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Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Wu Yin, Levis Brooke, Sun Ying, Krishnan Ankur, He Chen, Riehm Kira E., Rice Danielle B., Azar Marleine, Yan Xin Wei, Neupane Dipika, Bhandari Parash Mani, Imran Mahrukh, Chiovitti Matthew J., Saadat Nazanin, Boruff Jill T., Cuijpers Pim, Gilbody Simon, McMillan Dean, Ioannidis John P.A., Kloda Lorie A., Patten Scott B., Shrier Ian, Ziegelstein Roy C., Henry Melissa, Ismail Zahinoor, Loiselle Carmen G., Mitchell Nicholas D., Tonelli Marcello, Al-Adawi Samir, Beraldi Anna, Braeken Anna P.B.M., Büel-Drabe Natalie, Bunevicius Adomas, Carter Gregory, Chen Chih-Ken, Cheung Gary, Clover Kerrie, Conroy Ronán M., Cukor Daniel, da Rocha e Silva Carlos E., Dabscheck Eli, Daray Federico M., Douven Elles, Downing Marina G., Feinstein Anthony, Ferentinos Panagiotis P., Fischer Felix H., Flint Alastair J., Fujimori Maiko, Gallagher Pamela, Gandy Milena, Goebel Simone, Grassi Luigi, Härter Martin, Jenewein Josef, Jetté Nathalie, Julião Miguel, Kim Jae-Min, Kim Sung-Wan, Kjærgaard Marie, Köhler Sebastian, Loosman Wim L., Löwe Bernd, Martin-Santos Rocio, Massardo Loreto, Matsuoka Yutaka, Mehnert Anja, Michopoulos Ioannis, Misery Laurent, Navines Ricard, O'Donnell Meaghan L., Öztürk Ahmet, Peceliuniene Jurate, Pintor Luis, Ponsford Jennie L., Quinn Terence J., Reme Silje E., Reuter Katrin, Rooney Alasdair G., Sánchez-González Roberto, Schwarzbold Marcelo L., Senturk Cankorur Vesile, Shaaban Juwita, Sharpe Louise, Sharpe Michael, Simard Sébastien, Singer Susanne, Stafford Lesley, Stone Jon, Sultan Serge, Teixeira Antonio L., Tiringer Istvan, Turner Alyna, Walker Jane, Walterfang Mark, Wang Liang-Jen, White Jennifer, Wong Dana K., Benedetti Andrea et Thombs Brett D.. (2020). Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale – Depression subscale scores: An individual participant data meta-analysis of 73 primary studies. Journal of Psychosomatic Research, 129, p. 109892.

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URL officielle: http://doi.org/10.1016/j.jpsychores.2019.109892

Résumé

Objective: Two previous individual participant data meta-analyses (IPDMAs) found that different diagnostic interviews classify different proportions of people as having major depression overall or by symptom levels. We compared the odds of major depression classification across diagnostic interviews among studies that administered the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D).

Methods: Data accrued for an IPDMA on HADS-D diagnostic accuracy were analysed. We fit binomial generalized linear mixed models to compare odds of major depression classification for the Structured Clinical Interview for DSM (SCID), Composite International Diagnostic Interview (CIDI), and Mini International Neuropsychiatric Interview (MINI), controlling for HADS-D scores and participant characteristics with and without an interaction term between interview and HADS-D scores.

Results: There were 15,856 participants (1942 [12%] with major depression) from 73 studies, including 15,335 (97%) non-psychiatric medical patients, 164 (1%) partners of medical patients, and 357 (2%) healthy adults. The MINI (27 studies, 7345 participants, 1066 major depression cases) classified participants as having major depression more often than the CIDI (10 studies, 3023 participants, 269 cases) (adjusted odds ratio [aOR] = 1.70 (0.84, 3.43)) and the semi-structured SCID (36 studies, 5488 participants, 607 cases) (aOR = 1.52 (1.01, 2.30)). The odds ratio for major depression classification with the CIDI was less likely to increase as HADS-D scores increased than for the SCID (interaction aOR = 0.92 (0.88, 0.96)).

Conclusion: Compared to the SCID, the MINI may diagnose more participants as having major depression, and the CIDI may be less responsive to symptom severity.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:00223999
Volume:129
Pages:p. 109892
Version évaluée par les pairs:Oui
Date:2020
Identifiant unique:10.1016/j.jpsychores.2019.109892
Sujets:Sciences sociales et humaines > Sciences sociales > Psychologie
Sciences de la santé
Département, module, service et unité de recherche:Départements et modules > Département des sciences de la santé > Module de psychologie
Mots-clés:depressive disorders, diagnostic interviews, hospital anxiety and depression scale, individual participant data meta-analysis, major depression, troubles dépressif, entrevue diagnostique, dépression majeure
Déposé le:25 févr. 2021 19:55
Dernière modification:25 févr. 2021 19:55
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