Browsing by Author "Thomas N. Hyphantis"

Filter results by typing the first few letters
Now showing 1 - 1 of 1
  • No Thumbnail Available
    PublicationMetadata only
    The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis
    (2020-01-01) Chen He; Brooke Levis; Kira E. Riehm; Nazanin Saadat; Alexander W. Levis; Marleine Azar; Danielle B. Rice; Ankur Krishnan; Yin Wu; Ying Sun; Mahrukh Imran; Jill Boruff; Pim Cuijpers; Simon Gilbody; John P.A. Ioannidis; Lorie A. Kloda; Dean McMillan; Scott B. Patten; Ian Shrier; Roy C. Ziegelstein; Dickens H. Akena; Bruce Arroll; Liat Ayalon; Hamid R. Baradaran; Murray Baron; Anna Beraldi; Charles H. Bombardier; Peter Butterworth; Gregory Carter; Marcos Hortes Nisihara Chagas; Juliana C.N. Chan; Rushina Cholera; Kerrie Clover; Yeates Conwell; Janneke M. De Man-Van Ginkel; Jesse R. Fann; Felix H. Fischer; Daniel Fung; Bizu Gelaye; Felicity Goodyear-Smith; Catherine G. Greeno; Brian J. Hall; Patricia A. Harrison; Martin Härter; Ulrich Hegerl; Leanne Hides; Stevan E. Hobfoll; Marie Hudson; Thomas N. Hyphantis; Masatoshi Inagaki; Khalida Ismail; Nathalie Jetté; Mohammad E. Khamseh; Kim M. Kiely; Yunxin Kwan; Femke Lamers; Shen Ing Liu; Manote Lotrakul; Sonia R. Loureiro; Bernd Löwe; Laura Marsh; Anthony McGuire; Sherina Mohd-Sidik; Tiago N. Munhoz; Kumiko Muramatsu; Flávia L. Osório; Vikram Patel; Brian W. Pence; Philippe Persoons; Angelo Picardi; Katrin Reuter; Alasdair G. Rooney; Iná S. Da Silva Dos Santos; Juwita Shaaban; Abbey Sidebottom; Adam Simning; Lesley Stafford; Sharon Sung; Pei Lin Lynnette Tan; Alyna Turner; Henk C.P.M. Van Weert; Jennifer White; Mary A. Whooley; Kirsty Winkley; Mitsuhiko Yamada; Brett D. Thombs; Andrea Benedetti; Melbourne Institute; Melbourne School of Psychological Sciences; San Francisco VA Health Care System; Mackay Medical College; Calvary Mater Newcastle; Duke-NUS Medical School Singapore; City of Minneapolis; Hunter Medical Research Institute, Australia; Niigata Seiryo University; Bar-Ilan University School of Social Work; Makerere University; Concordia University; University Medical Center Utrecht; Royal Women's Hospital, Carlton; Harvard T.H. Chan School of Public Health; KU Leuven– University Hospital Leuven; University of Queensland; Mackay Memorial Hospital Taiwan; University of New South Wales (UNSW) Australia; University of Edinburgh; Yong Loo Lin School of Medicine; Shimane University; Charité – Universitätsmedizin Berlin; Universiti Putra Malaysia; The University of North Carolina at Chapel Hill; KU Leuven; Iran University of Medical Sciences; Prince of Wales Hospital Hong Kong; University of Rochester Medical Center; University of California, San Francisco; Neuroscience Research Australia; Universidade de Macau; Lady Davis Institute for Medical Research; UNC School of Medicine; Technical University of Munich; Monash University; Deakin University; National Center of Neurology and Psychiatry Kodaira; University of Newcastle, Faculty of Health and Medicine; University of York; Saint Joseph's College of Maine; Faculty of Medicine, Ramathibodi Hospital, Mahidol University; University of Aberdeen; University of Pittsburgh; University of Washington, Seattle; Universidade Federal de Pelotas; Icahn School of Medicine at Mount Sinai; Stanford University; King's College London; Istituto Superiore Di Sanita; Singapore Institute of Mental Health; Australian National University; Vrije Universiteit Amsterdam; Goethe-Universität Frankfurt am Main; Centre universitaire de santé McGill; Johns Hopkins Bloomberg School of Public Health; University of Auckland; Nanyang Technological University; Universitätsklinikum Hamburg-Eppendorf und Medizinische Fakultät; Panepistimion Ioanninon; Chinese University of Hong Kong; Harvard Medical School; School of Medical Sciences - Universiti Sains Malaysia; McGill University; Tan Tock Seng Hospital; Baylor College of Medicine; University of Calgary; Amsterdam UMC - University of Amsterdam; Johns Hopkins School of Medicine; Private Practice for Psychotherapy and Psycho-oncology; STAR-Stress; National Institute of Science and Technology; Allina Health
    © 2019 S. Karger AG, Basel. All rights reserved. Background: Screening for major depression with the Patient Health Questionnaire-9 (PHQ-9) can be done using a cutoff or the PHQ-9 diagnostic algorithm. Many primary studies publish results for only one approach, and previous meta-analyses of the algorithm approach included only a subset of primary studies that collected data and could have published results. Objective: To use an individual participant data meta-analysis to evaluate the accuracy of two PHQ-9 diagnostic algorithms for detecting major depression and compare accuracy between the algorithms and the standard PHQ-9 cutoff score of ≥10. Methods: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, Web of Science (January 1, 2000, to February 7, 2015). Eligible studies that classified current major depression status using a validated diagnostic interview. Results: Data were included for 54 of 72 identified eligible studies (n participants = 16,688, n cases = 2,091). Among studies that used a semi-structured interview, pooled sensitivity and specificity (95% confidence interval) were 0.57 (0.49, 0.64) and 0.95 (0.94, 0.97) for the original algorithm and 0.61 (0.54, 0.68) and 0.95 (0.93, 0.96) for a modified algorithm. Algorithm sensitivity was 0.22-0.24 lower compared to fully structured interviews and 0.06-0.07 lower compared to the Mini International Neuropsychiatric Interview. Specificity was similar across reference standards. For PHQ-9 cutoff of ≥10 compared to semi-structured interviews, sensitivity and specificity (95% confidence interval) were 0.88 (0.82-0.92) and 0.86 (0.82-0.88). Conclusions: The cutoff score approach appears to be a better option than a PHQ-9 algorithm for detecting major depression.