Mental Wellbeing Monitoring in a Sample of Emergency Medical Service Personnel

• 作者: Charles Van Wijk Frans Cronje Jack Meintjes
• 来源期刊: 职业病与环境医学(英文)
• 学科: 经济
• 关键词: Emergency Medical Service EMPLOYEES Internet Screening MENTAL Wellbeing PSYCHOLOGICAL DISTRESS
• 年，卷（期）: 2020,（1）
• 页码范围: 26-33
• 页数: 8页
• 分类号: F42

摘要

Background: There have been concerns regarding the mental wellbeing of emergency medical service staff, particularly when faced with multiple trauma exposures. This study aimed to describe a cross-sectional view of the mental wellbeing status of emergency medical service workers, as well as to comment on the usefulness of an electronic survey tool to reach staff that is distributed across large geographical areas. Methods: The data presented here are drawn from an anonymous, voluntary, electronic survey, made available via the internet, to emergency medical service workers in the Western Cape province of South Africa. This paper reports on four domain expressions of mental wellbeing, namely disordered mood, problematic substance use, post-traumatic stress disorder, and domestic discord. Results: Elevated rates were reported by this sample, across all four distress domains, i.e. mood disorder = 12.3%;problematic substance use = 14.9%;post-traumatic stress disorder = 11.9%;and domestic discord = 11.9%. These rates were generally similar to data from comparable emergency worker groups, and much higher than local population estimates. Conclusions: The data support earlier findings that emergency medical work is associated with increased risk for symptoms of psychological distress, which present a strong case for regular organizational monitoring of employees’ mental wellbeing. In this regard, a brief, internet delivered, survey-type tool showed promise for screening employees, in order to guide further streaming of distressed individuals towards appropriate support services. Further work is required to develop clear mechanisms for referral and intervention in order to optimize a confidential and supportive monitoring program.