J Emerg Nurs. 2020 Jul;46(4):488-496. doi: 10.1016/j.jen.2020.03.012. Epub 2020 May 29.
Respiratory rate is the first sign of patient decline. Monitoring and recording respiratory rate are essential nursing competencies. However, health care system emergency nurses' ability to differentiate normal from abnormal respiratory rates was unknown. We conducted a health care improvement project to assess emergency nurses' accuracy in "spot" and "formal" assessments, understand assessment practices, and determine competency and training needs.
In an anonymous cross-sectional survey, 78 emergency nurses from 1 health care system viewed 3 "spot" and 3 "formal" mock patient videos and answered questions in REDCap (Vanderbilt University, Nashville, TN). Accuracy (abnormal/normal), systematic error (bias), and random error (imprecision) were assessed. Descriptive statistics, bivariate analyses, and qualitative content analysis of open-ended questions were reported.
Most emergency nurses identified respiration as abnormal in spot and formal assessment videos. Accuracy was lowest for the video displaying 6 breaths per minute. Emergency nurses were more likely to identify abnormal breathing in all formal assessment videos (n = 59, 75.7%) than in all spot assessment videos (n = 41, 52.6%) (McNemar χ = 10.32, P = 0.001). Most emergency nurses reported a willingness to use formal assessments and thought that respiratory rate was a good indicator of a patient's condition. The barriers to accurate assessment included time limitations, prior training focusing on assessments lasting less than 30 seconds, and monitor and staff errors.
Respiratory rate assessment may be best assessed formally, particularly for bradypnea, where formal checks may outperform spot checks. The results present areas for improving respiratory rate assessment training and clinical practice.
呼吸频率是患者病情恶化的第一个迹象。监测和记录呼吸频率是基本的护理能力。然而,我们并不了解医疗保健系统急救护士区分正常和异常呼吸频率的能力。我们开展了一项医疗保健改进项目,以评估急救护士在“现场”和“正式”评估中的准确性,了解评估实践,并确定能力和培训需求。
在一项匿名的横断面调查中,来自 1 个医疗保健系统的 78 名急救护士观看了 3 个“现场”和 3 个“正式”模拟患者视频,并在 REDCap(田纳西州纳什维尔范德比尔特大学)中回答问题。评估准确性(异常/正常)、系统误差(偏差)和随机误差(不精确)。报告描述性统计数据、双变量分析和对开放式问题的定性内容分析。
大多数急救护士在现场和正式评估视频中识别出呼吸异常。每分钟 6 次呼吸的视频显示出最低的准确性。与所有现场评估视频(n=41,52.6%)相比,急救护士更有可能在所有正式评估视频(n=59,75.7%)中识别出异常呼吸(McNemar χ²=10.32,P=0.001)。大多数急救护士表示愿意使用正式评估,并认为呼吸频率是患者病情的良好指标。准确评估的障碍包括时间限制、以前的培训重点是持续时间少于 30 秒的评估,以及监测器和人员错误。
呼吸频率评估最好通过正式评估进行,特别是对于呼吸过缓,其中正式检查可能优于现场检查。结果提出了改进呼吸频率评估培训和临床实践的领域。