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Title: Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews
Authors: Brooke Levis
Andrea Benedetti
Kira E. Riehm
Nazanin Saadat
Alexander W. Levis
Marleine Azar
Danielle B. Rice
Matthew J. Chiovitti
Tatiana A. Sanchez
Pim Cuijpers
Simon Gilbody
John P.A. Ioannidis
Lorie A. Kloda
Dean McMillan
Scott B. Patten
Ian Shrier
Russell J. Steele
Roy C. Ziegelstein
Dickens H. Akena
Bruce Arroll
Liat Ayalon
Hamid R. Baradaran
Murray Baron
Anna Beraldi
Charles H. Bombardier
Peter Butterworth
Gregory Carter
Marcos H. Chagas
Juliana C.N. Chan
Rushina Cholera
Neerja Chowdhary
Kerrie Clover
Yeates Conwell
Janneke M. De Man-Van Ginkel
Jaime Delgadillo
Jesse R. Fann
Felix H. Fischer
Benjamin Fischler
Daniel Fung
Bizu Gelaye
Felicity Goodyear-Smith
Catherine G. Greeno
Brian J. Hall
John Hambridge
Patricia A. Harrison
Ulrich Hegerl
Leanne Hides
Stevan E. Hobfoll
Marie Hudson
Thomas Hyphantis
Masatoshi Inagaki
Khalida Ismail
Nathalie Jetté
Mohammad E. Khamseh
Kim M. Kiely
Femke Lamers
Shen Ing Liu
Manote Lotrakul
Sonia R. Loureiro
Bernd Löwe
Laura Marsh
Anthony McGuire
Sherina Mohd Sidik
Tiago N. Munhoz
Kumiko Muramatsu
Flávia L. Osório
Vikram Patel
Brian W. Pence
Philippe Persoons
Angelo Picardi
Alasdair G. Rooney
Iná S. Santos
Juwita Shaaban
Abbey Sidebottom
Adam Simning
Lesley Stafford
Sharon Sung
Pei Lin Lynnette Tan
Alyna Turner
Christina M. Van Der Feltz-Cornelis
Henk C. Van Weert
Paul A. Vöhringer
Jennifer White
Mary A. Whooley
Kirsty Winkley
Mitsuhiko Yamada
Yuying Zhang
Brett D. Thombs
Melbourne School of Psychological Sciences
Melbourne School of Population and Global Health
Amsterdam Public Health
San Francisco VA Health Care System
Mackay Medical College
Calvary Mater Newcastle
Duke-NUS Medical School Singapore
City of Minneapolis
Niigata Seiryo University
Bar-Ilan University School of Social Work
Makerere University
Concordia University
University Medical Center Utrecht
Royal Women's Hospital, Carlton
Harvard School of Public Health
London School of Hygiene & Tropical Medicine
KU Leuven– University Hospital Leuven
University of Queensland
Mackay Memorial Hospital Taiwan
University of Edinburgh
Yong Loo Lin School of Medicine
University of Melbourne
Charité – Universitätsmedizin Berlin
Universiti Putra Malaysia
The University of North Carolina at Chapel Hill
KU Leuven
Iran University of Medical Sciences
Prince of Wales Hospital Hong Kong
University of Rochester Medical Center
University of California, San Francisco
Tufts University
Universidade de Macau
Lady Davis Institute for Medical Research
Okayama University Medical School
Technical University of Munich
Monash University
Deakin University
Rush University Medical Center
National Center of Neurology and Psychiatry Kodaira
University of Newcastle, Faculty of Health and Medicine
University of York
Saint Joseph's College of Maine
Faculty of Medicine, Ramathibodi Hospital, Mahidol University
University of Pittsburgh
University of Washington, Seattle
Universidade Federal de Pelotas
John Hunter Hospital
Stanford University
Universidad de Chile
King's College London
University of Newcastle, Australia
Istituto Superiore Di Sanita
Singapore Institute of Mental Health
Australian National University
Vrije Universiteit Amsterdam
Universidade de Sao Paulo - USP
Centre universitaire de santé McGill
Johns Hopkins Bloomberg School of Public Health
University of Auckland
Nanyang Technological University
Universitätsklinikum Hamburg-Eppendorf und Medizinische Fakultät
Panepistimion Ioanninon
Universitätsklinikum Leipzig und Medizinische Fakultät
Chinese University of Hong Kong
Harvard Medical School
School of Medical Sciences - Universiti Sains Malaysia
McGill University
Tan Tock Seng Hospital
Baylor College of Medicine
University of Calgary
TRANZO Scientific Center for Care and Wellbeing
University of Sheffield
Amsterdam UMC - University of Amsterdam
The Johns Hopkins School of Medicine
Clinical Psychiatrist
National Institute of Science and Technology
Clinical Centre of Excellence for Body
Allina Health
Public Health Foundation of India
Ministry of Economy
Schön Klinik Hamburg Eilbek
Keywords: Medicine
Issue Date: 1-Jun-2018
Citation: British Journal of Psychiatry. Vol.212, No.6 (2018), 377-385
Abstract: Copyright © 2018 The Royal College of Psychiatrists. Background: Different diagnostic interviews are used as reference standards for major depression classification in research. Semi-structured interviews involve clinical judgement, whereas fully structured interviews are completely scripted. The Mini International Neuropsychiatric Interview (MINI), a brief fully structured interview, is also sometimes used. It is not known whether interview method is associated with probability of major depression classification. Aims: To evaluate the association between interview method and odds of major depression classification, controlling for depressive symptom scores and participant characteristics. Method: Data collected for an individual participant data meta-analysis of Patient Health Questionnaire-9 (PHQ-9) diagnostic accuracy were analysed and binomial generalised linear mixed models were fit. Results: A total of 17 158 participants (2287 with major depression) from 57 primary studies were analysed. Among fully structured interviews, odds of major depression were higher for the MINI compared with the Composite International Diagnostic Interview (CIDI) (odds ratio (OR) = 2.10; 95% CI = 1.15-3.87). Compared with semi-structured interviews, fully structured interviews (MINI excluded) were non-significantly more likely to classify participants with low-level depressive symptoms (PHQ-9 scores ≤6) as having major depression (OR = 3.13; 95% CI = 0.98-10.00), similarly likely for moderate-level symptoms (PHQ-9 scores 7-15) (OR = 0.96; 95% CI = 0.56-1.66) and significantly less likely for high-level symptoms (PHQ-9 scores ≥16) (OR = 0.50; 95% CI = 0.26-0.97). Conclusions: The MINI may identify more people as depressed than the CIDI, and semi-structured and fully structured interviews may not be interchangeable methods, but these results should be replicated.
ISSN: 14721465
Appears in Collections:Scopus 2018

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