A Model of Depression in University Faculty, Staff, and Healthcare Workers Using an Automated Mental Health Screening Tool

Source avec lien : Journal of Occupational and Environmental Medicine, (En ligne). 10.1097/JOM.0000000000002538

L’objectif de cette étude est d’examiner les relations entre les heures de travail, le stress, les heures de sommeil, le burnout, le PTSD, l’anxiété et la dépression rapportés par les employés des centres médicaux universitaires.

Objective:  Examine relationships among worked hours, stress, sleep hours, burnout, PTSD, anxiety, and depression reported by academic medical center employees. Methods:  Employees completed an anonymous electronic mental health survey with automated feedback that included self-help and professional local resources. Data were analyzed using structural equation modeling (SEM). Results:  80% of participants reported (n=693) med/high stress, 58% reported burnout, 37%/26% screened positive for anxiety/depression, and 14% reported PTSD. SEM attained highly significant coefficients (p < 0.05) and excellent goodness-of-fit, with strong stress and PTSD positive direct associations with anxiety, burnout, and depression. The model explained 58% of variation in depression scores. A clinician only model demonstrated stronger PTSD effects, but no work hours effects. Conclusion:  Workplace self-screening tools can guide employee mental health self-assessment, self-help programs, and professional resources; while also informing targets for employer programs. Consultez la page de l’article

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