Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis.
Depression prevalence
Individual participant data meta-analysis
PHQ-9
SCID
Journal
Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
22
08
2019
revised:
08
02
2020
accepted:
18
02
2020
pubmed:
28
2
2020
medline:
28
1
2021
entrez:
28
2
2020
Statut:
ppublish
Résumé
Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence. Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status. A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%). PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.
Identifiants
pubmed: 32105798
pii: S0895-4356(19)30735-8
doi: 10.1016/j.jclinepi.2020.02.002
pii:
doi:
Types de publication
Comparative Study
Journal Article
Meta-Analysis
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
115-128.e1Subventions
Organisme : CIHR
ID : PJT-162206
Pays : Canada
Organisme : AHRQ HHS
ID : R36 HS018246
Pays : United States
Organisme : NIMH NIH HHS
ID : T32 MH014592
Pays : United States
Organisme : Medical Research Council
ID : MR/J000914/1
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : K07 CA093512
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA021661
Pays : United States
Organisme : Department of Health
ID : RP-PG-0606-1142
Pays : United Kingdom
Organisme : NIGMS NIH HHS
ID : T32 GM007356
Pays : United States
Organisme : MRF
ID : MRF_C0396
Pays : United Kingdom
Organisme : NIMH NIH HHS
ID : R24 MH071604
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180868
Pays : United States
Organisme : CIHR
ID : KRS-134297
Pays : Canada
Organisme : CIHR
ID : PCG-155468
Pays : Canada
Organisme : NIMH NIH HHS
ID : T32 MH103210
Pays : United States
Organisme : NCIPC CDC HHS
ID : R49 CE002093
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH069666
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA037422
Pays : United States
Organisme : CIHR
ID : THC-135234
Pays : Canada
Organisme : NCI NIH HHS
ID : U10 CA180822
Pays : United States
Organisme : NIMH NIH HHS
ID : R34 MH072925
Pays : United States
Organisme : NIMH NIH HHS
ID : K02 MH065919
Pays : United States
Organisme : NICHD NIH HHS
ID : R01 HD039415
Pays : United States
Organisme : NCRR NIH HHS
ID : TL1 RR024135
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK050456
Pays : United States
Informations de copyright
Copyright © 2020 Elsevier Inc. All rights reserved.