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Get Free AccessBackground: 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.
Brooke Levis, Andrea Benedetti, Kira E. Riehm, Navid Saadat, Alexander W. Levis, Marleine Azar, Danielle B. Rice, Matthew J. Chiovitti, Tiago Arruda Sanchez, Pim Cuijpers, Simon Gilbody, John P A Ioannidis, Lorie A. Kloda, Dean McMillan, Scott B. Patten, Ian Shrier, R. Steele, Roy C. Ziegelstein, Dickens H. Akena, Bruce Arroll, Liat Ayalon, Hamid Reza Baradaran, Murray Baron, Anna Beraldi, Charles H. Bombardier, Peter Butterworth, G Carter, Marcos Hortes Nisihara Chagas, Juliana C.N. Chan, Rushina Cholera, Neerja Chowdhary, Kerrie Clover, Yeates Conwell, Janneke M. de Man‐van Ginkel, J.A. Delgadillo, Jesse R. Fann, F.H Fischer, Benjamin Fischler, David Fung, Bizu Gelaye, Felicity Goodyear‐Smith, Catherine G. Greeno, B.J Hall, J Hambridge, P. A. Harrison, Ulrich Hegerl, Leanne Hides, Stevan E. Hobfoll, Marie Hudson, Thomas Hyphantis, Masatoshi Inagaki, Khalida Ismail, Nathalie Jetté, Mohamad Ebrahim Khamseh, Kim M. Kiely, Femke Lamers, Shuang Liu, Manote Lotrakul, Sônia Regina Loureiro, Bernd Löwe, Laura Marsh, Anthony McGuire, Sherina Mohd Sidik, Tiago N. Munhoz, Kumiko Muramatsu, Flávia de Lima Osório, Vikram Patel, B.W Pence, Philippe Persoons, Angelo Picardi, Alasdair G Rooney, Iná S. Santos, Juwita Shaaban, Abbey Sidebottom, Adam Simning, Lesley Stafford, Sharon C. Sung, Pei Lin Lynnette Tan, Alyna Turner, Christina M. van der Feltz‐Cornelis, Henk van Weert, Paul A. Vöhringer, Jennifer White, Mary A. Whooley, Kirsty Winkley, Mitsuhiko Yamada, Yao Zhang, Brett D. Thombs (2018). Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. , DOI: https://doi.org/10.17615/zrfp-g315.
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Type
Article
Year
2018
Authors
88
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.17615/zrfp-g315
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