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Computer Interpretation of the ECG Raising Awareness CIERA Trial (CIERA)

2026年5月14日 更新者:Amer Ali Hasanien、University of Jordan

The Effect of Three Educational Interventions on Emergency and Critical Nurses Proficiency in Computer Interpretation of the ECG: Results of the CIERA Trial

Background: Practice guidelines require emergency and critical care nurses (ECC) to be skillful in ECG and cardiac monitoring. Evidence suggests that nurses' proficiency is still inadequate with this regard. Computer interpretation of the ECG (CIE) is accurate and improves clinicians' accuracy in ECG interpretation. Unfortunately, nurses are not taught or trained to use this technology. Through this study the investigators aim to evaluate the effectiveness of three educational interventions to improve ECC nurses' proficiency in CIE.

Methods. The investigators applied a randomized mixed, crossover and parallel, design. Linear mixed model analysis was used to examine differences in CIE test score among groups and across time. There were three interventional groups (G0, no intervention then flyer; G1, face-to-face then online; and G2, online then face-to-face) with three points of time measurement (T0, baselines; T1, after first intervention, and T2 after second intervention).

研究概览

详细说明

Nurses working in the emergency department and critical care units spend a great deal of their time reading or recording ECGs. Practice guidelines require nurses working in units where cardiac monitoring is essential to be skillful in electrocardiography and cardiac monitoring. However, evidence suggests that nurses are still far from achieving this goal. In a study conducted in 65 cardiac care units from three different countries, nurses' (n, 3013) mean total score on an online ECG test was below 50%. However, nurses' mean total score significantly improved after receiving an online ECG monitoring education program. In another study published recently, emergency department and critical care nurses' (n, 210) mean total score in an ECG proficiency test was 18.1 out of 34 with only 61.9% of nurses scoring equal to or higher than 50% of the maximum score. Inadequate nurses' performance on ECG interpretation and cardiac monitoring skills can delay or even prevent lifesaving treatment.

One way of improving emergency and critical care nurses' (ECC) ECG interpretation accuracy is through the utilization of the computer interpretation of the ECG (CIE). This tool is incredibly accurate for certain interpretation algorithms to an extent comparable to a cardiologist, which is considered the gold standard for ECG interpretation. The CIE overall accuracy is estimated to be 90 to 93%. CIE combined with an "over-read" by a well-trained interpreter represents the most accurate form currently available for ECG interpretation. Existing evidence supports CIE ability to improve health care professionals' interpretation accuracy. In a recent study, CIE improved nurses' interpretation accuracy by 16.2%, improved cardiology fellows accuracy by 10.9% , resident physicians by 14.4%, and medical students by 19.9%. In the same study, CIE increased interpretation confidence by 0.06 on a scale from 0 to 1 for all study participants.

In addition to accuracy and improving clinicians' interpretation, especially for less experienced readers, CIE has several other advantages. CIE is especially useful when access to an interpretation expert is not possible; it minimizes expenses; does not fatigue; does not become distracted by outside pressure; objective; not affected by intra or inter-observer variability; decreases interpretation time, on average, by 52 seconds and by 24-28% for the experience reader; makes interpretation easier because it requires no deep knowledge; can take into account age, gender, race, and medication therapy; capable of doing automated serial ECG comparisons; capable of applying multiple and complex criteria, for example in diagnosing left ventricular hypertrophy, that would be difficult or impossible to apply otherwise; leads to faster diagnoses and earlier treatment; can unify diagnostic statements terminology through the following of the terminology adopted by practice guidelines. Such unification of terminology in electrocardiography would facilitate better patient care and unify teaching curriculum all over the world. CIE also continues to improve over time especially with AI evolving technology.

CIE has also several limitations. CIE is generally inaccurate in diagnosing arrhythmia, conduction disturbances, and pace maker rhythms. It is also inaccurate in diagnosing ischemia and myocardial infarction. It is inaccurate in measuring the QT interval, diagnosing long QT interval, and measuring QRS duration. It is inaccurate in diagnosing atrial fibrillation. It misdiagnoses atrial fibrillation and atrial flutter. It does not identify left and right arm lead reversal. The wide variability among different interpretation software with regard to accuracy and employed measurement criteria is another major limitation. However, even with these limitations, the CIE is still considered overall to be accurate.

Nevertheless, despite its great usefulness and potential to advance nursing practice and patient's care, unfortunately nurses are not taught or trained to use this technology. Formal undergraduate, graduate, and clinical education and textbooks do not talk about CIE. Even in research studies evaluating nurses' knowledge and proficiency in electrocardiography, researchers do not include testing items concerning CIE. As far as the investigators know, there is no previous study that has ever specifically evaluated nurses' knowledge in CIE.

The investigators aim from this project which we call "Computer Interpretation of the ECG Raising Awareness CIERA" to raise awareness among nurse practitioners, educators, and managers about the utilization of this technology. Specifically, the investigators aim to introduce three educational interventions (face-to-face, online, and flyer) and assess their effectiveness in improving ECC nurses' proficiency in computer interpretation of the ECG.

The investigators followed the "CONSORT 2010 statement: extension to randomized crossover trials" guidelines in reporting the findings of this trial.

研究类型

介入性

注册 (实际的)

268

阶段

  • 不适用

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

      • Amman、约旦、11942
        • the university of Jordan

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子
  • 成人
  • 年长者

接受健康志愿者

不

描述

Inclusion Criteria:

  • Every nurse working in the emergency department and critical care units of the participating hospitals

Exclusion Criteria:

  • None

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

  • 主要用途:其他
  • 分配:随机化
  • 介入模型:交叉作业
  • 屏蔽:无(打开标签)

武器和干预

参与者组/臂
干预/治疗
实验性的:no intervention then a flyer
the flyer was a small, palm-sized, crafted from fine-quality material, thoughtfully designed to be colorful, visually inviting, and easy going, featuring carefully selected introductory images, ample whitespace, and minimal text to ensure clarity, quick engagement, and polished first impression.
the flyer was a small, palm-sized, crafted from fine-quality material, thoughtfully designed to be colorful, visually inviting, and easy going, featuring carefully selected introductory images, ample whitespace, and minimal text to ensure clarity, quick engagement, and polished first impression.
实验性的:Face-to-face then online lectures
the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The face-to-face lecture time was totally 45 minutes. The online total lecture time was 25 minutes.
the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The face-to-face lecture time was totally 45 minutes
The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The online total lecture time was 25 minutes.
实验性的:Online then face-to-face lectures
the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The face-to-face lecture time was totally 45 minutes. The online total lecture time was 25 minutes.
the face-to-face content included audiovisual aids, case scenarios, and immediate feedback discussions. The face-to-face lecture time was totally 45 minutes
The online content included artificial intelligence enhanced audiovisual aids (videos and images), integrated interactive feedback mechanisms (e.g., requiring the participant to scan a QR code and respond to real-time MCQ questions). The online total lecture time was 25 minutes.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Emergency and Critical Care Nurses Proficiency in Computer Interpretation of the ECG
大体时间:From enrollment to the end of treatment at 5 months
Emergency and Critical Care Nurses scores on the "Computer Interpretation of the ECG" test score. The test is scored out of 28 (range 0 to 28), with higher scores indicating greater proficiency. The test scale name is "Computer Interpretation of the ECG" test scale
From enrollment to the end of treatment at 5 months

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Amer M Hasanien, PhD、the university of Jordan

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始 (实际的)

2025年2月1日

初级完成 (实际的)

2025年12月31日

研究完成 (实际的)

2025年12月31日

研究注册日期

首次提交

2026年5月8日

首先提交符合 QC 标准的

2026年5月14日

首次发布 (实际的)

2026年5月19日

研究记录更新

最后更新发布 (实际的)

2026年5月19日

上次提交的符合 QC 标准的更新

2026年5月14日

最后验证

2026年5月1日

更多信息

与本研究相关的术语

其他研究编号

  • 2289\2024\19 (其他赠款/资助编号:The University of Jordan, Deanship of Scientific Research)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

是的

IPD 计划说明

all, except identifying information. Based on reasonable request.

IPD 共享时间框架

time of official publication to May 8th 2029

IPD 共享访问标准

from any researcher from any country. They will be able to access all but identifying information. access is through contacting the corresponding author.

IPD 共享支持信息类型

  • 研究方案
  • 树液
  • 国际碳纤维联合会
  • 分析代码
  • 企业社会责任

药物和器械信息、研究文件

研究美国 FDA 监管的药品

不

研究美国 FDA 监管的设备产品

不

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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