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

He, Chen, Levis, Brooke, Riehm, Kira E et al. (43 more authors) (2020) The Accuracy of the Patient Health Questionnaire-9 (PHQ-9) Algorithm for Screening to Detect Major Depression:An Individual Participant Data Meta-analysis. Psychotherapy and Psychosomatics. 25–37. ISSN 0033-3190

Metadata

Item Type: Article
Authors/Creators:
  • He, Chen
  • Levis, Brooke
  • Riehm, Kira E
  • Saadat, Nazanin
  • Levis, Alexander W
  • Azar, Marleine
  • Rice, Danielle B
  • Krishnan, Ankur
  • Wu, Yin
  • Sun, Ying
  • Imran, Mahrukh
  • Boruff, Jill
  • Cuijpers, Pim
  • Gilbody, Simon ORCID logo https://orcid.org/0000-0002-8236-6983
  • Ioannidis, John P.A.
  • Kloda, Lorie A
  • McMillan, Dean ORCID logo https://orcid.org/0000-0002-2901-8410
  • Patten, Scott B
  • Shrier, Ian
  • Ziegelstein, Roy C
  • Akena, Dickens H
  • Arroll, Bruce
  • Ayalon, Liat
  • Baradaran, Hamid R
  • Baron, Murray
  • Beraldi, Anna
  • Bombardier, Charles H
  • Butterworth, Peter
  • Carter, Gregory L
  • Chagas, Marcos H
  • Chan, Juliana C N
  • Cholera, Rushina
  • Clover, Kerrie
  • Conwell, Yeates
  • de Man-van Ginkel, Janneke M
  • Fann, Jesse R
  • Fischer, Felix H
  • Fung, Daniel
  • Gelaye, Bizu
  • Goodyear-Smith, Felicity
  • Greeno, Catherine G
  • Hall, Brian J
  • Harrison, Patricia A
  • Härter, Martin
  • Thombs, Brett D
  • Benedetti, Andrea
Copyright, Publisher and Additional Information:

© Karger, 2019. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.
Dates:
  • Published: January 2020
  • Published (online): 8 October 2019
  • Accepted: 17 July 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Hull York Medical School (York)
Depositing User: Pure (York)
Date Deposited: 14 Aug 2019 16:00
Last Modified: 10 Mar 2025 00:07
Published Version: https://doi.org/10.1159/000502294
Status: Published
Refereed: Yes
Identification Number: 10.1159/000502294
Open Archives Initiative ID (OAI ID):

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