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ArticleEuropean archives of psychiatry and clinical neuroscience2026

Evaluating gender differences in depression screening: diagnostic accuracy and measurement invariance of the DESY-PC questionnaire in primary care.

Laura Schäffler, Alexander Hapfelmeier, Philipp Sterner, Markus Bühner, Klaus Linde, Jochen Gensichen, Gabriele Pitschel-Walz, Antonius Schneider, Clara Teusen

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Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Laura SchäfflerDepartment of Clinical Medicine, Institute of General Practice and Health Services Research, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany. l.schaeffler@gmx.de.
Alexander HapfelmeierDepartment of Clinical Medicine, Institute of General Practice and Health Services Research, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Philipp SternerDepartment of Psychology, LMU Munich, Munich, Germany.
Markus BühnerDepartment of Psychology, LMU Munich, Munich, Germany.
Klaus LindeDepartment of Clinical Medicine, Institute of General Practice and Health Services Research, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Jochen GensichenInstitute of General Practice and Family Medicine, University Hospital of the LMU Munich, Munich, Germany.
Gabriele Pitschel-WalzInstitute of General Practice and Family Medicine, University Hospital of the LMU Munich, Munich, Germany.
Antonius SchneiderDepartment of Clinical Medicine, Institute of General Practice and Health Services Research, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.
Clara TeusenDepartment of Clinical Medicine, Institute of General Practice and Health Services Research, TUM School of Medicine and Health, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances in depression diagnostics emphasize gender-specific evaluations to avoid measurement bias, given gender disparities in prevalence and symptom presentation. This study evaluated the psychometric performance of the newly developed "Questionnaire for the assessment of DEpression SYmptoms in Primary Care" (DESY-PC) in women and men.

methodsWe conducted a secondary data analysis of a diagnostic cross-sectional study involving 431 primary care patients. Current depression diagnosis was assessed using the Structured Clinical Interview for DSM-V disorders (SCID-V-CV) as the reference standard. Gender-specific diagnostic accuracy was evaluated using Receiver Operating Characteristic (ROC) analyses, including Area Under the Curve (AUC), sensitivity, and specificity. AUC values were compared to those of the commonly used PHQ-9 (Patient Health Questionnaire-9). Measurement invariance across genders was assessed by Multigroup Confirmatory Factor Analysis (Multigroup-CFA).

resultsAmong 431 participants (61% women, mean age 47.6 years), the DESY-PC demonstrated comparable diagnostic accuracy, with an AUC of 0.85 (95%CI: 0.80-0.91) for women and 0.90 (95%CI: 0.83-0.97) for men (p = 0.340). At the cut-off score of 16, sensitivity (women: 74%, men: 83%; p = 0.422) and specificity (women: 82%, men: 87%; p = 0.220) were comparable across genders. The PHQ-9 showed a significantly higher AUC for men (0.90) than for women (0.78; p = 0.048). Multigroup-CFA confirmed measurement invariance of the DESY-PC across genders.

conclusionThe DESY-PC demonstrated high and comparable diagnostic accuracy across genders and assessed the same constructs in women and men. These findings support its suitability as a gender-sensitive tool for depression screening in primary care.

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DepressionDiagnostic accuracyGenderMeasurement invariancePrimary care

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.