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dc.contributor.authorCohen, ZD
dc.contributor.authorDeRubeis, RJ
dc.contributor.authorHayes, R
dc.contributor.authorWatkins, ER
dc.contributor.authorLewis, G
dc.contributor.authorByng, R
dc.contributor.authorByford, S
dc.contributor.authorCrane, C
dc.contributor.authorKuyken, W
dc.contributor.authorDalgleish, T
dc.contributor.authorSchweizer, S
dc.date.accessioned2022-06-28T12:31:21Z
dc.date.available2022-06-28T12:31:21Z
dc.date.issued2022-04-29
dc.identifier.issn2167-7026
dc.identifier.issn2167-7034
dc.identifier.urihttp://hdl.handle.net/10026.1/19351
dc.description.abstract

<jats:p> Depression is highly recurrent, even following successful pharmacological and/or psychological intervention. We aimed to develop clinical prediction models to inform adults with recurrent depression choosing between antidepressant medication (ADM) maintenance or switching to mindfulness-based cognitive therapy (MBCT). Using previously published data ( N = 424), we constructed prognostic models using elastic-net regression that combined demographic, clinical, and psychological factors to predict relapse at 24 months under ADM or MBCT. Only the ADM model (discrimination performance: area under the curve [AUC] = .68) predicted relapse better than baseline depression severity (AUC = .54; one-tailed DeLong’s test: z = 2.8, p = .003). Individuals with the poorest ADM prognoses who switched to MBCT had better outcomes compared with individuals who maintained ADM (48% vs. 70% relapse, respectively; superior survival times, z = −2.7, p = .008). For individuals with moderate to good ADM prognoses, both treatments resulted in similar likelihood of relapse. If replicated, the results suggest that predictive modeling can inform clinical decision-making around relapse prevention in recurrent depression. </jats:p>

dc.format.extent59-76
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherSAGE Publications
dc.subjectantidepressant medication
dc.subjectdepression
dc.subjectmindfulness-based cognitive therapy
dc.subjectprecision medicine
dc.subjectrelapse prevention
dc.titleThe Development and Internal Evaluation of a Predictive Model to Identify for Whom Mindfulness-Based Cognitive Therapy Offers Superior Relapse Prevention for Recurrent Depression Versus Maintenance Antidepressant Medication
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/36698442
plymouth.issue1
plymouth.volume11
plymouth.publisher-urlhttp://dx.doi.org/10.1177/21677026221076832
plymouth.publication-statusPublished
plymouth.journalClinical Psychological Science
dc.identifier.doi10.1177/21677026221076832
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Health
plymouth.organisational-group/Plymouth/Faculty of Health/Peninsula Medical School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA03 Allied Health Professions, Dentistry, Nursing and Pharmacy
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/FoH - Community and Primary Care
plymouth.organisational-group/Plymouth/Research Groups/Institute of Health and Community
plymouth.organisational-group/Plymouth/Research Groups/Institute of Translational and Stratified Medicine (ITSMED)
plymouth.organisational-group/Plymouth/Research Groups/Institute of Translational and Stratified Medicine (ITSMED)/CCT&PS
plymouth.organisational-group/Plymouth/Research Groups/Plymouth Institute of Health and Care Research (PIHR)
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.publisher.placeUnited States
dcterms.dateAccepted2022-01-11
dc.rights.embargodate2022-6-29
dc.identifier.eissn2167-7034
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1177/21677026221076832
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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