- Title
- The Accuracy of the Patient Health Questionnaire-9 Algorithm for Screening to Detect Major Depression: An Individual Participant Data Meta-Analysis
- Creator
- He, Chen; Levis, Brooke; Riehm, Kira E.; Saadat, Nazanin; Levis, Alexander W.; Azar, Marleine; Rice, Danielle B.; Krishnan, Ankur; Wu, Yin; Sun, Ying; Imran, Mahrukh; Boruff, Jill; Cuijpers, Pim; Gilbody, Simon; Ioannidis, John P. A.; Kloda, Lorie A.; McMillan, Dean; Patten, Scott B.; Shrier, Ian; Ziegelstein, Roy C.; Carter, Gregory; Clover, Kerrie; Turner, Alyna; Akena, Dickens H.; Arroll, B; Ayalon, L; Baradaran, HR; Baron, M; Beraldi, A; Bombardier, CH; Butterworth, P; Chagas, MHN; Chan, JCN; Cholera, R; Conwell, Y; De Man-Van Ginkel, JM; Fann, JR; Fischer, FH; Fung, D; Gelaye, B; Goodyear-Smith, F; Greeno, CG; Hall, BJ; Harrison, PA; Härter, M; Hegerl, U; Hides, L; Hobfoll, SE; Hudson, M; Hyphantis, TN; Inagaki, Masatoshi; Ismail, K; Jetté, N; Khamseh, ME; Kiely, KM; Kwan, Y; Lamers, F; Liu, SI; Lotrakul, M; Loureiro, SR; Löwe, B; Marsh, L; McGuire, A; Mohd-Sidik, S; Munhoz, TN; Muramatsu, K; Osório, FL; Patel, V; Pence, BW; Persoons, P; Picardi, A; Reuter, K; Rooney, AG; Da Silva Dos Santos, IS; Shaaban, J; Sidebottom, A; Simning, A; Stafford, L; Sung, S; Tan, PLL; Van Weert, HCPM; White, J; Whooley, MA; Winkley, K; Yamada, M; Thombs, BD; Benedetti, A
- Relation
- ARC.FT130101444 http://purl.org/au-research/grants/arc/FT130101444
- Relation
- Psychotherapy and Psychosomatics Vol. 89, Issue 1, p. 25-37
- Publisher Link
- http://dx.doi.org/10.1159/000502294
- Publisher
- S. Karger AG
- Resource Type
- journal article
- Date
- 2020
- Description
- 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.
- Subject
- depression; diagnostic accuracy; meta-analysis; patient health questionnaire-9; screening
- Identifier
- http://hdl.handle.net/1959.13/1434844
- Identifier
- uon:39521
- Identifier
- ISSN:0033-3190
- Language
- eng
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