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Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

Brehaut Eliana, Neupane Dipika, Levis Brooke, Wu Yin, Sun Ying, Krishnan Ankur, He Chen, Bhandari Parash Mani, Negeri Zelalem, Riehm Kira E., Rice Danielle B., Azar Marleine, Yan Xin Wei, Imran Mahrukh, Chiovitti Matthew J., Saadat Nazanin, Cuijpers Pim, Ioannidis John P.A., Markham Sarah, Patten Scott B., Ziegelstein Roy C., Henry Melissa, Ismail Zahinoor, Loiselle Carmen G., Mitchell Nicholas D., Tonelli Marcello, Boruff Jill T., Kloda Lorie A., Beraldi Anna, Braeken Anna P.B.M., Carter Gregory, Clover Kerrie, Conroy Ronán M., Cukor Daniel, da Rocha e Silva Carlos E., De Souza Jennifer, Downing Marina G., Feinstein Anthony, Ferentinos Panagiotis P., Fischer Felix H., Flint Alastair J., Fujimori Maiko, Gallagher Pamela, Goebel Simone, Jetté Nathalie, Julião Miguel, Keller Monika, Kjærgaard Marie, Love Anthony W., Löwe Bernd, Martin-Santos Rocio, Michopoulos Ioannis, Navines Ricard, O’Rourke Suzanne J., Öztürk Ahmet, Pintor Luis, Ponsford Jennie L., Rooney Alasdair G., Sánchez-González Roberto, Schwarzbold Marcelo L., Sharpe Michael, Simard Sébastien, Singer Susanne, Stone Jon, Tung Ka-Yee, Turner Alyna, Walker Jane, Walterfang Mark, White Jennifer, Benedetti Andrea et Thombs Brett D.. (2020). Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis. Journal of Psychosomatic Research, 139, p. 110256.

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URL officielle: http://dx.doi.org/doi:10.1016/j.jpsychores.2020.11...

Résumé

Objectives: Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale – depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence.

Methods: We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated.

Results: 6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was −21.1% to 19.5%.

Conclusions: HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:00223999
Volume:139
Pages:p. 110256
Version évaluée par les pairs:Oui
Date:2020
Identifiant unique:10.1016/j.jpsychores.2020.110256
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:depression, hospital anxiety and depression scale, individual participant data, meta-analysis, screening tools, dépression, données individuelles des participants, méta-analyse, outil de dépistage
Déposé le:25 févr. 2021 20:47
Dernière modification:25 févr. 2021 20:47
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