it has been questioned whether outcome measurement using multiple questionnaires is warranted. Arguably, type and number of assessment instruments should be determined by empirical research. This study investigated the latent factor structure of a multi-dimensional outcome measurement strategy used in English services aligned to the Improving Access to Psychological Therapies (IAPT) programme. Methods: Factor analyses and structural equation models were performed on 11,939 intake assessments of outpatients accessing an IAPT service between 2008 and 2010. We examined whether three routinely employed instruments (PHQ-9 for depression, GAD-7 for anxiety, WSAS for functional impairment) assess empirically different dimensions. Results: The instruments were found to assess mainly one general dimension and only some items of the GAD-7 and WSAS assess unique variance beyond this general dimension. In a structural equation model the disorder-specific factor scores were predicted by patients' diagnostic categories. Limitations: Since a large naturalistic data base was used, missing data for diagnoses and scale items were encountered. Diagnoses were obtained with brief case-finding measures rather than structured diagnostic interviews. Conclusion: Although the items seem to address mostly one dimension, some variance is due to differences between individuals in anxiety and impairment. While this generally supports multi-dimensional assessment in a primary care population, the clinical upshot of the study is to concentrate attention on transdiagnostic factors as a target for treatment.
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Format Inist (serveur)

NO : FRANCIS 14-0198093 INIST
ET : Negative affectivity as a transdiagnostic factor in patients with common mental disorders
AU : BOHNKE (Jan R.); LUTZ (Wolfgang); DELGADILLO (Jaime)
AF : Mental Health and Addictions Research Group, Hull York Medical School & Department of Health Sciences, University of York/Royaume-Uni (1 aut.); Clinical Psychology & Psychotherapy, Trier University/Allemagne (2 aut.); Leeds Community Healthcare NHS Trust/Royaume-Uni (3 aut.)
DT : Publication en série; Compte-rendu; Niveau analytique
SO : Journal of affective disorders; ISSN 0165-0327; Coden JADID7; Royaume-Uni; Da. 2014; Vol. 166; Pp. 270-278; Bibl. 1 p.1/4
LA : Anglais
EA : Background: Screening and monitoring systems are increasingly used in psychotherapy, but it has been questioned whether outcome measurement using multiple questionnaires is warranted. Arguably, type and number of assessment instruments should be determined by empirical research. This study investigated the latent factor structure of a multi-dimensional outcome measurement strategy used in English services aligned to the Improving Access to Psychological Therapies (IAPT) programme. Methods: Factor analyses and structural equation models were performed on 11,939 intake assessments of outpatients accessing an IAPT service between 2008 and 2010. We examined whether three routinely employed instruments (PHQ-9 for depression, GAD-7 for anxiety, WSAS for functional impairment) assess empirically different dimensions. Results: The instruments were found to assess mainly one general dimension and only some items of the GAD-7 and WSAS assess unique variance beyond this general dimension. In a structural equation model the disorder-specific factor scores were predicted by patients' diagnostic categories. Limitations: Since a large naturalistic data base was used, missing data for diagnoses and scale items were encountered. Diagnoses were obtained with brief case-finding measures rather than structured diagnostic interviews. Conclusion: Although the items seem to address mostly one dimension, some variance is due to differences between individuals in anxiety and impairment. While this generally supports multi-dimensional assessment in a primary care population, the clinical upshot of the study is to concentrate attention on transdiagnostic factors as a target for treatment.
CC : 770D03G
FD : Affect affectivité; Rétroaction; Donnée catégorielle; Analyse donnée; Analyse factorielle; Homme; Troubles mentaux communs
ED : Affect affectivity; Feedback regulation; Categorical data; Data analysis; Factor analysis; Human; Common mental disorders
SD : Afecto afectividad; Retroacción; Dato categórico; Análisis datos; Análisis factorial; Hombre; Trastornos mentales frecuentes
LO : INIST-18006.354000150321300390
ID : 14-0198093

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Francis:14-0198093

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