Chen HeBrooke LevisKira E. RiehmNazanin SaadatAlexander W. LevisMarleine AzarDanielle B. RiceAnkur KrishnanYin WuYing SunMahrukh ImranJill BoruffPim CuijpersSimon GilbodyJohn P.A. IoannidisLorie A. KlodaDean McMillanScott B. PattenIan ShrierRoy C. ZiegelsteinDickens H. AkenaBruce ArrollLiat AyalonHamid R. BaradaranMurray BaronAnna BeraldiCharles H. BombardierPeter ButterworthGregory CarterMarcos Hortes Nisihara ChagasJuliana C.N. ChanRushina CholeraKerrie CloverYeates ConwellJanneke M. De Man-Van GinkelJesse R. FannFelix H. FischerDaniel FungBizu GelayeFelicity Goodyear-SmithCatherine G. GreenoBrian J. HallPatricia A. HarrisonMartin HärterUlrich HegerlLeanne HidesStevan E. HobfollMarie HudsonThomas N. HyphantisMasatoshi InagakiKhalida IsmailNathalie JettéMohammad E. KhamsehKim M. KielyYunxin KwanFemke LamersShen Ing LiuManote LotrakulSonia R. LoureiroBernd LöweLaura MarshAnthony McGuireSherina Mohd-SidikTiago N. MunhozKumiko MuramatsuFlávia L. OsórioVikram PatelBrian W. PencePhilippe PersoonsAngelo PicardiKatrin ReuterAlasdair G. RooneyIná S. Da Silva Dos SantosJuwita ShaabanAbbey SidebottomAdam SimningLesley StaffordSharon SungPei Lin Lynnette TanAlyna TurnerHenk C.P.M. Van WeertJennifer WhiteMary A. WhooleyKirsty WinkleyMitsuhiko YamadaBrett D. ThombsAndrea BenedettiMelbourne InstituteMelbourne School of Psychological SciencesSan Francisco VA Health Care SystemMackay Medical CollegeCalvary Mater NewcastleDuke-NUS Medical School SingaporeCity of MinneapolisHunter Medical Research Institute, AustraliaNiigata Seiryo UniversityBar-Ilan University School of Social WorkMakerere UniversityConcordia UniversityUniversity Medical Center UtrechtRoyal Women's Hospital, CarltonHarvard T.H. Chan School of Public HealthKU Leuven– University Hospital LeuvenUniversity of QueenslandMackay Memorial Hospital TaiwanUniversity of New South Wales (UNSW) AustraliaUniversity of EdinburghYong Loo Lin School of MedicineShimane UniversityCharité – Universitätsmedizin BerlinUniversiti Putra MalaysiaThe University of North Carolina at Chapel HillKU LeuvenIran University of Medical SciencesPrince of Wales Hospital Hong KongUniversity of Rochester Medical CenterUniversity of California, San FranciscoNeuroscience Research AustraliaUniversidade de MacauLady Davis Institute for Medical ResearchUNC School of MedicineTechnical University of MunichMonash UniversityDeakin UniversityNational Center of Neurology and Psychiatry KodairaUniversity of Newcastle, Faculty of Health and MedicineUniversity of YorkSaint Joseph's College of MaineFaculty of Medicine, Ramathibodi Hospital, Mahidol UniversityUniversity of AberdeenUniversity of PittsburghUniversity of Washington, SeattleUniversidade Federal de PelotasIcahn School of Medicine at Mount SinaiStanford UniversityKing's College LondonIstituto Superiore Di SanitaSingapore Institute of Mental HealthAustralian National UniversityVrije Universiteit AmsterdamGoethe-Universität Frankfurt am MainCentre universitaire de santé McGillJohns Hopkins Bloomberg School of Public HealthUniversity of AucklandNanyang Technological UniversityUniversitätsklinikum Hamburg-Eppendorf und Medizinische FakultätPanepistimion IoanninonChinese University of Hong KongHarvard Medical SchoolSchool of Medical Sciences - Universiti Sains MalaysiaMcGill UniversityTan Tock Seng HospitalBaylor College of MedicineUniversity of CalgaryAmsterdam UMC - University of AmsterdamJohns Hopkins School of MedicinePrivate Practice for Psychotherapy and Psycho-oncologySTAR-StressNational Institute of Science and TechnologyAllina Health2020-03-262020-03-262020-01-01Psychotherapy and Psychosomatics. Vol.89, No.1 (2020), 25-3714230348003331902-s2.0-85073678831https://repository.li.mahidol.ac.th/handle/123456789/53889© 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.Mahidol UniversityMedicinePsychologyArticleSCOPUS10.1159/000502294