1. Introduction
The prevalence of cardiac arrhythmias, electrical heart conduction system diseases, and other cardiovascular diseases (CVD), in general, is increasing worldwide [
1,
2,
3]. Cardiac arrhythmias are defined as a disturbance in the normal heart electrical conduction system, resulting in ineffective cardiac pumping, unstable hemodynamic, or cardiac arrest events [
2]. Cardiac arrhythmia is one of the leading causes of death globally. In 2016, the World Health Organization (WHO) estimated that 31% (17.9 million) of all global deaths were caused by CVDs [
4]. In Saudi Arabia, the WHO and the Ministry of Health (MOH) Statistical Yearbook revealed that cardiovascular diseases were responsible for 42% of non-communicable disease deaths in 2010 [
5].
Electrocardiogram (ECG) is a valuable non-invasive diagnostic tool for rapid identification of many heart diseases, especially electrico-cardiac arrhythmias and acute coronary syndrome [
6,
7,
8]. ECG monitoring is commonly indicated for patients who have a risk of arrhythmias or suspected ischemic heart disease [
9,
10]. Nurses play a critical role in providing care in critical care settings such as the emergency department (ED), intensive care unit (ICU), and cardiac care unit (CCU) [
11,
12]. Usually, patients in these departments require ECG monitoring.
Thus, they are required to have sufficient knowledge and skills to provide comprehensive and safe healthcare for all patients with different cardiac diseases, particularly the critically ill in hospitals [
13,
14].
Nurses usually are the first clinicians to look at the ECG results and to identify abnormalities in the ECG which may require immediate attention. Therefore, it is vital that nurses are competent to carry out an initial assessment and make an early identification and quick decisions to manage ECG abnormalities and activate appropriate emergency health teams or initiate first-line treatments [
15,
16,
17]. Nurses’ rapid and accurate interpretation of cardiac arrhythmias has been linked to safe practices and positive patient outcomes [
18,
19,
20,
21,
22].
No consensus exists in the literature about the meaning of competency in ECG interpretation and the cut-off point for competency. However, it has been stated that competency can be defined as the ability to have sound understanding of the theoretical and procedural knowledge to interpret cardiac rhythms (knowledge), the ability to recognize cardiac rhythms (skills), and possession of a reasonable level of confidence to effectively undertake the task (attitude) [
19].
Several studies conducted worldwide have reported different levels of nurse competency in arrhythmia interpretation and management [
10,
23,
24,
25,
26,
27,
28]. For example, one study reported low competency in ECG interpretation among emergency nurses [
29]. In a Turkish study, a high proportion (61%) of bedside nurses reported they did not know the correct practice for ECG monitoring or the correct interpretation of arrhythmias [
24]. Another study, conducted in Iraq to investigate nurses’ knowledge of early interventional treatment for patients with ventricular tachycardia, showed nurses lack knowledge of how to interpret an ECG and recognize ventricular tachycardia arrhythmias [
27]. However, other studies reported high competency scores in ECG interpretation. For example, a 2017 study reported ECG knowledge was high among ED nurses [
23]. They also found that knowledge was influenced by ECG training in the previous five years but was not influenced by work experience or the hospital type.
In relation to nurses’ knowledge about early intervention for arrhythmia, two previous studies reported a low level of nurses’ knowledge regarding management of life-threatening ventricular arrhythmias [
26,
27]. However, there is a scarcity of studies in Saudi Arabia evaluating nurses’ competency in the interpretation of ECG. In fact, only one study was published in this area in 2022 [
30]. That study sought to identify nurses’ competencies in ECG interpretation. The study focused on their ability to identify cardiac arrhythmia; however, it did not investigate knowledge of proper/initial management.
Therefore, this study aims to identify the level of competency in ECG interpretation, including the ability to identify arrhythmia and its initial management among nurses working in critical care settings in the Al-Madinah region, Saudi Arabia. It is expected that the findings of this study will be beneficial to understand the current nurses’ competency in ECG interpretation and arrhythmias management. Furthermore, it is expected to help in establishing nursing programs that enhance nurses’ knowledge and skills in relation to ECG interpretation and arrhythmias management.
Study Objectives
Specific objectives of this study were to identify: (1) critical care nurses’ competency levels in ECG interpretation and arrhythmia management, (2) relationship between critical care nurses’ ECG interpretation and arrhythmia management, and (3) the relationship between participants’ demographic and work data and competency level in ECG interpretation and arrhythmia management.
2. Materials and Methods
2.1. Study Design
A descriptive cross-sectional design was used to determine critical care nurses’ knowledge about common cardiac arrhythmia interpretation and management.
2.2. Sample and Settings
A convenience sampling method was used to recruit critical care nurses working in critical care units at four main governmental hospitals in two large cities in the Al-Madinah region in Saudi Arabia. These four central hospitals provide a wide range of care for patients with different medical disorders, including cardiac diseases.
To address the objectives of this study, nurses from the selected hospitals who, at the time of data collection, were working in critical care settings including the intensive care unit (ICU), coronary care unit (CCU), and emergency department (ED) were invited to participate. Excluded were nurses who do not provide direct care or are not currently working in critical care units.
The estimated sample size was calculated using G* power software [
31]. The effective sample size was determined according to the type of analysis (correlation and Chi square analysis), a medium effect size of (0.3), the power analysis level of (0.80), and a significant
p value of (0.05). Based on previous data, the minimal effective sample size was calculated to range between 158 (for correlation analysis) and 221 nurses (for Chi square analysis). A total of 270 questionnaires were returned, and 15 questionnaires were excluded for being incomplete; 255 completed questionnaires were collected and used for the final analysis of this study.
2.3. Procedure
The researcher visited the selected hospitals to recruit study participants. The researcher approached head nurses of the critical care units in each hospital to explain the purpose of this study and to disseminate the link to the online questionnaire, through email or WhatsApp, to the participants. The online questionnaire included an explanation of the objectives of the study and provided instructions on how to complete the questionnaire that was used for data collection. Printed versions of the questionnaire were also provided to the head nurses to promote participation and to increase the response rate. The online survey was hosted on a special webpage created expressly for this purpose. All replies were made to this webpage then extracted to a SPSS file for analysis.
2.4. Instrument
The goal of this study was to understand the competence in interpreting an ECG and the knowledge of first line management for selected arrhythmias. A structured questionnaire was developed and utilized for collecting data to address the objectives of this study. The questionnaire consists of two parts. Part 1 elicited demographic data (age, gender, nationality, qualification, hospital, working area experience, electrocardiographic training, and type of training). Part 2 presented 10 lead II ECG strips. The selected ECG strips were all made with the same technique (tracing speed and calibration, ECG voltage, and same paper) to prevent any technical variations or negatively influence the recognition of arrhythmias. For each strip, participants were asked to answer three questions. No. 1: participants were requested to identify (interpret) the displayed rhythm by selecting one answer only out of eleven possible answers. No. 2: participants were asked to rate the difficulty identifying the cardiac arrhythmia on a three-level scale (1 = easy, 2 = moderate, 3 = difficult). No. 3: participants were asked to identify the initial (first line) management of the cardiac arrhythmia shown in the ECG strip by selecting one answer only out of four possible answers (
Table 1). The questions were developed by the author based on reviewing different resources, including textbooks related to ECG interpretation and management of cardiac arrhythmias [
32,
33,
34], and guidelines of basic life support, cardiopulmonary resuscitation, and advance cardiac life support published by the American Heart Association [
35,
36].
The maximum score for interpretation and management questions was 10 points, with each corrected question given 1 point. Participants who scored at least 7.5 out of 10 points were deemed competent in electrocardiographic interpretation and/or management of patients with types of CVD [
23]. Conversely, those who scored less than 7.5 points were not considered competent.
To assess the clarity, readability, and reliability of the developed questionnaire, a pilot study was conducted by recruiting 20 nurses from 2 hospitals not included in the final study. Minor revisions were made based on written feedback received from the piloted nurses. The internal reliability of the developed questionnaire was good (Cronbach’s alpha = 0.85). Two PhD holders in critical nursing and two ICU consultants, who are experts in clinical health research and cardiac arrhythmia interpretations and management, reviewed the questionnaire to assess the validity, clarity, and feasibility of the developed questionnaire. Some modifications were made to the tool based on expert suggestions.
2.5. Ethical Considerations
Institutional Review Board approval was obtained from the General Directorate of Health Affairs in Madinah (H-03-M-084) before the commencement of this study. Participants were informed that participation is voluntary, names are not required, and they can withdraw from the study at any time. Informed consent was assumed if participants returned a completed questionnaire. Data were confidential; no one, except the investigator, had the authority to view the data. No names were sought; instead, an ID number was assigned to each questionnaire.
2.6. Data Analysis
Statistical Package of Social Science (SPSS) software program (version 22) was used to analyze the data. Descriptive statistics were used to describe participants’ characteristics. Chi square tests were utilized to identify the relationship between those who correctly interpreted the ECG strips and correctly identified the management of cardiac arrhythmia in each ECG strip. Independent sample t-test, one way ANOVA, and bi-variate correlation tests were conducted, as appropriate, to determine the association between demographical and work data, participants’ knowledge about ECG arrhythmia interpretation, and management. A p value of less than 0.05 was considered a significant value.
4. Discussion
The aim of this study was to identify nurses’ competency in ECG interpretation and arrhythmia management in critical care settings in four hospitals in the Al-Madinah region in Saudi Arabia. To the best of my knowledge, this is the first study to evaluate critical care nurses’ competency in ECG interpretation and arrythmias management in Saudi Arabia.
The competency level in this study was set at 7.5 out of 10. Results of the study showed overall ECG interpretation among nurses working in critical care settings (ICU, CCU and ED) was below the preset threshold (7.5 out of 10). The mean total score of correct answers of all 10 ECGs was 6.45 (±2.54). This finding is consistent with the results of other local and international studies [
29,
30,
37]. A recent study in Saudi Arabia found that 50% of nurses working in the ICU and CCU showed low competency in ECG interpretations [
30]. The total mean score was 6.68 out of 10. However, the competency level in the present study is lower than in other studies [
23,
38]. When Coll-Badell et al. evaluated the knowledge of nurses in the ED, they found competency was high, where 93% of nurses scored 7.5 or more, with the average score of 8.6 out of 10 [
23].
In the current study, only 14.9% of participants answered all 10 questions correctly. This finding is similar to Ho et al., that found 12.5% of participants correctly answered all the questions [
38].
The findings of the present study showed the questions that were most often answered correctly were related to asystole (94%) and ventricular tachycardia (75.7%). However, one study, in contrast, found nurses’ ability to identify ventricular tachycardia was low (22%) [
39]. The majority of participants in this study (81.2%) perceived the interpretation of the ECG involving asystole as easy. Given that most of the nurses in this study had completed BLS (63.9%) or ACLS (48.6%) courses, it is not surprising they can identify the asystole rhythm correctly and know how it should be managed. This finding is congruent with other studies [
29,
38,
40]. In addition, the current study found nurses had difficulties identifying atrial flutter (58.4%), atrial fibrillation (50.2%), and third-degree complete heart block (56.9%). This finding was also similar in other studies [
28,
30,
41]. In contrast, Tahboub and Dal Yılmaz found that 84.6% of nurses were able to identify atrial flutter [
42]. In addition, about two-thirds of participants were able to interpret ECG strips related to sinus bradycardia, sinus tachycardia, and PEA. It can be argued that nurses need to recognize the normal ECG first to be able to identify any abnormalities. However, the findings showed that one-third of nurses in the current study had difficulty recognizing normal sinus rhythm. This finding was also reported in 2022, which found that 42% of the nurses failed to identify the normal sinus rhythm [
30].
The second objective of the current study was to evaluate the competency level of nurses working in the critical care setting to identify first line management for some common fatal arrythmias. The results showed overall competency was below the required limits. The mean total score of correct first line management was 4.76 (±2.52) out of 10. This finding is similar to the findings of two previous studies which revealed the majority of the nurses had unsatisfactory knowledge concerning early management of life-threatening ventricular arrhythmias [
26,
27]. In the current study, no participant identified the correct first line management for all 10 ECG arrhythmias, while 61.6% identified 6 correct answers or less. The majority of participants (79.6%) identified first line management for asystole, while more than half had difficulties identifying the correct first line management for pulseless electrical activity, third degree complete heart block, atrial fibrillation, and ventricular fibrillation. In more detail, despite the fact more than 50% of the nurses correctly identified the ECG strips for ventricular fibrillation, atrial flutter, atrial fibrillation, and third-degree heart block, less than two-thirds were able to recognize the proper management of these cardiac arrhythmias. Moreover, between 81% and 85.5% of nurses in this study correctly recognized the management of cardiac arrhythmias for sinus bradycardia, ventricular tachycardia, and sinus tachycardia.
The findings of this study showed that there are significant relationships between participants’ knowledge about interpretation of ECG strip scenarios and management of ECG arrhythmias. These expected results indicated that nurses with a strong knowledge of arrhythmia interpretation were more knowledgeable about correct management of the cardiac arrhythmias and more likely to make sound clinical decisions and take quick interventional actions to manage cardiac arrhythmias [
43,
44,
45]. Moreover, these findings emphasize the importance for improving critical care nurses’ knowledge about interpretation of ECG and early identification of cardiac arrhythmias and correct management of cardiac arrhythmias [
44,
45,
46,
47].
The finding of this study showed a significant association among participants’ accurate knowledge about the interpretation of ECG rhythms, participants’ knowledge about management of cardiac arrhythmias, and the nurses’ nationality. Non-Saudi nurses scored slightly higher than Saudi nurses. Although this finding is difficult to explain, it may be attributed to the fact there were 163 non-Saudi participants in this study and 92 Saudi participants. However, this finding may indicate a lack of knowledge of ECG interpretation and arrhythmias management among Saudi nurses. Therefore, ECG interpretation knowledge and skills must be addressed in Saudi nursing curricula and continuing education programs.
In addition, the current study found an association between ECG interpretation and arrhythmia management knowledge and the department nurses worked in. Mean score of nurses working in the ICU and CCU was significantly higher than those working in the ED. A similar study found CCU experience was associated with better results on ECG interpretation [
37]. Another study revealed that nurses working in the CCU had better ECG knowledge than nurses working in the ICU and ED [
48]. Contrary to this current research, a 2021 study found that nurses who had ED experience scored significantly higher than those who did not [
38].
Several studies reported improved competency in ECG interpretation of fatal arrhythmias after education [
9,
25,
39]. Logically, nurses with training showed higher scores compared to those without training [
23,
29,
48]. It has been argued that knowledge and skills may diminish with time; therefore, refresher courses are required. Nolan and Coll-Badell et al. recommend that nurses take ECG interpretation courses at least every five years [
23,
49]. However, the findings of this current study are not consistent with previous research. The current study showed the mean score of participants was not affected by whether or not they had training. Although the majority of participants claimed to have training related to arrhythmia, it was not clear when training occurred or how affective it was. This finding draws attention to the need to evaluate arrhythmia training in both nursing curricula and on-the-job courses.
Data from the current study provided no significant difference among participants’ gender, age, qualifications, or work experience and their expertise in ECG interpretation. This result is consistent with two studies that found no correlation between age, work experience, and interpretation knowledge and skills [
37,
50]. In contrast, Keller et al. reported a positive correlation between years of experience and higher scores [
40].
4.1. Research Implications and Recommendations for Clinical Practice
This study provides baseline information to improve the evidence about the level of knowledge of critical care nurses regarding ECG interpretation and cardiac arrhythmia management in Saudi Arabia. Moreover, this study will provide helpful information to educators to develop clinical guidelines and education programs to improve critical care nurses’ knowledge and competencies for early identification, assessment, and appropriate management of patients with CVDs, particularly cardiac arrhythmias and CAD.
It is essential to improve critical care nurses’ knowledge about monitoring ECGs and identifying cardiac arrhythmias. Several strategies are recommended to achieve this. ECG monitors with automated interpretation are highly recommended in critical care settings to facilitate early detection of abnormal ECG strips and diagnosis of cardiac arrhythmias. Most importantly, the curricula of Bachelor of Science in Nursing programs in Saudi Arabia should be reviewed and adjusted to include topics about ECG interpretations and management of cardiac arrhythmias.
4.2. Limitations
Despite the importance of the findings of this study, there were a few limitations. Using a cross-sectional design will not help identify the effect and causal relationship of the lack of knowledge on interpreting ECG and cardiac arrhythmias. Additionally, using convenience sampling will negatively affect the generalization of the findings for all critical care nurses in Saudi Arabia. This study was limited to only 10 ECG rhythms; other important arrythmias can be included in other studies, such as ST elevation or pathological Q waves.