Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression : individual participant data meta-analysis
Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions..
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.
Errataetall: | |
---|---|
Medienart: |
E-Artikel |
Erscheinungsjahr: |
2019 |
---|---|
Erschienen: |
2019 |
Enthalten in: |
Zur Gesamtaufnahme - volume:365 |
---|---|
Enthalten in: |
BMJ (Clinical research ed.) - 365(2019) vom: 09. Apr., Seite l1476 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Levis, Brooke [VerfasserIn] |
---|
Links: |
---|
Themen: |
Comparative Study |
---|
Anmerkungen: |
Date Completed 18.04.2019 Date Revised 06.10.2023 published: Electronic ErratumIn: BMJ. 2019 Apr 12;365:l1781. - PMID 30979729 Citation Status MEDLINE |
---|
doi: |
10.1136/bmj.l1476 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM295889071 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM295889071 | ||
003 | DE-627 | ||
005 | 20231225084637.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2019 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1136/bmj.l1476 |2 doi | |
028 | 5 | 2 | |a pubmed24n0986.xml |
035 | |a (DE-627)NLM295889071 | ||
035 | |a (NLM)30967483 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Levis, Brooke |e verfasserin |4 aut | |
245 | 1 | 0 | |a Accuracy of Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression |b individual participant data meta-analysis |
264 | 1 | |c 2019 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 18.04.2019 | ||
500 | |a Date Revised 06.10.2023 | ||
500 | |a published: Electronic | ||
500 | |a ErratumIn: BMJ. 2019 Apr 12;365:l1781. - PMID 30979729 | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. | ||
520 | |a OBJECTIVE: To determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9) for screening to detect major depression | ||
520 | |a DESIGN: Individual participant data meta-analysis | ||
520 | |a DATA SOURCES: Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-February 2015) | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a 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 | ||
520 | |a REGISTRATION: PROSPERO CRD42014010673 | ||
650 | 4 | |a Comparative Study | |
650 | 4 | |a Journal Article | |
650 | 4 | |a Meta-Analysis | |
650 | 4 | |a Research Support, N.I.H., Extramural | |
650 | 4 | |a Research Support, Non-U.S. Gov't | |
650 | 4 | |a Systematic Review | |
700 | 1 | |a Benedetti, Andrea |e verfasserin |4 aut | |
700 | 1 | |a Thombs, Brett D |e verfasserin |4 aut | |
700 | 0 | |a DEPRESsion Screening Data (DEPRESSD) Collaboration |e verfasserin |4 aut | |
700 | 1 | |a Riehm, Kira E |e investigator |4 oth | |
700 | 1 | |a Saadat, Nazanin |e investigator |4 oth | |
700 | 1 | |a Levis, Alexander W |e investigator |4 oth | |
700 | 1 | |a Azar, Marleine |e investigator |4 oth | |
700 | 1 | |a Rice, Danielle B |e investigator |4 oth | |
700 | 1 | |a Chiovitti, Matthew J |e investigator |4 oth | |
700 | 1 | |a Sanchez, Tatiana A |e investigator |4 oth | |
700 | 1 | |a Boruff, Jill |e investigator |4 oth | |
700 | 1 | |a Cuijpers, Pim |e investigator |4 oth | |
700 | 1 | |a Gilbody, Simon |e investigator |4 oth | |
700 | 1 | |a Ioannidis, John P A |e investigator |4 oth | |
700 | 1 | |a Kloda, Lorie A |e investigator |4 oth | |
700 | 1 | |a McMillan, Dean |e investigator |4 oth | |
700 | 1 | |a Patten, Scott B |e investigator |4 oth | |
700 | 1 | |a Shrier, Ian |e investigator |4 oth | |
700 | 1 | |a Ziegelstein, Roy C |e investigator |4 oth | |
700 | 1 | |a Akena, Dickens H |e investigator |4 oth | |
700 | 1 | |a Arroll, Bruce |e investigator |4 oth | |
700 | 1 | |a Ayalon, Liat |e investigator |4 oth | |
700 | 1 | |a Baradaran, Hamid R |e investigator |4 oth | |
700 | 1 | |a Baron, Murray |e investigator |4 oth | |
700 | 1 | |a Bombardier, Charles H |e investigator |4 oth | |
700 | 1 | |a Butterworth, Peter |e investigator |4 oth | |
700 | 1 | |a Carter, Gregory |e investigator |4 oth | |
700 | 1 | |a Chagas, Marcos H |e investigator |4 oth | |
700 | 1 | |a Chan, Juliana C N |e investigator |4 oth | |
700 | 1 | |a Clover, Kerrie |e investigator |4 oth | |
700 | 1 | |a Conwell, Yeates |e investigator |4 oth | |
700 | 1 | |a de Man-van Ginkel, Janneke M |e investigator |4 oth | |
700 | 1 | |a Delgadillo, Jaime |e investigator |4 oth | |
700 | 1 | |a Fann, Jesse R |e investigator |4 oth | |
700 | 1 | |a Fischer, Felix H |e investigator |4 oth | |
700 | 1 | |a Fung, Daniel |e investigator |4 oth | |
700 | 1 | |a Gelaye, Bizu |e investigator |4 oth | |
700 | 1 | |a Goodyear-Smith, Felicity |e investigator |4 oth | |
700 | 1 | |a Greeno, Catherine G |e investigator |4 oth | |
700 | 1 | |a Hall, Brian J |e investigator |4 oth | |
700 | 1 | |a Hambridge, John |e investigator |4 oth | |
700 | 1 | |a Harrison, Patricia A |e investigator |4 oth | |
700 | 1 | |a Härter, Martin |e investigator |4 oth | |
700 | 1 | |a Hegerl, Ulrich |e investigator |4 oth | |
700 | 1 | |a Hides, Leanne |e investigator |4 oth | |
700 | 1 | |a Hobfoll, Stevan E |e investigator |4 oth | |
700 | 1 | |a Hudson, Marie |e investigator |4 oth | |
700 | 1 | |a Inagaki, Masatoshi |e investigator |4 oth | |
700 | 1 | |a Ismail, Khalida |e investigator |4 oth | |
700 | 1 | |a Jetté, Nathalie |e investigator |4 oth | |
700 | 1 | |a Khamseh, Mohammad E |e investigator |4 oth | |
700 | 1 | |a Kiely, Kim M |e investigator |4 oth | |
700 | 1 | |a Kwan, Yunxin |e investigator |4 oth | |
700 | 1 | |a Liu, Shen-Ing |e investigator |4 oth | |
700 | 1 | |a Lotrakul, Manote |e investigator |4 oth | |
700 | 1 | |a Loureiro, Sonia R |e investigator |4 oth | |
700 | 1 | |a Löwe, Bernd |e investigator |4 oth | |
700 | 1 | |a Marsh, Laura |e investigator |4 oth | |
700 | 1 | |a McGuire, Anthony |e investigator |4 oth | |
700 | 1 | |a Mohd Sidik, Sherina |e investigator |4 oth | |
700 | 1 | |a Munhoz, Tiago N |e investigator |4 oth | |
700 | 1 | |a Muramatsu, Kumiko |e investigator |4 oth | |
700 | 1 | |a Osório, Flávia L |e investigator |4 oth | |
700 | 1 | |a Patel, Vikram |e investigator |4 oth | |
700 | 1 | |a Pence, Brian W |e investigator |4 oth | |
700 | 1 | |a Persoons, Philippe |e investigator |4 oth | |
700 | 1 | |a Picardi, Angelo |e investigator |4 oth | |
700 | 1 | |a Reuter, Katrin |e investigator |4 oth | |
700 | 1 | |a Rooney, Alasdair G |e investigator |4 oth | |
700 | 1 | |a Santos, Iná S |e investigator |4 oth | |
700 | 1 | |a Shaaban, Juwita |e investigator |4 oth | |
700 | 1 | |a Sidebottom, Abbey |e investigator |4 oth | |
700 | 1 | |a Simning, Adam |e investigator |4 oth | |
700 | 1 | |a Stafford, Lesley |e investigator |4 oth | |
700 | 1 | |a Sung, Sharon C |e investigator |4 oth | |
700 | 1 | |a Tan, Pei Lin Lynnette |e investigator |4 oth | |
700 | 1 | |a Turner, Alyna |e investigator |4 oth | |
700 | 1 | |a van der Feltz-Cornelis, Christina M |e investigator |4 oth | |
700 | 1 | |a van Weert, Henk C |e investigator |4 oth | |
700 | 1 | |a Vöhringer, Paul A |e investigator |4 oth | |
700 | 1 | |a White, Jennifer |e investigator |4 oth | |
700 | 1 | |a Whooley, Mary A |e investigator |4 oth | |
700 | 1 | |a Winkley, Kirsty |e investigator |4 oth | |
700 | 1 | |a Yamada, Mitsuhiko |e investigator |4 oth | |
700 | 1 | |a Zhang, Yuying |e investigator |4 oth | |
773 | 0 | 8 | |i Enthalten in |t BMJ (Clinical research ed.) |d 1988 |g 365(2019) vom: 09. Apr., Seite l1476 |w (DE-627)NLM012612685 |x 1756-1833 |7 nnns |
773 | 1 | 8 | |g volume:365 |g year:2019 |g day:09 |g month:04 |g pages:l1476 |
856 | 4 | 0 | |u http://dx.doi.org/10.1136/bmj.l1476 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 365 |j 2019 |b 09 |c 04 |h l1476 |