The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis

He, C, Levis, B, Riehm, KE, Saadat, N, Levis, AW, Azar, M, Rice, DB, Krishnan, A, Wu, Y, Sun, Y, Imran, M, Boruff, J, Cuijpers, P, Gilbody, S, Ioannidis, JPA, Kloda, LA, McMillan, D, Patten, SB, Shrier, I, Ziegelstein, RC and Turner, Alyna 2020, The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis, Psychotherapy and Psychosomatics, vol. 89, pp. 25-37, doi: 10.1159/000502294.


Title The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis
Author(s) He, C
Levis, B
Riehm, KE
Saadat, N
Levis, AW
Azar, M
Rice, DB
Krishnan, A
Wu, Y
Sun, Y
Imran, M
Boruff, J
Cuijpers, P
Gilbody, S
Ioannidis, JPA
Kloda, LA
McMillan, D
Patten, SB
Shrier, I
Ziegelstein, RC
Turner, AlynaORCID iD for Turner, Alyna orcid.org/0000-0001-7389-2546
Journal name Psychotherapy and Psychosomatics
Volume number 89
Start page 25
End page 37
Total pages 13
Publisher Karger
Place of publication Basel, Switzerland
Publication date 2020
ISSN 0033-3190
1423-0348
Keyword(s) Depression
Diagnostic accuracy
Meta-analysis
Patient Health Questionnaire-9
Screening
Language eng
DOI 10.1159/000502294
Indigenous content off
Field of Research 1701 Psychology
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30131973

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
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