Tennessee Center for Nursing Advancement at East Tennessee State University, American Nursing Informatics Association, USA.
College of Nursing and Arnold School of Public Health at the University of South Carolina in Columbia, SC, USA.
Appl Nurs Res. 2023 Oct;73:151724. doi: 10.1016/j.apnr.2023.151724. Epub 2023 Aug 5.
The study aimed to explore the relationship between the unintended consequences of the electronic health record and cognitive load in emergency department nurses.
The study utilized a correlational quantitative design with a survey method approach. This study had a 30.4 % response rate for a total of 304 ED nurse participants who were members of a national ED nursing organization. Data analysis included descriptive and correlational measurements of two instruments.
In this study, there was a statistically significant, weak negative relationship between CL and UC-EHR in ED nurses, r (264) = -0.154, p 0.002. Although a significant weak relationship was identified in this study, the study variables, subscales, and demographic data groupings presented moderate-to-strong positive, statistically significant correlations. Descriptive frequency data unveiled EHR stimulated patient safety threats occurring once a week to monthly.
The novelty of this research study provided profound implications for the future of nursing practice, policy, and nursing science. EHR optimization to minimize patient safety risks is recommended with the inclusion of end-users from this study's identified subgroups. The researchers propose a reduction of EHR burden in nursing practice.
本研究旨在探讨电子病历的意外后果与急诊科护士认知负荷之间的关系。
本研究采用相关的定量设计和调查方法。这项研究的回复率为 30.4%，共有 304 名急诊科护士参加，他们均为国家急诊科护理组织的成员。数据分析包括对两种工具的描述性和相关性测量。
在这项研究中，急诊科护士的 CL 和 UC-EHR 之间存在统计学上显著的弱负相关，r（264）=-0.154，p<0.002。尽管在这项研究中发现了一个显著的弱关系，但研究变量、子量表和人口统计学数据分组呈现出中等至强的正相关，具有统计学意义。描述性频率数据显示，EHR 引发的患者安全威胁每周发生一次到每月发生一次。
这项研究的新颖性为护理实践、政策和护理科学的未来提供了深刻的启示。建议优化电子病历，以尽量减少患者安全风险，并纳入本研究确定的亚组的终端用户。研究人员提出在护理实践中减少 EHR 负担。
