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Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression : individual participant data meta-analysis

Authors :
Akena, Dickens
Arroll, Bruce
Ayalon, Liat
Azar, Marleine
Baradaran, Hamid R
Baron, Murray
Benedetti, Andrea
Bombardier, Charles H
Boruff, Jill
Butterworth, Peter
Carter, Gregory
Chagas, Marcos H
Chan, Juliana C N
Chiovitti, Matthew J
Clover, Kerrie
Conwell, Yeates
Cuijpers, Pim
de Man-van Ginkel, Janneke M
Delgadillo, Jaime
Fann, Jesse R
Fischer, Felix H
Fung, Daniel
Gelaye, Bizu
Gilbody, Simon
Goodyear-Smith, Felicity
Greeno, Catherine G
Hall, Brian J
Hambridge, John
Harrison, Patricia A
Härter, Martin
Hegerl, Ulrich
Hides, Leanne
Hobfoll, Stevan E
Hudson, Marie
Inagaki, Masatoshi
Ioannidis, John P.A.
Ismail, Khalida
Jetté, Nathalie
Khamseh, Mohammad E
Kiely, Kim M
Kloda, Lorie A
Kwan, Yunxin
Levis, Alexander W
Levis, Brooke
Liu, Shen-Ing
Lotrakul, Manote
Loureiro, Sonia R
Löwe, Bernd
Marsh, Laura
McGuire, Anthony
McMillan, Dean
Mohd Sidik, Sherina
Munhoz, Tiago N
Muramatsu, Kumiko
Osório, Flávia L
Patel, Vikram
Patten, Scott B
Pence, Brian W
Persoons, Philippe
Picardi, Angelo
Rice, Danielle B
Riehm, Kira E
Reuter, Katrin
Rooney, Alasdair G
Saadat, Nazanin
Sanchez, Tatiana A
Santos, Iná S
Shaaban, Juwita
Sidebottom, Abbey
Simning, Adam
Shrier, Ian
Stafford, Lesley
Sung, Sharon C
Tan, Pei Lin Lynnette
Thombs, Brett D
Turner, Alyna
Van Der Feltz-Cornelis, Christina Maria
van Weert, Henk C P M
Vöhringer, Paul A
White, Jennifer
Whooley, Mary A
Winkley, Kirsty
Yamada, Mitsuhiko
Ziegelstein, Roy C
Zhang, Yuying
Publication Year :
2019

Abstract

OBJECTIVE: To determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression. DESIGN: Individual participant data meta-analysis. DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-February 2015). INCLUSION CRITERIA: Eligible studies compared PHQ-9 scores with major depression diagnoses from validated diagnostic interviews. Primary study data and study level data extracted from primary reports were synthesized. For PHQ-9 cut-off scores 5-15, bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, among studies that used semistructured diagnostic interviews, which are designed for administration by clinicians; fully structured interviews, which are designed for lay administration; and the Mini International Neuropsychiatric (MINI) diagnostic interviews, a brief fully structured interview. Sensitivity and specificity were examined among participant subgroups and, separately, using meta-regression, considering all subgroup variables in a single model. RESULTS: Data were obtained for 58 of 72 eligible studies (total n=17 357; major depression cases n=2312). Combined sensitivity and specificity was maximized at a cut-off score of 10 or above among studies using a semistructured interview (29 studies, 6725 participants; sensitivity 0.88, 95% confidence interval 0.83 to 0.92; specificity 0.85, 0.82 to 0.88). Across cut-off scores 5-15, sensitivity with semistructured interviews was 5-22% higher than for fully structured interviews (MINI excluded; 14 studies, 7680 participants) and 2-15% higher than for the MINI (15 studies, 2952 participants). Specificity was similar across diagnostic interviews. The PHQ-9 seems to be similarly sensitive but may be less specific for younger patients than for older patients; a cut-off score of 10 or above can be used regardless of age.. CONCLUSIONS: PHQ-9 sensitivity compared with semistructured diagnostic interviews was greater than in previous conventional meta-analyses that combined reference standards. A cut-off score of 10 or above maximized combined sensitivity and specificity overall and for subgroups. REGISTRATION: PROSPERO CRD42014010673.

Details

Language :
English
ISSN :
17561833
Database :
OpenAIRE
Accession number :
edsair.core.ac.uk....7e1721c49fb2aea614893c8e55001b6c