From the College of Nursing, The Ohio State University, Columbus, Ohio (Dr Tucker, Dr Melnyk, Ms L. Corona, Ms Roberts); and Fisher College of Business, The Ohio State University, Columbus, Ohio (Dr C. Corona).
J Occup Environ Med. 2022 Jul 1;64(7):607-613. doi: 10.1097/JOM.0000000000002538. Epub 2022 May 4.
This study aimed to examine relationships among worked hours, stress, sleep hours, burnout, posttraumatic stress disorder (PTSD), anxiety, and depression reported by academic medical center employees.
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.
Eighty percent of participants reported ( n = 693) medium/high stress, 58% reported burnout, 37%/26% screened positive for anxiety/depression, and 14% reported PTSD. Structural equation modeling 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.
Workplace self-screening tools can guide employee mental health self-assessment, self-help programs, and professional resources, while also informing targets for employer programs.
本研究旨在探讨学术医疗中心员工的工作时间、压力、睡眠时间、倦怠、创伤后应激障碍（PTSD）、焦虑和抑郁报告之间的关系。
员工完成了一项匿名的电子心理健康调查，其中包括自动化反馈的自助和专业当地资源。使用结构方程模型对数据进行分析。
80%的参与者报告（n=693）中度/高度压力，58%报告倦怠，37%/26%筛查出焦虑/抑郁阳性，14%报告 PTSD。结构方程模型达到了高度显著的系数（P<0.05）和优秀的拟合优度，压力和 PTSD 阳性与焦虑、倦怠和抑郁有很强的直接关联。该模型解释了抑郁评分变化的 58%。仅临床医生模型显示 PTSD 影响更强，但工作时间没有影响。
工作场所自我筛查工具可以指导员工的心理健康自我评估、自助计划和专业资源，同时也为雇主计划指明目标。
