Diagnostic accuracy of the online Patient Health Questionnaire-9 and its abbreviated versions, the PHQ-8 and PHQ-2, for detecting major depressive disorder: research paper

Background - The Patient Health Questionnaire-9 (PHQ-9) and its abbreviated versions, the PHQ-8 and the PHQ-2, are frequently used as online depression screeners. Their accuracy to detect major depressive disorder (MDD) has been examined in only a limited number of studies in student samples. - Obje...

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Main Authors: Thake, Moritz (Author) , Sikorski, Franziska (Author) , Löwe, Bernd (Author) , Kohlmann, Sebastian (Author)
Format: Article (Journal)
Language:English
Published: 15 December 2025
In: Journal of affective disorders
Year: 2025, Volume: 391, Pages: 1-9
ISSN:1573-2517
DOI:10.1016/j.jad.2025.119926
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.jad.2025.119926
Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S0165032725013680
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Author Notes:Moritz Thake, Franziska Sikorski, Bernd Löwe, Sebastian Kohlmann
Description
Summary:Background - The Patient Health Questionnaire-9 (PHQ-9) and its abbreviated versions, the PHQ-8 and the PHQ-2, are frequently used as online depression screeners. Their accuracy to detect major depressive disorder (MDD) has been examined in only a limited number of studies in student samples. - Objective - Assessment of the diagnostic accuracy of PHQ-9, PHQ-8 and PHQ-2 to detect MDD. - Methods - A general online population sample was recruited through traditional and social media campaigns, print advertisement in public areas of several German cities and via a nationwide online access survey panel. Participants, aged 18 years or above, completed the PHQ-9 online and were assessed for MDD via telephone using the Structured Clinical Interview for DSM-5 Disorders. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values, and the area under the curve (AUC) were calculated in a cross-sectional design to assess diagnostic accuracy. - Results - In total, n = 790 participants (574 (72.7 %) female, age: 37.4 (SD = 13.9; range: 18-79)) were screened with the PHQ-9 (mean = 11.1; SD = 5.4) and interviewed via telephone using the SCID (41.2 % fulfilling the criterion of MDD). The optimal cut-off was 11 points for the PHQ-9 (sensitivity: 0.77; specificity: 0.68; AUC: 0.80; NPV: 0.81; PPV: 0.63), 11 points for the PHQ-8 (sensitivity: 0.74; specificity: 0.71; AUC: 0.79; NPV: 0.79; PPV: 0.64) and 3 points for the PHQ-2 (sensitivity: 0.68; specificity: 0.74; AUC: 0.76; NPV: 0.77; PPV: 0.65). Descriptively, age or gender had limited impact on diagnostic accuracy. - Conclusions - In conclusion, the online version of the PHQ-9, PHQ-8, and PHQ-2 show moderate to good diagnostic accuracy to detect MDD. Still, screening results should be interpreted with caution as a number of cases are likely to be either missed or incorrectly identified.
Item Description:Online verfügbar: 14. Juli 2025, Artikelversion: 21. Juli 2025
Gesehen am 27.11.2025
Physical Description:Online Resource
ISSN:1573-2517
DOI:10.1016/j.jad.2025.119926