Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140079
Title: Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews
Authors: Levis, Brooke
Benedetti, Andrea
Riehm, Kira E.
Saadat, Nazanin
Levis, Alexander W.
Azar, Marleine
Rice, Danielle B.
Chiovitti, Matthew J.
Sanchez, Tatiana A.
Cuijpers, Pim
Gilbody, Simon
Ioannidis, John P. A.
Kloda, Lorie A.
McMillan, Dean
Patten, Scott B.
Shrier, Ian
Steele, Russell J.
Ziegelstein, Roy C.
Akena, Dickens H.
Arroll, Bruce
Ayalon, Liat
Baradaran, Hamid R.
Baron, Murray
Beraldi, Anna
Bombardier, Charles H.
Butterworth, Peter
Carter, Gregory
Chagas, Marcos H.
Chan, Juliana C. N.
Cholera, Rushina
Chowdhary, Neerja
Clover, Kerrie
Conwell, Yeates
de Man-van Ginkel, Janneke M.
Delgadillo, Jaime
Fann, Jesse R
Fischer, Felix H
Fischler, Benjamin
Fung, Daniel
Gelaye, Bizu
Goodyear-Smith, Felicity
Greeno, Catherine G.
Hall, Brian J.
Hambridge, John
Harrison, Patricia A.
Hegerl, Ulrich
Hides, Leanne
Hobfoll, Stevan E.
Hudson, Marie
Hyphantis, Thomas
Inagaki, Masatoshi
Ismail, Khalida
Jetté, Nathalie
Khamseh, Mohammad E.
Kiely, Kim M.
Lamers, Femke
Liu, Shen-Ing
Lotrakul, Manote
Loureiro, Sonia R.
Löwe, Bernd
Marsh, Laura
McGuire, Anthony
Mohd Sidik, Sherina
Munhoz, Tiago N.
Muramatsu, Kumiko
Osório, Flávia L.
Patel, Vikram
Pence, Brian W.
Persoons, Philippe
Picardi, Angelo
Rooney, Alasdair G.
Santos, Iná S.
Shaaban, Juwita
Sidebottom, Abbey
Simning, Adam
Stafford, Lesley
Sung, Sharon
Tan, Lynnette Pei Lin
Turner, Alyna
van der Feltz-Cornelis, Christina M.
van Weert, Henk C.
Vöhringer, Paul A.
White, Jennifer
Whooley, Mary A.
Winkley, Kirsty
Yamada, Mitsuhiko
Zhang, Yuying
Thombs, Brett D.
Keywords: Science::Medicine
Issue Date: 2018
Source: Levis, B., Benedetti, A., Riehm, K. E., Saadat, N., Levis, A. W., Azar, M., . . . Thombs, B. D. (2018). Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. The British Journal of Psychiatry, 212(6), 377-385. doi:10.1192/bjp.2018.54
Journal: The British Journal of Psychiatry
Abstract: 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.
URI: https://hdl.handle.net/10356/140079
ISSN: 0007-1250
DOI: 10.1192/bjp.2018.54
Rights: © 2018 The Royal College of Psychiatrists. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:LKCMedicine Journal Articles

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