Yen Po-Yin, Pearl Nicole, Jethro Cierra, Cooney Emily, McNeil Brittany, Chen Ling, Lopetegui Marcelo, Maddox Thomas M, Schallom Marilyn
Institute for Informatics, Washington University School of Medicine, St. Louis, MO, USA.
Goldfarb School of Nursing, Barnes-Jewish College, BJC HealthCare, St. Louis, MO, USA.
AMIA Annu Symp Proc. 2020 Mar 4;2019:952-961. eCollection 2019.
As health IT has become overloaded with patient information, provider burnout and stress has accelerated. Studies have shown that EHR usage leads to heightened cognitive workload for nurses, and increases in cognitive workload can result in stronger feelings of exhaustion and burnout. We conducted a time motion study in an oncology division to examine the relationships between nurses' perceived workload, stress measured by blood pulse wave (BPw), and their time spent on nursing activities, and to identify stress associated with EHR use. We had a total of 33 observations from 7 nurses. We found that EHR-related stress is associated with nurses' perceived physical demand and frustration. We also found that nurses' perceived workload is a strong predictor of nurses' stress as well as how they spent time with their patients. They also experienced higher perceived mental demand, physical demand, and temporal demand when they were assigned to more patients, regardless of patient acuity. Our study presents a unique data triangulation approach from continuous stress monitoring, perceived workload, and a time motion study.
随着健康信息技术承载的患者信息过多,医疗服务提供者的职业倦怠和压力加剧。研究表明,电子健康记录(EHR)的使用会增加护士的认知工作量,而认知工作量的增加会导致更强烈的疲惫和倦怠感。我们在一个肿瘤科室进行了一项时间动作研究,以检查护士感知到的工作量、通过脉搏波(BPw)测量的压力与他们在护理活动上花费的时间之间的关系,并确定与使用EHR相关的压力。我们共对7名护士进行了33次观察。我们发现,与EHR相关的压力与护士感知到的身体需求和挫折感有关。我们还发现,护士感知到的工作量是护士压力以及他们与患者相处时间的有力预测指标。无论患者病情严重程度如何,当给他们分配更多患者时,他们还会感受到更高的心理需求、身体需求和时间需求。我们的研究提出了一种独特的数据三角测量方法,该方法来自连续压力监测、感知工作量和时间动作研究。