Moderators of cognitive behavioural therapy treatment effects and predictors of outcome in the CODES randomised controlled trial for adults with dissociative seizures.

Dissociative seizures Functional impairment Health-related quality of life Moderators Predictors Randomised controlled trial

Journal

Journal of psychosomatic research
ISSN: 1879-1360
Titre abrégé: J Psychosom Res
Pays: England
ID NLM: 0376333

Informations de publication

Date de publication:
07 2022
Historique:
received: 14 11 2021
revised: 08 04 2022
accepted: 12 04 2022
pubmed: 27 5 2022
medline: 3 6 2022
entrez: 26 5 2022
Statut: ppublish

Résumé

We explored moderators of cognitive behavioural therapy (CBT) treatment effects and predictors of outcome at 12-month follow-up in the CODES Trial (N = 368) comparing CBT plus standardised medical care (SMC) vs SMC-alone for dissociative seizures (DS). We undertook moderator analyses of baseline characteristics to determine who had benefited from being offered CBT 12 months post-randomisation. Outcomes included: monthly DS frequency, psychosocial functioning (Work and Social Adjustment Scale - WSAS), and health-related quality of life (Mental Component Summary (MCS) and Physical Component Summary (PCS) SF-12v2 scores). When moderating effects were absent, we tested whether baseline variables predicted change irrespective of treatment allocation. Moderator analyses revealed greater benefits (p < 0.05) of CBT on DS frequency for participants with more (≥22) symptoms (Modified PHQ-15) or ≥ 1 current (M.I.N.I.-confirmed) comorbid psychiatric diagnosis at baseline. The effect of CBT on PCS scores was moderated by gender; women did better than men in the CBT + SMC group. Predictors of improved outcome included: not receiving disability benefits, lower anxiety and/or depression scores (PCS, MCS, WSAS); shorter duration, younger age at DS onset, employment, fewer symptoms and higher educational qualification (PCS, WSAS); stronger belief in the diagnosis and in CBT as a "logical" treatment (MCS). Some variables that clinically might be expected to moderate/predict outcome (e.g., maladaptive personality traits, confidence in treatment) were not shown to be relevant. Patient complexity interacted with treatment. CBT was more likely to reduce DS frequency in those with greater comorbidity. Other patient characteristics predicted outcome regardless of the received intervention.

Identifiants

pubmed: 35617911
pii: S0022-3999(22)00206-9
doi: 10.1016/j.jpsychores.2022.110921
pii:
doi:

Banques de données

ISRCTN
['ISRCTN05681227']
ClinicalTrials.gov
['NCT02325544']

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110921

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

L H Goldstein (LH)

King's College London, Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, UK. Electronic address: Laura.goldstein@kcl.ac.uk.

E J Robinson (EJ)

King's College London, School of Population Health and Environmental Sciences, UK; Research Data and Statistics Unit, Royal Marsden Clinical Trials Unit, The Royal Marsden NHS Foundation Trust, Surrey, UK. Electronic address: emily.robinson@rmh.nhs.uk.

T Chalder (T)

King's College London, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, UK. Electronic address: trudie.chalder@kcl.ac.uk.

J Stone (J)

Centre for Clinical Brain Sciences, University of Edinburgh, UK. Electronic address: jon.stone@ed.ac.uk.

M Reuber (M)

Academic Neurology Unit, Royal Hallamshire Hospital, University of Sheffield, Sheffield, UK. Electronic address: m.reuber@sheffield.ac.uk.

N Medford (N)

South London and Maudsley NHS Foundation Trust, London, UK. Electronic address: nick.medford@slam.nhs.uk.

A Carson (A)

Centre for Clinical Brain Sciences, University of Edinburgh, UK. Electronic address: a.carson@ed.ac.uk.

M Moore (M)

Centre for Social Justice and Global Responsibility, School of Law and Social Sciences, London South Bank University, London, UK. Electronic address: EdMicheleMoore@gmail.com.

S Landau (S)

King's College London, Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, UK. Electronic address: sabine.landau@kcl.ac.uk.

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