Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. (2nd May 2018)
- Record Type:
- Journal Article
- Title:
- Probability of major depression diagnostic classification using semi-structured versus fully structured diagnostic interviews. (2nd May 2018)
- Main 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, Pei Lin Lynnette
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.
… (more) - Abstract:
- 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 =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. Declaration of interest: Drs Jetté and Patten declare that they received a grant, outside the submitted work, from the Hotchkiss Brain Institute, which was jointly funded by the Institute and Pfizer. Pfizer was the original sponsor of the development of the PHQ-9, which is now in the public domain. Dr Chan is a steering committee member or consultant of Astra Zeneca, Bayer, Lilly, MSD and Pfizer. She has received sponsorships and honorarium for giving lectures and providing consultancy and her affiliated institution has received research grants from these companies. Dr Hegerl declares that within the past 3 years, he was an advisory board member for Lundbeck, Servier and Otsuka Pharma; a consultant for Bayer Pharma; and a speaker for Medice Arzneimittel, Novartis, and Roche Pharma, all outside the submitted work. Dr Inagaki declares that he has received grants from Novartis Pharma, lecture fees from Pfizer, Mochida, Shionogi, Sumitomo Dainippon Pharma, Daiichi-Sankyo, Meiji Seika and Takeda, and royalties from Nippon Hyoron Sha, Nanzando, Seiwa Shoten, Igaku-shoin and Technomics, all outside of the submitted work. Dr Yamada reports personal fees from Meiji Seika Pharma Co., Ltd., MSD K.K., Asahi Kasei Pharma Corporation, Seishin Shobo, Seiwa Shoten Co., Ltd., Igaku-shoin Ltd., Chugai Igakusha and Sentan Igakusha, all outside the submitted work. All other authors declare no competing interests. No funder had any role in the design and conduct of the study; collection, management, analysis and interpretation of the data; preparation, review or approval of the manuscript; and decision to submit the manuscript for publication. … (more)
- Is Part Of:
- British journal of psychiatry. Volume 212:Number 6(2018)
- Journal:
- British journal of psychiatry
- Issue:
- Volume 212:Number 6(2018)
- Issue Display:
- Volume 212, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 212
- Issue:
- 6
- Issue Sort Value:
- 2018-0212-0006-0000
- Page Start:
- 377
- Page End:
- 385
- Publication Date:
- 2018-05-02
- Subjects:
- Psychiatry -- Periodicals
Psychology, Pathological -- Periodicals
616.89005 - Journal URLs:
- http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&NEWS=n&PAGE=toc&D=ovft&AN=00002405-000000000-00000 ↗
https://www.cambridge.org/core/journals/the-british-journal-of-psychiatry ↗
http://bjp.rcpsych.org ↗ - DOI:
- 10.1192/bjp.2018.54 ↗
- Languages:
- English
- ISSNs:
- 0007-1250
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library HMNTS - ELD Digital store
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