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Validation of the Patient Health Questionnaire-9 for Major Depressive Disorder in the Occupational Health Setting
Authors:D Volker  M C Zijlstra-Vlasveld  E P M Brouwers  W A Homans  W H M Emons  C M van der Feltz-Cornelis
Institution:1.Trimbos-Institute, Netherlands Institute of Mental Health and Addiction,Utrecht,The Netherlands;2.Tranzo,Tilburg University,Tilburg,The Netherlands;3.Department of Methodology and Statistics,Tilburg University,Tilburg,The Netherlands;4.Top Clinical Centre for Body, Mind and Health,GGZ Breburg,Tilburg,The Netherlands;5.Bureau HHM,Enschede,The Netherlands
Abstract:Purpose Because of the increased risk of long-term sickness leave for employees with a major depressive disorder (MDD), it is important for occupational health professionals to recognize depression in a timely manner. The Patient Health Questionnaire-9 (PHQ-9) has proven to be a reliable and valid instrument for screening MDD, but has not been validated in the occupational health setting. The aim of this study was to validate the PHQ-9 for MDD within a population of employees on sickness leave by using the MINI-International Neuropsychiatric Interview (MINI) as a gold standard. Methods Participants were recruited in collaboration with the occupational health service. The study sample consisted of 170 employees on sickness leave between 4 and 26 weeks who completed the PHQ-9 and were evaluated with the MINI by telephone. Sensitivity, specificity, positive and negative predictive value, efficiency and 95 % confidence intervals (95 % CIs) were calculated for all possible cut-off values. A receiver operator characteristics (ROC) analysis was computed for PHQ-9 score versus the MINI. Results The optimal cut-off value of the PHQ-9 was 10. This resulted in a sensitivity of 86.1 % 95 % CI (69.7–94.8)] and a specificity of 78.4 % 95 % CI (70.2–84.8)]. Based on the ROC analysis, the area under the curve for the PHQ-9 was 0.90 SE = 0.02; 95 % CI (0.85–0.94)]. Conclusion The PHQ-9 shows good sensitivity and specificity as a screener for MDD within a population of employees on sickness leave.
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