Addressing Mental Health Needs Among Frontline Health Care Workers During the COVID-19 Pandemic

Traci N. Adams, Rosechelle M. Ruggiero,Carol S. North

Chest(2023)

引用 1|浏览2
暂无评分
摘要
Frontline workers experienced inordinate stress levels during the COVID-19 pandemic, as historically high volume and acuity in our hospitals was accompanied by concerns about our safety. We suggest that supporting frontline workers is an essential part of the pandemic response plan. We propose strategies to address the emotional and mental health (MH) needs of frontline health care workers during and after a pandemic that integrates knowledge from the disaster MH literature with the lessons learned during the COVID-19 pandemic. The disaster MH literature emphasizes distinguishing development of defined psychiatric disorders from emotional distress representing normative responses to disaster trauma and stress. Differen-tiating psychopathology from distress requires diagnostic assessment by a trained clinician. Where shortages of psychiatrists exist, primary care physicians may be trained to assist with disaster-related psychiatric assessment and initiation of treatment for psychopathologic fea-tures. The first component of a pandemic MH plan for critical frontline workers is to distinguish psychiatric illness from normative distress and to provide adequate treatment of psychopathologic symptoms. A second component of the comprehensive pandemic MH response is the provision of supportive care interventions and resources for normative distress. These interventions may include psychological first aid, individual or group counseling, broadening the pool of frontline workers, and buddy systems. Although these interventions were unknown or difficult to put in place at the beginning of the COVID-19 pandemic, we now have an opportunity to implement postpandemic MH response plans and to create response planning for subsequent COVID-19 surges integrating MH care into the front lines.
更多
查看译文
关键词
COVID-19,frontline health care workers,mental health
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要