Jalal Sahbanathul Missiriya
Department of Nursing, College of Applied Medical Sciences, King Faisal University, Al-Ahsa, 31982, Saudi Arabia.
Adv Med Educ Pract. 2024 Sep 11;15:823-832. doi: 10.2147/AMEP.S469116. eCollection 2024.
The ability of healthcare nurses to monitor and interpret electrocardiograms (ECGs) is essential for the identification of heart-related abnormalities and rapid treatment initiation. Lack of expertise of nurses in this competency may cause confusion and complications. The aims of this study were to assess the competency levels of nurses in monitoring and interpreting ECGs and to associate the knowledge with the demographic variables.
A descriptive cross-sectional study design was used. A total of 156 nurses were selected from five hospitals located in Al-Ahsa, Saudi Arabia by computer generated simple randomization. A structured self-administered tool for knowledge and observational checklist for skills regarding ECG monitoring and interpretation was used. Tool validity and reliability were tested. Descriptive and inferential statistics, including the mean, standard deviation, and chi-square test, were applied. Statistical significance was set at p < 0.05.
Mean participant age was 32.59 ± 5.35 years, 30% of nurses had adequate knowledge, and the overall mean score was 17 ± 3.97. Seventy-two (46.2%) nurses correctly interpreted the ECG axis, and 76 (48.7%) could identify the Q-T interval on ECG strips. Significant associations of nurse knowledge level were detected with age (p < 0.0208), education (p < 0.0001), experience (p < 0.0001), nationality (p < 0.0002), and hospital type (p < 0.0018).
Most nurses had a low level of expertise in interpreting ECGs, and it will be crucial for them to improve their competence. Adequate training on ECG interpretation will enhance the proficiency of nurses and help provide appropriate care and life-saving measures to patients in emergency situations.
医护护士监测和解读心电图(ECG)的能力对于识别心脏相关异常和迅速启动治疗至关重要。护士在这一能力方面缺乏专业知识可能会导致混乱和并发症。本研究的目的是评估护士监测和解读心电图的能力水平,并将这些知识与人口统计学变量相关联。
采用描述性横断面研究设计。通过计算机生成的简单随机抽样从沙特阿拉伯艾哈萨的五家医院共选取了156名护士。使用了一个关于心电图监测和解读知识的结构化自填式工具以及技能观察清单。对工具的有效性和可靠性进行了测试。应用了描述性和推断性统计方法,包括均值、标准差和卡方检验。设定统计学显著性为p < 0.05。
参与者的平均年龄为32.59 ± 5.35岁,30%的护士有足够的知识,总体平均得分为17 ± 3.97。72名(46.2%)护士正确解读了心电图轴,76名(48.7%)能够识别心电图条带上的Q-T间期。发现护士知识水平与年龄(p < 0.0208)、教育程度(p < 0.0001)、经验(p < 0.0001)、国籍(p < 0.0002)和医院类型(p < 0.0018)存在显著关联。
大多数护士在解读心电图方面专业水平较低,提高他们的能力对其而言至关重要。进行关于心电图解读的充分培训将提高护士的专业水平,并有助于在紧急情况下为患者提供适当的护理和救生措施。